R (>= 2.10), abc.data, nnet, quantreg, MASS, locfit
R (>= 2.10), zoo, mhsmm, PhysicalActivity
R(>= 2.15.2), Matrix, coda, mvtnorm, MCMCpack, spatstat,
parallel
R (>= 2.10.0), ade4, tkrplot, shapefiles, sp, graphics
R (>= 3.0.1), sp, methods, deldir, ade4, adehabitatMA,
adehabitatLT
R (>= 3.0.1), sp, methods, ade4, adehabitatMA, adehabitatHR
R (>= 2.10.0), sp, methods, ade4, adehabitatMA, CircStats,
stats
R (>= 2.12.0), stats, grDevices, graphics, Matrix, igraph
ggplot2, tripack, sgeostat, spatstat, splancs
R (>= 2.13.0), stats, survival, MASS, graphics, grid
R (>= 3.0.0), methods, stats, lme4, boot
methods, stats, modeltools, nnls (>= 1.1)
R (>= 3.0.0), RSQLite, DBI, shiny, lubridate
R (>= 2.15.0), methods, graphics, tcltk, corpcor
stats, exact2x2, exactci, bpcp, ssanv, coin
R (>= 2.10), qtl, gtools, fields, lattice
R (>= 2.15.1), splancs, Hmisc, shapefiles
cluster, mvtnorm, combinat, fExtremes, R(>= 2.10.0)
R (>= 2.10), proto, cairoDevice, gWidgetsRGtk2, partitions
R (>= 2.7.0), DiceDesign, lhs, metRology, msm, sensitivity
emulator (>= 1.2-13), calibrator (>= 1.2-5), approximator (>=
1.2-6)
R (>= 1.4.1), bayesm, coda, MASS, stats, mice, survival,
foreign,nnet
R (>= 2.14.0), rJava (>= 0.8-4), car, randomForest, missForest
R (>= 3.0.0), graphics, nls2, spatstat, stats, vegan
R (>= 2.14.2), gWidgets, gWidgetsRGtk2, bayesTFR (>= 4.0-0),
bayesLife (>= 2.0-0), bayesPop (>= 5.0-0)
R (>= 2.14.1), gplots, xtable, grDevices, mnormt, MASS,
bayesm, boa, e1071, gtools
R (>= 2.12.1), R2jags, QRM, polspline, MCMCpack
coda, lattice, MASS, MCMCpack, RColorBrewer
R (>= 3.0.0), survival, coda, smoothSurv
R(>= 2.15.2), lme4 (>= 0.999375-35), MASS, VGAM, mvtnorm,
matrixcalc, coda
R (>= 2.10.0), c3net, infotheo, igraph, Matrix, lattice
R (>= 2.10.0), Biobase (>= 2.5.5), methods, geneplotter
R (>= 2.10), utils, proto, ggplot2, relations, psychotools
R (>= 2.0), mvtnorm, car, lattice, combinat
R (>= 2.10), MASS, grid, colorspace, lattice
methods, stats, utils, bigmemory (>= 4.0.0)
R (>= 3.0), grDevices, graphics, stats, utils, reader (>=
1.0.1), NCmisc (>= 1.1), bigmemory (>= 4.0.0), biganalytics
R (>= 2.10.0), methods, stats, graphics, utils
rexpokit, cladoRcpp, ape, phylobase, methods
stats, utils, sp, raster, parallel, reshape, ggplot2
R (>= 2.12), amap, e1071, scales, cluster, rgl
R (>= 2.15), utils, rpanel, tkrplot, MASS, boot
R (>= 2.7.0), bootstrap, monreg, R2WinBUGS, coda (>= 0.17.1)
Rcpp (>= 0.10.6), parallel, methods, digest
survival, leaps, robustbase, inline, rrcov
R (>= 1.7), Amelia, MASS, lavaan, sem, snowfall
R (>= 3.1.1), MASS, compiler, pscl, plyr, batchmeans
R (>= 2.15.0), lattice, igraph, MASS, Matrix
R (>= 2.10), car, heplots (>= 0.8.6), graphics, stats
R (>= 2.14), MASS, MatchIt, nnet, numDeriv
Rcpp (>= 0.9.10), parallel, pcaPP (>= 1.8-1), robustbase
R (>= 2.10), grDevices, graphics, stats, utils
R (>= 2.10), parallel, DNAcopy, DPpackage
ChemometricsWithRData (>= 0.1.3), MASS, pls
R (>= 2.11.0), methods, stats, pls, plyr, reshape2, ggplot2
R (>= 2.0.0), sandwich, lmtest, ggplot2, survey
R (>= 3.0.1), methods, igraph, stats, utils
R (>= 2.15.0), CNVassocData, mixdist, mclust, survival
R (>= 2.10), Hmisc, munsellinterpol, pracma, sp
hash, gdata, lattice, latticeExtra, oro.nifti
R (>= 2.13.1), Hmisc, gdata, xtable, SNPassoc
R (>= 2.2.0), tensorA, robustbase, energy, bayesm
R (>= 3.1), methods, utils, MASS, graphics, stats
R (>= 2.12.0), caret, ggplot2, grid, randomForest, e1071,
methods
graphics, grDevices, stats, utils, coneproj
R (>= 3.1.2), ape, geiger, MASS, phytools
R (>= 3.0.0), RCurl, bitops, httr, rjson
R (>= 2.14.0), survival, Matrix, prodlim
survival (>= 2.36.14), methods, bdsmatrix(>= 1.3)
R (>= 3.2.0), MESS, graphics, stats, multtest, qvalue, limma
R (>= 2.10), coda, Matrix, splines, methods
R (>= 2.10), pcaMethods (>= 1.56.0), Biobase, methods
R (>= 3.0.2), rJava (>= 0.8-3), CommonJavaJars (>= 1.0.5),
JavaGD, ggplot2
R (>= 3.0.0), Matrix, tseriesChaos, fields, plot3D, pracma
R (>= 3.0.0), cudaBayesregData, oro.nifti
feature, flowCore, geometry, hdrcde, ks, misc3d, ptinpoly, rgl
R (>= 3.0), geiger, caper, ape, deSolve, matrixStats
R (>= 2.11.0), xtable, akima, R.oo, R.methodsS3, matlab,
lattice, locfit, graphics, grDevices, grid
stats, utils, graphics, grDevices, MASS, class, robustbase
Deducer, psych, GPArotation, mvnormtest, irr, klaR
JavaGD (>= 0.6-0), Deducer (>= 0.7-4), sp, maptools,
OpenStreetMap, scales, rgdal
R (>= 2.15.2), forecast (>= 3.09), rainbow, ftsa, cobs
R (>= 2.5.0), abind, grDevices, rgl, circular
R (>= 3.0.0), ggplot2, Rcpp (>= 0.11.2), rrcov, methods, MASS,
np
DiceKriging (>= 1.2), rgenoud, MASS, lhs, mnormt
R (>= 2.01), deSolve, rootSolve, bvpSolve, ReacTran, deTestSet
R (>= 2.14.0), rgdal, raster, methods, ggplot2
R (>= 2.14.0), maptools, spatstat, spdep
R(>= 2.14.0), methods, graphics, startupmsg, sfsmisc,
SweaveListingUtils
R(>= 2.8.0), methods, graphics, mvtnorm, setRNG(>= 2006.2-1),
distr(>= 2.2), distrEx(>= 2.2), distrSim(>= 2.2)
R (>= 2.15), Matrix, gamlr, parallel, methods
R(>= 2.6.0), methods, graphics, setRNG(>= 2006.2-1),
distrSim(>= 2.2), startupmsg
R (>= 2.10.0), methods, snowfall, boot, MASS
R (>= 3.2.1), ggplot2,dplyr, gridExtra, gtable
graphics, grDevices, stats, utils, coneproj, Matrix, MASS
R (>= 2.10), MASS, nlme, survival, splines
R (>= 2.0.0), spatstat (>= 1.22-0), RandomFields
shapefiles, splancs, mrds, mgcv, methods
R (>= 3.0.2), ggplot2, moments, tgp, tseries
separationplot, ensembleBMA, plyr, methods, Hmisc, abind
R (>= 2.10), operators, topmodel, DEoptim, XML
R (>= 2.01), rootSolve, shape, diagram, deSolve
R (>= 2.15.3), lpSolve, geometry, vertexenum, MASS
R (>= 3.1.1), bigsplines, eegkitdata, ica, rgl
R (>= 2.10.0), locfit, lattice, latticeExtra, grid, xlsx
deSolve, parallel, HelpersMG, coda, polynom, R (>= 2.14.2)
R (>= 3.0.1), GPArotation, limSolve, shape
R (>= 2.10), MASS, stringr, sna, network, gdata, stats, utils,
graphics
dismo, raster, rJava (>= 0.5-0), methods, R (>= 2.10)
R (>= 2.6.2), foreign, survival, MASS, nnet
R (>= 2.12.0), lassoshooting (>= 0.1.4), Matrix, methods,
graph
statnet.common (>= 3.1-0), network (>= 1.11)
statnet.common (>= 3.1), ergm (>= 3.4), network
CDVine, ggplot2, gridExtra, reshape2, ycinterextra
stats, graphics, MASS, splines, gsl, SparseM
R (>= 3.0.0), methods, sp, spdep, rgeos, deldir
R (>= 2.10.0), Lmoments, distillery, car
R (>= 2.7.0), methods, rgenoud (>= 5.4-7), gWidgetsRGtk2 (>=
0.0-31), stats4, rrcov, Matrix
sensitivity, igraph, DiceKriging (>= 1.4)
R (>= 2.4.0), methods, timeDate, timeSeries, fBasics
R (>= 2.4.0), timeDate, timeSeries, fBasics, fOptions
R (>= 2.15.1), timeDate, timeSeries, fBasics
R (>= 2.4.0), timeDate, timeSeries, fBasics
R (>= 2.6.0), fBasics, fOptions, fExoticOptions
R (>= 3.0), stats, graphics, methods, Rcpp
R (>= 2.15.1), timeDate, timeSeries, fBasics, fMultivar
R (>= 2.10.0), splines, Matrix, graphics
R (>= 2.11.0), foreach, mvtnorm, matrixcalc, numDeriv
R (>= 2.10), fda, splines, MASS, mgcv, rpart
R (>= 2.6.0), stats, grDevices, graphics
R (>= 3.0.0), methods, maps, mapdata, proj4, geoR, sp
R (>= 2.4.0), methods, timeDate, timeSeries, fBasics, fOptions
R (>= 2.15.0), mvtnorm, tmvtnorm, fCertificates, Matrix
R (>= 2.4.0), timeDate, timeSeries, fBasics, fGarch, fTrading
R (>= 2.10), methods, graphics, tcltk, tkrplot, R2HTML
R (>= 2.15.0), stats, graphics, methods, timeDate, timeSeries,
fBasics (>= 2100.78)
R (>= 2.0.0), methods, rgl, RColorBrewer
R (>= 2.14.0), methods, filehash (>= 1.0), DBI, RSQLite
R (>= 2.13.0), methods, timeDate, timeSeries
gWidgets, tcltk, tkrplot, RGtk2, gWidgetsRGtk2, cairoDevice
R (>= 2.0.0), lattice, leaps, ltsa, bestglm
R (>= 2.15.0), lattice, MASS, Matrix, igraph
R (>= 2.14.0), graphics, grid, lattice, modeltools
R (>= 2.0.0), graphics, stats, tseries, forecast
R (>= 2.4.0), methods, timeDate, timeSeries, fBasics, fGarch
R (>= 3.0.2), stats, graphics, zoo, timeDate
R (>= 3.0.0), operator.tools(>= 1.4.0), utils, methods
R (>= 2.15.1), methods, timeDate, timeSeries, fBasics, fAssets
R (>= 2.0.0), graphics, stats, forecast, fma, expsmooth,
lmtest, tseries
emg (>= 1.0.5), numDeriv, methods, stats4
futile.any (>= 1.3.0), futile.logger (>= 1.3.0), timeDate,
quantmod
R (>= 2.10), survival, boot, MASS, survC1
R (>= 2.11), methods, quadprog, Rglpk, timeSeries
R (>= 3.1), methods, smacof, vegan, ellipse
R (>= 2.8.1), classInt, colorspace, methods, rgl, sp
R (>= 3.1.0), caret, gsubfn, hmeasure, utils, parallel
R (>= 2.4.0), urca, methods, timeDate, timeSeries, fBasics
R (>= 3.0.0), methods, grDevices, graphics, stats
R (>= 2.15), methods, foreach, iterators
R (>= 2.7.0), stats, matrixStats, R.methodsS3
lpSolveAPI, combinat, gtools, ineq, kappalab
R (>= 2.15.0), graphics, stats, splines, utils, grDevices,
gamlss.data, gamlss.dist (>= 4.3.1), nlme, parallel
R (>= 2.15.0), gamlss.dist, gamlss (>= 2.4.0), mgcv, nnet,
rpart, graphics, stats, utils, grDevices, methods
R (>= 2.2.1), gamlss.dist, gamlss, survival
R (>= 2.4.0), rpanel (>= 1.1-1), gamlss.dist, gamlss.tr,
tcltk, graphics, stats, grDevices
R (>= 2.2.1), gamlss.dist, gamlss, nnet, stats, graphics
R (>= 2.15.0), gamlss.dist, gamlss (>= 4.2-7), spam, mgcv
R (>= 2.9.0), survival, lattice, splines, parallel
R (>= 2.11.1), RSQLite, plyr, reshape, lattice
R (>= 2.15.0), methods, MASS, utils, GenABEL.data
R (>= 2.10), stats, dplyr, doParallel, ggplot2, foreach,
parallel, methods
R (>= 3.0.0), survival, cluster, class, parallel
R (>= 3.1.1),plspm, quantreg,mice,diagram, methods
R(>= 2.15-0), rgeos, classInt, sp, maptools, geosphere
R (>= 2.15.0), gstat, genalg, MASS, sp, minqa
R (>= 2.15.0), FD, StatMatch, fields, sp
R (>= 2.11.0), R.utils, R.oo, R.methodsS3, abind, ncdf
R(>= 2.7), methods, numDeriv, graphics, stats, gplots
R (>= 2.15.0), maptools, sp, RColorBrewer, MASS, rgeos
GLDEX (>= 2.0.0.1), grDevices, graphics, stats
R (>= 2.6.0), alabama, nleqslv, BB, SQUAREM
R (>= 2.10.0), methods, stats, graphics, fGarch, fastICA
R (>= 2.7.0), randtoolbox, orthopolynom, ks, lars
R (>= 3.0.2), ape, sp, methods, snowfall, rgl
R (>= 2.15.0), grid, gridGraphviz, gridSVG
R (>= 2.10.1), grDevices, graphics, stats, utils, MASS, rgl,
misc3d
R (>= 3.0.0), ggplot2, xtable, stringr, RUnit, plyr
R (>= 3.0.2), Hmisc, mvtnorm, MCMCpack, graphics
R (>= 2.10), CompQuadForm, e1071, gee, geepack, Matrix
R (>= 2.10.0), Matrix, MASS, splines, mgcv
R (>= 2.12.0), methods, digest, memoise, tcltk(>= 2.7.0),
gWidgets2
R (>= 3.0.0),maptools (>= 0.5-2), robustbase,sp
R (>= 3.0), glmnet, foreach, MASS, iterators
R (>= 2.10), utils, Matrix, MASS, hglm.data
R (>= 3.0.2), lattice, stats, grid, latticeExtra, multcomp,
gridExtra
methods, grid, lattice, survival (>= 2.37-6), Formula, ggplot2
MASS, mvtnorm, corpcor, numDeriv, stats, boot
R (>= 2.10.0), sp, raster, rgdal, rootSolve, signal, methods
R (>= 3.1.2), lattice, coda, MASS, MCMCpack
R (>= 3.0.2), forecast (>= 5.0), SparseM, Matrix
R (>= 3.0.0), Matrix, lattice, igraph, MASS
R (>= 2.15), methods, utils, lattice, grid, ggplot2 (>=
0.9.2), mvtnorm
R (>= 3.1.1), lpSolve, MASS, car, lsmeans, multcompView
R (>= 2.11.0), fields, deldir, rgeos, sp, spdep
R (>= 2.0.1), utils, stats, MASS, cluster
R (>= 2.15.0), lattice, caTools, gdata, gtools, gplots,
parallel
corpcor, ggplot2, dummies, animation, ca
R (>= 2.10), ROCR, parallel, doParallel, foreach
R (>= 3.0.3), demography, rainbow, forecast, date
R (>= 2.10), tmvtnorm, norm, pcaMethods, impute
prettyGraphs (>= 2.1.4), ExPosition (>= 2.0.0)
R (>= 2.13.0), deSolve, nlme, lattice, compiler
R (>= 2.2.1), stats, survival, perm (>= 1.0), Icens, MLEcens
R (>= 3.0.0), stats, lattice, moments, methods
graphics, grDevices, stats, utils, coneproj, Matrix
partitions, stats, VGAM, MASS, ape, apTreeshape, geiger,
gtools
quadprog, randtoolbox, parallel, R (>= 2.15)
R (>= 2.13.0), graphics, stats, grDevices
R (>= 3.0.0), Rcpp, plyr, lme4, doParallel
R (>= 3.0.0), MASS, nlme, splines, survival
R (>= 3.1.2), MASS, nlme, splines, survival
R (>= 2.13.0), nlme, MASS, boot, survival, lattice, statmod,
gdata
R(>= 2.1.0), methods, lpSolve, quadprog, kernlab
R (>= 3.0.0), methods, graphics, survival, Formula, coin
R (>= 3.0.0), mvtnorm, snowfall, corpcor
R(>= 2.11.0), methods, stats, graphics, ltm
R (>= 2.15.0), plyr, evmix, MASS, ks, sparr
R (>= 2.9.0), xtable, psychometric, polycor, methods,
graphics, tools
R (>= 2.13.1), compiler, rootSolve, emplik, Rcpp
R (>= 2.8.0), statnet.common, network, ergm (>= 3.2.0)
R (>= 2.14), lava (>= 1.1), mvtnorm, survival
R (>= 2.6.0), Hmisc, Kendall, mvtnorm, VGAM
R (>= 3.1.2), MASS, alabama, plotrix, ca
R (>= 2.10), lattice, lmom, lmomRFA, latticeExtra
R (>= 2.14.1), sn, moments, BB, Bolstad2, optimx, Rmpfr
R (>= 2.10), DEoptim, ggplot2, gtools, rtf
R (>= 2.10), rootSolve, XLConnect, digest
R (>= 3.0.0), Matrix, stats, methods, lme4 (>= 1.0)
R (>= 1.8.0), igraph, MASS, vegan, Matrix
R (>= 2.15.0), base, methods, utils, grDevices, graphics,
stats
R (>= 3.0.0), Matrix, lme4 (>= 1.0), nlme, methods
R (>= 2.7.0), MASS, msm, mvtnorm, polycor, sfsmisc, ltm,
Hmisc, rms
LS2W(>= 1.3-1), matrixStats, geoR, RandomFields, spdep
R (>= 2.12.1), LICORS, RColorBrewer, fields, gam, Matrix
mvtnorm, fBasics, stats, utils, graphics, grDevices
R (>= 3.1.1), MASS, ergm, network, ellipse
R (>= 2.4.1), party, plsgenomics, st, e1071
R (>= 3.0.0), methods, MALDIquant (>= 1.8)
R (>= 2.15.1), methods, genefilter, metaMA, xtable, multtest,
gtools, grid, GeneMeta
R (>= 3.1.0), grDevices, graphics, stats, utils
R (>= 2.6.0), MASS (>= 7.2-1), graphics, grDevices, stats
R (>= 2.10), MGRASTer, BIOM.utils, graphics, stats, utils
R (>= 2.13.2), corpcor, foreach, multcomp, randomForest, MASS
R (>= 2.14.0), methods, stats, parallel, stabs (>= 0.5-0)
R (>= 2.10), graphics, stats, tseries, forecast
lattice, locfit, maptools, quantreg, RANN, SparseM
MASS, boot, RColorBrewer, scatterplot3d, tcltk, tcltk2,
tkrplot, rpanel, graphics, rgl
R (>= 2.15.1), MASS, Matrix, mvtnorm, sandwich
R (>= 2.15.0), seqinr, pcaMethods, Matrix,
ROCR,Hmisc,KernSmooth, methods, seqLogo
R (>= 2.9.0), lattice, stats, methods, utils, MASS
mclust, mvtnorm, ellipse, gtools, gplots
stats, mvtnorm, ellipse, bbmle, rjags, coda
R (>= 2.10.0), proto, foreach, iterators
astroFns, plotrix, graphics, R (>= 2.10)
prettyGraphs (>= 2.0.0), ExPosition (>= 2.0.0)
R (>= 2.10.1), evd, numDeriv, corpcor, fields
R (>= 2.10), Formula, truncreg, maxLik, pbivnorm
R (>= 2.10), maptools, RColorBrewer, rgdal, sp
R (>= 2.14), graphics, grDevices, methods, stats, utils
R (>= 2.0.0), tcltk, tcltk2, MASS, RODBC
R (>= 2.10.0), boot, MASS, segmented, stats
R (>= 2.0.0), MASS, limSolve, MultiLCIRT
R (>= 3.0), graphics, stats, utils, base
R (>= 2.0.0), urca, stabledist, fGarch, lattice
R (>= 3.0.0), BBmisc (>= 1.9), ggplot2, ParamHelpers (>= 1.5),
stats
R (>= 2.10.0), methods, magic, partitions, emulator, Oarray
(>= 1.4-5)
GSVA (>= 1.13.1), kknn (>= 1.2-5), parallel, lattice,
pheatmap, R (>= 2.10)
R (>= 2.8.1), PolynomF (>= 0.93), SparseM (>= 0.79), stats,
utils, base
R (>= 2.13.0), randomForest, raster, gbm, rgdal
R (>= 2.3.0), stats, impute, grDevices, dynamicTreeCut
R (>= 2.14.0), methods, mvtnorm, ncvreg, actuar, mgcv
R (>= 3.0.0), car, dplyr, lattice (>= 0.20-21), ggplot2,
mosaicData
reshape2, ggplot2, lubridate, stats, lmtest, methods, plyr
methods, parallel, compiler, matrixcalc, Formula, R (>=
2.14.1)
IRanges, RWeka, rJava, R.utils, R (>= 3.2.0)
R (>= 2.10), Matrix, stats, class, glmnet, stats4, e1071, rgl,
RColorBrewer, colorspace
R (>= 2.15.0), base, stringr, graphics, methods, XML,
sensitivity, lhs, rgl
XML, geosphere (>= 1.2-15), sp, RSQLite, NightDay
stats, graphics, mvtnorm (>= 1.0-3), survival (>= 2.35-7),
TH.data (>= 1.0-2)
lars (>= 0.9-8), penalized, polspline, rpart
car, pdist, pls, gplots, mvtnorm, robustbase, gtools, bitops,
caTools, pcaPP, rrcov
R (>= 2.8.0), mutoss (>= 0.1-6), multcomp, plotrix
R (>= 3.1.0), Formula, nlme, MNM, quantreg, Rfit
R(>= 2.9.1), phytools, ape, corpcor, subplex, spam
R(>= 2.9.1), ouch, ape, numDeriv, mvtnorm, corpcor
R (>= 3.0.0), drc, gdata, gWidgets, kyotil
R (>= 3.0), network (>= 1.12),networkDynamic (>=
0.6),animation (>= 2.3),sna
optimbase (>= 1.0-9), optimsimplex (>= 1.0-5), methods
cvTools, corpcor, glasso, glmnet, igraph
R (>= 3.1.1), BiocGenerics, Biobase, igraph, limma
R (>= 2.9.2), MASS, psych, boot, lattice
R (>= 3.0.0), methods, utils, pkgmaker (>= 0.20), registry,
rngtools (>= 1.2.3), cluster
Matrix, rgl, tseries, TSA, Rcpp (>= 0.10.5), graphics, stats
R (>= 1.8.0), lpSolve, gdata, Hmisc, rms, geometry, psych, pwt
R (>= 2.3.0), DistributionUtils, GeneralizedHyperbolic
R (>= 2.10), combinat, MASS, partitions, stats, survival
R (>= 2.10), nutshell.bbdb, nutshell.audioscrobbler
R (>= 3.0.2), graphics, methods, ncdf4, proj4
graphics, grDevices, stats, utils, R (>= 2.10)
R (>= 3.0.2), digest, MASS, methods, parallel
rJava, methods, raster, rgdal, R (>= 2.10.0)
mvtnorm, clinfun, stats, graphics, R (>= 2.14.1)
R (>= 2.15.1), stats, methods, graphics, survival
R (>= 2.15.0), methods, graphics, lattice, hash, grid
R (>= 2.10), methods, XML, RCurl, geosphere
R(>= 3.0.0), methods, stats, graphics, subplex
R (>= 3.0.0), methods, ggplot2, network, knitr
R (>= 3.0.0), methods, survival, quantreg, Formula
R (>= 3.0.1), parallel, mboost, party, iterators
R (>= 2.14.0), methods, grid, stats, mvtnorm (>= 1.0-2),
modeltools (>= 0.2-21), strucchange
R (>= 3.2.0), parallel, GenomicAlignments
R (>= 2.14), svmpath, kernlab, affy, Biobase, ROCR, igraph,
lpSolve
methods, mvtnorm, foreach, reshape, ggplot2
R (>= 3.0.0), methods, graphics, grid, ggplot2, gridExtra,
reshape2
R (>= 3.0.0), methods, rlecuyer, pbdMPI (>= 0.2-3)
R (>= 2.4.0), MasterBayes, MCMCglmm, kinship2, grid
R (>= 3.0.1), stats, Matrix, CompQuadForm, survey, kinship2
(>= 1.5.4)
e1071, MASS, corpcor, statmod, tgp, mlegp, lhs
R (>= 2.15.1), lattice, fda, quadprog, latticeExtra
R (>= 2.15.1), lattice, TSP, fda, Matrix, foreach
R (>= 2.2.0), methods, utils, graphics, stats
R (>= 2.14.1), ggplot2 (>= 0.9.2), parallel, robustbase
R (>= 2.10), ggplot2, foreach, ape, doParallel, parallel
methods, grid, xtable, RColorBrewer, gdata
R (>= 2.14), gstat, RColorBrewer, lattice, pheno
R (>= 2.14.1), graphics, stats, utils, qtl, VGAM, mixtools
fields, zoo, coda, HelpersMG (>= 1.2), shiny, R (>= 2.14.0)
R (>= 1.8.0), survival, graphics, splines
R (>= 2.15.0), ggplot2, stats, png, FrF2, DoE.base
R (>= 2.10.0), RGtk2, gWidgetsRGtk2, cairoDevice, lattice,
rggobi, ggplot2, proto
R (>= 2.7.0), lattice (>= 0.16-3), cairoDevice, gWidgetsRGtk2
(>= 0.0-45), grid
R (>= 2.14.2), MASS, splines, limma, R.oo
R (>= 3.0.0), methods, rlecuyer, pbdMPI (>= 0.2-2), MASS
graphics, grDevices, stats, utils, BB, corpcor, MASS, Matrix
R (>= 2.10), methods, graphics, grid, lattice, nlme
R (>= 2.14.0), zoo, xts (>= 0.8), foreach,
PerformanceAnalytics (>= 1.1.0)
R (>= 2.10), methods, lattice, portfolio (>= 0.4.0)
R (>= 2.12.0), Hmisc, ROCR, epitools, PBSmodelling
R (>= 2.10), methods, sp, rgdal (>= 0.7-4), ggplot2,
directlabels
R (>= 3.0.2), parallel, survival, Hmisc, glmnet, MASS
R (>= 2.10.0), boot, methods, stats, stats4, lme4, Hmisc
ggplot2, MASS, RColorBrewer, reshape, methods, plyr, R (>=
3.0.0)
R (>= 2.13.0), MASS, tmvtnorm, Rcpp (>= 0.10.1), ff,
minpack.lm
LearnBayes, SuppDists, mvtnorm, R (>= 2.12.2)
R (>= 2.14.1), utils, stats, graphics, grDevices
psych, plyr, rtf, R2HTML, mokken, lavaan, semTools
R (>= 2.15.0), methods, dcmle, dclone, stats4
R (>= 2.14.0), abind, tcltk, grDevices, utils, QCA (>= 0.4-6)
R (>= 3.1.0), qdapDictionaries (>= 1.0.2), qdapRegex (>=
0.1.2), qdapTools (>= 1.0.3), RColorBrewer
R (>= 2.13.0), MASS, minpack.lm, rgl, robustbase, Matrix
R (>= 2.6), stats, graphics, grDevices, quantreg
R (>= 3.0.1), gsl, Matrix, mvtnorm, numDeriv, timeSeries
R (>= 2.10), stats, qtl, lattice, corpcor, mnormt
R (>= 2.10), qtl, igraph, sem, graph, pcalg
R (>= 3.1.1), boot, DEoptim, dplyr, ggplot2, tidyr
R (>= 3.0.0), stats, agricolae, stringr, pixmap, shiny, xtable
R (>= 2.13.0), BayesXsrc, colorspace, mgcv
R (>= 3.0.0), fields, MCMCpack, methods, mixOmics, mvtnorm,
snowfall
R (>= 2.15.0), stats, stats4, methods, lattice, coda (>=
0.16-1)
R (>= 3.0.0), graphics, grDevices, methods, rgl, geometry,
oro.dicom (>= 0.5.0), ptinpoly
R (>= 2.14.0), MASS, foreach, doParallel
R (>= 3.0.0), methods, utils, RSQLite (>= 1.0.0), rgdal
R(>= 2.10.0), sp, RANN, PBSmapping, RgoogleMaps
R (>= 2.15.0), lattice, plyr, pander, yaml
R (>= 2.14.0), methods, raster (>= 2.0-12), lattice,
latticeExtra
R (>= 3.0.0), grDevices, utils, splines, RcmdrMisc (>= 1.0-2),
car (>= 2.0-21)
R (>= 3.0.0), grDevices, utils, car, sandwich
R (>= 2.10), Rcmdr (>= 1.7.0), coin, survival, multcomp
Rcmdr (>= 1.8-3), TeachingDemos, tseries,
abind,MASS,xts,forecast
R (>= 2.13.0), Rcmdr (>= 1.4-6),lattice,grid,grDevices
R (>= 2.10), Rcmdr (>= 1.7.0), ROCR, pROC, ResourceSelection
Rcmdr (>= 1.3-0), tcltk, car, RColorBrewer, colorspace,vcd
methods, tm (>= 0.6), NLP, slam, zoo, lattice
R (>= 2.10.0), MASS, methods, Matrix, lattice
R (>= 2.15.0), sandwich, lmtest, AER, Formula
R (>= 2.10.0), Matrix, registry, arules (>= 1.0-1), proxy
R (>= 3.0.1), gplots, zoo, methods, MatrixEQTL
R (>= 2.14.0), methods, mvtnorm, boot, Matrix
R(>= 2.2.1), MASS, boot, survey, mitools, graphics
R (>= 2.10), Rcpp (>= 0.10.3), raster, foreach, methods
graphics, stats, utils, gWidgets, gWidgetstcltk(>= 0.0-44),
Renext(>= 2.1-0)
R(>= 3.0.0), stats, utils, graphics, grDevices, RColorBrewer
R (>= 3.0), copula, RGENERATE, blockmatrix, Matrix, stringr
R (>= 2.13.0), datasets, stats, grDevices, graphics, methods,
grid, lattice, ggplot2
tools, xlsx, ggplot2, stringr, utils, stats, shiny
R (>= 3.0.2), methods, rugarch, parallel
RMOAjars (>= 1.0), rJava (>= 0.6-3), methods
R (>= 3.0), copula, RGENERATE,RMAWGEN,blockmatrix,Matrix
Hmisc (>= 3.15-1), survival (>= 2.37-6), lattice, ggplot2,
SparseM
R (>= 2.10.0), methods, graphics, tcltk, graph
R (>= 2.10.0), methods, RCurl, XML, stats
robustbase, quantreg, splines, BB, rgenoud
fit.models, MASS, lattice, robustbase, rrcov, stats
R (>= 2.9.2), robustbase, stats, graphics, survival
R (>= 2.10), splines, survival, penalized, survivalROC
R (>= 2.10), splines, date, survival, relsurv
R (>= 2.14.2), ape, picante, pspline, deSolve
R (>= 2.15.0), graphics, stats, grDevices
R (>= 2.13.0), rjson, RCurl, seqinr, knitcitations
rrcov (>= 1.3-7), robustbase (>= 0.92-1), methods
R (>= 2.15.0), lavaan (>= 0.5.11), ggplot2, lattice, tkrplot,
tcltk
R (>= 2.10), sqldf, XML, scales, FactoMineR, ggplot2
R (>= 2.15.0), methods, sybil, RBGL, graph
R (>= 2.15.1), biwt, cairoDevice, fBasics, grDevices, gplots,
gWidgets, gWidgetsRGtk2, minerva, parmigene, stringr, snowfall
R (>= 2.10.0), stats, truncnorm, parallel
R (>= 3.0.2), Rcpp (>= 0.11.0), utils, inline, methods
R(>= 2.15.1), stats, utils, grDevices, graphics, parallel
R (>= 2.14), methods, grid, foreign, memisc, psych, ggplot2
(>= 0.9.2)
R (>= 2.10), raster, Rcpp (>= 0.10.3), methods, utils, stats,
grDevices, graphics
neldermead (>= 1.0-8), lattice, grid, deSolve, utils
R(>= 2.10), FKF(>= 0.1.0), mvtnorm, methods, RUnit
R (>= 3.2.0), stats, utils, graphics, grDevices, ggplot2,
methods
R (>= 2.6.0), stats, grDevices, graphics, MASS
R (>= 2.10), brew, knitr,data.table,xtable
sdcMicro (>= 4.5.0), gWidgetsRGtk2,gWidgets, tcltk,
cairoDevice
stringr, methods, Rcpp (>= 0.11.0), Rglpk, lpSolveAPI
R (>= 2.10.0), methods, magic, foreach, parallel, doParallel,
tuple (>= 0.4-02)
R (>= 3.0), igraph, doParallel, foreach, iterators, parallel
R (>= 3.0.1), ggplot2 (>= 0.9.3), MASS, mgcv, survival, coda
R (>= 2.15.3), survival, NADA, lubridate
R (>= 2.14.0), sem, stats, MASS, matrixcalc
R (>= 3.1.1), copula, mgcv, mvtnorm, gamlss.dist
R(>= 3.0), methods, lavaan(>= 0.5-18), utils, stats, graphics
R (>= 3.0.0), copynumber, parallel, squash
graphics, grDevices, stats, utils, lattice
stats, grDevices, graphics, R (>= 2.0.0)
graphics, grDevices, stats, utils, shiny
hdrcde, coda, MASS, bayesm, mnormt, spatstat
R (>= 2.10), MASS, corpcor, mmap, ade4, infotheo
R (>= 2.5.1), hdrcde, locfit, MCMCpack, tcltk
stats, graphics, grDevices, utils, rcdk, R (>= 2.13)
flsa, igraph, dse, Matrix, R (>= 2.10.1)
R (>= 3.1), graphics, grDevices, stats, utils
R (>= 2.10), Matrix, coxme, survival, CompQuadForm
R (>= 2.3.0), DistributionUtils, GeneralizedHyperbolic, RUnit
R (>= 2.10), rjson, ggplot2, httr, htmltools
ParamHelpers (>= 1.3), BBmisc (>= 1.6), checkmate (>= 1.1)
doParallel, foreach, parallel, methods, stats
R (>= 3.0.0), haplo.stats, survival, mvtnorm, parallel
R (>= 2.10), IRanges, GenomicRanges, Biostrings, Rsamtools
R (>= 2.14.1), aqp, lattice, munsell, splancs, methods
R (>= 2.10), methods, zoo, lattice, latticeExtra
R (>= 2.15.0), XML, RCurl (>= 1.4-1), sp, methods, graphics
utils, methods, Cairo, gridExtra, ggplot2,shiny, Rglpk
lars, elasticnet, MASS, mda, R (>= 2.10)
R (>= 1.9.0), Matrix, spdep, mvtnorm, tmvtnorm
R (>= 3.0.1), cubature, mvtnorm, SpatialExtremes
parallel, iterators, foreach, rgdal, raster, R (>= 3.0.0)
R (>= 2.10.0), spatstat (>= 1.37-0), fields (>= 6.8),
smoothie, smatr, turboEM
R (>= 3.2.0), stats, graphics, grDevices, utils, methods
R (>= 1.8.0), coda, magic, abind, Formula
R (>= 3.0.0), lars, randomForest, parallel
R (>= 3.0.0), base, methods, datasets, utils, grDevices,
graphics, stats
R (>= 2.9.2), rlecuyer, ff (>= 2.1-1), randomForest
R (>= 2.5.0), methods, grid, lattice, graphics, base, stats
GIGrvg, numDeriv, normalp, Formula, survival
R (>= 2.10), survival, mgcv, R2HTML, gss, codetools
R (>= 3.0.0), ggplot2, grid, scales, gridExtra, RColorBrewer
R (>= 2.7.0), proxy, clue, survey, RANN, lpSolve
R (>= 2.14.0), Biobase, multtest, distr, fBasics, methods
R (>= 2.15.0), maptools, reshape2, sp, spacetime, zoo
R (>= 2.10), splancs, KernSmooth, spatstat
R (>= 3.0.0), MASS, memisc, Formula, mnormt
R (>= 3.0.0), methods, pedigree, Rgraphviz(>= 2.6.0)
graphics, grDevices, utils, stats, R (>= 3.1)
R (>= 3.0.2), methods, grDevices, graphics, stats, utils, sp
(>= 1.0-15), xtable, polyCub (>= 0.4-3)
R (>= 3.1.1), parallel, parmigene, GenKern, igraph
lattice, MASS, methods, nnet, ggplot2, coefplot
R (>= 2.12.0), mvtnorm, sn, mclust, cluster
R (>= 3.1.0), FNN, igraph, parallel, scales
statnet.common (>= 3.2), ergm (>= 3.4), network (>= 1.12),
networkDynamic (>= 0.7.1)
grid, quadprog, maps, maptools, mapdata, dichromat
R (>= 2.10.0), e1071, hexbin, qualV, klaR, som
R (>= 2.15.1), graphics, utils, stats, methods
R (>= 2.10), graphics, grDevices, stats, methods, utils,
timeDate (>= 2150.95)
prettyGraphs (>= 2.1.4), TExPosition (>= 2.6.10), ExPosition
(>= 2.8.19), InPosition (>= 0.12.7)
R (>= 2.7.0), MASS, boot, tcltk, splines, lattice
R (>= 1.9.0), mvtnorm, utils, Matrix, stats4, gmm
R (>= 2.14.0), raster, bit, rgdal, methods
R (>= 2.14.0), tourr (>= 0.5.1), colorspace, RGtk2, gWidgets,
Cairo
R (>= 2.12.1), graphics, grDevices, methods, stats, utils
permute, mclust, graphics, grDevices, stats, utils
R (>= 2.8.1), TraMineR (>= 1.8-9), RColorBrewer, survival,
cluster
R (>= 3.0.0), utils, grDevices, graphics, stats
R (>= 2.15.0), grDevices, graphics, stats
ape, Matrix, subplex, TreeSim (>= 2.1), deSolve
ggplot2, scales, reshape2, ez, R (>= 3.0)
R(>= 2.10), stats, methods, truncreg, boot
R (>= 2.5.1),leaps, locfit, mgcv, tseries
methods, grDevices, graphics, stats, tools, MASS
sva, limma, matrixStats, corpcor, stats, MASS
R (>= 2.12.0), doParallel, foreach, numDeriv, quantreg
R (>= 2.10), gbm (>= 1.5-3), survey, xtable, lattice,
latticeExtra
R (>= 2.12.0), methods, reshape, lattice, Rcpp (>= 0.8.0)
R (>= 3.0.0), RItools, MASS, coin, tables, penalized
R (>= 2.10), maptools, sp, foreign, methods, grDevices, base,
stats, utils
R (>= 3.0.0), data.table (>= 1.9.4), laeken, stringr
R (>= 3.2.0), parallel, ggplot2, quantreg
R (>= 2.10), methods, fields, boot, CircStats, MASS, dtw
R (>= 3.0.0), methods, stats, stats4, splines
R (>= 2.15.2), zoo, RCurl, RJSONIO, stats, pracma, Rcpp (>=
0.10.3)
R (>= 2.13), tcltk, tkrplot,VIM (>=
4.0.0),survey,gWidgetsRGtk2
R (>= 2.14.0), stats, utils, gridBase, flip (>= 2.1),
matrixStats, Hmisc
R (>= 3.1.0), foreach(>= 1.2.0), parallel, doParallel
R(>= 3.0.1), stringdist, lattice, latticeExtra
R (>= 2.11.0), graphics, grDevices, stats, utils
R (>= 3.0), dynamicTreeCut (>= 1.62), fastcluster
geiger (>= 2.0), ape, scatterplot3d, utils, R (>= 3.0.0)
R (>= 2.10), gtools, gWidgets, gWidgetsRGtk2, coda,
cairoDevice
R (>= 3.0.2), splus2R (>= 1.2-0), ifultools (>= 2.0-0), MASS,
graphics, stats
R (>= 2.10), grDevices, stats, lattice, latticeExtra, clv
R (>= 2.10), sp, ncdf, reshape, abind, fields
R (>= 2.14.0),stats,utils,grDevices,datasets,x12 (>= 1.3.0)
R (>= 2.2.0), methods, lattice, grid, gam
R (>= 2.10), rgl, geometry, LeafAngle, gplots
R(>= 2.10.0), methods, zoo, stats4, utils, expm, cubature,
mvtnorm
R (>= 2.14), boot, MASS, methods, sandwich
R (>= 3.0.2), rjags, coda, matrixcalc, Formula
plyr, dplyr, ggplot2, Rsolnp, zoo, graphics
utils, stats, grDevices, MASS, igraph, ape, shiny, ggplot2,
seqinr, parallel, spdep, boot, reshape2, dplyr (>= 0.4.1)
ade4, grid, KernSmooth, lattice, methods, RColorBrewer, sp (>=
1.1-1)
stringr, coin, Matrix, pbkrtest (>= 0.3-6)
graphics, grDevices, grid, lattice, reshape2, stats
methods, stats, graphics, lattice, MASS, Matrix, nlme, stats4,
unmarked, VGAM, xtable
data.table, plyr, caret, seqinr, lattice, randomForest, ROCR,
reshape2, protiq
ggplot2, plyr, stringr, reshape, reshape2, httr, grid,
jsonlite, lubridate
graphics, stats, car, scatterplot3d, colorspace, fda, rgl,
splines, grDevices
mgcv, MASS, stats, graphics, grid, brglm, princurve, lattice
shapes, rgl, archetypes, nnls, depth, FNN, ICGE, cluster,
biclust
methods, MASS, evd, BB, numDeriv, ggplot2
rjson, plyr, assertthat, httr, leafletR (>= 0.1-1)
lubridate, classInt, reshape2, rgdal, plotKML, MASS, sp,
maptools, RColorBrewer
Rcpp (>= 0.11.1), methods, Matrix, stats, graphics
nlme, lattice, graphics, stats, tools, utils, parallel
genefilter, Biobase, seqinr, multtest, gtools, edgeR, DESeq,
aroma.light
data.table (>= 1.9.4), lubridate (>= 1.3.3), stringr (>=
0.6.2), plyr (>= 1.8.1), sirad, methods, utils
plyr, reshape, grid, lattice, cluster, sp, Hmisc, stringr,
scales, plotrix, RColorBrewer, MASS, digest
abind, coda, graphics, grDevices, methods, nlme, utils
methods, reshape, iterators, doParallel, foreach,
fitdistrplus, gridExtra
scatterplot3d, vcd, seriation, igraph (>= 1.0.0), graphics,
methods, utils, grDevices, stats
scatterplot3d, pixmap, tkrplot, plotrix, mvtnorm, deSolve,
lattice, multcompView
assertive.base, knitr, methods, stats, utils
Rcpp (>= 0.11.4), Amelia, jsonlite, parallel, stats, urca,
vars
jointDiag, clue, pcalg, igraph, matrixcalc, reshape2
DPpackage, igraph, mclust, pscl, tmvtnorm, network, coda
graphics, SparseM, grDevices, stats, methods
checkmate (>= 1.5), BBmisc (>= 1.8), DBI, RSQLite (>= 1.0.0),
plyr
brew, checkmate (>= 1.5.1), DBI, digest, fail (>= 1.2),
parallel, RSQLite (>= 1.0.0), sendmailR, stats, stringr, utils
runjags (>= 2.0.1), rjags, coda, stats, utils
mvtnorm, Rlab, truncdist, mnormt, rootSolve
pbapply, mvtnorm, stringr, utils, graphics, gtools,
MatrixModels, Rcpp (>= 0.11.2)
graphics, stats, methods, rjags (>= 2.1.0), coda (>= 0.13)
parallel, abind, plyr, wpp2012, graphics, grDevices, stats,
utils, rworldmap, fields, googleVis
mvtnorm, MASS, coda, wpp2012, graphics, grDevices, stats,
utils
sp, maptools, colorspace (>= 0.97), coda, splines
Rcpp (>= 0.10.3), MASS, mnormt, fitdistrplus, denstrip
DEoptim, wmtsa, grid, ggplot2, reshape2, shiny, methods
RcmdrMisc (>= 1.0-1), Rcmdr (>= 2.1-0), car (>= 2.0-21),
rpart, flexclust, clv
hdrcde, utils, MASS, ellipse, coda, mclust
maps, plotrix, sqldf, plyr, taxize, treemap, ggplot2, grid
plm, Formula, MASS, Hmisc, deSolve, pracma, caTools,
matrixStats
knitr, markdown, jsonlite, xtable, plyr, reshape2
graphics, methods, stats, flexmix, Formula, lmtest,
modeltools, sandwich
graphics, stats, strucchange, zoo, forecast, sp, raster
stats, graphics, utils, methods, grDevices, Rcpp, miceadds,
mitools, TAM
parallel, methods, bigmemory.sri, BH, irlba
httr, jsonlite, assertthat, R6 (>= 2.0.0), dplyr (>= 0.3.0)
optimx, FD, parallel, xtable, plotrix, gdata
abind, rasterVis, pROC, nnet, gbm, mda, randomForest, rpart,
MASS, methods
rgl, tkrplot, tcltk, tcltk2, shapes, cluster, dendroextras,
MASS
geosphere, ks, lazyData, raster, rgdal, rgeos, rworldmap,
rworldxtra, sp
RUnit (>= 0.4.22), timeSeries, fBasics, fMultivar, fPortfolio
(>= 3011.81)
XML, httr, stringr, assertthat, jsonlite, reshape, plyr
stats, optimx (>= 2013.8.6), numDeriv, lattice, rgenoud,
parallel, mvtnorm, rlecuyer
IsingFit, qgraph, dplyr (>= 0.3.0.2), gtools, corpcor
R2jags, mvtnorm, fishMod, MASS, stats, graphics, grDevices
httr, httpuv, assertthat, stringr, dplyr, digest, jsonlite
devtools, extrafont, gridGraphics, gridSVG, moments, nortest,
rmarkdown, xtable
ggplot2, MASS, msm, foreach, doParallel, parallel
methods, stats, grDevices, abind, reshape2, parallel (>=
3.1.3), ggmcmc (>= 0.6), gridExtra (>= 0.9.1)
utils, graphics, grDevices, stats, assertthat, RPushbullet,
jsonlite, ggplot2, grid
coda, splines, actuar, rjags, R2OpenBUGS, ggplot2, plyr
mda, ncvreg, mboost, gbm, earth, elasticnet, rms
glmnet, survival, parallel, mlegp, tgp, peperr, penalizedSVM,
lattice
corpcor, evd, qpcR, Matrix, igraph, fdrtool, shape
deSolve, FME, survey, ggplot2, reshape2, shiny, grid, rgdal,
maptools, sp
MASS, mgcv, nnet, pbkrtest (>= 0.3-2), quantreg
CARBayesdata, coda, sp, spam, spdep, stats, truncdist, utils
car, reshape2, foreach, methods, plyr, nlme, BradleyTerry2,
stats, stats4, utils, grDevices
caTools, pbapply, ggplot2, digest, plyr, grid, lattice,
gridExtra
e1071, mice, rasterVis, hypervolume, FD, geometry, vegan
XML, R.utils, rjson, RMySQL, RCurl, stringr, yaml, boot,
foreach, data.table, glmnet, ggplot2
tcltk, rjags, psych, mvtnorm, polycor, MASS, methods
Rcpp, statmod, randtoolbox, reshape2, plyr
stats, graphics, utils, Rcpp, psych, MASS, polycor, sfsmisc,
plyr, lattice, grDevices, methods
MASS, limSolve, clue, colorspace, copula
VGAM (>= 0.9-3), methods, grid, MASS, lattice, survival,
multcomp, nlme
Matrix, actuar, methods, stats, reshape2, lattice, grid,
tweedie, utils, systemfit, statmod
class, e1071, MASS, nnet, pcaPP, robustbase, som, lars, pls,
mclust
lmtest, MASS, outliers, ptw, quantreg, Rfit, robustbase,
shiny, signal
scales, Hmisc, stringr, ggplot2, dplyr, R6, acs, WDI
mvtnorm, msm, methods, Rcpp (>= 0.11.0), igraph, numDeriv,
pbivnorm, MASS
GlobalOptions (>= 0.0.6), shape, grDevices, utils, stats
Rcpp (>= 0.9.10), plyr, ggplot2, lattice, methods, R2jags,
reshape2
utils, methods, grid, ggplot2, sp, raster, reshape2, plyr,
scales
plyr, Rsolnp, data.table, arules, linprog
methods, lubridate, XML, selectr, RCurl, utils, ggplot2,
scales, RColorBrewer, reshape2
MASS, nlme, methods, isotone, stringr, prettyR, stats,
openxlsx, graphics
tmvtnorm, mvtnorm, truncnorm, MASS, mclust, msm
rgl, tkrplot, tcltk, tcltk2, shapes, plotrix, MASS
SparseM (>= 1.6), quantreg (>= 4.65), grDevices,graphics,stats
igraph, Matrix, lattice, gdata, XML, cluster, clusterSim
ape (>= 3.1-4), ggplot2 (>= 1.0.0), gridExtra, phangorn,
reshape
Hmisc, MASS, GPArotation, lpSolve, nonparaeff
robustbase, ggplot2, boot, parallel, scales
stats, graphics, ellipse, fields, geoR, MASS, plotrix,
StatMatch
stats, graphics, methods, stats4, Matrix, lattice, gsl,
ADGofTest, stabledist (>= 0.6-4), mvtnorm, pspline
copula, vines (>= 1.1.0), mvtnorm, truncnorm
expm, numDeriv, corpcor, phangorn, parallel
boot, combinat, geepack, dirmult, mvtnorm
ggplot2, ggthemes, arm, COUNT, gridExtra, pcaPP, mvtnorm,
shiny
jsonlite, rex, devtools, httr, crayon, htmltools
grid (>= 3.0.0), gtable (>= 0.1.2), plyr (>= 1.8.2),
grDevices, methods, utils
biglm, ggplot2, minqa, nlme, reshape2, statmod, stats, stats4,
tweedie
MASS, crossdes (>= 1.1-1), xtable, methods, Matrix, multcomp,
stats4, digest
httr (>= 0.4), jsonlite (>= 0.9.15), methods, RCurl
expm, graphics, grDevices, manipulate, MASS, Matrix, methods,
numDeriv, raster, rgdal, sp, stats, utils
gRbase, lazy, RBGL, MASS, corpcor, methods, Rgraphviz, foreach
scales (>= 0.2.5), htmlwidgets, png, base64enc, dendextend (>=
0.18.0), stats, grDevices
Rcpp, beanplot, stats, parallel, graphics, grDevices
lattice, FrF2, BsMD, graphics, grDevices, stats
lattice, sm, MASS, nnet, splines, pscl, gdata, xtable
RJSONIO, XML, RCurl, base64, gsubfn, methods, markdown
XML, RCurl, reshape2, lubridate, plyr, stats, utils
DBI, rjson (>= 0.2.14), RSQLite (>= 1.0.0), stringr
ggplot2, KFAS, plyr, reshape2, tableplot, methods
rJava, e1071, scales, plyr, foreign, multcomp, effects
R.utils, affxparser, affy, oligo, plyr, methods, devtools
utils, stats, magrittr (>= 1.0.1), whisker
reshape2, ggplot2 (>= 0.9.1), plyr, scales, grid, GGally
httr (>= 0.4), RCurl, utils, tools, methods, memoise, whisker,
evaluate, digest, rstudioapi (>= 0.2.0), jsonlite, roxygen2 (>=
4.1.0), rversions, stats, git2r
htmlwidgets (>= 0.3.2), rstudioapi (>= 0.2), stringr (>=
1.0.0)
functional, Matrix, matrixcalc, mvtnorm, numDeriv, caret, mgcv
utils, shiny, httr (>= 1.0.0), digest, jsonlite, stringr, R6
(>= 2.0)
distr(>= 2.2.0), distrEx(>= 2.2.0), distrSim(>= 2.2.0),
distrTEst(>= 2.2.0), distrTeach(>= 2.2.0), RandVar(>= 0.7),
distrMod(>= 2.2.0), MASS, methods, SweaveListingUtils,
startupmsg
stats, graphics, grDevices, utils, splines, nlme
stats, utils, graphics, vcd, combinat, MASS
binom, chipPCR, e1071, dgof, multcomp, qpcR, pracma,
rateratio.test, signal, shiny, spatstat
assertthat, utils, R6, Rcpp, magrittr, lazyeval (>= 0.1.10),
DBI (>= 0.3)
car, clinfun, mgcv, multcomp, pgirmess, DTK, segmented,
mvtnorm
htmltools, htmlwidgets (>= 0.4), magrittr
methods, parallel, oro.nifti (>= 0.3.9), oro.dicom, gsl,
quadprog
survival, ggplot2, grid, gridExtra, aod, proto
ggplot2, reshape2, grid, shiny, KernSmooth, markdown
shape, fields, rgeos, maptools, rgdal, sp, spam, hydroGOF,
topmodel, intervals, tools
ggplot2, grid, gridExtra (>= 2.0.0), MASS
methods, reshape, plyr, nleqslv, ggplot2, grid
graphics, grDevices, class, stats, methods, utils
fields, nortest, quadprog, Kendall, KernSmooth, lmtest, som,
spam, stats
MASS, stringr, rjags, coda, foreach, doParallel,random,
parallel
fda, gdata, RCurl, XML, tis, jpeg, MASS, TeachingDemos,
stringi
httr (>= 0.3), plyr, assertthat, whisker, dplyr (>= 0.2),
jsonlite, lubridate, leafletR (>= 0.1-1)
ggplot2, party, raster, reshape2, rgdal, rkt, SoDA, sp,
adehabitatHR, adehabitatMA, biomod2, dismo, ecodist, maptools,
randomForest, spatstat, raster, rms
GenomicRanges, IRanges, data.table, mixtools, S4Vectors
stringr, maptools, grid, arm, data.table, memisc
shiny (>= 0.11), foreign, ggplot2, nnet, survey,
lavaan.survey, car
grid, ggplot2, tseries, MASS, urca, parallel, fArma
dataRetrieval (>= 2.0.1), survival, fields, lubridate,
methods, utils, graphics, stats, grDevices
siggenes, affy, multtest, survival, xtable, gcrma,
heatmap.plus, biomaRt, GSA, MASS, FactoMineR, cluster,
AnnotationDbi
sp, methods, RColorBrewer, mnormt, maptools
data.table, ggplot2, graphics, grDevices, lazyeval, magrittr,
methods, stats, tidyr, utils
methods, utils, httr (>= 1.0.0), jsonlite, plyr
graphics, grDevices, stats, utils, doParallel, ergm (>=
3.2.4), foreach, network (>= 1.12.0), RColorBrewer
robustbase (>= 0.9-10), coda, trust, Matrix, lpSolve, parallel
graphics, stats, methods, MASS, splines, Matrix, lattice
Rcpp (>= 0.11), reshape2, ggplot2, magrittr, tidyr, vegan,
ape, phytools, mvtnorm
Biostrings, IRanges, Rsamtools, GenomicRanges (>= 1.16.0),
aod, VGAM (>= 0.8.4), methods, GenomicAlignments
gWidgets, gWidgetstcltk, utils, stats, graphics
foreach, ggplot2, parallel, digest, plyr, reshape, Jmisc
fMultivar, robustbase, MASS, sn, ecodist, mvnormtest, energy
base64enc, grDevices, stats, utils, Cairo
rgeos, data.table, devtools, soilDB, igraph, RCurl, methods
grid, RColorBrewer , gdata, ggplot2, reshape2, gplots
Rcpp (>= 0.11.6), MASS, graphics, grDevices, stats
grid, methods, modeltools (>= 0.2-16), nnet, stats, stats4
tseries, fracdiff, Rcpp (>= 0.11.0), nnet, colorspace,
parallel
MASS, cluster, mclust, flexmix, prabclus, class, diptest,
mvtnorm, robustbase, kernlab, trimcluster
fCopulae, robustbase, MASS, Rglpk, slam, Rsymphony, Rsolnp,
kernlab, quadprog, rneos
sapa(>= 2.0-0), wmtsa (>= 2.0-0), scatterplot3d
plyr, dplyr (>= 0.3), data.table, biglm, fastcluster,
FactoMineR, stats
sfsmisc(>= 1.0-26), BsMD, utils, scatterplot3d, igraph(>= 0.7)
plyr, reshape2, ggplot2, grid, scales, foreign, tcltk, tcltk2,
gridExtra
lambda.r (>= 1.1.6), lambda.tools, futile.logger (>= 1.3.0),
RMTstat
shiny, xlsx, rJava, xlsxjars, reshape2, ggplot2
car, mgcv, DAAG, MASS, rpart, randomForest, lattice,
latticeExtra, ape, KernSmooth
cubature, hypergeo, laeken, numDeriv, stats, survey
betareg, car, Formula, geoR, lmtest, nlme, sandwich, sp
Rcpp (>= 0.11.2), methods, RcppProgress(>= 0.1), parallel
oro.nifti, movMF, grid, gridExtra, colorspace, geometry, gsl,
abind
MASS, mvtnorm, subplex, deSolve (>= 1.7), digest, Rcpp (>=
0.9.0), coda
MASS, methods, msm, plyr, graphics, stats, utils, data.table
stringr, httr, tm, data.table, magrittr, parallel, utils
kinship2, methods, bootstrap, Matrix, lattice, quadprog,
foreach, parallel, doParallel
splines, methods, utils, grDevices, graphics, stats
methods, sp, rgdal, rgeos, httr, maptools, jsonlite, magrittr,
V8
MASS, sp, splancs, RandomFields, graphics
constrainedKriging(>= 0.2-1), lmtest, nlme, nleqslv, quantreg,
RandomFields(>= 3.0.10), robustbase(>= 0.90-2), snowfall(>=
1.84-6)
limSolve, fields, gsl, plyr, TeachingDemos, sgeostat
KernSmooth, rgeos, robustbase, splancs, stats, tcltk
rjson, methods, GlobalOptions (>= 0.0.6)
rgdal, geosphere, RCurl, rgeos, plyr, ggplot2, grid, sp,
stringr, animation, rasterVis
proto, scales, RgoogleMaps, png, plyr, reshape2, grid, rjson,
mapproj, jpeg, geosphere, digest
plyr (>= 1.7.1), digest, grid, gtable (>= 0.1.1), reshape2,
scales (>= 0.2.3), proto, MASS
randomForestSRC (>= 1.5.5), ggplot2, survival, parallel,
reshape2
ggplot2, plyr, proto, grid, scales, stringr
plyr, gtable, scales, reshape2, proto, MASS, sp, grid
colorspace, grid, proto, scales, methods
assertthat, jsonlite (>= 0.9.11), shiny (>= 0.11.1), magrittr,
dplyr (>= 0.4.0), lazyeval, htmltools (>= 0.2.4)
utils, methods, stats, jsonlite, httr, magrittr, assertthat,
knitr, rmarkdown, dplyr
jpeg, tiff, logging, parallel, PET, ggplot2, EBImage
httr, base64enc, magrittr, jsonlite, mime
MASS, PolynomF, multcomp (>= 1.1), mvtnorm, Matrix,
CommonJavaJars (>= 1.0.5), stats4
grid, lattice, Hmisc, forestplot, abind, methods, knitr,
magrittr
MASS, stats, graphics, Matrix, nnet, qvcalc (>= 0.8-3), relimp
cellranger (>= 1.0.0), dplyr (>= 0.4.0), ggplot2, httr (>=
0.6.1), plyr, stats, stringr, tidyr, utils, XML, xml2
quadprog, mvtnorm, MASS, Matrix, parallel
grid, barcode, lattice, vcd, MASS, colorspace
stats, grDevices, graphics, Rcpp (>= 0.11.1), rgenoud,
pbivnorm, pso, randtoolbox, KrigInv, MASS
gtools, gdata, stats, caTools, KernSmooth
numDeriv, Rcpp (>= 0.11.2), graphics, grDevices, methods,
stats, utils
gWidgets, RGtk2, gWidgetsRGtk2, MASS, cluster, rgl, GUniFrac,
ape
RColorBrewer, plyr, gridExtra (>= 0.9.1), reshape2, grid
Rcpp (>= 0.11.3), Matrix, glasso, glmnet, mvtnorm, qgraph (>=
1.3.1)
Matrix, RBGL, igraph, graph, Rcpp (>= 0.11.1)
rms (>= 4.3-1), lattice, latticeExtra, ggplot2, Formula,
survival
gtable, grid, grDevices, graphics, utils
methods,igraph, ape, glpkAPI , quadprog, cluster, stats
methods, sp (>= 1.0-8), RSAGA, dismo, rgdal, raster, aqp,
plotKML, gstat, stats, plyr, grDevices, graphics
methods, lattice, sp (>= 0.9-72), zoo, spacetime (>= 1.0-0),
FNN
parallel, tools, mgcv, MASS, SuppDists, snow
lattice, grid, graphics, grDevices, stats, utils
reshape2, leaps, vcd, colorspace, RColorBrewer, shiny, Hmisc,
abind, Rmpfr
mnormt, partitions, maxLik, mnormpow, VGAM
truncnorm, mvtnorm, Matrix, coda, xtable, mc2d, ggplot2, rgeos
foreach, DMwR, plyr, proxy, FNN, ggplot2
graphics, class, FactoMineR, ggplot2, grid, histogram,
grDevices, stats, utils
grid, plyr, jpeg, png, RColorBrewer, utils, stats
ggplot2 (>= 0.9.2), stats, plyr, reshape2, MASS, Matrix,
RLRsim, mgcv
proto, scales, latticeExtra, cluster, rpart, nnet, acepack,
foreign, gtable, gridExtra
graphics, statmod, stats, survival, utils
graphics, stats, rgl, ape, scatterplot3d, grDevices
stringr, knitr (>= 1.6), magrittr (>= 1.5), methods
htmltools (>= 0.2.6), jsonlite (>= 0.9.16), yaml
digest, jsonlite, mime, curl (>= 0.6), R6, stringr (>= 0.6.1)
randomForest, kernelFactory, ada, rpart, ROCR, nnet, e1071,
NMOF, GenSA, Rmalschains, pso, AUC, soma, genalg, reportr,
nnls, quadprog, tabuSearch, rotationForest, FNN, glmnet
broom (>= 0.3.7), DiagrammeR (>= 0.7), plyr, dplyr, graph,
gRbase, magrittr, stats, stringr, utils
Hmisc, sp, lattice, zoo(>= 1.7-2), grid, lhs
MASS, geometry, ks, fastcluster, compiler
methods, zoo, lubridate, climdex.pcic (>= 1.1-1), PCICt
caret, reshape2, glmnet, pls, rda, Cubist, ridge, gbm, mboost,
rpart,
gstat (>= 0.9-36), automap, mvtnorm, MASS, evd
shiny, knitcitations, RCurl, mvtnorm, knitr
graphics, grDevices, MASS, stats, tcltk, tkrplot, tools, utils
foreign, ggplot2, Hmisc, memisc, plyr, reshape
rpart (>= 3.1-8), MASS, survival, nnet, class, prodlim
methods, pracma, RCurl, seismicRoll (>= 1.0.1), signal,
stringr, XML
shiny, shinyAce, beeswarm, CTT, ltm, parallel,
xtable, Biobase, affy, ff(>= 2.0.0), tcltk
rjags (>= 3-3), coda (>= 0.13), parallel, methods
foreach, parallel, gplots, colorspace, plotrix
lattice, cubature, locfit, Rcpp (>= 0.11.2), VineCopula (>=
1.5), graphics, grDevices, stats, utils
circular, lqmm, splancs, sp, plotrix, MASS
igraph (>= 0.6), Matrix, stats, graphics
Rcpp (>= 0.10.5), data.table, lattice, grid, knitr, markdown
RefManageR (>= 0.8.2), digest, httr (>= 0.3), methods
evaluate (>= 0.6), digest, formatR, highr, markdown, stringr
(>= 0.6), yaml (>= 2.1.5), tools
plyr, reshape, ggplot2, MASS, emdbook, coda
sna, mvtnorm, abind, coda (>= 0.17.1), tools
stats4, stats, graphics, MASS, mnormt, pbivnorm, quadprog
base64enc, htmlwidgets, htmltools, magrittr, markdown, png,
RColorBrewer, raster, scales (>= 0.2.5), sp
ape, picante, geiger, fBasics, SDMTools, vegan
graphics, grDevices, stats, utils, car, leaps, MBESS, foreign,
sas7bdat, readxl, triangle
XML, geosphere, fields, maptools, sp, rgdal
Rcpp (>= 0.11.0), foreach, forecast (>= 5.5), plyr, tseries,
e1071, zoo, utils
spatstat (>= 1.40-0), sp, raster, tcltk, RandomFields,
iterators, ncdf, methods, rpanel (>= 1.1-3), fields, maptools,
Matrix, rgeos
RColorBrewer, mvtnorm, zoo, FNN, fields, locfit, Matrix
parallel, utils, markovchain, Rcpp, stats
qtl (>= 1.20-15), class, graphics, grDevices, utils, stats,
parallel
plyr, harvestr, stringr, dostats, foreach
rex, crayon, codetools, stringdist, testthat, digest, igraph
graphics, grid, splines, utils, parallel, MASS, nlme, lattice,
minqa (>= 1.1.15), nloptr
Matrix, lme4, LCFdata, rgl, fields, mgcv, parallel
stats, methods, nlme, lmeSplines, parallel, reshape2, gdata,
gplots, gridExtra
psych, gvlma, AICcmodavg, lme4, pbkrtest
MASS, grid, png, RgoogleMaps, RColorBrewer
rms, stats, statmod, graphics, speedglm, RColorBrewer,
data.table, pROC, aod
graphics, matrixStats (>= 0.14.1), parallel, stats
gdata, shapes, e1071, pcaMethods, MASS, miscTools
stats, graphics, grDevices, fracdiff, MASS
plyr, clue, grid, gridExtra, reshape2, Rcpp
graphics, stats, utils, nlme, coda (>= 0.17), multcomp, plyr,
mvtnorm
methods, XML, shape, rgl, matrixStats, raster, zoo, bbmle,
data.table (>= 1.9.4), Rcpp (>= 0.11.4), parallel, minpack.lm
base64enc, digest, downloader, readBrukerFlexData (>= 1.7),
readMzXmlData (>= 2.7), XML
MergeMaid, GeneMeta, xtable, methods, metaArray
methods, grDevices, stats, utils, graphics
RColorBrewer, Hmisc, classInt, sp, colorspace, reshape2
foreign (>= 0.8), methods, grid, lattice, stats
graphics, grDevices, methods, stats, tcltk, tkrplot, tools,
utils
R2admb, truncnorm, coda, ggplot2, Matrix, numDeriv, Rcpp (>=
0.9.13), plyr, optimx (>= 2013.8.6), expm
igraph, Matrix, matlab, expm, stats4, parallel, Rcpp (>=
0.11.5), RcppParallel, utils, MultinomialCI, stats
DBI, RSQLite, gdistance, geosphere, sp, raster, ncdf, plotrix,
shape, reshape2, adehabitatMA, ggplot2
nlme, mvtnorm, KFAS (>= 1.0.1), stats, utils, graphics
Rcpp (>= 0.11.2), lpSolve (>= 5.6.6), partitions, stats
dfoptim, mvtnorm, seriation, igraph, gplots, cba
methods, graphics, grid, stats, utils, lattice
assertive, matrixcalc, lavaan, psych, MASS
shiny, shinyAce, metafor, MAc, MAd, quantreg, ggplot2,
compute.es, SCMA, SCRT, shinyBS
exactRankTests(>= 0.8-23), mvtnorm(>= 0.5-10), stats, graphics
dplyr, rgdal, rgeos, rvest, sp, stringr, utils
Matrix, survival, splines, lattice, nnls, quadprog, utils
doParallel, doRNG, foreach, MASS, mvtnorm, ReporteRs, stats,
survival, utils
lpSolve, Hmisc, lme4 (>= 1.0), stats, graphics, grDevices,
utils
Rcpp (>= 0.11.2), plyr, colorspace, MASS
MASS, lhs, plyr, BBmisc, ParamHelpers, BatchJobs,
BatchExperiments, ggplot2, metafor
Biobase, e1071, fgui, grDevices, graphics, googleVis,
maptools, rgeos, spgrass6, raster
data.table (>= 1.9.2), Matrix, gtools, Rmpi, ggplot2
boot, methods, numDeriv, lme4, MASS, graphics, stats
sp, spacetime, rgdal, gstat, raster, snowfall, plyr
numDeriv, compiler, Rcpp, splines, survival
methods, stats, graphics, utils, Rcpp, TAM, lme4, inline, car,
foreign, sjmisc, multiwayvcov, grouped, MBESS, bayesm, sirt,
pls, mitools, MASS, mvtnorm
stats, systemfit (>= 1.1-12), miscTools (>= 0.6-0)
miscTools (>= 0.6-1), systemfit (>= 1.0-0), MASS
MASS, numDeriv, Matrix, forecast, stats, graphics, utils
GPArotation, Rcpp, sfsmisc, mgcv, numDeriv
parallel, data.table, gridExtra, Rcpp (>= 0.11.1), xtable
DiceKriging, e1071, kernlab, Matrix, mvtnorm, rgenoud
pan, haven, grDevices, graphics, stats, utils
graphics, stats, splines, fastGHQuad, mnormt, parallel, coda
Bessel,stats, mvtnorm, ghyp, numDeriv, mixture, e1071
stats, graphics, grDevices, RColorBrewer, robustbase
shiny (>= 0.11), XML, circlize, graphics, grDevices
stats, grDevices, class, nnet, MASS, e1071, randomForest,
ipred
checkmate (>= 1.5.3), ggvis, parallelMap (>= 1.3), plyr,
reshape2, shiny, survival
datasets, grDevices, graphics, stats, utils
methods, ade4, sp, shapes, jpeg, spdep, ape
ape, cluster, circular, geomorph, gplots, phytools, rgl
Rvcg (>= 0.7), rgl (>= 0.93.963), foreach (>= 1.4.0), Matrix
(>= 1.0-1), parallel, yaImpute, doParallel (>= 1.0.6),
colorRamps, Rcpp
lazyeval, MASS, grid, reshape2, plyr, readr, methods, utils,
splines, latticeExtra, gridExtra, ggdendro
leaps, foreach, parallel, bestglm, doParallel, plyr,
shinydashboard, shiny, googleVis
boot, plyr, gsubfn, coda, xtable, lattice, texreg
rSymPy, rJython, rJava, rjson, partitions, plyr, stats
numDeriv, Brobdingnag, Rcpp, stats, utils
optimx (>= 2013.8.6), mgcv, numDeriv, Rsolnp
AnnotationDbi, gplots, XLConnect, wordcloud, RColorBrewer
KernSmooth, xtable, coda, bit, mvtnorm, lattice
rgl, tkrplot, tcltk, tcltk2, shapes, cluster, dendroextras,
Matrix
PSAgraphics, plyr, psych, reshape, proto, grid, party
parallel, Matrix, coda, statmod, RMark, Brobdingnag, mvtnorm,
graphics, methods, stats, utils
utils, emulator (>= 1.2-13), mvtnorm, methods
graphics, methods, stats, stats4, Matrix
plotrix, multtest (>= 2.2.0), multcomp (>= 1.1-0), methods
Rcpp, MASS, methods, stats, tweedie, statmod
methods, nortest, moments, MASS, robustbase, mvoutlier, plyr,
psych
gbm, RColorBrewer, stats, graphics, grDevices, utils,
methods, stats, utils, survival, VGAM, MASS, TunePareto, ROCR,
Hmisc, graphics
nabor, igraph, methods, filehash, digest, nat.utils (>=
0.4.2), plyr, yaml
yaml, gplots, quantreg, Benchmarking, sfa
scales, gtable, knitr, xtable, reshape2, testthat
RNetCDF, chron, parallel, abind, plotrix, raster,
RColorBrewer, JBTools
AnnotationDbi, Matrix, ROCR, graph, igraph, samr
ggplot2, lpSolve, igraph (>= 0.7.1), stringr (>= 0.6.2)
parallel, rootSolve, dtw, WGCNA, minet, Matrix, minerva,
combinat, igraph
functional, ggplot2, plyr, reshape2, stringr
ggplot2, neuralnet, nnet, reshape2, RSNNS, scales
Matrix, yaImpute, Rcpp, stringr, hash, iterators, abind,
assertthat, stats, grDevices
httr, RCurl, plyr, rjson, stringr, reshape2, ggplot2, scales
NLP (>= 0.1-6.3), SnowballC, qdap, utils
graphics, stats, stringr (>= 1.0.0), digest, grid, grDevices,
gridBase, colorspace, RColorBrewer, foreach, doParallel,
ggplot2, reshape2
Benchmarking, np, quadprog, Rglpk, splines
agricolae, ash, binom, BSDA, coin, epitools, fANCOVA, gtools,
Hmisc, km.ci, metafor, nortest, np, quantreg, Rfit, SemiPar,
SuppDists, waveslim
methods, rjson, RCurl, reshape2, triangle, httpRequest,
digest, xtable, ggplot2, rgdal, sp, plyr
mvtnorm, orthopolynom, nlme, crossdes, polynom
grid, plyr, reshape2, mgcv, lattice, latticeExtra, cluster,
RColorBrewer, mapproj, hexbin, mapdata, RgoogleMaps, Rcpp,
grDevices, graphics, methods, stats, utils
parallel, tools, stats, evaluate (>= 0.5.1), httpuv (>= 1.3),
knitr (>= 1.6), jsonlite (>= 0.9.14), devtools (>= 1.6.1), httr
(>= 0.3), brew, openssl
methods, grid, colorspace, plyr, stringr, abind, rgl,
GPArotation, psych, XML, tcltk
plyr, maptools, openair, raster, rgdal, reshape, doParallel,
parallel, foreach, sp
methods, Rcpp (>= 0.11.1), grDevices, stats, utils
MASS, randomForest, e1071,ipred, msm, Matrix
clValid, RankAggreg, mclust, methods, cluster, gplots,
kohonen, MBCluster.Seq
numDeriv, ucminf, BB, Rcgmin, Rvmmin, minqa, setRNG, dfoptim,
svUnit
data.table, ggplot2, AUC, grid, knitr, plyr, scales, stringr,
XML
bitops, splines, graphics, grDevices, methods, utils, abind
grDevices, methods, oro.dicom (>= 0.3.7), oro.nifti (>=
0.3.9), utils
utils, RColorBrewer, ape, reshape2, sna, plyr, ggmap, scales,
rjson, networkDynamic, RCurl
quantreg, MatrixModels, outliers, pcaPP, methods, graphics
numDeriv, corpcor, lattice, grDevices, phytools, phangorn
locfit, raster, ggplot2, plyr, rgdal, lattice
BBmisc (>= 1.8), checkmate (>= 1.5.1), parallel
slam, Rglpk, quadprog, FRAPO, corpcor, parallel, stats,
utils,truncnorm
Rcpp (>= 0.11.2), zoo, parallel, ggplot2, grid, MASS, tseries,
data.table, FKF, urca, plot3D
bitops, tools, methods, S4Vectors, IRanges, GenomicRanges,
ShortRead, Rsamtools, Biostrings, gtools
stats, graphics, utils, methods, abind, graph, RBGL, igraph,
ggm, corpcor, robustbase, vcd, Rcpp, bdsmatrix, sfsmisc (>=
1.0-26), fastICA, clue, gmp
Rcpp, combinat, stats, graphics, grDevices, utils, methods
httr, zoo, xts, XML, lubridate, jsonlite, reshape2
stats, graphics, fda, Hmisc, irtoys, MASS, Matrix
data.table (>= 1.9.3), igraph, stringdist (>= 0.5), stringi,
methods, utils, stats
quadprog, igraph (>= 0.6), Matrix, parallel, nnls, methods,
utils, stats, graphics, grDevices
Biobase, piano, magicaxis, RColorBrewer, parallel, caTools,
methods, downloader, stats, utils, graphics, grDevices
grid, RColorBrewer, scales, gtable, stats, grDevices, graphics
ade4, ape (>= 3.0), Rcpp (>= 0.11.0), rncl (>= 0.6.0), grid,
methods, stats, RNeXML
ape, geiger, phytools, abind, phylolm, GPfit, dtw
animation, clusterGeneration, graphics, grDevices, methods,
mnormt, msm, numDeriv, phangorn (>= 1.6-3), plotrix,
scatterplot3d, stats, utils
Matrix (>= 1.0-0), numDeriv, limSolve (>= 1.5.2), rgl,
scatterplot3d, qvalue, Iso(>= 0.0-5), quadprog (>= 1.5-3),
kernlab, LowRankQP, graphics, grDevices, methods, stats
XML2R (>= 0.0.6), plyr, MASS, hexbin, mgcv
methods, tools, codetools, digest, stringr, xtable, grDevices
RGtk2 (>= 2.20.1), gWidgets (>= 0.0-30), gridBase, grDevices,
graphics, stats, utils
methods, tools, utils, XML, sp, raster, rgdal, spacetime,
colorspace, plotrix, dismo, aqp, pixmap, plyr, stringr,
colorRamps, scales, gstat, zoo, RColorBrewer, RSAGA, classInt
mvtnorm, boot, Formula, plsdof, MASS, betareg, plsRglm
survival, plsRglm, lars, pls, kernlab, mixOmics, risksetROC,
survcomp, survAUC, rms
utils, methods, objectSignals (>= 0.10.2)
dplyr, geiger, ggplot2, parallel, ouch, tidyr
BayesLogit, ggplot2, logistf, plyr, stats, utils, grDevices
foreach, Formula, glmnet (>= 1.9-5), iterators, Matrix, ncvreg
(>= 2.4-0), Rcpp (>= 0.11.0), stringr
stats, graphics, mvtnorm, deSolve, coda, subplex, nloptr
lattice, RgoogleMaps, gap, calibrate, xtable, plyr, dismo,
reshape, ggplot2, R.utils, ade4, pegas, genetics, rgdal,
gdistance, vegan, sp, mmod, GGally, data.table, graphics,
grDevices, methods, stats, utils
DBI, igraph, lazyeval, RSQLite (>= 1.0.0)
stats, graphics, grDevices, utils, vegan, ggplot2, phangorn,
ape (>= 3.1-1), igraph, methods, ade4, pegas, reshape2, dplyr
(>= 0.4), boot, shiny
mvtnorm, stats, utils, graphics, grDevices
AnnotationDbi, igraph, e1071, GOSemSim, GO.db, stats, utils
GenKern, fields, grid, gstat, foreign, maptools
dplyr, multtest, ggplot2, permute, randomForest, reshape2,
magrittr
ggplot2, grid, XML, ape, httr, lubridate, plyr, scales,
stringr, foreach
stringr, codetools, methods, Rcpp (>= 0.11.0)
Rcpp (>= 0.11.5), RColorBrewer, signal, zoo
graphics, methods, stats, lattice, Formula (>= 1.1-0),
modeltools
XML, stringr, RCurl, wordcloud, tm, RColorBrewer
data.table, plyr, stringr, RJSONIO, httr
chron, dplyr (>= 0.3), gdata, gender (>= 0.4.3), ggplot2 (>=
0.9.3.1), grid, gridExtra, igraph, methods, NLP, openNLP (>=
0.2-1), parallel, plotrix, RCurl, reports, reshape2, scales,
stringdist, tidyr, tm (>= 0.6.2), tools, venneuler, wordcloud,
xlsx, XML
chron, data.table (>= 1.9.4), RCurl, XML
psych, ellipse, lavaan, sem, plyr, Hmisc, igraph, jpeg, png,
colorspace, Matrix, sna, corpcor, reshape2, ggplot2, glasso,
huge, fdrtool, d3Network, ggm, gtools
lattice, latticeExtra, graphics, grDevices, stats
methods, psych, GPArotation, tools, digest, knitr, xtable
matrixcalc, mvtnorm, ghyp, quantreg, psych, tcltk
matrixcalc, mvtnorm, ghyp, quantreg, psych, tcltk, ald
reshape2, methods, scales, grid, parallel
methods, utils, stats, Matrix (>= 1.1), data.table (>= 1.9.3),
SnowballC, wordcloud, proxy, parallel, Rcpp, ca, stringi
methods, graphics, quantreg, abind, zoo, snowfall, Rcpp (>=
0.11.0)
shiny (>= 0.11), highr, classInt, htmltools
abind, coda (>= 0.13), methods, R2WinBUGS, parallel
grDevices, lattice, lme4, cairoDevice, gWidgets,
gWidgetsRGtk2, RGtk2Extras, MASS, utils, latticeExtra, statmod
coda, corpcor, gplots, gtools, maps, pso, RCurl, tcltk
igraph, stats, expm, reshape, ggplot2, Hmisc, fdrtool,
snowfall
plyr, RCurl, reshape2, png, ggplot2 (>= 0.9.2.1), RJSONIO
gridExtra, RColorBrewer, gplots, plyr, reshape2, scales,
labdsv, grid, ggmap, permute, VennDiagram, data.table, FD,
MASS, RgoogleMaps, lattice, reshape, ade4, phangorn, phytools,
Hmisc
graphics, methods, grDevices, stats, utils
methods, Rcpp (>= 0.11.1), parallel, doParallel, iterators,
foreach (>= 1.4.2), ggplot2, pROC, gtools, cluster, MASS
sp, rgeos, raster, maptools, lattice, RColorBrewer, classInt
Rcpp (>= 0.11.4), hash, optimx, permute, methods
data.table, Biostrings, Rsamtools, GenomicRanges,
GenomicAlignments, PropCIs
methods, car, nnet, RSNNS, e1071, randomForest
grid, grDevices, sp (>= 1.0-6), zoo, hexbin, RColorBrewer
stringr, XML, RCurl, scrapeR, gdata, scales, rgdal, maptools,
raster, sp, tools
XML, RCurl, rjson, wordcloud, rtematres, RColorBrewer
methods, utils, stats, httr, XML, jsonlite, plyr
plyr, RCurl, gdata, KEGGREST, data.table, stringr
methods, stats, plyr, httr, ggplot2, mapproj, grid, sp, dplyr,
jsonlite
rJava, rcdklibs (>= 1.5.8), methods, png, iterators
car (>= 2.0-21), RcmdrMisc (>= 1.0-1), nnet, foreign, rpart,
rpart.plot
Rcmdr (>= 2.0.0), runjags, rmeta, igraph, coda
Rcmdr (>= 2.1-1), tcltk, tcltk2, utils, ca, R2HTML (>= 2.3.0),
RColorBrewer, latticeExtra, stringi
methods, Rcpp (>= 0.11.0), RApiSerialize
utils, methods, stats, jsonlite, XML, httr (>= 1.0.0), plyr,
bibtex, dplyr
KernSmooth, ggplot2, rdd, sandwich, lmtest, Formula, locpol,
methods
assertthat, data.table, dplyr, httr, jsonlite, magrittr
XML, RCurl, OAIHarvester, ape, gdata, plyr, stringr, RJSONIO
gridExtra, ggplot2, igraph, reshape2, scales
numDeriv, Rcpp (>= 0.11.2), methods, stats, utils
methods, utils, stats, jsonlite, httr, dplyr
e1071, rpart, ada, ipred, stats, evd, methods, data.table (>=
1.7.8), nnet, xtable
chron, DBI, Hmisc (>= 3.14-6), httr, stringr
XML, RCurl, RJSONIO, utils, plyr, tools, bibtex, lubridate,
stringr, methods
lattice, boot, mgcv (>= 1.7-28), MASS, glmnet, magic, nlme,
wavethresh, Matrix, gamm4, matrixStats, lme4, splines, RLRsim
cluster, stats, slam, sets (>= 1.0-14), graphics, grDevices
sfsmisc, combinat, FRACTION, mcmc, PhaseType (>= 0.1.3),
actuar, HI
methods, stats, cluster, clusterGeneration, MASS, utils
OutbreakTools, jsonlite, plyr, sp, ggplot2, geojsonio
survival, xtable, aod, cmprsk, geoR, stringr,
data.table, dplyr (>= 0.3), Rcpp, reshape2, ggplot2,
assertthat
methods, utils, stats, httr, dplyr, data.table, jsonlite,
xml2, digest, ncdf
foreach, iterators, pls, Rcpp (>= 0.11.0)
foreign, RImageJROI, png, ttutils, sp, geometry (>= 0.2-1),
RTriangle (>= 1.6-0.4), rgl, R.matlab
Matrix, igraph, XML, stringr, magrittr, gtools, plyr
RJSONIO, httr (>= 0.3), httpuv, plyr, yaml, ggplot2, XML
httr, data.table, assertthat, ggplot2, rjson
randomForest, ggplot2, UsingR, WilcoxCV, ROCR
graphics, grDevices, grid, gridExtra, stats
utils, stats, httr (>= 0.6), httpuv, curl, jsonlite, shiny (>=
0.11)
ggplot2, lubridate, plyr, httr, reshape2, gridExtra, scales,
data.table
methods, utils, stats, XML, ggplot2, httr (>= 1.0.0),
data.table, whisker, magrittr, jsonlite (>= 0.9.16), V8
jsonlite, htmlwidgets (>= 0.3.3), magrittr
tools, utils, foreign, haven, openxlsx, readODS, jsonlite,
XML, curl, data.table, readxl
tcltk, tcltk2, RCurl, tools, knitr, markdown
graphics, stats, lattice, grid, SparseM, xtable, svd, abind
MASS, quantreg, nlme, mgcv, stringr, magic, robustbase, Rcpp
(>= 0.11.1)
Luminescence (>= 0.4.2), shiny (>= 0.11.1), digest, googleVis,
RCurl
tools, utils, knitr (>= 1.6), yaml (>= 2.1.5), htmltools (>=
0.2.4), caTools
Rsolnp, MASS, Matrix, zoo, xts, Bessel, ff, shape, pcaPP, spd,
Rcpp, utils, graphics, stats, grDevices
methods, plotrix, lattice, nnet, pls, MASS, mda, rpart,
randomForest, adabag, party, Cubist, kernlab, e1071
quantreg, nlme, rpart, polspline, multcomp
RColorBrewer, abind, fields, fossil, tgp, tcltk, graphics, sp
methods, stats, utils, httr (>= 1.0.0), lubridate, dplyr,
tidyr, ggplot2, scales, rgdal, XML, jsonlite
XML2R, RCurl, zoo, rjson, rgdal, sp, stringr
lattice, RColorBrewer, Biobase, RandVar(>= 0.9.2), distr(>=
2.5.2)
BiocGenerics, Biobase, beadarray, lattice, RColorBrewer,
distr(>= 2.5.2)
stats, graphics, utils, methods, DEoptimR
ggplot2, lattice, nlme, methods, robustbase (>= 0.9.5), xtable
numDeriv, quadprog, Matrix, rootSolve, matrixcalc
methods, ROI (>= 0.1-0), Rsymphony, slam
stringr (>= 0.5), brew, digest, methods, Rcpp (>= 0.11.0)
Rcpp, doBy, geiger, phylolm, phytools, mvnmle
Rcpp (>= 0.11.5), dplyr (>= 0.3), RSQLite (>= 1.0), DBI,
data.table, tidyr, lubridate, stringi, parallel, doParallel,
foreach
methods, utils, stats, httr, jsonlite, dplyr, plyr, lubridate,
reshape2, whisker, solr
quantreg, limma, lattice, stats4, gam, gplots, grid, ggplot2,
Hmisc, Biobase
stringr (>= 1.0.0), stringi, plyr, tools, assertthat
RPMG, RSEIS, GEOmap, MBA, minpack.lm, rgl, cda
stats4, mvtnorm, lattice, cluster, pcaPP
parallel, doParallel, foreach, stats, grDevices, graphics
methods, XML (>= 3.96-1.1), RCurl, plyr, utils
BBmisc, glmnet, superpc, survcomp, Matrix
jsonlite (>= 0.9.5), httr (>= 0.3), plyr, base64enc, digest,
stringr
plyr, stringr, httr, RCurl, XML, jsonlite
raster, RMark, ggplot2, tcltk2, sp, grid, plyr, tcltk
graphics, Rcpp (>= 0.10.2), numDeriv, stats, mgcv, bbmle (>=
1.0.3)
methods, utils, httr, plyr, jsonlite, stringr
methods, randomForest, tree, nnet, tm, e1071, ipred, caTools,
maxent, glmnet, tau
gstat, graphics, stats, methods, utils, grDevices
Rsolnp, nloptr, ks, numDeriv, spd, xts, zoo, chron,
SkewHyperbolic, expm, Rcpp
parallel, lattice (>= 0.20-10), coda (>= 0.17-1), stats, utils
methods, utils, tools, R.methodsS3 (>= 1.7.0)
ade4, boot, cramer, car, lme4 (>= 1.0-4), MASS, mixOmics (>=
5.0.2), multcompView, nnet, pspearman, statmod, stats, vegan
plyr, jsonlite, httr, dplyr, ggplot2, maps
coxme, survival, lme4, kinship2, MASS, Matrix
ggplot2, httr, plyr, rgdal, jsonlite, reshape2, sp
RWekajars (>= 3.7.12), rJava (>= 0.6-3), graphics, stats,
utils, grid
rJava, fingerprint, data.table, rcdk (>= 3.3.2)
ncdf4, GEOmap, geomapdata, mapproj, abind, parallel,
bigmemory, SpecsVerification, plyr
PDQutils (>= 0.1.1), hypergeo, orthopolynom
MASS, methods, graphics, grDevices, VGAM, poilog, GUILDS
dplyr(>= 0.2), functional, ggplot2, MASS, spdep, parallelMap
RColorBrewer, dichromat, plyr, munsell (>= 0.2), labeling,
methods, Rcpp
methods, stats, graphics, Matrix, splines
Matrix, utils, stats, iterators, RCurl, zoo, graphics, digest
RSQLite, vcd, data.table, grid, scales, plyr, dplyr, magrittr,
stringr
car, robustbase, cluster, MASS, e1071, tools, Rcpp,
methods,sets
methods, parallel, stats, shiny (>= 0.11)
methods, magrittr(>= 1.5), stringi(>= 0.4.1)
abind, MASS, utils, parallel, nlme, sp, mgcv, raster
graphics, grDevices, stats, utils, tuneR
Rcpp (>= 0.11.1), glasso, parallel, Rmixmod
matrixcalc, MASS, boot, mi (>= 0.9-99), tcltk, DiagrammeR
magic, VGAM, survey, trust, VineCopula, graphics, stats,
utils, grDevices
qgraph (>= 1.2.4), lavaan (>= 0.5-11), sem (>= 3.1-0), plyr,
XML, igraph (>= 0.6-3), lisrelToR, rockchalk, colorspace,
corpcor, methods
TSP, grid, cluster, gclus, colorspace, MASS, gplots, registry,
methods, stats, grDevices
mime (>= 0.2), httpuv (>= 1.3.2), jsonlite
Cairo, colorspace, data.table (>= 1.8.10), doParallel,
foreach, grid, gridBase, iterators, jsonlite, methods, plyr,
quantreg, reshape2, RSQLite, sn (>= 1.0-0), splines
gplots, jpeg, pixmap, wavethresh, methods, vegan, MASS
aqp, ape, soilDB, igraph, cluster, lattice, latticeExtra,
vegan, sp, reshape2, Hmisc, scales, circular, RColorBrewer,
plyr
htmltools (>= 0.2.6), jsonlite (>= 0.9.12), shiny
tools, shiny (>= 0.11), htmltools, RJSONIO
boot, coin, CompQuadForm, energy, graphics, grDevices,
KernSmooth, mvoutlier, robustbase, stats, utils
ape, network, igraph, gridBase, grid, ggmap, ggplot2
biogram, graphics, seqinr, shiny, stats, utils
ape, phylobase, phyext2, RColorBrewer, phyloseq, graphics,
utils, stats
data.table (>= 1.9.2), dplyr (>= 0.3), ggplot2, gridExtra,
lazyeval, MASS, mgcv, reshape2, stringr, survival, quadprog
laeken, MASS, Rcpp (>= 0.11.0), e1071, parallel, nnet,
doParallel, foreach, colorspace, methods
stats, parallel, utils, grDevices, methods, grid, sfsmisc,
gridBase (>= 0.4-6), colorspace
stats, graphics, utils, Rcpp, mirt, lavaan, qgraph, semPlot,
combinat, ic.infer, sfsmisc, sm, psych, pbivnorm, gtools,
igraph, coda, mvtnorm, MASS, Matrix, lavaan.survey, survey
MASS, RColorBrewer, coda, gdata, gtools, moments, polyapost,
rcdd, stats
qcc, lattice, grid, ggplot2, reshape2, nortest, testthat
car, dplyr (>= 0.4.1), ggplot2, grid, MASS, psych, scales,
sjmisc (>= 1.0.3), tidyr (>= 0.2.0)
slam (>= 0.1-31), clue (>= 0.3-39), cluster, stats, utils
graphics, stats, polynom, scatterplot3d, Hmisc, colorspace,
nnls
Matrix, gplots, gtools,PMA, elasticnet, pcaPP, igraph
mnormt, numDeriv, stats, grDevices, graphics, utils
methods, stats, pls, KernSmooth, wavelets, hexView, sp, GSIF
methods, plyr (>= 1.8.1), ggplot2, data.table
parallel, pracma, oce, ineq, vegan, tuneR, seewave
methods, spdep, foreach, iterators, lme4, nlme, Matrix
stats, graphics, Matrix, MASS, lpSolveAPI (>= 5.5.0.14),
proxy, geometry, Rcpp (>= 0.11.0), nlme
Rcpp (>= 0.11.0), msm, VGAM, MCMCpack, coda, glmnet,
gridExtra, grid
glasso, longitudinal, flare, MASS, mvtnorm, network, abind,
stats
RANN, rms, sp (>= 1.0-15), raster (>= 2.3-10), spatstat (>=
1.35-0), cluster, spdep, SDMTools, RCurl, rgeos
distillery, maps, boot, CircStats, fastcluster, waveslim
mgcv, Matrix, deldir (>= 0.0-21), abind, tensor, polyclip (>=
1.3-0), goftest
survival, sp, spatstat, raster, iterators, RandomFields,
fields, rgl, Matrix, stringr, rgeos, RColorBrewer, geostatsp,
OpenStreetMap, methods
LearnBayes, deldir, boot (>= 1.3-1), splines, coda, nlme, MASS
corpcor, graphics, plyr, MASS, separationplot, stats, Rcpp (>=
0.11.0), xtable
stats, methods, utils, grDevices, graphics, maptools, sp,
raster
Rssa (>= 0.11), raster, nnet, abind, RNetCDF, ncdf.tools,
foreach, JBTools, DistributionUtils, RColorBrewer
sp, rgdal, SDMTools, foreach, methods, grDevices, graphics,
stats, utils
akima, coda, cluster, grid, gridExtra (>= 2.0.0), MASS,
MCMCpack, mvtnorm, R2WinBUGS, reshape, scales, splines,
parallel
plm, maxLik, MASS, bdsmatrix, ibdreg, nlme, Matrix, spam
utils, methods, stats, rgbif (>= 0.8.4), rbison (>= 0.4.8),
ecoengine (>= 1.9.1), rebird (>= 0.1.1), AntWeb (>= 0.7),
rvertnet (>= 0.3.0), lubridate, httr, whisker, V8, jsonlite
methods, utils, stats, graphics, spocc (>= 0.3.0), ggmap,
grid, sp, rworldmap, RColorBrewer, httr, leafletR (>= 0.2-0),
gistr
rpart, emoa, twiddler, rgl, AlgDesign, randomForest, rsm,
MASS, mco
pedometrics, Rcpp (>= 0.11.3), sp, SpatialTools
parallel, graphics, stats, grDevices, methods
MASS, Biobase, edgeR, limma, qvalue, ssize.fdr
MASS, igraph (>= 0.6), maptools, lattice, methods
parallel, doParallel, foreach, adegenet, methods, utils
data.table, dplyr (>= 0.4.1), ggplot2, lazyeval, matrixStats,
proto, stargazer, stringr, tidyr
cluster, e1071, MASS, MBA, mgcv, rgl, robustbase, xtable
stats, graphics, datasets, Rcpp (>= 0.11.5), MASS, utils,
rjags, pmr
QCA, plyr, ggplot2, XML, randomForest, caret, dendextend,
magrittr, stats, utils, graphics, grDevices
bezier (>= 1.1), grid, rjson, shiny, Rcpp (>= 0.9.9), jpeg,
tiff, png
matrixStats, splines, slam, lda, stringr, Matrix, glmnet, Rcpp
(>= 0.11.3), grDevices, graphics, stats, utils
Rcpp (>= 0.11), methods, stats, graphics, utils
parallel, swfscMisc, pegas, ape, MASS, reshape2
animation, clue, cluster, clusterGeneration, fpc, MASS,
mlbench, Rcpp (>= 0.11.4), utils, stats, graphics, grDevices
multtest, igraph, rjson, ggplot2, reshape2
ggplot2, gWidgets, grid, gtable, plyr, scales, gWidgetsRGtk2,
RGtk2, data.table
tcltk, tcltk2, ape, pamr, e1071, class, lattice, tsne
pander, xtable, rapportools, rstudioapi, utils
graphics, utils, stats, KMsurv, combinat, Hmisc, zoo, km.ci,
ggplot2, data.table, gridExtra, rpart, gam
e1071, LiblineaR, Matrix, SparseM, kernlab, methods, checkmate
(>= 1.6.0), BBmisc
graphics, grDevices, maps, spatstat, stats, utils
stringr, testthat, httr, yaml, RCurl, digest, tools
data.table, httr, ggmap, gridExtra, maptools, oce, dplyr,
reshape2, tictoc, tidyr, wq, XML
Rcpp (>= 0.10.4), methods, graphics, Matrix, compiler, stats,
parallel
graphics, stats, utils, rpart, party, foreign, plyr, proto
stats, graphics, utils, grDevices, methods, Rcpp, lavaan,
WrightMap, tensor, sfsmisc, GPArotation, psych, mvtnorm, msm,
lattice, plyr
taRifx, sp, rgdal, RJSONIO, rgeos, RCurl, methods
lambda.r (>= 1.1.6), lambda.tools, futile.logger (>= 1.3.7),
futile.matrix (>= 1.2.1), tawny.types (>= 1.1.2), zoo, xts,
PerformanceAnalytics, quantmod
lambda.r (>= 1.1.0), lambda.tools, futile.logger (>= 1.3.0),
futile.options, zoo, xts, quantmod
XML (>= 3.98.1.1), RCurl (>= 1.6), reshape2, stringr, plyr,
httr (>= 0.6.1), jsonlite, foreach, ape, Taxonstand,
data.table, bold
normalp, survival, mcmc, R.utils, coda, Rsolnp, BMS
ggplot2, GSA, multtest, reshape2, gtools, gplots, cluster,
stringr, splines, grid
foreach, zoo, fields, animation, geoR, tcltk, utils,
RcppArmadillo
lmtest, Rcpp (>= 0.10.6), rgl, sandwich, urca, zoo
reshape2, dplyr (>= 0.2), stringi, lazyeval
parallel, gss, lattice, pheatmap, doParallel, foreach,
reshape, edgeR
vcd, gplots, colorspace, splines, gclus, nnls (>= 1.1),
deSolve, minpack.lm (>= 1.1-1), MASS
methods, expm, numDeriv, ape (>= 3.2), phytools (>= 0.4-45),
phangorn (>= 1.99-12)
parallel, slam (>= 0.1-31), stats, tools, utils, graphics
sp, raster, grid, gridBase, rgdal, rgeos, classInt,
RColorBrewer
R.methodsS3, R.oo, MASS, Matrix, geometry
NLP (>= 0.1-2), tm (>= 0.6), boilerpipeR, RCurl, XML, RJSONIO
stats4, methods, modeltools, slam, tm (>= 0.6)
RCurl, XML, taxize, plyr, rappdirs, gWidgets, gWidgetstcltk,
gdata
XML, jsonlite, httr, dplyr, data.table, taxize
cluster, psych, pastecs, NbClust, graphics, grDevices, stats,
utils, GPArotation
methods, lattice, sp (>= 1.1-0), spacetime (>= 1.0-0)
utils, RColorBrewer, boot, graphics, grDevices, stats
methods, stats, graphics, grDevices, dbarts (>= 0.8-5)
XML, RCurl, methods, utils, reshape2, data.table
abind, plyr, ggplot2, lmtest, lmodel2, np, boot
colorspace, data.table (>= 1.8.8), ggplot2, grid, gridBase,
igraph, RColorBrewer, shiny (>= 0.12.0)
psych, stats, PSAgraphics, compiler, grid, gridExtra
AnnotationDbi, openxlsx, GO.db, gtools, RColorBrewer, gplots,
topGO
zoo, xts, dtw, TSclust, KernSmooth, locpol, pdc,
longitudinalData, cluster, methods, graphics, stats
mnormt, mgcv, nnet, tseriesChaos, tseries, utils, vars, urca,
forecast, MASS, Matrix, foreach
cubature, methods, parallel, stats, graphics
methods, DBI (>= 0.3.1), tframe, tframePlus, fame (>= 2.12),
tis
methods, DBI (>= 0.3.1), tframe, tframePlus, zoo, xts, its,
tseries(>= 0.10-33), quantmod (>= 0.4-0), gdata
methods, DBI (>= 0.3.1), tframe, tframePlus , TSsql (>=
2015.1-1), RODBC (>= 0.6-0)
graphics, foreach, utils, methods, stats, grDevices
BBmisc, checkmate (>= 1.5), fpc, vegan, stringr, splancs
methods, DBI (>= 0.3.1), tframe, tframePlus, TSsql (>=
2015.1-1), RPostgreSQL
methods, DBI (>= 0.3.1), tframe, tframePlus, RJSDMX(>= 1.3),
rJava
methods, DBI, tframe (>= 2015.1-1), TSdbi (>= 2015.1-1),
tframePlus, zoo
methods, DBI (>= 0.3.1), tframe, tframePlus, TSsql (>=
2015.1-1), RSQLite
Hmisc, pastecs, reshape, wq, e1071 , timeSeries, fBasics ,
relimp, multcomp, nlme, tcltk, lubridate, tcltk2
DoseFinding, MASS, mvtnorm, quadprog, SEL, splines
Brobdingnag (>= 1.1-8), partitions (>= 1.9-14), polynom
ggplot2, grid, gridExtra, plyr, utils, stats, methods,
grDevices
plyr, psych, pwr, fBasics, ltm, MBESS, SuppDists, GPArotation,
MASS, mosaic, foreign, car, knitr, xtable, GGally, grid, lavaan
quadprog, Matrix, MASS, CompQuadForm, RLRsim, SPA3G, mvtnorm,
nlme, stats
reshape2, foreach, plyr, gdata, MASS, stats, utils
stats, graphics, grDevices, Matrix, methods, numDeriv
stats, utils, MASS, grDevices, colorspace, lmtest
stats, grid, graphics, methods, nlme, rpart, numDeriv, ucminf,
zoo, sandwich, strucchange
ggplot2, plyr, maptools, gridSVG, grid, rjson, GGally, Rook,
dplyr
stringr, tis, lubridate, maptools, plyr, xts, scales
car, grDevices, robustbase, stats, sp,
vcd,MASS,nnet,e1071,methods,Rcpp,utils,graphics
graphics, grDevices, stats, utils, MASS, mvtnorm, igraph (>=
1.0.0), methods, copula, ADGofTest, lattice
marmap, intervals, methods, plotrix, sp, foreign, cluster,
cairoDevice, ggplot2, DBI, RSQLite, fields, gsubfn, AMORE,
ecodist, gWidgets, gWidgetsRGtk2, chron, maptools, outliers,
PBSmapping, R6, grid, VennDiagram, gmt
doParallel, foreach, parallel, randomForest, rpart
rjson, pbapply, RCurl, fftw, utils, stats, grDevices, graphics
colorspace, ggplot2, grid, lubridate, plyr, RColorBrewer,
testit, zoo
stats, grDevices, utils, matrixStats (>= 0.8.1), Hmisc,
impute, splines, foreach, doParallel, reshape, preprocessCore,
survival, parallel, GO.db, AnnotationDbi
shiny (>= 0.10.0), plyr, reshape2, googleVis, wpp2012, Hmisc,
ggplot2
graphics, grDevices, stats, ggplot2 (>= 0.9), reshape2
MASS, reshape, plyr, stats, graphics, grDevices, utils
wrspathrowData, sp, raster, rgeos, rgdal
rgdal, rgeos, class, stringr, Hmisc, gdata, corpcor, rworldmap
stats4, utils, methods, statnet, statnet.common, network, sna,
ergm (>= 3.2.4), texreg (>= 1.34), Matrix, parallel, boot,
coda, stats, ROCR, igraph, vegan, lme4 (>= 1.0), Rcpp (>=
0.11.0), speedglm
igraph, glmnet, MASS, snowfall, parallel, Matrix
httr, RCurl, rjson, plyr, jsonlite, stringr
grid, gridExtra, lattice, foreign, reshape2
utils, graphics, grDevices, lattice (>= 0.20-27)
RcppArmadillo (>= 0.4.650), BH (>= 1.55), RcppProgress (>=
0.2.1), Rcpp
Rcpp (>= 0.11.1), RcppArmadillo, RcppEigen
sglOptim, Rcpp, RcppProgress, RcppArmadillo, BH
Rcpp, RcppArmadillo, RcppProgress (>= 0.2)
Rcpp, RcppProgress, RcppArmadillo, BH, sglOptim
Rcpp, RcppEigen, BH (>= 1.58), StanHeaders (>= 2.7.0)
boot, car, ggplot2, plyr, HH, ICC, vcd, Hmisc
waveslim, splancs, MASS, maptools, spdep, pixmap, ape,
deldir, ade4TkGUI, adegraphics, sp, lattice
pegas, hierfstat, akima, maps, splancs, adehabitat, tripack,
testthat
Guerry, maptools, pixmap, spdep, splancs
boot, dynlm, effects, foreign, ineq, KernSmooth, lattice,
MASS, mlogit, nlme, nnet, np, plm, pscl, quantreg, ROCR,
sampleSelection, scatterplot3d, strucchange, systemfit, rgl,
truncreg, tseries, urca
ascii, xtable, parallel, plyr, optimx, nloptr
AER, agricolae (>= 1.2), betareg, car, coin, corrgram,
effects, equivalence, FrF2, gam, gstat, HH, knitr,
latticeExtra, lme4 (>= 1.1-5), lucid, mapproj, maps, MASS,
MCMCglmm, mgcv, nlme, ordinal, pls, pscl, qtl, sp, survival,
vcd
betareg, coxme, lme4, maxlike, nnet, ordinal, pscl, R2jags,
R2OpenBUGS, R2WinBUGS, survival
knitr, calibrate, mvtnorm, SportsAnalytics, RColorBrewer,
plotrix, abind
knitr, MASS, vcdExtra, nnet, survival, pROC
colorspace, maptools, foreign, ape, soilDB, latticeExtra,
maps, compositions
plyr, reshape2, ggplot2, knitr, testthat
survival, Hmisc, xtable, R2HTML, cacheSweave, weaver
doMC, foreach, testthat, knitr, markdown, arm, lme4, xtable,
languageR
sparseHessianFD(>= 0.2.0), sparseMVN(>= 0.2.0), mvtnorm,
trustOptim (>= 0.8.5), plyr (>= 1.8), dplyr, testthat, knitr,
R.rsp, MCMCpack
rworldmap, snowFT, googleVis, rgdal, rworldxtra, sp, wpp2008,
wpp2010
emdbook, rms, ggplot2, RUnit, MuMIn, AICcmodavg, Hmisc,
optimx (>= 2013.8.6), knitr, testthat
MASS, ggplot2, grid, R2jags, R2OpenBUGS, INLA, mgcv
DNAcopy, coda, strucchange, vegan, ggplot2, igraph
coin, multcomp, lme4, e1071, entropy, archetypes, Rgraphviz,
psychotree
survey, intsvy, svyPVpack, lavaan.survey, Hmisc, car, lme4
XML, RCurl, lattice, ncdf, igraph, bigmemory, knitr, testthat
(>= 0.9.1)
permute, lattice, MASS, mgcv, cluster, car, RODBC, rpart,
effects, multcomp, ellipse, maptree, sp, splancs, spatial,
akima, nnet, dismo, raster (>= 2.0-31), rgdal, gbm,
randomForest, gam, earth, mda, kernlab, e1071, tools, methods,
bootstrap
parallel, graph, Rgraphviz, lattice, gRain
knitr, xtable, mlbench, nnet, class, e1071, randomForest
knitr, survival, gam, glmnet, lfe, Lahman, MASS, sp, maps,
maptools, multcomp, testthat, lme4, nlme, zoo, lmtest, plm,
biglm, ggplot2, nnet
alr4, boot, leaps, lme4, lmtest, Matrix, MatrixModels, nlme,
rgl (>= 0.93.960), sandwich, SparseM, survival, survey
boot, deldir, foreign, grid, maptools, Matrix, nlme,
shapefiles, splines
e1071, earth (>= 2.2-3), fastICA, gam, ipred, kernlab, klaR,
MASS, ellipse, mda, mgcv, mlbench, nnet, party (>= 0.9-99992),
pls, pROC (>= 1.8), proxy, randomForest, RANN, spls, subselect,
pamr, superpc, Cubist, testthat (>= 0.9.1)
testthat, randomForest, rpart, kernlab, nnet, e1071, ipred,
pROC, knitr, mlbench, MASS, gbm, klaR
dse, e1071, expsmooth, fBasics, FitARMA, fGarch, polynom,
TSA, xtable
rms, qvcalc, glmmML, nnet, pscl, VGAM, gee, mlogit, Ecdat,
geepack, mgcv, rpart, party, ordinal, lme4, vcdExtra, glmnet,
mboost, class, e1071, flexmix, lqa, lpSolve, GAMBoost,
penalized
lattice, spacodiR, entropart, fBasics, picante, knitr
rgl, grid, ggplot2, gridExtra, testthat, knitr
data.table, dplyr, ggplot2, knitr, microbenchmark, testthat
nnet, randomForest, ada, rrcov, sfsmisc, ipred, fastICA, rda,
TIMP, class, e1071, rpart, cluster, ALS, ptw, dtw, boot, leaps,
lars, elasticnet, subselect, kohonen, signal, mclust
mvbutils, sna, knitr, IDPmisc, amap, seriation, speaq,
clusterCrit, NbClust, R.utils, RColorBrewer, baseline, js,
jsonlite, exCon, mclust, gsubfn, lattice, pcaPP, pls, grid,
robustbase, MASS
drc, knitr, markdown, MBmca (>= 0.0.3-4), qpcR, RDML, xtable
e1071, lpSolve (>= 5.5.7), quadprog (>= 1.4-8), relations
Biobase, annotate, GO.db, moe430a.db, RankAggreg, kohonen,
mclust
CGHcall, CGHregions, CNVtools, xtable, MASS, Biobase, CGHbase
abc (>= 2.0), knitr, rmarkdown, testthat (>= 0.10.0)
snowfall, lars, ridge, tree, randomForest
KernSmooth, MASS, kernlab, mvtnorm, vcd, dichromat, tcltk
pcalg, InvariantCausalPrediction, glmnet, backShift, CAM,
kernlab, mgcv, testthat
inSilicoDb, genefilter, gplots, GSVA, limma,
mogene10sttranscriptcluster.db, RColorBrewer
RandomFields, spam, scatterplot3d, fields, mapproj
lattice, nlme, Hmisc, geepack, MASS, sandwich
MASS, KernSmooth, sfsmisc, scatterplot3d, Rmpfr, bbmle,
partitions, polynom, rugarch, colorspace, mvnormtest, tseries,
zoo
R6, knitr, shiny (>= 0.11.1), DT, testthat, rstudioapi (>=
0.2)
testthat, knitr, jsonlite, rmarkdown, magrittr
leaps, oz, lme4, quantreg, knitr, boot, rpart, randomForest,
MASS, survival
MASS, rpart, ipred, e1071, randomForest, mboost, TH.data
ggplot2 (>= 0.9.0), plyr, reshape, testthat (>= 0.4), hexbin,
fastmatch, nlme, xts, bit64
bitops, minpack.lm, splines, XML, oro.dicom (>= 0.4.3),
testthat
MASS, lattice, rjags (>= 3-5), R2WinBUGS, R2OpenBUGS, BRugs,
snow, rlecuyer
dendextendRcpp (>= 0.5.0), knitr, testthat, colorspace,
ggplot2, plyr, ape, profdpm, microbenchmark, gplots, NMF,
d3heatmap, dynamicTreeCut, pvclust, corrplot, DendSer, MASS,
cluster, circlize (>= 0.2.5), covr
knitr, RColorBrewer, gplots, heatmap.plus, seriation
mvtnorm, rgl, sn, robustbase, dplyr, RcppArmadillo
testthat (>= 0.7), BiocInstaller, Rcpp (>= 0.10.0), MASS,
rmarkdown, knitr, lintr (>= 0.2.1)
MASS, inlinedocs, ggplot2 (>= 0.9.1), lattice, alphahull,
reshape2, nlme, ElemStatLearn, proto, lars, latticeExtra
ggplot2, gridExtra, ggdendro, scales, seriation
mgcv, spdep, geostatsp, mapmisc (>= 1.0)
rJava (>= 0.5-0), rgdal, rgeos, XML, ROCR, deldir, gstat,
randomForest, kernlab, maptools, jsonlite, gbm (>= 2.1.1)
numDeriv, minqa, lubridate, expm, caper, geiger
mgcv, survival, lme4, gee, geepack, mvmeta
pbkrtest (>= 0.3-8), ggplot2, multcomp, geepack, lme4
doParallel, doMPI, doRedis, rbenchmark, RUnit, devtools,
knitr, bibtex
numDeriv, Rsolnp, quadprog, parallel, multcomp
Biobase, dichromat (>= 1.2-3), foreach, forecast, iterators,
knitr, RColorBrewer, testthat (>= 0.8), tikzDevice, waveslim
RSQLite (>= 1.0.0), RMySQL, RPostgreSQL, data.table,
testthat, knitr, microbenchmark, ggplot2, mgcv, Lahman (>=
3.0-1), nycflights13, methods
its (>= 1.0.9), lattice, MASS, MCMCpack, quantreg (>= 3.82),
randomForest, sandwich, tseries
cluster, mlbench, nnet, randomForest, rpart, SparseM, xtable,
Matrix, MASS
car, systemfit, sem, lmtest, sandwich, gdata, RCurl, XML, tis
BMA, car, DescTools, Ecdat, maps, grid, gridBase, pryr
knitr, ggplot2, RCurl, fields, gridExtra, animation
pbkrtest, nlme, MASS, poLCA, heplots, splines, ordinal
xtable, knitr, rmarkdown, extrafont, testthat, rkt
gam, splines, MASS, class, leaps, mda, lasso2, lars, boot,
prim, earth
hgu133plus2.db, lumi, vsn, GOstats, GO.db
R2WinBUGS, ellipse, SuppDists, numDeriv, testthat
caret, cmprsk, glmnet, Hmisc, MASS, parallel, party, pamr,
randomForest, RColorBrewer, rpart, survival, testthat (>=
0.9.1)
knitr, testthat, dplyr, ggplot2, ggthemes
Rcmdr, gWidgets (>= 0.0-45), gWidgetstcltk (>= 0.0-44)
splines, nlme, survival, mstate, etm, MASS, cmprsk
lattice, latticeExtra, sna, latentnet, knitr
knitr, mapproj, plotrix, reshape2, rmarkdown, ggplot2,
testthat
testthat (>= 0.2), foreach, grid, gridExtra, doParallel
Formula, kernlab, lattice, mlbench, multcomp, party, rpart,
xtable
ggplot2, knitr, PerformanceAnalytics, stats, SuppDists,
truncdist, VGAM, xtable
corpcor, mvnmle, polycor, nFactors, Rgraphviz, mvnormtest,
energy, GPArotation, sem, MASS, psych
MASS, faraway, Hmisc, DAAG, multcomp, vcd, car, alr3,
corrgram, BradleyTerry2, cubature, Devore7, knitr
RJSONIO, RCurl, httr, XML, Rlab, xtable, tcltk, speedglm,
glmnet
deSolve, R.matlab, quadprog, nlme, lattice, RCurl, zoo
foreach, XML (>= 3.96.1.1), testthat, its, timeSeries
moments, distrEx, tseries, urca, lmtest, sandwich, psych,
GPArotation, chron, polynom, fUnitRoots, e1071
codetools, diptest, ellipse, gclus, glmnet, lme4 (>= 1.0),
MASS, mgcv (>= 1.8-0), mlbench, mlogit, multcomp, mvtnorm,
survival
tcltk, tkrplot, fastICA, adimpro, oro.nifti
astsa, mgcv, nlme (>= 3.1-64), testthat (>= 0.9.0), rSFA,
Rsocp, Rnlminb2, Rdonlp2, dplR, bcp, fGarch, mvoutlier
MASS, hflights, cluster, ggplot2, testthat, RSQLite
ada, arm, Boruta, bst, C50, car, caTools, class, Cubist,
e1071, earth (>= 2.2-3), elasticnet, ellipse, evtree,
extraTrees, fastICA, foba, gam, gbm (>= 2.1), glmnet (>= 1.8),
hda, HDclassif, Hmisc, ipred, kernlab, kknn, klaR, kohonen,
KRLS, lars, leaps, LogicReg, MASS, mboost, mda, mgcv, mlbench,
neuralnet, nnet, nodeHarvest, obliqueRF, pamr, partDSA, party
(>= 0.9-99992), penalized, penalizedLDA, pls, pROC, proxy,
qrnn, quantregForest, randomForest, RANN, relaxo, rFerns, rocc,
rpart, rrcov, RRF, rrlda, RSNNS, RWeka (>= 0.4-1), sda,
sparseLDA (>= 0.1-1), spls, stepPlr, superpc
leaps, quantreg, sp, diagram, oz, forecast, SMIR, kernlab,
Ecdat, mlbench, DAAGbio, knitr
BradleyTerry2, MASS, Matrix, MCMCglmm, R2jags, bdsmatrix,
coda, coxme, foreign, grid, haplo.stats, kinship2, lattice,
magic, mets, nlme, pedigree, pedigreemm, regress, rms, survival
qvalue, genetics, haplo.stats, DatABEL (>= 0.9-0), hglm,
MetABEL, PredictABEL, VariABEL, bigRR
coda, distr, distrEx, reldist, rlecuyer, snowfall
geoR, RandomFields, rgdal, parallel, mapmisc, ellipse, pracma
MASS, signal, zoo, mmap, bitops, matlab, GENEAread
quantreg, Hmisc, mapproj, maps, hexbin, maptools, multcomp,
nlme, testthat, knitr, mgcv
testthat, knitr, RColorBrewer, MASS, dplyr, plot3D
knitr, plyr, reshape2, extrafont, pander, maps, mapproj
MASS, mgcv, lubridate, testthat (>= 0.8.1), knitr (>= 1.6),
rmarkdown
MASS, aod, lme4, pscl, leaps, survival, nnet
idr, Hmisc, RColorBrewer, foreach, jpeg, testthat (>= 0.3),
knitr
RUnit, Deducer, knitr, graph (>= 1.20), mutoss, boot, coin
mvtnorm, car, stabledist, MASS, timeDate, timeSeries
gplots, gtools, Matrix, nlme, lme4 (>= 0.999999-0)
rjson, RCurl, soiltexture, spatstat, stringr, XML, boot,
splines, mda, psych, nortest, rpart, quantregForest,
randomForest, nlme, reshape, fossil, AICcmodavg, maptools,
nnet, SDMTools, rJava (>= 0.5-0), spacetime, gdalUtils, tools,
maxlike, Hmisc
rgdal (>= 0.5.2), rgeos, fields, mapdata, maptools, xts
boot, chron, doBy, grid, lattice, quantreg, reshape, svUnit,
tcltk, zoo
lme4, nlme, amap, nbpMatching, lattice, lmerTest
testthat, dostats, doParallel, foreach, MCMCpack, boot
rgl, candisc, effects, reshape, gplots, nlme, lattice,
reshape2, corrgram, FRB, animation
methods, mvtnorm, car, Rcmdr, RcmdrPlugin.HH, TeachingDemos
robustbase, cubature, mvtnorm, chron, timeDate, quantmod,
MASS, sandwich, numDeriv, FKF, BMS, rugarch
gtools, KernSmooth, maps, ggplot2, proto, grid, reshape,
plyr, lattice, jpeg, car, gplots, sp, heplots
mvbutils, FuncMap, lattice, reshape, ggplot2, knitr,
bipartite, sna, tcltk, rgl, xtable, tkrgl
lme4, gamlss, gamlss.dist, pscl, nnet, aods3, VGAM, glmmADMB,
latticeExtra
lattice, MASS, scatterplot3d (>= 0.3-23), alr3, ape (>= 1.6),
coin (>= 0.3-3), flexmix (>= 1.1-0), gee (>= 4.13-10), lme4 (>=
0.98-1), mclust (>= 3.0-0), party (>= 0.2-8), randomForest (>=
4.5-12), rmeta (>= 2.12), vcd (>= 0.9-3), survival, rpart,
gamair, multcomp (>= 1.0-3), sandwich, mboost, KernSmooth,
Matrix, boot, mgcv, mvtnorm, partykit, tm, wordcloud, TH.data
testthat, knitr, magrittr (>= 1.5), tidyr
testthat, XML, xtable, ztable, Hmisc, reshape
base64enc, httpuv, jpeg, knitr, PKI (>= 0.1-2), png, testthat
(>= 0.8.0), XML
knitr, RefManageR, adegenet, genetics, parallel
hydroGOF(>= 0.3-5), hydroTSM(>= 0.3-6), xts(>= 0.8-2),
parallel, scatterplot3d, vioplot, SWAT2R
R.matlab, tripack, deldir, rgl, plotrix, testthat, sp,
baseline, compiler, inline, Rcpp, MASS, fastcluster, pls
testthat, devtools, knitr, microbenchmark, magrittr, XML,
memoise, profr, ggplot2, digest, xtable, rmarkdown
igraphdata, stats4, rgl, tcltk, graph, ape, scales
XML, devtools, rjson, data.table, plyr, ggplot2, sp, tools
MCMCglmm, truncnorm, mvtnorm, methods, MCMCpack, fields
actuar, aplpack, boot, coin, combinat, DAAG, diagram, distr,
distrEx, distrTeach, e1071, HH (>= 2.1-32), Hmisc, lattice,
lmtest, mvtnorm, odfWeave, prob, qcc, RcmdrPlugin.IPSUR (>=
0.1-6), Rcmdr, reshape, scatterplot3d, TeachingDemos (>= 2.5),
vcd
curl (>= 0.5), plyr, testthat, knitr, rmarkdown, R.rsp
scatterplot3d (>= 0.3-22), som, mlbench, rpart, e1071
ggplot2, plyr, reshape2, googleVis, testthat, microbenchmark
testit, rgl (>= 0.95.1201), codetools, rmarkdown, XML, RCurl
testthat, roxygen2, corrplot, ggplot2, igraph, maps, mapproj,
maptools, plyr, reshape2, xtable,
amap, FactoClass, foreach, LICORS, testthat
RUnit, knitr, lme4, nlme, xtable, MASS, splines, survival
lattice, ggplot2, googleVis, data.table, vcd, plyr, reshape2,
zipcode
cluster, e1071, rms, Hmisc, MASS, rpart, lattice, zipfR,
lme4, multcomp, lmerTest, optimx
KernSmooth, snowFT, rgl, heplots, rlecuyer, ergm.userterms
maps, mapproj, deldir, tripack, quantreg, zoo, MASS, mgcv
mets (>= 1.1), graph, Rgraphviz, igraph (>= 0.6), Matrix,
KernSmooth, lme4, geepack, gof (>= 0.9), foreach, rgl, fields,
survival, testthat, ascii
knitr, rmarkdown (>= 0.2.65), microbenchmark, testthat
Matrix, reshape2, ggplot2 (>= 0.9.1), penalized
mallet, lda, topicmodels, gistr (>= 0.0.8.99), servr, shiny,
knitr, rmarkdown
rtracklayer, GenomicRanges, chopsticks (>= 1.18.0), lattice,
ggplot2
knitr, maps, shiny, testit (>= 0.4), rgdal, R6, RJSONIO
roxygen2, knitr, rmarkdown, devtools, testthat
mvtnorm, elasticnet, MASS, randomForest, pls, gtools
knitr, boot, PKPDmodels, MEMSS, testthat (>= 0.8.1), ggplot2,
mlmRev, optimx (>= 2013.8.6), gamm4, pbkrtest, HSAUR2, numDeriv
car, strucchange, sandwich, dynlm, stats4, survival, AER
car, lattice, MCMCpack, mediation, multcompView, ordinal,
pbkrtest (>= 0.4-1), afex, CARBayes, coxme, gee, geepack,
glmmADMB, lme4.0, lme4, MASS, MCMCglmm, survival
coda, mcmcplots, ggmcmc, knitr, ggplot2, gridExtra, reshape2
caret, rpart, randomForest, gsubfn, Hmisc, plyr,
RColorBrewer,
knitr, testthat (>= 0.8), RNetCDF (>= 1.6.1)
knitr, rmarkdown, testthat, R.rsp, devtools (>= 1.7.0)
RColorBrewer, geonames, classInt, rgdal, knitr
rgeos (>= 0.1-8), spatstat (>= 1.18), PBSmapping, maps,
RColorBrewer
cem, optmatch, Matching, nnet, rpart, mgcv, WhatIf
RJSONIO, qvalue, ecodist, gplots, scatterplot3d
plspm, simsem, RUnit, parallel, semPLS, boot, ASGSCA, RGCCA,
Matrix
base64enc, ggplot2, knitr, microbenchmark, R.devices, R.rsp
testthat, copula, fitdistrplus, pander, knitcitations,
rmarkdown, knitr, lattice
MASS, sem, boot, nlme, gsl, lavaan, parallel, snow, OpenMx
party (>= 1.0-3), TH.data, MASS, fields, BayesX, gbm,
mlbench, RColorBrewer, rpart (>= 4.0-3), randomForest, nnet
car, classInt, mlogit, RColorBrewer, spatstat, spdep
boot, car, ConvergenceConcepts, geepack, lmtest, strucchange,
plm, zoo
mgcv, quantreg, VGAM, SuppDists, survival, parallel
knitr, devtools, TeachingDemos, RColorBrewer, reshape2
lme4, numDeriv, minqa, nloptr, dfoptim, ucminf, CompQuadForm,
mvtnorm, Formula, R.rsp, testthat, BiasedUrn, survival, Epi,
igraph, multcomp, plyr
GEOquery, org.Hs.eg.db, VennDiagram, annaffy, hgu133plus2.db,
hgu133a.db, hgu95av2.db
MASS, GEOquery, pcaPP, affy, hgu133plus2.db, doMC, doSMP,
ellipse, impute
doMC, doSNOW, FactoMineR, matrixStats, gdata, gtools,
survival
R2WinBUGS, BRugs, rjags, coda, lattice, lme4
testthat, RColorBrewer, ggplot2, jsonlite (>= 0.9.16), knitr
(>= 1.8), shiny (>= 0.12.0), binom, dplyr
lava.tobit (>= 0.4-7), prodlim, testthat, ucminf
tseries, pastecs, locfit, tseriesChaos, RTisean, tsDyn,
forecast
betareg, lattice, knitr, MASS, nnet, parallel, sn, survival,
truncnorm, foreign
AGD, gamlss, lme4, mitools, nlme, pan, survival, Zelig
Amelia, Zelig, jomo, haven, BIFIEsurvey, mitml, pan
boot, latticeExtra, directlabels, shiny, knitr, Rsolnp,
alabama, sirt, mirtCAT
e1071, mvtnorm, AcceptanceSampling, boot, car, Dodge,
tseries, qcc, DoE.base, FrF2, rsm, LearnBayes, ggplot2, grid,
DiceEval, DiceKriging, DiceDesign, DiceView, lhs, survival
bigmemory, GeneSelector, gplots, nnet, cairoDevice, fBasics
ada, adabag, bartMachine, brnn, bst, care, caret, class,
clue, cluster, clusterSim, clValid, cmaes, CoxBoost, crs,
Cubist, DiceKriging, DiceOptim, DiscriMiner, e1071, earth,
elasticnet, elmNN, emoa, extraTrees, flare, FNN, frbs,
FSelector, gbm, GenSA, glmnet, Hmisc, irace, kernlab, kknn,
klaR, knitr, kohonen, laGP, LiblineaR, lqa, MASS, mboost, mco,
mda, mlbench, modeltools, mRMRe, nnet, nodeHarvest, pamr,
party, penalized, pls, pROC (>= 1.8), randomForest,
randomForestSRC (>= 1.6.1), RCurl, rFerns, rjson, rmarkdown,
robustbase, ROCR, rpart, rrlda, rsm, RWeka, sda, sparsediscrim,
sparseLDA, stepPlr, testthat, tgp, TH.data
party, rpart, glmnet, rms, randomForest, randomForestSRC
dclone, ggmcmc, ggplot2, gridExtra, lattice, rjags
lubridate, fastR, magrittr, NHANES, RCurl, sp, maptools, vcd,
testthat, tidyr, knitr, tools, parallel, mapproj
RCurl, adehabitatHR, adehabitatLT, circular, ggmap, mapproj,
maptools, testthat
lattice, tm (>= 0.5-8.5), vcd, SnowballC, HSAUR2, colorspace,
corpus.useR.2008.abstracts
aod, asreml, happy.hbrem, Heatplus, MASS, VPdtw, lattice
spam, Matrix, oro.dicom, oro.nifti, mritc, ROCR, RANN, rgl,
fields
animation, KernSmooth, rgl, plotrix, ggplot2 (>= 0.9), sna
lme4 (>= 0.999375-16), nlme, robustbase, coin, MASS, car,
foreign, xtable, lmtest, coxme (>= 2.2-1), SimComp, ISwR
MASS, lattice, testthat, arm, ggplot2, rbenchmark, scales,
vegan
nlme, mgcv (>= 1.7.5), lme4 (>= 1.1.0), gamm4, MASS, nnet,
survival, geepack
mvtnorm, mclust, lattice, flexclust, nlme, RLRsim, multcomp,
ape, MASS, sem, KernSmooth, scatterplot3d
knitr, testthat, mvtnorm, microbenchmark, MASS, plyr
testthat, plyr, MASS, parallel, lars, ggplot2, knitr,
rmarkdown
knitr, RUnit, rjags, gWidgetstcltk, nlme
reshape, WWGbook, lattice, ellipse, roxygen2, testthat
minpack.lm, optimx, Rvmmin, Rcgmin, numDeriv
devtools, ggplot2, knitr, plyr, scales, testit, testthat,
xtable
RcppOctave (>= 0.11), fastICA, doMPI, bigmemory (>= 4.2),
synchronicity, corpcor, xtable, devtools, knitr, bibtex, RUnit,
mail, Biobase
CCA, glmnet, MASS, PMA, testthat (>= 0.8), roxygen2
MASS, RSQLite, arules, lattice, survival
ocedata, foreign, mapproj, ncdf4, tiff, akima, proj4,
RSQLite, DBI
RAppArmor, sendmailR, RProtoBuf (>= 0.4.2), pander
Matrix, mvtnorm, numDeriv, roxygen2 (>= 3.1), Rmpi, rpf (>=
0.36), snowfall
ggplot2 (>= 0.9.0), sp, colorspace, maptools
BradleyTerry2, prefmod, psychotree, psychotools, psychomix
genealogicalSorting (>= 0.92), phybase (>= 1.3.1), Rmpi (>=
0.6-5), xtermStyle (>= 2.2-4)
testthat (>= 0.7), devtools, httr, pkgKitten
knitr, lattice, testthat (>= 0.9.0), XML
grid, lattice, ggplot2 (>= 0.9.2), koRpus, survival,
microbenchmark, zoo, nlme, descr, MASS, knitr, tables
TH.data (>= 1.0-3), mlbench, colorspace, MASS, vcd, ipred
XML, pmml, rJava, rpart, mvtnorm, Formula (>= 1.2-1),
sandwich, strucchange, vcd, AER, mlbench, TH.data (>= 1.0-3),
coin, RWeka (>= 0.4-19), datasets, parallel, psychotools,
psychotree
PerformanceAnalytics, foreach, grid, latticeExtra, testthat,
doParallel, knitr
timereg, randomForestSRC, party, cmprsk (>= 2.2-7), rpart,
doMC, CoxBoost, crrstep, riskRegression (>= 1.0.8), lava, Hmisc
(>= 3.14-4)
car, grDevices, grid, gstat, MASS, methods, moments, pbapply,
plyr, sp, SpatialTools, spsurvey, xtable
Hmisc, MASS, quantmod, gamlss, gamlss.dist, robustbase,
quantreg, gplots
vegan (>= 2.0-0), testthat (>= 0.5), parallel
testthat, seqLogo, seqinr, xtable, flashClust, rgl, knitr
DBI, dplyr, RSQLite (>= 1.0.0), parallel, knitr, animation,
shiny, testthat, ggsubplot, rgl
devtools (>= 0.8), bibtex, RUnit, testthat, knitr,
ReportingTools, hwriter, argparse
ggplot2, Hmisc, grid, gridExtra, lattice, knitr, testthat
adehabitat, maptools, fossil, spcosa, rjson, animation,
spatstat, RCurl, rgbif, Hmisc, GSIF, uuid, intervals, reshape,
gdalUtils, snowfall, parallel
earth (>= 4.3.0), MASS, neuralnet, rpart, rpart.plot
ggthemes, knitr, testthat, stringr, ROCR
chemometrics, MASS, mixOmics, mvabund, pls, plsgenomics,
robustbase, SensoMineR
plsdepot, FactoMineR, ggplot2, reshape, testthat, knitr
MASS, plsdof, R.rsp, chemometrics, plsdepot
abind, testthat, tcltk, foreach, doParallel, itertools,
iterators
ada, amap, arules, glmnet, nnet, rattle, rpart,
randomForestSRC, randomForest, kernlab, e1071, mlbench,
pmmlTransformations
lattice, testthat, mvtnorm, statmod, rgeos, gpclib
testthat, knitr, rmarkdown, knitcitations, polysat, poweRlaw,
cowplot
fGarch, FitAR, FGN, TSA, vars, tseries, forecast, akima
quantmod, DEoptim(>= 2.2.1), iterators, fGarch, Rglpk,
quadprog, ROI (>= 0.1.0), ROI.plugin.glpk (>= 0.0.2),
ROI.plugin.quadprog (>= 0.0.2), ROI.plugin.symphony (>= 0.0.2),
pso, GenSA, corpcor, testthat, nloptr (>= 1.0.0), MASS,
robustbase
doBy, foreign, pps, reshape, sampling, samplingbook, survey
microbenchmark, tcltk, MASS, logcondens, doParallel
qtbase, RGtk2, cairoDevice, gWidgetsRGtk2, gWidgets, tcltk
foreign, reshape, plyr, stringr, ggplot2, lubridate, log4r
(>= 0.1-5), DBI, RMySQL, RSQLite, gdata, RODBC, RJDBC, xlsx,
tuneR, pixmap, data.table, RPostgreSQL, GetoptLong, whisker,
testthat
Biostrings, GOSemSim, foreach, doParallel, org.Hs.eg.db
MCMCpack, car, lmtest, sandwich, zoo, coda, vcd, mvtnorm,
mgcv
bspec, fftw (>= 1.0.3), ggplot2 (>= 0.9), knitr, multitaper,
plyr, RSEIS, rbenchmark, reshape2, testthat
GPArotation, sem, lavaan, Rcsdp, graph, Rgraphviz
koRpus, knitr, lda, proxy, stringi, SnowballC, testthat
knitr, lda, topicmodels, jsonlite (>= 0.9.10), streamR, tm
(>= 0.6), slam, ggplot2, XML, testthat, RColorBrewer
tripack, akima, MASS, survival, rgl, logspline, nor1mix,
MatrixModels, Matrix, Formula, zoo, dynlm
akima, coda, maps, maptools, MBA, parallel, shapefiles, sp,
spdep, splines
boot, splines, survival, stats, cluster, nlme, rpart, nnet,
utils
knitr, microbenchmark, pryr, testthat, ggplot2, scales
testthat, mapproj, gtable, indicspecies, Heatplus
colorspace, RColorBrewer, mvtnorm, raster, tcltk2, tcltk,
tkrplot, spam, tools, geoR, minqa, soma, optimx, nloptr, pso,
GenSA
glmnet, XML, survival, pec, prodlim, Hmisc, mlbench
rgdal (>= 0.9-1), rgeos (>= 0.3-8), ncdf, ncdf4, igraph,
tcltk, parallel, rasterVis
parallel, rgl, ggplot2, colorspace, dichromat
pmml (>= 1.2.13), bitops, colorspace, ada, amap, arules,
arulesViz, biclust, cairoDevice, cba, corrplot, descr, doBy,
dplyr, e1071, ellipse, fBasics, foreign, fpc, gdata, ggdendro,
ggplot2, gplots, graph, grid, gtools, gWidgetsRGtk2, hmeasure,
Hmisc, kernlab, Matrix, methods, mice, nnet, odfWeave, party,
playwith, plyr, psych, randomForest, RBGL, RColorBrewer,
readxl, reshape, rggobi, RGtk2Extras, ROCR, RODBC, rpart,
rpart.plot, SnowballC, stringr, survival, timeDate, tm,
verification, wskm, XML, pkgDepTools, Rgraphviz
Hmisc, EBImage (>= 4.0.0), RcellData (>= 1.3.0)
devtools, knitr, roxygen2, testthat, ggplot2
aplpack, colorspace, effects (>= 3.0-1), e1071, foreign,
grid, Hmisc, knitr, lattice, leaps, lmtest, markdown, MASS,
mgcv, multcomp (>= 0.991-2), nlme, nnet, relimp, rgl, rJava,
RODBC, sem (>= 2.1-1)
abind, aod, aplpack, car, clinfun, cmprsk, foreign, meta,
metatest, multcomp, mvtnorm, optmatch, pROC, RODBC, tableone,
XLConnect
abind, car, distr, distrEx, e1071, effects (>= 1.0-7),
foreign, grid, lattice, lmtest, MASS, mgcv, multcomp (>=
0.991-2), nlme, nnet, qcc, relimp, RODBC
knitr, rmarkdown, compute.es, ggplot2, gridExtra, scales
lme4, leaps, mvtnorm, gmodels, abind, lattice, pbkrtest, vcd,
multcomp, e1071, nnet
YaleToolkit, MASS, lattice, qgraph, maps, ade4, effects,
abind, nnet, vcd, car, gpairs, Hmisc
SnowballC, ROpenOffice, RODBC, tm.plugin.factiva (>= 1.4),
tm.plugin.lexisnexis (>= 1.1), tm.plugin.europresse (>= 1.1),
tm.plugin.alceste (>= 1.1), twitteR
RUnit, inline, rbenchmark, highlight, pkgKitten (>= 0.1.2)
XLConnect, testthat, genetics, combinat, gdata, gtools, MASS,
mvtnorm, ape (>= 2.4), adegenet
car, cluster, foreign, GPArotation, MASS, mclust, psych,
UsingR, vcd
devtools, knitr, methods, RODBC, testit, testthat (>= 0.9)
maps, lattice, latticeExtra, grid, gridExtra, sp
HistData, knitr, testthat, rgdal, base64enc
testthat, knitr, rmarkdown, dplyr, ggplot2, lintr, Hmisc,
stringr, rvest
gtools (>= 3.4.2), BatchJobs (>= 1.6), BiocParallel (>=
0.6.1)
fortunes, stringr, sos, XLConnect, reshape2, ggplot2,
foreign, lattice
roxygen2, testthat, knitr, reshape2, maps
maptools (>= 0.8-5), testthat, XML, maps, rgdal
PBSmapping, maptools, sp, rgdal, loa, RColorBrewer
agricolae, animation, CircStats, circular, cluster,
colorspace, diagram, dichromat, gplots, graph, gridBase,
gridExtra, gridSVG, grImport, gWidgets, gWidgetsRGtk2, hexbin,
Hmisc, hyperdraw, hypergraph, igraph, iplots, ipred,
latticeExtra, mapdata, maps, maptools, MASS, misc3d, munsell,
network, openair, oz, party, pixmap, playwith, plotrix, pmg,
png, quantmod, raster, Rcmdr, RColorBrewer, rgdal, rggobi, rgl,
RGraphics, Rgraphviz, scatterplot3d, soiltexture, sp,
SVGAnnotation, symbols, TeachingDemos, tools, vcd, vcdExtra,
venneuler, vrmlgen, XML
e1071, rggobi, reshape, methods, jpeg, png, tkrplot, fftw,
foreach, doSNOW
Hmisc, Biobase, genefilter, golubEsets, chemometrics
MASS, polynom, sfsmisc (>= 1.0-20), Matrix
PairViz, MASS, hexbin, RDRToolbox, vegan, RnavGraphImageData,
png, Rgraphviz
RSQLite, testthat, RColorBrewer, maptools, SSOAP, XML,
geonames
grid, MASS, lattice, boot, cluster, Matrix, robust,
fit.models, MPV, xtable, ggplot2, GGally, RColorBrewer,
reshape2, sfsmisc, catdata
grid, lattice, cluster, mclust, MASS, ellipse
RODBC, mlbench, verification, PASWR, scatterplot3d
gridExtra, knitr, onion, orientlib, testthat
knitr (>= 1.10.5), rmarkdown (>= 0.7), testthat, RNeXML,
phylobase
tkrplot, rgl, sp, geoR, RandomFields, akima, MASS, denstrip,
lattice, sm, maps, mgcv
testthat, roxygen2, ggplot2, reshape2, gridExtra, numDeriv,
knitr, mirt
fields, SDMTools, rgl, qgraph, AICcmodavg
tcltk, network, codetools, lattice, MASS, parallel, xtable,
tools
RUnit, RcppEigen, BH (>= 1.58), StanHeaders (>= 2.7.0),
parallel, KernSmooth, RCurl, loo
rgdal, tripack, colorspace, dichromat, rgl, XML
parallel, igraph, rgdal, intamap, rgeos, spacetime,
data.table, reshape2
testthat, knitr, png, stringi (>= 0.3.1)
rgdal, rworldxtra, RColorBrewer, classInt, cshapes, ncdf,
raster
GO.db, GOstats, ROCR, ape, car, eigenmodel, ergm, fdrtool,
ggplot2, huge, kernlab, lattice, mixer, network,
networkDynamic, networkTomography, ngspatial, org.Sc.sgd.db,
sna, vioplot
car, lmtest, strucchange, AER, survival, MASS, scatterplot3d
MASS, RSQLite (>= 0.4-15), oligoClasses (>= 1.1.9)
maptools, spsurvey, rgdal, rgeos, knitr, gdistance
MASS, parallel, Amelia, mice, foreign, OpenMx(>= 2.0.0),
GPArotation, mnormt
DiceDesign, randtoolbox, DiceKriging, fanovaGraph, rgl, evd,
numbers, ks, igraph, ggplot2, reshape2
datasets, tcltk, cluster, MASS, Matrix, nlme, lokern
randomNames (>= 0.0-5), parallel, SGPdata (>= 8.0-0)
xtable, xts, timeSeries, quantmod, MASS, TTR, testthat,
sandwich, knitr
datasets, Cairo (>= 1.5-5), testthat, knitr (>= 1.6),
markdown, ggplot2
ltmle, RUnit, knitr, igraph, ggplot2, Hmisc
lattice, Rmpi, Hmisc, copula, foreach, doParallel, fGarch,
robustbase
parallel, Amelia, quantreg, splines, foreign, KernSmooth,
semTools, OpenMx(>= 2.0.0), copula
coin, foreign, haven, lme4, nlme, stringdist
AICcmodavg, arm, cluster, effects, lme4, lmerTest, lmtest,
lsmeans
MASS, lattice, multcomp, car, leaps, CCA, Hmisc
rpanel, tkrplot, rgl, misc3d, akima, gam
lattice, foreign, gdata, car, dglm, gnm, MASS, npmlreg,
survival
ggplot2, VGAM, shinyjs, ggExtra, grid, gridExtra
lattice, XMLSchema, SSOAP, dismo, raster, rgdal, jsonlite,
RODBC
e1071, class, chemometrics, plyr, plotKML, mgcv, nlme,
spatstat, scales, date, lava, rgdal
kinship2, scales, Matrix, gdata, doParallel, iterators,
parallel, qqman
gdata, knitr, rmarkdown, RCurl, rjson, testthat
spacetime (>= 0.2-0), gstat, maps, maptools, mapdata,
cshapes, xts, xtable, rgdal
RColorBrewer, rgdal (>= 0.8-7), rgeos (>= 0.2-20), gstat
adehabitatLT, cshapes, diveMove, foreign, gstat (>= 1.0-16),
maps, mapdata, maptools, plm, raster, RColorBrewer, rgdal,
rgeos, RPostgreSQL, knitr, googleVis, ISOcodes
sm, maptools, gsl, locfit, spatial, rpanel, tkrplot,
RandomFields (>= 3.0.0)
formatR, knitr (>= 1.8.0), ggplot2, reshape2
parallel, spam(>= 0.13-1), RANN, RColorBrewer, lattice,
xtable, maptools (>= 0.5-4), foreign, igraph, knitr
roxygen2, testthat, knitr, taxize, maptools
BB, cmaes, DEoptim, dfoptim, DiceKriging, DoE.wrapper, e1071,
earth, fields, FrF2, GenSA, ggplot2, gtools, kernlab, lattice,
lhs, lme4, minqa, mlegp, monmlp, nloptr, neuralnet,
penalizedSVM, plotmo, pso, qrnn, rgenoud, rgp (>= 0.3-4), tgp
cluster, stringdist, RUnit, Matrix, SparseM, multtest,
Biostrings, ShortRead, golubEsets, RankProd
RH2, RMySQL, RPostgreSQL, svUnit, tcltk, MASS
Matrix, fBasics, FMStable, RUnit, Rmpfr, sfsmisc
ggplot2, gridExtra, grid, testthat, lattice
igraph, SnowballC, tm (>= 0.6), huge, clue, wordcloud,
KernSmooth, NLP, LDAvis, geometry, Rtsne
stats4, car, dynlm, e1071, foreach, lmtest, mvtnorm, tseries
arm, caret, class, e1071, earth, gam, gbm, glmnet, Hmisc,
ipred, lattice, LogicReg, MASS, mda, mlbench, nnet, parallel,
party, polspline, quadprog, randomForest, rpart, SIS, spls,
stepPlr
arm, caret, class, cvAUC, e1071, earth, gam, gbm, genefilter,
ggplot2, glmnet, Hmisc, ipred, lattice, LogicReg, MASS, mda,
mlbench, nloptr, nnet, parallel, party, polspline, quadprog,
randomForest, ROCR, rpart, SIS, spls, stepPlr, sva
parallel, grid, xts, gridExtra, lattice, colorspace, scales,
animation, msm, spc, quadprog, memoise, polyclip, rgeos,
gpclib, maptools, intervals, spdep, numDeriv, maxLik, testthat,
coda, splancs, gamlss, INLA, runjags
foreign, survival, MASS, splines, KernSmooth, hexbin,
mitools, lattice, RSQLite, RODBC, quantreg, Matrix, parallel,
CompQuadForm
gridSVG, htmltools, knitr, SVGAnnotation, XML
distr, MASS, survival, distrEx, Matrix, splines
glpkAPI (>= 1.2.8), cplexAPI (>= 1.2.4), clpAPI (>= 1.2.4),
lpSolveAPI (>= 5.5.2.0), parallel, grid
lattice, corrgram, perturb, car, vcd, abind
shiny (>= 0.6), knitr, classInt, ggplot2
xtable, grid, lattice, caTools, pspline, ggplot2, gdata,
RSQLite, data.table, stringr
gdata, fields, maps, geoR, maptools, shapefiles, spatial,
mapproj, akima, mgcv, caTools, pspline
cmaes, parallel, e1071, powell, ROCR, randomForest, rCMA,
rSFA
tkrplot, lattice, MASS, rgl, tcltk, tcltk2, R2wd, EBImage,
png, ggplot2, logspline, maptools
nlme, survival, network, ergm, lme4 (>= 1.0), gamlss
corrplot, knitr, SnowballC (>= 0.5.1), xtable
tfplot, zoo, xts, its, tis, WriteXLS(>= 1.7.0)
testthat (>= 0.8.1), evaluate, stringr, ggplot2, maps, knitr
RUnit, robustbase, xts, PerformanceAnalytics, fTrading
filehash, methods, Rcampdf, Rgraphviz, Rpoppler, SnowballC,
tm.lexicon.GeneralInquirer, XML
lasso2, lattice, lda, OAIHarvester, SnowballC, XML,
corpus.JSS.papers
TeachingDemos, ash, testthat, colorspace, ggplot2, reshape2
lattice, onion, plotrix, rgl, scatterplot3d
rgdal, rgeos, rgl, OpenStreetMap, RCurl, rjson, adehabitatLT,
xts
doParallel, foreach, testthat (>= 0.9-0)
tframePlus, TSsql, TSMySQL, TSSQLite, TSmisc, zoo
tframe, tframePlus, tfplot, TSdbi (>= 2015.1-1), TSsql (>=
2015.1-1), TSPostgreSQL (>= 2015.1-1), TSMySQL (>= 2015.4-1),
TSSQLite (>= 2015.1-1), TSodbc (>= 2015.1-1), TSsdmx, TSmisc,
TScompare (>= 2015.1-1), zoo, xts, tseries, its, WriteXLS, DBI
(>= 0.3.1), RPostgreSQL, RSQLite, RMySQL, RODBC, RJSDMX
zoo, tseries, tfplot, tframePlus, timeSeries
snowfall, desire, igraph, gsl, class, tree, e1071,
randomForest, klaR
zoo, coin, ggplot2, vcd, lubridate, aplpack
KernSmooth, mvtnorm, kernlab, HSAUR, coin
ca, gmodels, Fahrmeir, effects, VGAM, plyr, lmtest, nnet,
ggplot2, Sleuth2, car, lattice, stats4, rgl, AER
vegan, labdsv, akima, gWidgets, googleVis, indicspecies,
knitr, testthat
rgl, survival, MASS, nlme, splines, lme4, randomForest
BayesSingleSub, boot, devtools, knitr, scales, testthat
org.Hs.eg.db, org.Mm.eg.db, infotheo, entropy, minet
testthat, knitr, ggplot2, devtools, dplyr, magrittr,
AnomalyDetection, BreakoutDetection,
vegan, ccaPP, randomForest, gam, fastICA, parallel
Amelia, mvtnorm, Formula, gee, survey, survival, systemfit,
MatchIt, MCMCpack, coda
coda, chron, DAAG, fts, its, ggplot2, mondate, scales,
strucchange, timeDate, timeSeries, tis, tseries, xts
MASS, survival, testthat, knitr, moonBook
RWeka, ape, cba, cclust, flexclust, flexmix, kernlab, mclust,
movMF, modeltools
R2WinBUGS, R2OpenBUGS, BRugs, R2jags, sp, nlme
chron, timeDate, zoo, xts, its, tis, timeSeries, fts, tseries
aod, aods3, betareg, caper, coxme, cplm, gee, glmmML,
logistf, MCMCglmm, ordinal, pscl, spdep, splm, unmarked, geeM
(>= 0.7.5)
maps, RColorBrewer, pbdNCDF4 (>= 0.1-1), pmclust, MixSim,
EMCluster, sqldf, phyclust, MASS
DBI, RPostgreSQL, shiny, testthat, tools, rpart
KEGG.db, org.Hs.eg.db, org.Sc.sgd.db, org.Ag.eg.db,
org.Pt.eg.db, org.Rn.eg.db, org.Ss.eg.db, org.At.tair.db,
org.Bt.eg.db, org.Ce.eg.db, org.Cf.eg.db, org.Dm.eg.db,
org.Dr.eg.db, org.EcK12.eg.db, org.EcSakai.eg.db, org.Gg.eg.db,
org.Mm.eg.db, org.Mmu.eg.db, org.Pf.plasmo.db, org.Xl.eg.db
RPostgreSQL, RODBC, RMySQL, RSQLite, RJDBC
glmnet, lars, mboost (> 2.3-0), gamboostLSS (>= 1.2-0)
AER, betareg, brglm, censReg, dynlm, eha, erer, ergm, fGarch,
gee, glmx, gmm, lfe, lme4, lmtest, MASS, mclogit, mgcv, mlogit,
mnlogit, nlme, nnet, ordinal, plm, pscl, quantreg, rms,
relevent, robustbase, sampleSelection, spdep, survey, survival,
Zelig
AER, betareg, brglm, censReg, dynlm, eha, erer, fGarch, gee,
gmm, latentnet, lmtest, MASS, mgcv, mlogit, mnlogit, MuMIn,
nnet, ordinal, plm, pscl, quantreg, relevent, rms, robustbase,
RSiena, sampleSelection, simex, sna, spdep, stats, survey,
systemfit, tergm, xergm, Zelig
GPL (>= 2) | BSD_2_clause + file LICENSE
LGPL (>= 2.0, < 3) | Mozilla Public License
GPL-2 | GPL-3 | BSD_3_clause + file LICENSE
GPL (>= 2) | BSD_3_clause + file LICENSE
Csillery Katalin [aut],
Lemaire Louisiane [aut],
Francois Olivier [aut],
Blum Michael [aut, cre]
Michael Thrun, Jorn Lotsch, Alfred Ultsch
George Vega Yon <g.vegayon@gmail.com> [aut], Enyelbert Muñoz <enyeldoc2011@gmail.com> [ctb]
Matt Nunes [aut, cre],
Dennis Prangle [aut]
Kevin M. Middleton <middletonk@missouri.edu>, Randall Pruim
<rpruim@calvin.edu>
Tony Plate <tplate@acm.org> and Richard Heiberger
Fraser Ian Lewis [aut], Marta Pittavino [cre, ctb], Reinhard Furrer [ctb]
Yu Jiang, Cen Wu, Steve Simon, Matthew S. Mayo , Rama Raghavan, Byron J. Gajewski
Frederico Zanqueta Poleto, Julio da Mota Singer, Carlos Daniel Paulino, Fabio Mathias Correa and Enio Galinkin Jelihovschi
Phil Spector, Jerome Friedman, Robert Tibshirani, Thomas Lumley
Andrea Benedetti, Sahir Rai Bhatnagar, Xiaofei Zhao
Robert Wolpert [aut, cre],
Jacob Coleman [aut]
Maria Ortiz [aut],
Henrik Bengtsson [aut, cre, cph],
Angel Rubio [aut]
Dirk Van den Poel, Michel Ballings, Andrey Volkov, Jeroen D'haen, Michiel Van Herwegen
Nicolas Gauvrit [aut],
Henrik Singmann [aut, cre],
Fernando Soler Toscano [ctb],
Hector Zenil [ctb]
Fernando Soler Toscano [aut],
Nicolas Gauvrit [aut],
Hector Zenil [aut],
Henrik Singmann [aut, cre]
Chia-Yi Chiu (Rutgers, the State University of New Jersey) and Wenchao Ma (Rutgers, the State University of New Jersey)
William Shannon, Tao Li, Hong Xian, Jia Wang, Elena Deych,
Carlos Gonzalez
Vincent Goulet, Sébastien Auclair, Christophe Dutang, Xavier Milhaud, Tommy Ouellet, Louis-Philippe Pouliot, Mathieu Pigeon
Mark Culp, Kjell Johnson, and George Michailidis
Alfaro, Esteban; Gamez, Matias and Garcia, Noelia; with contributions from Li Guo
Manuel Wiesenfarth and Tatyana Krivobokova
Kristen Zygmunt, Eleanor Wong, Tom Fletcher
Marie Simeckova [aut], Thomas Rusch [aut], Petr Simecek [cre]
Stéphane Dray <stephane.dray@univ-lyon1.fr>, Anne-Béatrice Dufour <anne-beatrice.dufour@univ-lyon1.fr>, and Jean Thioulouse <jean.thioulouse@univ-lyon1.fr>, with contributions from Thibaut Jombart, Sandrine Pavoine, Jean R. Lobry, Sébastien Ollier, and Aurélie Siberchicot. Based on earlier work by Daniel Chessel.
Jean Thioulouse <jthioulouse@biomserv.univ-lyon1.fr>, Stephane
Dray <dray@biomserv.univ-lyon1.fr>
Thibaut Jombart, Caitlin Collins, Zhian N. Kamvar, Roman Lustrik, Peter Solymos, Ismail Ahmed, Federico Calboli, Anne Cori, Klaus Schliep
Stéphane Dray <stephane.dray@univ-lyon1.fr> and Aurélie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>, with contributions from Jean Thioulouse. Based on earlier work by Alice Julien-Laferrière.
Clement Calenge, contributions from Mathieu Basille, Stephane Dray and Scott Fortmann-Roe
Clement Calenge, contributions from Scott Fortmann-Roe
Clement Calenge, contributions from Mathieu Basille
Clement Calenge, contributions from Stephane Dray and Manuela Royer
Thibaut Jombart <t.jombart@imperial.ac.uk>, Stephane Dray <stephane.dray@univ-lyon1.fr>
Pedro Rafael Diniz Marinho [aut, cre], Marcelo Bourguignon [aut, ctb], Cicero Rafael Barros Dias [aut, ctb]
Karsten Tabelow <tabelow@wias-berlin.de>, Joerg Polzehl
<polzehl@wias-berlin.de>
Matt Nunes <m.nunes@lancs.ac.uk> Marina Knight
David Ardia, Lennart F. Hoogerheide and Herman K. van Dijk
Yifan "Ethan" Xu <ethan.yifanxu@gmail.edu>, Xiao-Feng Wang <wangx6@ccf.org>
Imanuel Costigan [aut, cre],
Australian Energy Market Operator [cph]
Christian Kleiber [aut],
Achim Zeileis [aut, cre]
Henrik Singmann [aut, cre],
Ben Bolker [aut],
Jake Westfall [aut],
Søren Højsgaard [ctb],
John Fox [ctb],
Michael A. Lawrence [ctb],
Ulf Mertens [ctb]
Francisco Balao [aut, cre],
Juan Luis García-Castaño [aut]
Sy Han (Steven) Chiou, Sangwook Kang, Jun Yan
Marek Gagolewski [aut, cre],
Anna Cena [ctb]
Niklas Hack, Werner Brannath, Matthias Brueckner
W. E. Wansouwé, S. M. Somé and C. C. Kokonendji
Fortran code by H. Akima
R port by Albrecht Gebhardt <albrecht.gebhardt@uni-klu.ac.at>
aspline function by Thomas Petzoldt <thomas.petzoldt@tu-dresden.de>
interp2xyz, enhancements and corrections by Martin Maechler <maechler@stat.math.ethz.ch>
Ravi Varadhan (with contributions from Gabor Grothendieck)
Christian E. Galarza <cgalarza88@gmail.com> and Victor H. Lachos <hlachos@ime.unicamp.br>
Luis Benites Sanchez <lsanchez@ime.usp.br>,
Victor Lachos <hlachos@ime.unicamp.br>
aLFQ: George Rosenberger, Hannes Roest, Christina Ludwig. AAindex: Barry Grant.
David Kahle [aut, cre],
Luis Garcia-Puente [aut]
Sean Downey [aut, cre],
Guowei Sun [aut]
Jose Francisco Loff, Alberto Murta, Laurence Kell
Nathan Medina-Rodriguez and Angelo Santana
Scott Chamberlain [aut, cre],
Carl Boettiger [aut],
Karthik Ram [aut],
Fenner Martin [aut]
Daniel Merl <danmerl@gmail.com>, Leah R. Johnson <lrjohnson@uchicago.edu>, Robert B. Gramacy <rbgramacy@chicagobooth.edu>, and Marc S. Mangel <msmangel@ams.ucsc.edu>
James Honaker <jhonaker@iq.harvard.edu>,
Gary King <king@harvard.edu>,
Matthew Blackwell <mblackwell@gov.harvard.edu>
Peter Hoff, Bailey Fosdick, Alex Volfovsky, Yanjun He
Manuel Castejon Limas, Joaquin B. Ordieres Mere, Ana Gonzalez
Marcos, Francisco Javier Martinez de Pison Ascacibar, Alpha V.
Pernia Espinoza, Fernando Alba Elias, Jose Maria Perez Ramos
Anja Lange [aut, cre],
Daniel Hoffmann [aut]
Patrick Mair [aut, cre], Jan De Leeuw [aut]
Gavin L. Simpson [aut, cre],
Jari Oksanen [aut]
P Lafaye de Micheaux <lafaye@dms.umontreal.ca>, J L Marchini
<marchini@stats.ox.ac.uk>
Tiago R Magalhaes, Darren J Fitzpatrick, Eoghan O'Halloran
Wand, Jonathan and Gary King, and Olivia Lau
Cristobal Fresno, Andrea S. Llera and Elmer A. Fernandez
Lijia Yu [ctb],
Weicheng Zhu [ctb],
Yihui Xie [cre, aut]
Ravi Varadhan <rvaradhan@jhmi.edu> and Stephanie Kovalchik
Royce Carroll <rcarroll@rice.edu>, Christopher Hare <chare@uga.edu>, Jeffrey B. Lewis <jblewis@ucla.edu>, James Lo <lo@uni-mannheim.de>, Keith T. Poole <ktpoole@uga.edu>, and Howard Rosenthal <hl31@nyu.edu>
Guillermo Vinue, Irene Epifanio, Amelia Simo, M. Victoria Ibanez, Juan Domingo, Guillermo Ayala
Matthieu Lesnoff <matthieu.lesnoff@cirad.fr> and Renaud
Lancelot <renaud.lancelot@cirad.fr>
Hakim-Moulay Dehbi (with contributions from Mario Cortina-Borja and Marco Geraci)
Ulrich Bodenhofer, Johannes Palme, Chrats Melkonian, Andreas Kothmeier
Emmanuel Paradis [aut, cre, cph],
Simon Blomberg [aut, cph],
Ben Bolker [aut, cph],
Julien Claude [aut, cph],
Hoa Sien Cuong [aut, cph],
Richard Desper [aut, cph],
Gilles Didier [aut, cph],
Benoit Durand [aut, cph],
Julien Dutheil [aut, cph],
Olivier Gascuel [aut, cph],
Christoph Heibl [aut, cph],
Anthony Ives [aut, cph],
Daniel Lawson [aut, cph],
Vincent Lefort [aut, cph],
Pierre Legendre [aut, cph],
Jim Lemon [aut, cph],
Rosemary McCloskey [aut, cph],
Johan Nylander [aut, cph],
Rainer Opgen-Rhein [aut, cph],
Andrei-Alin Popescu [aut, cph],
Manuela Royer-Carenzi [aut, cph],
Klaus Schliep [aut, cph],
Korbinian Strimmer [aut, cph],
Damien de Vienne [aut, cph]
Thibaut Jombart [aut, cre],
Zhian Namir Kamvar [aut],
Klaus Schliep [aut],
Rebecca Harris [aut]
Daniel Sabanes Bove <daniel.sabanesbove@ifspm.uzh.ch> with
contributions by F. D. Colavecchia, R. C. Forrey, G. Gasaneo,
N. L. J. Michel, L. F.  Shampine, M. V. Stoitsov and H. A.
Watts.
Carlos Família, Sarah R. Dennison, Alexandre Quintas, David A. Phoenix
Nicolas Bortolussi, Eric Durand, Michael Blum
<michael.blum@imag.fr>, Olivier Francois
<olivier.francois@imag.fr>
Jenise Swall, with contributions from Kristen Foley
Dylan Beaudette <debeaudette@ucdavis.edu>, Pierre Roudier <roudierp@landcareresearch.co.nz>
Andreas F. Hofmann, Karline Soetaert, Filip J.R. Meysman
S. Chakar, E. Lebarbier, C. Levy-Leduc, S. Robin
Manuel J. A. Eugster [aut, cre],
Friedrich Leisch [aut],
Sohan Seth [ctb]
Benjamin M Delory, Caroline Baudson, Yves Brostaux, Patrick du Jardin, Loic Pages, Pierre Delaplace
Przemyslaw Biecek [aut, cre],
Marcin Kosinski [aut]
Patrick Kraft [aut, cre],
Christopher Weber [ctb]
Trevor L Davis. Ports examples from the argparse Python module by the
Python Software Foundation. Ports examples from the getopt package by Allen
Day.
Andrew Gelman [aut],
Yu-Sung Su [aut, cre],
Masanao Yajima [ctb],
Jennifer Hill [ctb],
Maria Grazia Pittau [ctb],
Jouni Kerman [ctb],
Tian Zheng [ctb],
Vicent Dorie [ctb]
Henrik Bengtsson [aut, cre, cph],
James Bullard [ctb],
Kasper Hansen [ctb],
Pierre Neuvial [ctb],
Elizabeth Purdom [ctb],
Mark Robinson [ctb],
Ken Simpson [ctb]
Henrik Bengtsson [aut, cre, cph],
Pierre Neuvial [aut]
Henrik Bengtsson [aut, cre, cph],
Mark Robinson [ctb],
Ken Simpson [ctb]
James E. Pustejovsky, with contributions from Daniel M. Swan
Paulino Perez Rodriguez <perpdgo@colpos.mx> original C++ code
from Arnost Komarek based on ars.f written by P. Wild and W. R.
Gilks
Matthew Kay [aut, cre],
Jacob O. Wobbrock [aut]
Michael Hahsler [aut, cre, cph],
Christian Buchta [aut, cph],
Bettina Gruen [aut, cph],
Kurt Hornik [aut, cph],
Christian Borgelt [ctb, cph]
Christian Buchta and Michael Hahsler, with contributions from
Daniel Diaz
Karthik Ram [aut],
Karl Broman [aut, cre]
S original by David W. Scott R port by Albrecht Gebhardt
<albrecht.gebhardt@uni-klu.ac.at> adopted to recent S-PLUS by
Stephen Kaluzny <spk@insightful.com>
Julian Taylor <julian.taylor@adelaide.edu.au>, David Butler
<david.butler@daff.qld.gov.au>.
Randy Bui, Ron N. Buliung, Tarmo K. Remmel
Patrick Mair [cre, aut],
Jan De Leeuw [aut]
Il-Youp Kwak and others (See Author(s) in each function manual)
Yuedong Wang <yuedong@pstat.ucsb.edu>, and
Chunlei Ke <chunlei_ke@yahoo.com>.
Lin Wang [aut],
Wei Zhang [aut],
Qizhai Li [aut],
Weicheng Zhu [ctb]
Hongyuan Cao, Donglin Zeng, Jason P. Fine, and Shannon T. Holloway
S original by Barry W. Brown, James Lovato and Kathy Russel.
R port by Kjetil B Halvorsen <kjetil1001@gmail.com>
Asad Haris <aharis@uw.edu> and Gary Chan <kcgchan@uw.edu>
Louis Schenck, Elizabeth Atkinson, Cynthia Crowson, Terry Therneau
Eugene Dubossarsky (project leader, chief designer), Yuriy Tyshetskiy (design, implementation, testing)
Sebastian Schmidtlein, with contributions from C. Oldenburg and H. Feilhauer
and with a code snipped borrowed from Bjorn-Helge Mevik
Joerg Polzehl [aut, cre],
Felix Anker [ctb]
Robin K. S. Hankin (R) and Luke J. West (C++)
Joao Vitor Dias Monteiro <monte092@umn.edu>, Sudipto Banerjee
<baner009@umn.edu>, Gurumurthy Ramachandran <ramac002@umn.edu>
Lydia Rickett, Matthew Hartley, Richard Morris and Nick Pullen
Adam B. Olshen, Richard A. Olshen, Barry S. Taylor
Florian Meinfelder [aut, cre],
Thorsten Schnapp [aut]
Jeff Enos <jeff@kanecap.com> and David Kane <dave@kanecap.com>,
with contributions from Kyle Campbell
<kyle.w.campbell@williams.edu>, Daniel Gerlanc
<daniel@gerlanc.com>, Aaron Schwartz
<Aaron.J.Schwartz@williams.edu>, Daniel Suo
<danielsuo@gmail.com>, Alexei Colin <acolin@fas.harvard.edu>,
and Luyi Zhao <luyizhao@gmail.com>
Denis Talbot, Geneviève Lefebvre, Juli Atherton
Dan Rabosky, Mike Grundler, Pascal Title, Carlos Anderson, Jeff Shi, Joseph Brown, Huateng Huang
Zhou Lan, Yize Zhao, Jian Kang, Tianwei Yu
John W. Emerson and Walton A. Green and John A. Hartigan
Adam Kapelner and Justin Bleich (R package), see COPYRIGHTS file for the authors of the java libraries
Romain Francois, based on code by Bob Trower available at
http://base64.sourceforge.net/
Kristian Hovde Liland [aut, cre],
Bjørn-Helge Mevik [aut],
Roberto Canteri [ctb]
Keith Poole <ktpoole@uga.edu>, Howard Rosenthal
<hr31@nyu.edu>, Jeffrey Lewis <jblewis@ucla.edu>,
James Lo <jameslo@princeton.edu> and Royce Carroll
<rcarroll@rice.edu>
Fernando Colchero, Owen Jones, Maren Rebke
Pedro Cardoso, Francois Rigal, Jose Carlos Carvalho
Bernd Bischl <bernd_bischl@gmx.net>,
Michel Lang <michellang@gmail.com>,
Olaf Mersmann <olafm@p-value.net>
Bernd Bischl <bernd_bischl@gmx.net>,
Michel Lang <michellang@gmail.com>,
Henrik Bengtsson <henrikb@braju.com>
Murali Haran <mharan@stat.psu.edu> and John Hughes <hughesj@umn.edu>
Juhee Lee, Peter Mueller, Subhajit Sengupta, Kamalakar Gulukota, Yuan Ji
Nicholas G. Polson, James G. Scott, and Jesse Windle
Aldo M. Garay <medina_garay@yahoo.com>,
Monique B. Massuia <moniquemassuia@gmail.com>
Victor H. Lachos <hlachos@ime.unicamp.br>
Jose A Fioruci <jafioruci@gmail.com>, Ricardo S Ehlers <ehlers@icmc.usp.br>, Francisco Louzada <louzada@icmc.usp.br>
Richard D. Morey [aut, cre],
Jeffrey N. Rouder [aut],
Tahira Jamil [ctb]
Luz Marina Rondon <lumarp@gmail.com> and Heleno Bolfarine
Yang (Seagle) Liu [aut, cre],
Brian C. Battaile [ctb]
The code in R and guide document were prepared by Margarita Marin,
Javier Rojas, Daniel Jaimes and Hugo Andres Gutierrez Rojas, under the
direction of professor Edilberto Cepeda-Cuervo and with collaboration of
Martha Corrales, Maria Fernanda Zarate, Ricardo Duplat and Luis F
Villarraga.
Arthur White [aut, cre] (Previous email address:
arthur.white@ucdconnect.ie),
Thomas Brendan Murphy [aut, ths]
Hana Sevcikova, Adrian Raftery; original WinBugs code written by Jennifer Chunn
Michele B. Nuijten, Ruud Wetzels, Dora Matzke, Conor V. Dolan, and Eric-Jan Wagenmakers
Bettina Gruen [aut, cre],
Martyn Plummer [ctb]
Alireza S. Mahani, Mansour T.A. Sharabiani
Dries F. Benoit, Rahim Al-Hamzawi, Keming Yu, Dirk Van den Poel
Christian P. Robert, Universite Paris Dauphine, and Jean-Michel
Marin, Universite Montpellier 2
Chengchun Shi, with contributions from Peng Zhang
Evgeny Savel'ev, Alexey Miroshnikov, Erin Conlon
Hana Sevcikova (hanas@uw.edu), Leontine Alkema (alkema@nus.edu.sg), Adrian Raftery (raftery@uw.edu) with code contribution from Bailey Fosdick (bfosdick@uw.edu) and Patrick Gerland (gerland@un.org)
Fabio Mathias Correa <fmcorrea@uesc.br> and Julio Silvio de
Sousa Bueno Filho <juliobuenof@gmail.com>
Hugh Chipman <hugh.chipman@gmail.com>, Robert McCulloch
<robert.e.mcculloch@gmail.com>
Thomas Kneib, Felix Heinzl, Andreas Brezger, Daniel Sabanes Bove, Nadja Klein
Daniel Adler [aut, cre],
Thomas Kneib [aut],
Stefan Lang [aut],
Nikolaus Umlauf [aut],
Achim Zeileis [aut]
Josef C. Uyeda, Jon Eastman and Luke Harmon
Cathy W. S. Chen, Edward M.H. Lin, F.C. Liu, and Richard
Gerlach
Ravi Varadhan [aut, cph, trl],
Paul Gilbert [aut, cre],
Marcos Raydan [ctb] (with co-authors, wrote original algorithms in
fortran. These provided some guidance for implementing R code in
the BB package.),
JM Martinez [ctb] (with co-authors, wrote original algorithms in
fortran. These provided some guidance for implementing R code in
the BB package.),
EG Birgin [ctb] (with co-authors, wrote original algorithms in fortran.
These provided some guidance for implementing R code in the BB
package.),
W LaCruz [ctb] (with co-authors, wrote original algorithms in fortran.
These provided some guidance for implementing R code in the BB
package.)
Anton Gagin and Igor Levin with contributions from Charles R. Hogg III
Bernd Bischl [aut, cre],
Michel Lang [aut],
Jakob Bossek [aut],
Daniel Horn [aut],
Jakob Richter [aut]
Ben Bolker <bolker@mcmaster.ca>, R Development Core Team
Nielson, R. M., H. Sawyer, and T. L. McDonald (WEST, Inc.,
www.west-inc.com)
Sarvesh Nikumbh (BBO originally invented by Prof. Dan Simon,
Cleveland State University, Ohio)
Luca Tardella and Danilo Alunni Fegatelli
Ricardo de Matos Simoes and Frank Emmert-Streib
Aregay Mengsteab, Martin Otava, Tatsiana Khamiakova, Ewoud De Troyer
Karel Van den Meersche <karel.van_den_meersche@cirad.fr>, Karline Soetaert <karline.soetaert@nioz.nl>
Gianluca Baio, Andrea Berardi, Anna Heath
Denis Talbot, Geneviève Lefebvre, Juli Atherton.
Andrew Parnell, Thinh Doan and James Sweeney
Vahid PARTOVI NIA and Anthony C. DAVISON
Xiaofei Wang, Chandra Erdman, and John W. Emerson
Jeroen Ooms [cre, aut],
Damien Miller [cph],
Niels Provos [cph]
Guzman Santafe, Borja Calvo, Aritz Perez and Jose A. Lozano
Vijay Barve <vijay.barve@gmail.com>, Javier Otegui
<javier.otegui@gmail.com>
Shyam Ranganathan, Viktoria Spaiser, Richard P. Mann, David J.T. Sumpter
Anyiawung Chiara Forcheh, Geert Verbeke, Adetayo Kasim, Dan
Lin, Ziv Shkedy, Willem Talloen, Hinrich WH Gohlmann, Lieven
Clement.
Thoralf Mildenberger, Henrike Weinert, Sebastian Tiemeyer
Dieter William Joenssen [aut, cre, cph],
Thomas Muellerleile [ctb]
Grace Chiu <bentcable@gmail.com>,
CSIRO,
CSIT Bldg, ANU Campus, Acton, ACT 2601, Australia
Willem van Loon [aut, cph],
Dennis Walvoort [aut, cre]
Alberto Caimo [aut, cre], Nial Friel [ctb]
Andres Baselga, David Orme, Sebastien Villeger, Julien De Bortoli and Fabien Leprieur
Achim Zeileis [aut, cre],
Francisco Cribari-Neto [aut],
Bettina Gruen [aut],
Ioannis Kosmidis [aut],
Alexandre B. Simas [ctb] (earlier version by),
Andrea V. Rocha [ctb] (earlier version by)
Jan Verbesselt [aut, cre], Achim Zeileis [aut], Rob Hyndman [ctb]
Giampiero Marra, Raffaella Calabrese and Silvia Angela Osmetti
Gustavo de los Campos, Paulino Perez Rodriguez,
L. E. Nieto-Barajas and J. A. Garcia Bueno
Kwang Woo Ahn <kwooahn@mcw.edu>, Kung-Sik Chan
<kung-sik-chan@uiowa.edu>
Dirk Eddelbuettel, John W. Emerson and Michael J. Kane
Georg Luebeck <gluebeck@fhcrc.org> and Rafael Meza
<rmeza@umich.edu>
Romain Francois [aut, cre],
Kurt Hornik [ctb],
Michael Koohafkan [ctb]
Sebastian Kaiser, Rodrigo Santamaria, Tatsiana Khamiakova,
Martin Sill, Roberto Theron, Luis Quintales, Friedrich
Leisch and Ewoud De Troyer.
BIFIE [aut], Alexander Robitzsch [ctb,cre],
Konrad Oberwimmer [ctb]
Michael J. Kane, Bryan Lewis, and John W. Emerson
John W. Emerson <jayemerson@gmail.com> and Michael J. Kane
<kaneplusplus@gmail.com>
Derek Pappas <dpappas@chori.org>, Steve Mack <sjmack@chori.org>, Jill Hollenbach <Jill.Hollenbach@ucsf.edu>
Christopher Paciorek [aut, cre],
Benjamin Lipshitz [aut],
Prabhat [ctb],
Cari Kaufman [ctb],
Tina Zhuo [ctb],
Rollin Thomas [ctb]
Mark Seligman, Chris Fraley, Tim Hesterberg
Michael J. Kane <kaneplusplus@gmail.com>, John W. Emerson <jayemerson@gmail.com>, and Peter Haverty <haverty.peter@gene.com>
Aloysius Lim [aut, cre],
Leo Breiman [aut],
Adele Cutler [aut]
Hadley Wickham [aut, cre],
RStudio [cph]
Xia Shen, Moudud Alam and Lars Ronnegard
Michael J. Kane <kaneplusplus@gmail.com> and John W. Emerson <jayemerson@gmail.com>
M. Helena Gonçalves, M. Salomé Cabral and Adelchi Azzalini,
apart from a set of Fortran-77 subroutines written by R. Piessens
and E. de Doncker, belonging to the suite "Quadpack".
Stefan Mundus, Christoph Müssel, Florian Schmid, Ludwig Lausser, Tamara J. Blätte, Martin Hopfensitz, Hans A. Kestler
Friedrich Leisch and Andreas Weingessel and Kurt Hornik
Samuel V. Scarpino, Paul von Hippel, and Igor Holas
Terrence Brooks, Berkley Shands, Skye Buckner-Petty, Patricio S. La Rosa, Elena Deych, William D. Shannon
Boan Zhang, Christopher Bilder, Brad Biggerstaff, Frank
Schaarschmidt
Michael Hoehle with contributions by Wei Liu
Rune Haubo B Christensen and Merete K Hansen
Barry Grant, Xin-Qiu Yao, Lars Skjaerven, Julien Ide
Alessio Boattini and Federico C. F. Calboli; Vincente Canto Cassola together with Martin Maechler authored the function mtx.exp.
Sasha D. Hafner [aut, cre], Charlotte Rennuit [aut], Jin Mi Triolo [ctb], Ali Heidarzadeh Vazifehkhoran [ctb]
Michal Burdukiewicz [cre, aut],
Piotr Sobczyk [aut],
Chris Lauber [aut]
Paul J. McMurdie <mcmurdie@stanford.edu> and the
biom-format team http://biom-format.org/
Wilfried Thuiller, Damien Georges and Robin Engler
Matteo Re, Giorgio Valentini -- Universita' degli Studi di Milano
Franziska Hoffgaard <hoffgaard@bio.tu-darmstadt.de>, with
contributions from Philipp Weil <weil@bio.tu-darmstadt.de> and
Kay Hamacher <hamacher@bio.tu-darmstadt.de>
Julien Pele with Jean-Michel Becu, Herve Abdi, and Marie
Chabbert
Frederic Bertrand <frederic.bertrand@math.unistra.fr>, Myriam Maumy-Bertrand <myriam.maumy-bertrand@math.unistra.fr>.
Carsten F. Dormann, Jochen Fruend and Bernd Gruber, with additional code from Mariano Devoto, Jose Iriondo, Rouven Strauss and Diego Vazquez, also based on C-code developed by Nils Bluethgen, Aaron Clauset/Rouven Strauss and Miguel Rodriguez-Girones.
Ana Belen Nieto Librero<ananieto@usal.es>, Purificacion Galindo Villardon<pgalindo@usal.es>
Anthony la Grange, with some Fortran code adapted by NJ le Roux
from the original by PJ Rousseeuw, I Ruts and JW Tukey
S original by Steve Dutky <sdutky@terpalum.umd.edu> initial R
port and extensions by Martin Maechler; revised and modified
by Steve Dutky
Michael Genkin [aut], George Berry [aut], Liyuan Chen [aut], Matthew Brashears [aut]
Francisco Gochez, Richard Chandler-Mant, Suchen Jin, Jinjing Xie
Xiaolin Yang [aut, cre],
Stephen E. Fienberg [aut],
Alessandro Rinaldo [aut],
Han Liu [aut],
Michael Rosenblum [aut]
Fraenzi Korner-Nievergelt, Tobias Roth, Stefanie von Felten, Jerome Guelat, Bettina Almasi, Pius Korner-Nievergelt
Parmeet Singh Bhatia <bhatia.parmeet@gmail.com>, Serge Iovleff, Gerard
Goavert, Vincent Brault, with contributions from Christophe Biernacki and
Gilles Celeux.
Adrian Raftery <raftery@stat.washington.edu>, Jennifer Hoeting,
Chris Volinsky, Ian Painter, Ka Yee Yeung
Mihaljevic Bojan [aut, cre],
Bielza Concha [aut],
Larranaga Pedro [aut]
Nicolas Molano-Gonzalez, Marta Corrales Bossio, Maria Fernanda Zarate, Edilberto Cepeda-Cuervo.
Ernesto Barrios, Antonio Lijoi, Luis E. Nieto-Barajas and Igor Prünster. R implementation by Ernesto Barrios and Luis E. Nieto-Barajas.
Martell-Juarez, D.A. & Nieto-Barajas, L.E.
Francesco Sambo [aut, cre],
Alberto Franzin [aut]
Jincheol Park (Keimyung University, South Korea), Cenny Taslim, Shili Lin (The Ohio State University, USA)
Christoph Müssel [aut],
Martin Hopfensitz [aut],
Dao Zhou [aut],
Hans A. Kestler [aut, cre],
Armin Biere [ctb] (contributed PicoSAT code),
Troy D. Hanson [ctb] (contributed uthash macros)
Steven L. Scott is the sole author and creator of the BOOM
project.  Some code in the BOOM libraries has been modified from
other open source projects.  These include Cephes (obtained from
Netlib, written by Stephen L. Moshier), NEWUOA (M.J.D Powell,
obtained from Powell's web site), and a modified version of the R
math libraries (R core development team).  Original copyright
notices have been maintained in all source files.  In these cases,
copyright claimed by Steven L. Scott is limited to modifications
made to the original code.
c(person("Milan Hiersche", "Developer", email =
"mihi@uni-muenster.de")
Angelo Canty [aut],
Brian Ripley [aut, trl, cre] (author of parallel support)
Daniel Gerlanc <dgerlanc@enplusadvisors.com> and Kris Kirby
<kkirby@williams.edu>
Benjamin Baumgartner <benjamin@baumgrt.com>, Riccardo Gatto <gatto@stat.unibe.ch>
Florian Rohart [aut, cre], Kim-Anh Le Cao [boss], Christine Wells [boss]
S original, from StatLib, by Rob Tibshirani.  R port by
Friedrich Leisch.
Miron Bartosz Kursa [aut, cre],
Witold Remigiusz Rudnicki [aut]
José Cláudio Faria, Clarice Garcia Borges Demétrio and Ivan Bezerra Allaman
Kjell Konis <kjell.konis@me.com>,
Victor M. Panaretos <victor.panaretos@epfl.ch>.
A. Jonathan R. Godfrey [aut, cre], Greg Snow [ctb], James Curtis [ctb], Paul Murrell [ctb], Timothy Bilton [ctb], Yihui Xie [ctb]
Priyadarshana W.J.R.M. and Georgy Sofronov
Karl W Broman <kbroman@biostat.wisc.edu>, with contributions from Aimee
Teo Broman
David Robinson [aut, cre],
Matthieu Gomez [ctb],
Boris Demeshev [ctb],
Dieter Menne [ctb],
Benjamin Nutter [ctb],
Hadley Wickham [ctb]
OpenBUGS was developed by Andrew Thomas, Dave Lunn, David Spiegelhalter and Nicky Best.  R interface developed by Uwe Ligges, Sibylle Sturtz, Andrew Gelman, Gregor Gorjanc and Chris Jackson.  Linux port and most recent developments by Chris Jackson.
Ernesto Barrios based on Daniel Meyer's code.
Jari Miettinen, Klaus Nordhausen, Hannu Oja, Sara Taskinen
Carl J Schwarz <cschwarz@stat.sfu.ca> and
Simon J Bonner <simon.bonner@uky.edu>
Lukasz Dziurzynski [aut],
Edward Wadsworth [aut],
Peter Fader [ctb],
Elea McDonnell Feit [ctb],
Daniel McCarthy [aut, cre, ctb],
Bruce Hardie [ctb],
Arun Gopalakrishnan [ctb],
Eric Schwartz [ctb],
Yao Zhang [ctb]
Karline Soetaert <karline.soetaert@nioz.nl>,
Jeff Cash <j.cash@imperial.ac.uk>,
Francesca Mazzia <mazzia@dm.uniba.it>
Martin Sill, Thomas Hielscher, Manuela Zucknick, Natalia Becker.
Max Kuhn, Steve Weston, Nathan Coulter, Mark Culp. C code for C5.0 by R. Quinlan
Michael Greenacre [aut], Oleg Nenadic [aut, cre], Michael Friendly [ctb]
Benjamin Saefken and David Ruegamer, with contributions from Sonja Greven and Thomas Kneib
Simon Urbanek <Simon.Urbanek@r-project.org>, Jeffrey Horner <jeff.horner@vanderbilt.edu>
Anoop Shah [aut, cre],
Jonathan Bartlett [ctb],
Harry Hemingway [ths],
Owen Nicholas [ths],
Aroon Hingorani [ths]
Maria Ortiz [aut, ctb],
Ander Aramburu [ctb],
Henrik Bengtsson [aut, cre, cph],
Pierre Neuvial [aut, ctb],
Angel Rubio [aut, ctb]
Peter Schlattmann <peter.schlattmann@mti.uni-jena.de>, Johannes
Hoehne, Maryna Verba
Juergen Niedballa  [aut, cre],
Alexandre Courtiol  [ctb]
Michael Friendly [aut, cre], John Fox [aut]
Anna L. Tyler, Wei Lu, Justin J. Hendrick, Vivek M. Philip, and Greg W. Carter
David Orme, Rob Freckleton, Gavin Thomas, Thomas Petzoldt, Susanne Fritz, Nick Isaac, Will Pearse
Oswaldo Santos Baquero [aut, cre],
Marcos Amaku [ctb],
Fernando Ferreira [ctb]
Vincent Brault, Jean-Patrick Baudry, Cathy Maugis and Bertrand
Michel
John Fox [aut, cre],
Sanford Weisberg [aut],
Daniel Adler [ctb],
Douglas Bates [ctb],
Gabriel Baud-Bovy [ctb],
Steve Ellison [ctb],
David Firth [ctb],
Michael Friendly [ctb],
Gregor Gorjanc [ctb],
Spencer Graves [ctb],
Richard Heiberger [ctb],
Rafael Laboissiere [ctb],
Georges Monette [ctb],
Duncan Murdoch [ctb],
Henric Nilsson [ctb],
Derek Ogle [ctb],
Brian Ripley [ctb],
William Venables [ctb],
Achim Zeileis [ctb],
R-Core [ctb]
Fraenzi Korner-Nievergelt, Ivo Niermann, Oliver Behr, Matthew A. Etterson, Robert Brinkmann, Pius Korner, Barbara Hellriegel, Tobias Roth, Manuela M. P. Huso, Dan Dalthorp
Susanne Rolinski [aut], René Sachse [aut], Thomas Petzoldt [aut, cre]
Max Kuhn. Contributions from Jed Wing, Steve Weston, Andre
Williams, Chris Keefer, Allan Engelhardt, Tony Cooper, Zachary Mayer,
Brenton Kenkel, the R Core Team, Michael Benesty, Reynald Lescarbeau,
Andrew Ziem, and Luca Scrucca.
Zachary A. Mayer [aut, cre],
Jared E. Knowles [aut]
Helene Crepeau <Helene.Crepeau@mat.ulaval.ca> and Louis-Paul
Rivest <Louis-Paul.Rivest@mat.ulaval.ca> and Serge Couturier
<tuttu@videotron.ca> and Sophie Baillargeon
<Sophie.Baillargeon@mat.ulaval.ca>
Danilo Pecorino, Gina de la Fuente Mancebo, Xavier Torras
Kate Cowles and Stephen Bonett; with thanks to Juan Cervantes,
Dong Liang, Alex Sawyer, and Michael Seedorff
Kate Cowles and Michael Seedorff and Alex Sawyer
Ported to R by Ted Harding and Fernando Tusell. Original by
Joseph L. Schafer <jls@stat.psu.edu>.
Adrien Taudiere, Cyrille Violle with contribution by Francois Munoz
David Magis (U Liege, Belgium), Gilles Raiche (UQAM, Canada), Juan Ramon Barrada (U Zaragoza, Spain)
Ricardo Silva [cre, aut],
Robin Evans [aut]
Adam Glynn <aglynn@iq.harvard.edu>, Kevin Quinn
<kquinn@law.berkeley.edu>
Justin Hemann, David Barker, Suzanne Weller, Jason McFall
Christian Fong <christianfong@stanford.edu>, Marc Ratkovic <ratkovic@princeton.edu>, Kosuke Imai <kimai@princeton.edu>
Seppo Virtanen [aut, cre],
Eemeli Leppaaho [aut],
Arto Klami [aut]
Andreas Alfons [aut, cre],
David Simcha [ctb]
Bernhard Pfaff [aut, cre],
Lieven Vandenberghe [cph] (copyright holder of cvxopt),
Martin Andersen [cph] (copyright holder of cvxopt),
Joachim Dahl [cph] (copyright holder of cvxopt)
Josep Lluis Carrasco <jlcarrasco@ub.edu>, Josep Puig Martinez
<j.puig04@gmail.com>
Evgenia Dimitriadou [aut],
Kurt Hornik [ctb, cre]
Baptiste Auguie [aut, cre],
LAPACK authors [cph] (copyrights apply to src/zgels.f)
Canhong Wen, Wenliang Pan, Mian Huang, and Xueqin Wang
Mathieu Vrac <mathieu.vrac@lsce.ipsl.fr> and Paul-Antoine
Michelangeli <pam@climpact.com>
Edward Grant, Kenneth Lange, Tong Tong Wu
Alexander Robitzsch [aut, cre], Thomas Kiefer [aut],
Ann Cathrice George [aut], Ali Uenlue [aut]
Ulf Schepsmeier, Eike Christian Brechmann
Konrad Kamieniecki [aut, cre], Przemyslaw Spurek [ctb]
Yasser Gonzalez-Fernandez [aut, cre],
Marta Soto [aut]
Mauricio Zambrano-Bigiarini [aut, cre], Yasser Gonzalez-Fernandez [aut]
Jennifer Bryan [cre, aut],
Hadley Wickham [ctb]
Katharine M. Mullen, Michael Halter, John Lu and Nathan Dodder
Iacus, Stefano M., King, Gary, Porro, Giuseppe
Monique Bettio Massuia <moniquemassuia@gmail.com>,
Larissa Avila Matos <larissaam@ime.unicamp.br>
and Victor Lachos <hlachos@ime.unicamp.br>
A.I. McLeod, Nagham M. Mohammad, Justin Veenstra and Abdel El-Shaarawi
Tim Benham and Qibin Duan and Dirk P. Kroese and Benoit Liquet
Christopher G. Green [aut, cre],
R. Doug Martin [ths]
Stefan Funke <s.funke@t-online.de> with contributions from
Patrick Mair <patrick.mair@wu-wien.ac.at>, Alexander von Eye
<voneye@msu.edu> (fCFA, kvCFA) and Joachim Harloff
<joachimharloff@joachimharloff.de>
Mansour T.A. Sharabiani, Alireza S. Mahani
Bill Pikounis [aut, cre, cph], John Oleynick [aut], Eva Ye [ctb]
Yuan-chin I. Chang, Yu-chia Chang, and Ling-wan Chen
Nicholas Austin Johnson <nickaj@stanford.edu>, Robert
Tibshirani <tibs@stat.stanford.edu>, Pei Wang
<pwang@fhcrc.org>.
Franck Picard, Mark Hoebeke, Emilie Lebarbier, Vincent Miele,
Guillem Rigaill, Stephane Robin
Markus Gesmann [aut, cre],
Daniel Murphy [aut],
Wayne Zhang [aut],
Alessandro Carrato [aut],
Giuseppe Crupi [aut],
Christophe Dutang [ctb],
Arnaud Lacoume [ctb],
Arthur Charpentier [ctb],
Mario Wuthrich [aut],
Fabio Concina [aut]
Rebecca Killick [aut, cre],
Kaylea Haynes [aut],
Idris Eckley [aut],
Paul Fearnhead [ctb],
Jamie Lee [ctr]
Simen Gaure, Ragnar Frisch Centre for Economic Research, Oslo, Norway
Michel Lang <michellang@gmail.com>,
Bernd Bischl <bernd_bischl@gmx.net>
Lawrence Hudson with contributions from Dan Reuman and Rob Emerson
Alexandre Perera-Lluna and Andrey Ziyatdinov
Bryan A. Hanson DePauw University, Greencastle Indiana USA
Stefan Roediger [cre, aut],
Michal Burdukiewicz [aut],
Konstantin A. Blagodatskikh [ctb]
Ryan Sermas, assisted by John V. Colias, Ph.D.
<DecisionAnalystR@decisionanalyst.com>
Ari Lamstein <arilamstein@gmail.com>[cre, aut],
Brian P Johnson <brian@pjohnson.info> [ctb, frontend animation code]
David James [aut] (S original),
Kurt Hornik [aut, trl, cre],
Gabor Grothendieck [ctb]
Samrachana Adhikari [aut],
Beau Dabbs [cre, aut],
Brian Junker [aut],
Mauricio Sadinle [aut],
Tracy Sweet [aut],
A.C. Thomas [aut]
Xi (Rossi) LUO with contributions from Dylan Small, Chiang-shan Li, and Paul Rosenbaum
Aurelie Siberchicot, Adrien Merville, Marie-Claude Bel-Venner and Samuel Venner
Juan Jose Fernandez-Duran and Maria Mercedes Gregorio-Dominguez
Azade Ghazanfarihesari, Majid Sarmad- Ferdowsi University Of Mashhad
S-plus original by Ulric Lund <ulund@calpoly.edu>, R port by
Claudio Agostinelli <claudio@unive.it>
Ulric Lund <ulund@calpoly.edu>, Claudio Agostinelli <claudio@unive.it>
Laetitia Marisa, Aurelien de Reynies, Mickael Guedj
Anton Strezhnev, Elissa Berwick, Jens Hainmueller, Daniel Hopkins, Teppei Yamamoto
Brian Ripley [aut, cre, cph],
William Venables [cph]
Martin Maechler partly based on code from Robert Gentleman
Roger Bivand [aut, cre],
Hisaji Ono [ctb],
Richard Dunlap [ctb],
Matthieu Stigler [ctb]
Eleni Chatzimichali <ea.chatzimichali@gmail.com> and Conrad Bessant <c.bessant@qmul.ac.uk>
Emanuele Eccel, Emanuele Cordano, Giambattista Toller
David Bronaugh <bronaugh@uvic.ca> for the Pacific Climate Impacts
Consortium
T. Tony Cai, Weidong Liu and Xi (Rossi) Luo
Gabor Csardi [aut, cre],
Sindre Sorhus [aut]
Christian Panse <cp@fgcz.ethz.ch>, Ermir Qeli <ermir.qeli@gmail.com>
Kurt Hornik [aut, cre],
Walter Böhm [ctb]
Fang Chang <changf@mathstat.yorku.ca>, Vincent Carey
<stvjc@channing.harvard.edu>, Weiliang Qiu
<stwxq@channing.harvard.edu>, Ruben H. Zamar
<ruben@stat.ubc.ca>, Ross Lazarus
<ross.lazarus@channing.harvard.edu>, Xiaogang Wang
<stevenw@mathstat.yorku.ca>
Martin Maechler [aut, cre],
Peter Rousseeuw [aut] (Fortran original),
Anja Struyf [aut] (S original),
Mia Hubert [aut] (S original),
Kurt Hornik [trl, ctb] (port to R; maintenance(1999-2000)),
Matthias Studer [ctb],
Pierre Roudier [ctb]
Bernard Desgraupes (University of Paris Ouest - Lab Modal'X)
Jose A. Castellanos-Garzon <jantonio_cu@ieee.org>, Fernando
Diaz <fdiaz@infor.uva.es>
Weiliang Qiu <stwxq@channing.harvard.edu>, Harry Joe
<harry@stat.ubc.ca>.
Tibor Szkaliczki [aut, cre],
J. Song [ctb]
Nicholas G. Reich <nick@schoolph.umass.edu>, Daniel Obeng <dobeng@gmail.com>
Amy Kapp <Amy_Kapp@hotmail.com> and Rob Tibshirani
<robert.tibshirani@stanford.edu>
Marek Walesiak <marek.walesiak@ue.wroc.pl> Andrzej Dudek <andrzej.dudek@ue.wroc.pl>
Amaury Labenne, Marie Chavent, Vanessa Kuentz-Simonet and Jerome Saracco
Marie Chavent and Vanessa Kuentz and Benoit Liquet and Jerome Saracco
Angelos Markos [aut, cre],
Alfonso Iodice D' Enza [aut],
Michel Van de Velden [aut]
Douglas Whitaker <whitaker@ufl.edu> and Mary Christman
<mcxman@ufl.edu>
Nema Dean, Adrian E. Raftery, and Luca Scrucca
Guy Brock <guy.brock@louisville.edu>, Vasyl Pihur <vasyl.pihur@louisville.edu>,
Susmita Datta <susmita.datta@louisville.edu>, and
Somnath Datta <somnath.datta@louisville.edu>
Heike Trautmann <trautmann@statistik.tu-dortmund.de> and Olaf
Mersmann <olafm@statistik.tu-dortmund.de> and David Arnu
<david.arnu@statistik.tu-dortmund.de>
Kimberly Sellers <kfs7@georgetown.edu> ; Luis Costa <lc436@georgetown.edu>
Ambuehl, Mathias, Michael Baumgartner, Ruedi Epple, Alexis Kauffmann and Alrik Thiem
Ana Belen Nieto Librero <ananieto@usal.es>, Priscila Willems
<pwillems@bariloche.inta.gov.ar>, Purificacion Galindo
Villardon <pgalindo@usal.es>
Paul Staab [aut, cre, cph],
Dirk Metzler [ths]
Nicholas G. Reich <nick@schoolph.umass.edu>, Justin Lessler
<jlessler@jhsph.edu>, Andrew Azman <andrewazman@gmail.com>
Pin T. Ng <Pin.Ng@nau.edu> and Martin Maechler
Francesca Marta Lilja Di Lascio, Simone Giannerini
Original Matlab routines by C.J.F. ter Braak and A.P. Schaffers. R port by Gavin L. Simpson.
Function simpls based on simpls.fit (package pls) by Ron Wehrens and Bjorn-Helge Mevik.
Martyn Plummer [aut, cre, trl],
Nicky Best [aut],
Kate Cowles [aut],
Karen Vines [aut],
Deepayan Sarkar [aut],
Douglas Bates [aut],
Russell Almond [aut]
Yann Richet, Xavier Bay, Olivier Jacquet, Alexis Jinaphanh
Guillaume Guenard and Pierre Legendre, with contributions from Bertrand Pages
Gavin L. Simpson [aut, cre],
Jari Oksanen [ctb],
Francisco Rodriguez-Sanchez [ctb]
Torsten Hothorn [aut, cre],
Kurt Hornik [aut],
Mark A. van de Wiel [aut],
Achim Zeileis [aut]
M. Helena Gonçalves and M. Salomé Cabral,
apart from a set of Fortran-77 subroutines written by R. Piessens
and E. de Doncker, belonging to the suite "Quadpack".
Giles Hooker <gjh27@cornell.edu>,
Luo Xiao <lx42@cornell.edu>,
James Ramsay <ramsay@psych.mcgill.ca>
Chris Wallace [aut, cre],
Claudia Giambartolomei [aut],
Vincent Plagnol [ctb]
Lee, S., Shen, H., Truong, Y. and Zanini, P.
Ross Ihaka [aut],
Paul Murrell [aut],
Kurt Hornik [aut],
Jason C. Fisher [aut],
Achim Zeileis [aut, cre]
Mohamed Laib, Imane Rezgui, Zebida Gheribi-Aoulmi and Herve Monod
Max Leiserson [aut, cre],
Hsin-Ta Wu [aut],
Fabio Vandin [ctb],
Vivian Hsiao [ctb],
Benjamin Raphael [ctb]
Kornelius Rohmeyer (R package), see COPYRIGHTS file for the authors of the java libraries
Jeroen Ooms [aut, cre],
John MacFarlane [cph] (Author of cmark)
Albert Chen [aut, cre], Timothy E Sweeney [aut], Olivier Gevaert [ths]
J. Malia Andrus, Timothy Kuehlhorn, Luis F. Rodriguez, Angela D. Kent, and Julie L. Zilles
Ana C. Braga with contributions from Hugo Frade and Sara Carvalho
Christina Heinze <heinze@stat.math.ethz.ch>,
Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>
Isaac Subirana, Joan Vila, Héctor Sanz, Gavin Lucas, Judith Peñafiel
and David Giménez
Umesh K. Nandal <u.k.nandal@amc.uva.nl> and Perry D. Moerland
<p.d.moerland@amc.uva.nl>
Kimberly Sellers <kfs7@georgetown.edu>, Thomas Lotze <thomas.lotze@thomaslotze.com>
K. Gerald van den Boogaart <boogaart@hzdr.de>,
Raimon Tolosana, Matevz Bren
Bozidar V. Popovic, Saralees Nadarajah, Miroslav M. Ristic
Simone Padoan[aut, cre] <simone.padoan@unibocconi.it>, Moreno Bevilacqua[aut] <moreno.bevilacqua@uv.cl>
W. E. Wansouwé, F. G. Libengué and C. C. Kokonendji
Georg Heinze, Meinhard Ploner, Daniela Dunkler
S original by Alessandra R. Brazzale <alessandra.brazzale@unipd.it>.
R port by Alessandra R. Brazzale <alessandra.brazzale@unipd.it>, following
earlier work by Douglas Bates.
Sang-Yun Oh <syoh@lbl.gov>, Joong-Ho Won <wonj@stats.snu.ac.kr>
Willem M. G. M. van Loon [aut, cph],
Dennis J. J. Walvoort [aut, cre]
Joerg-Henrik Heine, R.W. Alexandrowicz (function stirling_cfa() )
and some package testing by Mark Stemmler
Andrzej Bak <andrzej.bak@ue.wroc.pl>, Tomasz Bartlomowicz
<tomasz.bartlomowicz@ue.wroc.pl>
Antonio D'Ambrosio <antdambr@unina.it>, Sonia Amodio <sonia.amodio@unina.it>
Max Kuhn, contributions from Steve Weston, Jed Wing,
James Forester and Thorn Thaler
Bill J. Gray (www.projectpluto.com/calendar) and Thomas Lumley
P. Lafaye de Micheaux <lafaye@dms.umontreal.ca>, B. Liquet <Benoit.Liquet@isped.u-bordeaux2.fr>.
Daniel M. Griffith, Joseph A. Veech, and Charles J. Marsh
Tyler Shimko <TShimko126@gmail.com>, Erik Andersen
<erik.andersen@northwestern.edu>
Emily Goren <emily.goren@gmail.com> and John Hughes <hughesj@umn.edu>
Marius Hofert <marius.hofert@uwaterloo.ca>,
Ivan Kojadinovic <ivan.kojadinovic@univ-pau.fr>,
Martin Maechler <maechler@stat.math.ethz.ch>, and
Jun Yan <jun.yan@uconn.edu>
Marko Robnik-Sikonja and Petr Savicky with contributions from John Adeyanju Alao
Jeremy M. Beaulieu <jbeaulieu@nimbios.org>, Jeffrey C. Oliver <jeffreycoliver@gmail.com>, Brian O'Meara <bomeara@utk.edu>
Juliane Sch\"afer, Rainer Opgen-Rhein, Verena Zuber, Miika Ahdesm\"aki,
A. Pedro Duarte Silva, and Korbinian Strimmer.
Clement THERY [aut, cre],
Christophe BIERNACKI [ctb],
Gaetan LORIDANT [ctb],
Florian WATRIN [ctb],
Quentin GRIMONPREZ [ctb],
Vincent KUBICKI [ctb],
Samuel BLANCK [ctb],
Jeremie KELLNER [ctb]
Pascal van Kooten <kootenpv@gmail.com>,
Gerko Vink <g.vink@uu.nl>
Wim Van der Elst, Geert Molenberghs, Dieter Hilgers, & Nicole Heussen
Rafael S. de Souza, Alberto Krone-Martins, Jonathan Elliott, Joseph
Hilbe
Hao Helen Zhang <hzhang@math.arizona.edu> and Chen-Yen Lin
<clin5@ncsu.edu>
Aurelie Bertrand <aurelie.bertrand@uclouvain.be> and Christian
M.  Hafner <christian.hafner@uclouvain.be>
Naisyin Wang <nwangaa@umich.edu> and Adrian Raftery
<raftery@uw.edu> with contributions from Chris Fraley
<fraley@uw.edu>
Richard Lockhart, Jon Taylor, Ryan Tibshirani, Rob Tibshirani
Claus O. Wilke [aut, cre],
Hadley Wickham [cph]
R by Meinhard Ploner, Fortran by Georg Heinze
R by Meinhard Ploner, Georg Heinze, Daniela Dunkler, Fortran by Georg Heinze
Tadeusz Bednarski <t.bednarski@prawo.uni.wroc.pl>, Filip
Borowicz <f.borowicz@prawo.uni.wroc.pl>
Quentin Giai Gianetto, Florence Combes, Yohann Couté, Christophe Bruley, Thomas Burger
Alessandro Bellino and Daniela Baldantoni
Andrey Ziyatdinov [aut, cre],
Samir Kanaan-Izquierdo [aut],
Nickolay T. Trendafilov [aut],
Alexandre Perera-Lluna [aut]
Qianxing Mo, Mithat Gonen and Glenn Heller
Rihong Hui and Hanna Jankowski <hkj@mathstat.yorku.ca>
Oscar A. Linares [aut, cre],
David T. Daly [aut]
Jeremie Riou, Amadou Diakite, and Benoit Liquet
Francesco Bartolucci (University of Perugia), Claudia Pigini (University of Ancona "Politecnica delle Marche")
Emil A. Cornea, Bahjat F. Qaqish, and Joseph G. Ibrahim
Jakob Messner [aut, cre],
Achim Zeileis [aut]
Bertrand Le Nezet [cre, aut, cph],
Richard Brent [ctb, cph],
John Burkardt [ctb, cph]
Michael Porter [aut, cre],
Brian Reich [aut]
Ruth Heller <ruheller@post.tau.ac.il>, Dylan Small
<dsmall@wharton.upenn.edu>, Paul Rosenbaum
<rosenbap@wharton.upenn.edu>
Kevin Jakob, Dr. Matthias Fischer & Stefan Kolb
Moreno I. Coco and Rick Dale with contributions of James D. Dixon and John Nash
Jeffrey S. Racine [aut, cre],
Zhenghua Nie [aut],
Brian D. Ripley [ctb] (stepCV.R)
Annick Joelle Nembot-Simo, Jinko Graham and Brad McNeney
S original by Alessandra R. Brazzale <alessandra.brazzale@unipd.it>.
R port by Alessandra R. Brazzale <alessandra.brazzale@unipd.it>.
Meng Li, Ana-Maria Staicu, and Howard D. Bondell
Nils B. Weidmann <nils.weidmann@uni-konstanz.de>, Kristian
Skrede Gleditsch <ksg@essex.ac.uk>
Alejandro Jara [aut, cre], Maria Jose Garcia-Zattera [ctb]
Shai Shen-Orr, Rob Tibshirani, Narasimhan Balasubramanian,
David Wang
Fortran original by G. Tunnicliffe-Wilson and Zhu Wang, R port by Zhu Wang with contribution from John Nash, Netlib and NAG authors
Achim Zeileis [aut, cre],
Kurt Hornik [aut]
C code by Steven G. Johnson, R by Balasubramanian Narasimhan
Wei-Chen Chen [aut, cre],
Russell Zaretzki [aut],
William Howell [aut],
Drew Schmidt [aut],
Michael Gilchrist [aut],
Students REU13 [ctb]
Max Kuhn, Steve Weston, Chris Keefer, Nathan Coulter. C code for Cubist by Ross Quinlan
Adelino Ferreira da Silva <afs@fct.unl.pt>
Xuan Liu <liuxuan@bu.edu> and Qiong Yang <qyang@bu.edu>
Jeroen Ooms [cre, aut],
Hadley Wickham [ctb],
RStudio [cph]
Eva Janousova, Tomas Pavlik, Jiri Mayer, Ladislav Dusek
George Luta <gl77@georgetown.edu>, Ulrike Naumann <u-naumann@web.de>
and Matt Wand <matt.wand@uts.edu.au>
Lingbing Feng, Gen Nowak, Alan. H. Welsh, Terry. J. O'Neill
Erin LeDell, Maya Petersen, Mark van der Laan
Donghoh Kim <donghoh.kim@gmail.com>, Hee-Seok Oh
<heeseok@stats.snu.ac.kr>
Eric C. Chi, Genevera I. Allen, Richard G. Baraniuk
Christian W. Hoffmann <christian@echoffmann.ch>
<http://www.echoffmann.ch>
Gianluca Bontempi, Catharina Olsen, Maxime Flauder
Joe Cheng [aut, cre],
Tal Galili [aut],
RStudio, Inc. [cph],
Michael Bostock [ctb, cph] (D3.js library),
Justin Palmer [ctb, cph] (d3.tip library)
Paul Fitzpatrick [aut] (JavaScript original,
http://paulfitz.github.io/daff/),
Edwin de Jonge [aut, cre] (R wrapper)
Sergej Potapov, Werner Adler, Benjamin Hofner and Berthold Lausen.
Rampal S. Etienne, Luis M. Valente & Albert B. Phillimore
Ali Uenlue [aut, cre], Anatol Sargin [aut]
Brecht Devleesschauwer [aut, cre], Scott McDonald [aut],
Juanita Haagsma [aut], Nicolas Praet [aut], Arie Havelaar [aut],
Niko Speybroeck [aut]
Dave Armstrong (UW-Milwaukee, Department of Political Science)
Artur Manukyan, Ahmet Sedef, Erhan Cene, Ibrahim Demir (Advisor)
Yurii Aulchenko, Stepan Yakovenko, Erik Roos, Marcel Kempenaar, Maksim
Struchalin, Lennart C. Karssen
"Simon, Reinhard (CIP)" <R.SIMON@CGIAR.ORG>, Jose Francisco Loff <jfloff at phistat.com>
Madhav Kumar <madhavkumar2005@gmail.com> and Shreyes Upadhyay
<shreyes.upadhyay@gmail.com>
Robert Hirsch [aut],
Laura DeCicco [aut, cre],
David Lorenz [aut]
M Dowle, T Short, S Lianoglou, A Srinivasan with contributions from R Saporta, E Antonyan
Terry Therneau [aut],
Thomas Lumley [trl] (R port),
Kjetil Halvorsen [trl] (R port),
Kurt Hornik [trl, ctb, cre] (R port)
David Conde, Miguel A. Fernandez, Bonifacio Salvador
Hugh Chipman <hugh.chipman@gmail.com>, Robert McCulloch <robert.mcculloch1@gmail.com>, Vincent Dorie <vjd4@nyu.edu>
Dason Kurkiewicz, Heike Hofmann, Ulrike Genschel
Lori A. Shepherd <las65@buffalo.edu>Albert Vexler <avexler@buffalo.edu>Jeffrey C. Miecznikowski <jcm38@buffalo.edu>
Lori A. Shepherd <las65@buffalo.edu>, Wan-Min Tsai
<wan-min.tsai@yale.edu>, Albert Vexler <avexler@buffalo.edu>,
Jeffrey C. Miecznikowski <jcm38@buffalo.edu>
R Special Interest Group on Databases (R-SIG-DB)
Angelo Mazza [aut, cre],
Antonio Punzo [aut]
Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech
Michael Hahsler [aut, cre, cph],
Sunil Arya [ctb, cph],
David Mount [ctb, cph]
Boj, Eva <evaboj@ub.edu>, Caballe, Adria <adria.caballe@upc.edu>, Delicado, Pedro <pedro.delicado@upc.edu> and Fortiana, Josep <fortiana@ub.edu>.
Brandon Whitcher [aut, cre],
Volker Schmid [aut],
Andrew Thornton [ctb]
Jing Yang, Hui Yu, Bao-Hong Liu, Zhongming Zhao, Lei Liu, Liang-Xiao Ma, Yi-Xue Li, Yuan-Yuan Li
Maria Dolores Martinez-Miranda, Jens Perch Nielsen and Richard Verrall
Virgilio Gómez-Rubio, Juan Ferrándiz-Ferragud and Antonio
López-Quílez, with contributions by Roger Bivand.
c( person("Diane", family="Losardo", email='dlosardo@amplify.com",
role = c("aut", "cre", "cph")), person("Margi", family="Dubal",
email='margidubal@gmail.com", role = c("aut", "cre", "cph")))
Zongshan Li with contributions from Jinlong Zhang
Oleksii Pokotylo [aut, cre],
Pavlo Mozharovskyi [aut],
Rainer Dyckerhoff [aut]
person("Niall", "McGearailt", role = c("aut", "cre"),email = "niall@dukeanalytics.com")
Efthimios Motakis [aut],
Guy Nason [aut, cre],
Piotr Fryzlewicz [aut]
Przemyslaw Biecek (R code), Teresa Ledwina (support,
descriptions)
Susanne Gammelgaard Bottcher, Claus Dethlefsen.
Julien Stirnemann, Adeline Samson, Fabienne Comte. Contribution
from Claire Lacour.
Lutz Göhring [cre, aut] (ICRAF and Lutz Göhring Consulting),
Eike Luedeling [aut] (ICRAF)
Bastiaan Quast [aut, cre],
Fei Wang [aut],
Victor Kummritz [aut]
Ian Fellows with contributions from others (see documentation).
Alberto Mirisola, Ian Fellows and Helios De Rosario-Martinez
Ian Fellows and Alex Rickett with contributions from Neal
Fultz.
Alex Rickett and Ian Fellows, with contributions from Neal Fultz
Mark van der Loo, Edwin de Jonge, and Sander
Scholtus
Jussi Klemela [aut, cre],
Sauli Herrala [ctb]
David Magis (U Liege), Bruno Facon (Univ Lille-Nord de France)
Philipp Kraemer [aut, cre],
Gabriele Gerlach [aut]
Alexander Jueterbock, Philipp Kraemer, Gabriele Gerlach and Jana Deppermann
Sten Ilmjarv [aut, cre],
Hendrik Luuk [aut]
Rob J Hyndman with contributions from Heather Booth, Leonie Tickle and John Maindonald.
Tal Galili [aut, cre, cph] (http://www.r-statistics.com),
Gavin Simpson [ctb],
Gregory Jefferis [ctb] (imported code from his dendroextras package),
Marco Gallotta [ctb] (a.k.a: marcog),
Johan Renaudie [ctb] (https://github.com/plannapus),
The R Core Team [ctb] (Thanks for the Infastructure, and code in the
examples),
Kurt Hornik [ctb],
Uwe Ligges [ctb],
Andrej-Nikolai Spiess [ctb],
Steve Horvath [ctb],
Peter Langfelder [ctb],
skullkey [ctb],
Mark Van Der Loo [ctb] (https://github.com/markvanderloo d3dendrogram),
Andrie de Vries [ctb] (ggdendro author),
Zuguang Gu [ctb] (circlize author),
Yoav Benjamini [ths]
Tal Galili [aut, cre, cph] (http://www.r-statistics.com),
Romain Francois [ctb],
Dirk Eddelbuettel [ctb],
Kevin Ushey [ctb],
Yoav Benjamini [ths]
James Ware [aut, cre],
Jason Homsy [ctb],
Kaitlin Samocha [ctb]
Nelo Magalhães (Univ. Paris Sud 11 - INRIA team Select) and Yves Rozenholc (Univ. Paris Descartes - INRIA team Select)
David Ardia [aut],
Katharine Mullen [aut, cre],
Brian Peterson [aut],
Joshua Ulrich [aut],
Kris Boudt [ctb]
Eduardo L. T. Conceicao and Martin Maechler [ctb]
Ingmar Visser <i.visser@uva.nl>, Maarten Speekenbrink <m.speekenbrink@ucl.ac.uk>
Maxime Genest <maxime.genest@clevislauzon.qc.ca>, Jean-Claude
Masse <jcmasse@mat.ulaval.ca>, Jean-Francois Plante
<jfplante@hec.ca>.
Daniel Kosiorowski, Mateusz Bocian, Anna Wegrzynkiewicz and Zygmunt
Zawadzki from Cracow University of Economics.
Sara Lopez-Pintado <sl2929@columbia.edu> and Aurora Torrente
<etorrent@est-econ.uc3m.es>.
Andrew Clausen [aut],
Serguei Sokol [aut, cre]
Jakson Aquino. Includes R source code and/or documentation
written by Dirk Enzmann, Marc Schwartz, Nitin Jain, and Stefan
Kraft
Hadley Wickham <hadley@rice.edu>,
Di Cook <dicook@iastate.edu>,
Andreas Buja <buja@wharton.upenn.edu>,
Barret Schloerke <bigbear@iastate.edu>
Andri Signorell. Includes R source code and/or documentation previously published by (in alphabetical order): Ken Aho, Nanina Anderegg, Tomas Aragon, Antti Arppe, Adrian Baddeley, Ben Bolker, Frederico Caeiro, Stephane Champely, Daniel Chessel, Leanne Chhay, Clint Cummins, Michael Dewey, Harold C. Doran, Stephane Dray, Charles Dupont, Jeff Enos, Claus Ekstrom, Martin Elff, Richard W. Farebrother, John Fox, Michael Friendly, Tal Galili, Matthias Gamer, Joseph L. Gastwirth, Yulia R. Gel, Juergen Gross, Gabor Grothendieck, Frank E. Harrell Jr, Michael Hoehle, Christian W. Hoffmann, Torsten Hothorn, Markus Huerzeler, Wallace W. Hui, Pete Hurd, Rob J. Hyndman, Pablo J. Villacorta Iglesias, Matthias Kohl, Mikko Korpela, Max Kuhn, Detlew Labes, Friederich Leisch, Jim Lemon, Dong Li, Martin Maechler, Arni Magnusson, Daniel Malter, George Marsaglia, John Marsaglia, Alina Matei, David Meyer, Weiwen Miao, Giovanni Millo, Yongyi Min, David Mitchell, Markus Naepflin, Daniel Navarro, Klaus Nordhausen, Derek Ogle, Hong Ooi, Nick Parsons, Sandrine Pavoine, Roland Rapold, William Revelle, Tyler Rinker, Brian D. Ripley, Caroline Rodriguez, Venkatraman E. Seshan, Greg Snow, Michael Smithson, Werner A. Stahel, Mark Stevenson, Yves Tille, Adrian Trapletti, Kevin Ushey, Jeremy VanDerWal, Bill Venables, John Verzani, Gregory R. Warnes, Stefan Wellek, Rand R. Wilcox, Peter Wolf, Daniel Wollschlaeger, Thomas Yee, Achim Zeileis
Yang Li <yang.li@rug.nl>, Morris Swertz <m.a.swertz@rug.nl>,
Gonzalo Vera <gonzalo.vera.rodriguez@gmail.com>, Rainer
Breitling <r.breitling@rug.nl>, Ritsert Jansen
<r.c.jansen@rug.nl>
Heike Trautmann, Detlef Steuer and Olaf Mersmann
Karline Soetaert [aut],
Thomas Petzoldt [aut, cre],
R. Woodrow Setzer [aut],
odepack authors [cph]
Arnak Dalalyan [aut], Samuel Balmand [aut, cre]
Peter Solymos, Monica Moreno, Subhash R Lele
Karline Soetaert [aut, cre],
Jeff Cash [aut],
Francesca Mazzia [aut],
LAPACK authors [cph]
Vakili Kaveh [aut, cre],
Mia Hubert [ths]
Original by Jay L. Devore, modifications by Douglas Bates
<bates@stat.wisc.edu>, modifications  for 7th edition by John Verzani.
Hadley Wickham [aut, cre],
Winston Chang [aut],
RStudio [cph],
R Core team [ctb] (Some namespace and vignette code extracted from base
R)
Marie-Karelle Riviere and Jacques-Henri Jourdan
Victor H. Cervantes <vcervantes@icfes.gov.co, vhcervantesb@unal.edu.co>
Ravi Varadhan, Johns Hopkins University, and Hans W. Borchers,
ABB Corporate Research.
James Johndrow, Kristian Lum, and Patrick Ball
Peter K Dunn <pdunn2@usc.edu.au> and Gordon K Smyth
Alba Martinez-Ruiz <amartine@ucsc.cl> and Claudia Martinez-Araneda <cmartinez@ucsc.cl>
Taylor B. Arnold, John W. Emerson, R Core Team and contributors
worldwide
Knut Sveidqvist [aut, cph] (mermaid.js library in htmlwidgets/lib,
http://github.com/knsv/mermaid/),
Mike Bostock [aut, cph] (d3.js library in htmlwidgets/lib,
http://d3js.org),
Chris Pettitt [aut, cph] (dagre-d3.js library in htmlwidgets/lib,
http://github.com/cpettitt/dagre-d3),
Mike Daines [aut, cph] (viz.js library in htmlwidgets/lib,
http://github.com/mdaines/viz.js/),
Richard Iannone [aut, cre] (R interface)
Jessica Franco, Delphine Dupuy, Olivier Roustant, Guillaume
Damblin and Bertrand Iooss.
Olivier Roustant, David Ginsbourger, Yves Deville. Contributors: Clement Chevalier, Yann Richet.
D. Ginsbourger, V. Picheny, O. Roustant, with contributions by
C. Chevalier,  S. Marmin, and T. Wagner
Yann Richet, Yves Deville, Clement Chevalier
Thomas Lumley [aut, cre], Ken Knoblauch [ctb], Scott Waichler
[ctb], Achim Zeileis [ctb]
Baptiste Auguie [aut, cre] (the original data have their original
source listed in the help file.)
Robert Gilmore Pontius Jr. <rpontius@clarku.edu>, Alí Santacruz <asantacruzdelgado@clarku.edu>
P.L. Davies, U. Gather, M. Meise, D.Mergel, T. Mildenberger. Additional Code by T. Bernholt and T. Hofmeister
David Magis (U Liege), Sebastien Beland (UQAM) and Gilles Raiche (UQAM)
Dirk Eddelbuettel <edd@debian.org> with contributions
by Antoine Lucas, Jarek Tuszynski, Henrik Bengtsson, Simon Urbanek,
Mario Frasca, Bryan Lewis, Murray Stokely, Hannes Muehleisen,
Duncan Murdoch, Jim Hester and Wush Wu.
Ross Dwyer, Emily Best and Anne Goldizen
Cenny Taslim <taslim.2@osu.edu>, with contributions from  Dustin Potter, Abbasali Khalili and Shili Lin <shili@stat.osu.edu>.
Vonn Walter, Andrew B. Nobel, and Fred A. Wright
Martin Maechler (originally from Fortran and S-plus by Dario Ringach, NYU.edu)
Audrey Qiuyan Fu, Steven Russell, Sarah J. Bray and Simon
Tavare
W. E. Wansouwé, C. C. Kokonendji and D. T. Kolyang
Mikkel Meyer Andersen and Poul Svante Eriksen
Alessandro Barbiero, Riccardo Inchingolo, Mario Samigli
Alessandro Barbiero <alessandro.barbiero@unimi.it>, Riccardo Inchingolo <riccardo.arner@libero.it>
Ruth Heller [aut], Hadas Gur [aut], Shay Yaacoby [aut, cre]
Andreas Buja [aut],
Eric Hare [aut, cre],
Heike Hofmann [aut]
J. Mark Rowland, Clifford Qualls, and Christian Gunning
Gaston Sanchez [aut, cre],
Charles Determan [ctb]
Robert J. Hijmans, Steven Phillips, John Leathwick and Jane Elith
Derek Beaton [aut, com, ctb], Cherise Chin Fatt [ctb], Herve Abdi [aut, cre]
Balasubramanian Narasimhan [aut, cre],
Marina Bendersky [aut],
Sam Gross [aut],
Terry M. Therneau [ctb],
Thomas Lumley [ctb]
Florian Camphausen [aut],
Matthias Kohl [aut, cph],
Peter Ruckdeschel [cre, cph],
Thomas Stabla [aut, cph],
R Core Team [ctb, cph] (for source file ks.c/ routines 'pKS2' and
'pKolmogorov2x')
Florian Camphausen [ctb] (contributed as student to the documented
packages in the initial phase --2005),
Matthias Kohl [aut, cph],
Peter Ruckdeschel [cre, cph],
Thomas Stabla [ctb] (contributed as student to the documented packages
in the initial phase --2005)
Matthias Kohl, Peter Ruckdeschel, Nataliya Horbenko
Nataliya Horbenko, Matthias Kohl, Daria Pupashenko, Myhailo Pupashenko, Peter
Ruckdeschel
Florian Camphausen, Matthias Kohl, Peter Ruckdeschel, Thomas Stabla
Peter Ruckdeschel, Matthias Kohl, Anja Hueller, Eleonara Feist
Daniel Laydon, Aaron Sim, Charles Bangham, Becca Asquith
Richard G. FitzJohn <fitzjohn@zoology.ubc.ca>, with GeoSSE and
ClaSSE by Emma E. Goldberg <eeg@uic.edu>, and BiSSE-ness by Karen
Magnuson-Ford.
David A. Swan <dswan@fhcrc.org> with contributions from Craig A
Magaret <cmagaret@fhcrc.org> and Matthew M Cousins
<matthew.m.cousins@gmail.com>
Maciej Pietrzak, Michal Seweryn, Grzegorz Rempala
Marcelino de la Cruz Rot and Philip M. Dixon
Giovanni Petris <GPetris@uark.edu>.
Original C code for ARMS by Wally Gilks.
Tyler H. McCormick, Adrian Raftery, David Madigan
Aleksandra Maj, Agnieszka Prochenka, Piotr Pokarowski
Torben Tvedebrink <tvede@math.aau.dk> and James Curran <j.curran@auckland.ac.nz>. Mikkel Meyer Andersen <mikl@math.aau.dk> assisted on the multicore/CPU implementation.
Zhilong Jia [aut, cre],
Xiang Zhang [aut]
Charles Doss, Vladimir Minin, Marc Suchard
Søren Højsgaard <sorenh@math.aau.dk> and Ulrich Halekoh <uhalekoh@health.sdu.dk> with contributions from Jim Robison-Cox, Kevin Wright, Alessandro A. Leidi and others.
Jean-Baptiste Denis <Jean-Baptiste.Denis@jouy.inra.fr>, Regis Pouillot <RPouillot@yahoo.fr>, Kien Kieu <Kien.Kieu@jouy.inra.fr>
Ulrike Groemping [aut, cre],
Boyko Amarov [ctb],
Hongquan Xu [ctb]
Ulrike Groemping [aut, cre],
Lenth Russ [ctb]
Konstanze Krueger [aut],
Knut Krueger [cre, aut]
Bjoern Bornkamp, Jose Pinheiro, Frank Bretz
Frederick Solt <frederick-solt@uiowa.edu>, Yue Hu <yue-hu-1@uiowa.edu>
M.L. Gamiz, E. Mammen, M.D. Martinez-Miranda and J.P. Nielsen
Michal Burdukiewicz [cre, aut],
Stefan Roediger [aut],
Bart Jacobs [aut],
Piotr Sobczyk [ctb]
Andy Bunn [aut, cph, cre, trl], Mikko Korpela [aut, trl], Franco Biondi [aut, cph], Filipe Campelo [aut, cph], Pierre Mérian [aut, cph], Fares Qeadan [aut, cph], Christian Zang [aut, cph], Allan Buras [ctb], Jacob Cecile [ctb], Manfred Mudelsee [ctb], Michael Schulz [ctb]
Hadley Wickham [aut, cre],
Romain Francois [aut],
RStudio [cph]
Alejandro Jara [aut, cre], Timothy Hanson [ctb], Fernando
Quintana [ctb], Peter Mueller [ctb], Gary Rosner [ctb]
Christian Ritz <ritz@bioassay.dk>, Jens C. Strebig <streibig@bioassay.dk>
Johan Zetterqvist <johan.zetterqvist@ki.se> , Arvid Sjölander <arvid.sjolander@ki.se> with contributions from Alexander Ploner.
Matthias Bannert [aut, cre], Ulf-Dietrich Reips [aut]
Greg Hixon [aut, cph],
Anne Bichteler [aut, cre],
Chad Thompson [ctb],
Liz Abraham [ctb]
Chel Hee Lee [aut, cre],
Liqun Wang [aut]
Ravi Varadhan <rvaradhan@jhmi.edu> and Wenliang Yao <yaow080@gmail.com>
Ingo Feinerer [aut],
Stefan Theussl [aut, cre],
Christian Buchta [ctb]
David L. Miller, Eric Rexstad, Louise Burt, Mark V. Bravington,
Sharon Hedley.
Peter Mayer, Denis Larocque, Matthias Schmid
Yihui Xie [aut, cre],
Joe Cheng [ctb],
jQuery contributors [ctb, cph] (jQuery in htmlwidgets/lib),
SpryMedia Limited [ctb, cph] (DataTables in htmlwidgets/lib),
Brian Reavis [ctb, cph] (selectize.js in htmlwidgets/lib),
Leon Gersen [ctb, cph] (noUiSlider in htmlwidgets/lib),
Bartek Szopka [ctb, cph] (jquery.highlight.js in htmlwidgets/lib),
RStudio Inc [cph]
Carla Moreira, Jacobo de Uña-Álvarez and Rosa Crujeiras
Karsten Tabelow [aut, cre],
Joerg Polzehl [aut],
Felix Anker [ctb]
Xinyu Tang [aut, cre],
Maria Melguizo [aut]
Jose G. Clavel, Shizuiko Nishisato and Antonio Pita
Daniel Wollschlaeger [aut, cre],
Heiko Karle [aut],
Heinz Schmidberger [ctb]
Dan Vanderkam [aut, cph] (dygraphs library in htmlwidgets/lib,
http://dygraphs.com/),
JJ Allaire [aut, cre] (R interface),
RStudio [cph],
jQuery Foundation [cph] (jQuery library),
jQuery contributors [ctb, cph] (jQuery library; authors listed in
inst/htmlwidgets/lib/jquery/AUTHORS.txt)
Lei ZHANG, Hao JIANG and Chen XUE(Equally contributed, the order is
decided by the time the author joined the project. )
Peter Langfelder <Peter.Langfelder@gmail.com> and Bin Zhang <binzhang.ucla@gmail.com>,
with contributions from Steve Horvath <SHorvath@mednet.ucla.edu>
Peter Metcalfe, based on Fortran code by Keith Beven and Jim Freer
Robert B. Gramacy <rbgramacy@chicagobooth.edu> and Matt A. Taddy <taddy@chicagobooth.edu>
Yves Rozenholc (MAP5, Univ. Paris Descartes), Christophe Pouzat (MAP5, Univ. Paris Descartes) and Tiffany Lieury (Cerebral Physiology lab, Univ. Paris Descartes)
Joel Dubin, Dandi Qiao, Hans-Georg Mueller.
Amirhossein Jalali, Alberto Alvarez-Iglesias, John Newell
Manuela Schreyer <manuelalarissa.schreyer@sbg.ac.at> and Wolfgang Trutschnig <Wolfgang.Trutschnig@sbg.ac.at>
Christopher Gandrud [aut, cre],
Laron K. Williams [aut],
Guy D. Whitten [aut]
Xiaojing Wang <wangxj03@gmail.com>,
Jun Yan <jun.yan@uconn.edu>, and
Ming-Hui Chen <ming-hui.chen@uconn.edu>
S. T. Holloway, E. B. Laber, K. A. Linn, B. Zhang, M. Davidian, and A. A. Tsiatis
David Meyer [aut, cre],
Evgenia Dimitriadou [aut, cph],
Kurt Hornik [aut],
Andreas Weingessel [aut],
Friedrich Leisch [aut],
Chih-Chung Chang [ctb, cph] (libsvm C++-code),
Chih-Chen Lin [ctb, cph] (libsvm C++-code)
Carlos Fonseca, Luis Paquete, Thomas Stützle, Manuel López-Ibáñez and Marco Chiarandini.
Vasilis Dakos <vasilis.dakos@gmail.com>, with contributions from S.R.
Carpenter, T. Cline, L. Lahti
Stephen Milborrow.  Derived from mda:mars by Trevor Hastie and
Rob Tibshirani.  Uses Alan Miller's Fortran utilities
with Thomas Lumley's leaps wrapper.
Franck Jabot, Thierry Faure, Nicolas Dumoullin
Na You <youn@mail.sysu.edu.cn> and Gongyi Huang<huanggyi@mail2.sysu.edu.cn>
Jacob M. Montgomery, Florian Hollenbach, and Michael D. Ward
Marcelino de la Cruz Rot, with contributions of Philip M. Dixon and Jose M. Blanco-Moreno
Kosuke Imai <kimai@princeton.edu>,
Ying Lu <yl46@nyu.edu>,
Aaron B Strauss <aaronbstrauss@gmail.com>.
Leandro Roser, Juan Vilardi, Beatriz Saidman and Laura Ferreyra
Fuka DR, Walter MT, Archibald JA, Steenhuis TS, and Easton ZM
Karline Soetaert <karline.soetaert@nioz.nl>, Peter MJ Herman <peter.herman@nioz.nl>
Daniel McGlinn [aut, cre],
Ethan White [aut]
Nick Gotelli [aut],
Edmund Hart [aut, cre],
Aaron Ellison [aut]
Olivier Broennimann <olivier.broennimann@unil.ch> and
Blaise Petitpierre <bpetitpierre@gmail.com> and
Christophe Randin <christophe.randin@wsl.ch> and
Robin Engler <robin.engler@isb-sib.ch> and
Valeria Di Cola <valeria.dicola@unil.ch> and
Frank Breiner <frank.breiner@wsl.ch> and
Manuela D`Amen<manuela.damen@unil.ch> and
Loic Pellissier <loic.pellissier@unifr.ch> and
Julien Pottier <julien.pottier@clermont.inra.fr> and
Dorothea Pio <dorothea.pio@fauna-flora.org> and
Ruben Garcia Mateo <rubeng.mateo@gmail.com> and
Wim Hordijk <wim@WorldWideWanderings.net> and
Anne Dubuis <anne.dubuis@gmail.com> and
Daniel Scherrer <daniel.scherrer@unil.ch> and
Nicolas Salamin <nicolas.salamin@unil.ch> and
Antoine Guisan <antoine.guisan@unil.ch>
J. Guitton, M. Colleter, P. Gatti, and D. Gascuel
Nele Schuwirth <nele.schuwirth@eawag.ch> and Peter Reichert <peter.reichert@eawag.ch>
with contributions by Simone Langhans
Alexandre Adalardo de Oliveira and Paulo Inacio Prado <ecovirtualpackage@gmail.com>
Quanli Wang, Hang J. Kim, Jerome P. Reiter, Lawrence H. Cox and Alan F. Karr
Sheng Li [aut, cre, cph],
Francine Garrett-Bakelman [ctb],
Altuna Akalin [ctb],
Paul Zumbo [ctb],
Ari Melnick [ctb],
Chris Mason [ctb, ths]
Raphaël Coudret, Benoît Liquet and Jérôme Saracco
Murilo Coutinho Silva (University of Brasilia, Brazil), George Freitas von Borries (University of Brasilia, Brazil)
Jason P. Becker [ctb],
Jared E. Knowles [aut, cre]
Andrew Zammit-Mangion [aut, cre],
Hsin-Cheng Huang [aut]
Axel Mayer [aut, cre],
Lisa Dietzfelbinger [ctb]
John Fox [aut, cre],
Sanford Weisberg [aut],
Michael Friendly [aut],
Jangman Hong [aut],
Robert Andersen [ctb],
David Firth [ctb],
Steve Taylor [ctb]
Wim Van der Elst, Ariel Alonso & Geert Molenberghs
Michaela Paul [aut], Reinhard Furrer [cre, ctb]
Robert Hirsch [aut],
Laura DeCicco [aut, cre]
James J. Yang, Jia Li, Anne Buu, and L. Keoki Williams
Olivia Lau <olivia.lau@post.harvard.edu>, Ryan T. Moore
<rtm@wustl.edu>, Michael Kellermann <kellerm@post.harvard.edu>
Mehmet Hakan Satman (PhD), Erkin Diyarbakirlioglu (PhD)
Edmunds Cers <edmunds.cers@gmail.com>, Janis Valeinis <valeinis@lu.lv>
Hui Zou <hzou@stat.umn.edu> and Trevor Hastie
<hastie@stanford.edu>
Material from the book's webpage, R port and packaging by
Kjetil B Halvorsen
Duncan Murdoch <murdoch@stats.uwo.ca> and E. D. Chow (porting
to R by Jesus M. Frias Celayeta <iosu@bureau.ucc.ie>)
Julien Tomas, Frederic Planchet, Wassim Youssef
Nicolas Servant, Eleonore Gravier, Pierre Gestraud, Cecile Laurent, Caroline Paccard, Anne Biton, Jonas Mandel, Bernard Asselain, Emmanuel Barillot, Philippe Hupe
Joan Garriga, John R.B. Palmer, Aitana Oltra, Frederic Bartumeus
Wei-Chen Chen [aut, cre],
Ranjan Maitra [aut],
Volodymyr Melnykov [aut]
Simon Urbanek <urbanek@research.att.com>, Yossi Rubner
Christofer Backlin [aut, cre],
Mats Gustafsson [aut]
Kosuke Imai <kimai@princeton.edu>, James Lo <jameslo@princeton.edu>, Jonathan Olmsted <jpolmsted@gmail.com>
Laura Villanova <laura.villanova@monash.edu>, Kate Smith-Miles
<kate.smith-miles@monash.edu> and Rob J Hyndman
<rob.hyndman@monash.edu>.
Cristian Bravo, Seppe vanden Broucke and Thomas Verbraken
Mai Zhou. (Art Owen for el.test(). Yifan Yang for C code.)
William H. Barton <williamhbarton1@gmail.com> under the supervision of Dr. Mai Zhou <mai@ms.uky.edu>
M.K. Lau, S.R. Borrett, D.E. Hines, P. Singh
Yuki Shiraito <shiraito@princeton.edu>, Kosuke Imai <kimai@princeton.edu>
R port by Douglas Bates <bates@stat.wisc.edu> and Karen A.F.
Copeland <karen@boulderstats.com>
Fernando Canovas, Chiara Magliozzi, Jose Antonio Palazon-Ferrando, Frederico Mestre, Mercedes Gonzalez-Wanguemert
Robert Muscarella, Peter J. Galante, Mariano Soley-Guardia, Robert A. Boria, Jamie M. Kass, Maria Uriarte and Robert P. Anderson
Nan Xiao <road2stat@gmail.com>, Dong-Sheng Cao <oriental-cds@163.com>,
Qing-Song Xu <dasongxu@gmail.com>
Fournier Gwenaelle, Cadoret Marine, Fournier Olivier, Le Poder
Francois, Bouche Jerome, Le Sebastien
Chris Fraley, Adrian E. Raftery, J. McLean Sloughter, Tilmann
Gneiting, University of Washington.
RA Yuen, Tilmann Gneiting, Thordis Thorarinsdottir, Chris
Fraley
Lijuan Cao <lcao@jcsu.edu> and Michael Grabchak <mgrabcha@uncc.edu>
Kai Wang, Charles A. Phillips, Arnold M. Saxton and Michael A. Langston
Nhu Le, Jim Zidek, Rick White, and Davor Cubranic, with
Fortran code for Sampson-Guttorp estimation authored by Paul D.
Sampson, Peter Guttorp, Wendy Meiring, and Catherine Hurley, and
Runge-Kutta-Fehlberg method implementation by H.A. Watts and L.F. Shampine.
Bendix Carstensen [aut, cre],
Martyn Plummer [aut],
Esa Laara [ctb],
Michael Hills [ctb]
Matthew Branan, Marta Remmenga, Lori Gustafson, Jennifer Hoeting
Maria Noremark [aut],
Stefan Widgren [aut, cre]
Oswaldo Santos Baquero [aut, cre],
Fernando Silveira Marques [aut]
Samuel Jenness [cre, aut],
Steven M. Goodreau [aut],
Martina Morris [aut],
Emily Beylerian [ctb],
Li Wang [ctb]
Chris Groendyke [aut, cre],
David Welch [aut],
David Hunter [ctb]
Mark Stevenson <mark.stevenson1@unimelb.edu.au> with contributions from Telmo Nunes, Cord Heuer, Jonathon Marshall, Javier Sanchez, Ron Thornton, Jeno Reiczigel, Jim Robison-Cox, Paola Sebastiani, Peter Solymos, Kazuki Yoshida and Simon Firestone
Sam Buttrey, Johannes Royset, and Roger Wets, based on
the Matlab code of Royset and Wets
Tomas J. Aragon Developer [aut, cre], Michael P. Fay User
[ctb], Daniel Wollschlaeger User [ctb]
Rebecka Jornsten, Tobias Abenius, Sven Nelander
Yi Yang <yiyang@umn.edu>, Hui Zou <hzou@stat.umn.edu>
Mark S. Handcock [aut],
David R. Hunter [aut],
Carter T. Butts [aut],
Steven M. Goodreau [aut],
Pavel N. Krivitsky [aut, cre],
Martina Morris [aut],
Li Wang [ctb],
Kirk Li [ctb]
Pavel N. Krivitsky [aut, cre],
Mark S. Handcock [ctb],
David R. Hunter [ctb]
Omer Nebil Yaveroglu [aut, cre],
Sean M. Fitzhugh [aut],
Maciej Kurant [aut],
Athina Markopoulou [aut],
Natasa Przulj [aut],
Carter T. Butts [aut]
Mark S. Handcock [aut],
David R. Hunter [aut],
Carter T. Butts [aut],
Steven M. Goodreau [aut],
Pavel N. Krivitsky [aut, cre],
Martina Morris [aut]
Patrick Mair [cre, aut],
Reinhold Hatzinger [aut],
Marco J. Maier [aut],
Thomas Rusch [ctb]
David Causeur (Agrocampus, Rennes, France) and Ching-Fan Sheu (National Cheng-Kung University, Tainan, Taiwan)
Art B. Owen [aut],
Jingshu Wang [aut, cre]
Jean-Charles Croix, Thierry Moudiki, Frédéric Planchet, Wassim
Youssef
Jean-Charles Croix, Thierry Moudiki, Frederic Planchet, Wassim Youssef
Felix Kaminsky <fkamins@uni-goettingen.de>, inspired by the
estout package for Stata.
Abdollah Jalilian <jalilian@razi.ac.ir>, based on Fortran code
by Jiancang Zhuang
Marcello Chiodi [aut, cre],
Giada Adelfio [aut]
Ashis Saha, with contribution from Jaewoo Kang
Lahti Leo [aut, cre],
Biecek Przemyslaw [aut],
Kainu Markus [aut],
Huovari Janne [aut]
Hadley Wickham [aut],
Yihui Xie [cre, ctb],
Barret Schloerke [ctb]
Danlu Guo <danlu.guo@adelaide.edu.au>, Seth Westra <swestra@civeng.adelaide.edu.au>
Alec Stephenson. Function fbvpot by Chris Ferro.
Ajay Shah, Vimal Balasubramaniam, Vikram Bahure
Bernhard Pfaff [aut, cre], Alexander McNeil [aut] (S original
(EVIS)), Alec Stephenson [trl] (R port of EVIS)
Carl Scarrott and Yang Hu, University of Canterbury
Ana Paula Assis, Diogo Melo, Edgar Zanella, Fabio Machado, Guilherme Garcia
B G Manjunath and Frederico Caeiro; guidance from Prof. M. Ivette Gomes and Prof. M. Isabel Fraga Alves
Thomas Grubinger [aut, cre],
Achim Zeileis [aut],
Karl-Peter Pfeiffer [aut]
Guogen Shan <guogen.shan@unlv.edu>, Weizhen Wang
<weizhen.wang@wright.edu>
Torsten Hothorn [aut, cre],
Kurt Hornik [aut]
Achim Zeileis [aut, cre],
Bettina Gruen [aut],
Friedrich Leisch [aut],
Nikolaus Umlauf [aut],
Dominik Ernst [ctb]
Gregory Demin <excel.link.feedback@gmail.com>. To comply CRAN policy includes source code from 'RDCOMClient' (http://www.omegahat.org/RDCOMClient) by Duncan Temple Lang <duncan@wald.ucdavis.edu>.
Bryan Hanson [aut, cre],
Kristina Mulry [ctb]
David Bolin <davidbolin@gmail.com> and Finn Lindgren <finn.lindgren@gmail.com>
Eric Batista Ferreira, Portya Piscitelli Cavalcanti, Denismar
Alves Nogueira
Eric Batista Ferreira, Pórtya Piscitelli Cavalcanti, Denismar
Alves Nogueira
Fabian Sobotka <fabian.sobotka@wiwi.uni-goettingen.de>,
Sabine Schnabel <sabine.schnabel@wur.nl>
and Linda Schulze Waltrup <lschulze_waltrup@stat.uni-muenchen.de>
with contributions from
Paul Eilers <p.eilers@erasmusmc.nl>,
Thomas Kneib <tkneib@uni-goettingen.de>
and Goeran Kauermann <goeran.kauermann@stat.uni-muenchen.de>.
Mathieu Pigeon, Michel Jacques, Vincent Goulet
Vincent Goulet, Christophe Dutang, Martin Maechler,
David Firth, Marina Shapira, Michael Stadelmann,
expm-developers@lists.R-forge.R-project.org
Roger B. Sidje [aut, cph], Niels Richard Hansen [aut, cre, cph]
Derek Beaton, Cherise R. Chin Fatt, Herve Abdi
Gabriel E Leventhal, partly adapted from MATLAB code by Awad H. Al-Mohy and using the routines DLNAC1 and DLARPC by Sheung Hun Cheng, and DLAPST from ScaLAPACK.
Alexey Novikov, Ruslan Pusev, Maxim Yakovlev
Reinhard Simon [aut, cre] (CIP),
David M. Spooner [aut] (USDA),
International Potato Center [cph]
Haizhen Wu <h.wu2@massey.ac.nz>,
A. Jonathan R. Godfrey <A.J.Godfrey@massey.ac.nz>,
Kondaswamy Govindaraju <k.govindaraju@massey.ac.nz>,
Sarah Pirikahu <s.pirikahu@massey.ac.nz>
Dean Langan, Alexander Sutton, Julian PT Higgins, Walter
Gregory
B N Mandal <mandal.stat@gmail.com> and Jun Ma <jun.ma@mq.edu.au>
Mark van der Loo <mark.vanderloo@gmail.com>
Campo Elias Pardo <cepardot@unal.edu.co>, Pedro Cesar del Campo
<pcdelcampon@unal.edu.co> and Camilo Jose Torres
<cjtorresj@unal.edu.co>, with the contributions from Ivan Diaz
<ildiazm@unal.edu.co>, Mauricio Sadinle
<msadinleg@unal.edu.co>.
Francois Husson, Julie Josse, Sebastien Le, Jeremy Mazet
Dave Armstrong (Department of Political Science, UW-Milwaukee)
Pauline Vaissie, Astrid Monge, Francois Husson
Ray Baser [aut, cre],
Ayelet Greenberg [ctb]
Emeline Perthame (Agrocampus Ouest, Rennes, France), Chloe Friguet
(Universite de Bretagne Sud, Vannes, France) and David Causeur (Agrocampus
Ouest, Rennes, France)
Faisal Afzal Siddiqui, Ghulam Hussain, and Mudassir Uddin
David Causeur, Chloe Friguet, Magalie Houee-Bigot, Maela Kloareg
Kei Hirose, Michio Yamamoto, Haruhisa Nagata
Jana Fruth, Thomas Muehlenstaedt, Olivier Roustant, Malte Jastrow
Michael C. J. Kao <michael.kao@fao.org>, Markus Gesmann, Filippo Gheri
Damon Julien <julien.damon@gmail.com>
Guillas Serge
Diethelm Wuertz and many others, see the SOURCE file
Rmetrics Core Team,
Diethelm Wuertz [aut],
Tobias Setz [cre],
Yohan Chalabi [ctb]
Haotian Pang, Han Liu and Robert Vanderbei
Piercesare Secchi, Simone Vantini, and Paolo Zanini
J L Marchini <marchini@stats.ox.ac.uk>, C Heaton
<chrisheaton99@yahoo.com> and B D Ripley
<ripley@stats.ox.ac.uk>
Lutz Duembgen, Klaus Nordhausen, Heike Schuhmacher
Dayne Batten [aut, cre],
Maja Pohar Perme [ctb],
Mette Gerster [ctb]
Simon Urbanek <Simon.Urbanek@r-project.org>, Jeffrey Horner <jeffrey.horner@gmail.com>
Stefan Kloessner <S.Kloessner@mx.uni-saarland.de>, Sven Wagner
<sven.wagner@mx.uni-saarland.de>
Alexandre BUREAU <alexandre.bureau@msp.ulaval.ca> and Jordie Croteau
<jordie.croteau@crulrg.ulaval.ca>
Oliver Keyes [aut, cre], Alex Bellos [cph]
Davide Altomare, Guido Consonni and Luca La Rocca
Adrian Andronache <adi.andronache@gmail.com>, Luca Agnelli
<luca.agnelli@gmail.com>
Yang Feng, Richard J. Samworth and Yi Yu
Rmetrics Core Team,
Diethelm Wuertz [aut],
Tobias Setz [cre]
Yohan Chalabi [ctb]
Etienne Laliberté, Pierre Legendre, Bill Shipley
J. O. Ramsay <ramsay@psych.mcgill.ca>, Hadley Wickham
<h.wickham@gmail.com>, Spencer Graves
<spencer.graves@prodsyse.com>, Giles Hooker <gjh27@cornell.edu>
Alice Parodi, Mirco Patriarca, Laura Sangalli, Piercesare Secchi, Simone Vantini, Valeria Vitelli
Manuel Febrero Bande [aut],
Manuel Oviedo de la Fuente [aut, cre],
Pedro Galeano [ctb],
Alicia Nieto [ctb],
Eduardo Garcia-Portugues [ctb]
Xiongzhi Chen and R.W. Doerge <doerge@purdue.edu>
James G. Scott, with contributions from Rob Kass and Jesse Windle
José Cláudio Faria, Enio G. Jelihovschi and Ivan B. Allaman
Tarn Duong <tarn.duong@gmail.com> & Matt Wand <Matt.Wand@uts.edu.au>
Wush Wu [aut, cre],
Michael Benesty [aut, ctb]
Ravi Varadhan, Johns Hopkins University, and MKG Subramaniam,
AT&T Reserach Labs.
Ali Uenlue [aut, cre], Thomas Kiefer [aut, trl] (Based on
original MATLAB source by Ehtibar N.  Dzhafarov.)
R. Kyle Bocinsky <bocinsky@gmail.com>
Dylan Beaudette <Dylan.Beaudette@ca.usda.gov>
Samuel Soubeyrand, Cindy E. Morris, E. Keith Bigg
Daniel Adler <dadler@uni-goettingen.de>,
Christian Gläser <christian_glaeser@gmx.de>,
Oleg Nenadic <onenadi@uni-goettingen.de>,
Jens Oehlschlägel <Jens.Oehlschlaegel@truecluster.com>,
Walter Zucchini <wzucchi@uni-goettingen.de>
Edwin de Jonge, Jan Wijffels, Jan van der Laan
Sebastian Krey <skrey@statistik.tu-dortmund.de> Uwe Ligges
<ligges@statistik.tu-dortmund.de> Olaf Mersmann
<olafm@statistik.tu-dortmund.de>
Diethelm Wuertz and Yohan Chalabi with contribution from Michal
Miklovic, Chris Boudt, Pierre Chausse and others
Douglas Nychka [aut, cre], Reinhard Furrer [aut], Stephan Sain [aut]
Alexandre Brouste <Alexandre.Brouste@univ-lemans.fr>,
Sophie Lambert-Lacroix <Sophie.Lambert@imag.fr>.
Peter Carl, Brian G. Peterson, Garrett See
Bingpei Wu & Jiajun He & Sijie Chen & Yangyang Liu
Naoki Egami <naoki.egami5@gmail.com>, Marc Ratkovic <ratkovic@princeton.edu>, Kosuke Imai <kimai@princeton.edu>,
Nicholas Lange, Tom Fletcher, Kristen Zygmunt
Benjamin Baumgartner [aut, cre],
Riccardo Gatto [ctb, ths]
Yoli Shavit, Fiona Kathryn Hamey and Pietro Lio'
A.I. McLeod, Ying Zhang and Changjiang Xu
Cory Nissen <corynissen@gmail.com> [aut, cre]
Marie Laure Delignette-Muller [aut, cre],
Christophe Dutang [aut],
Regis Pouillot [ctb],
Jean-Baptiste Denis [ctb]
Simon L. Rinderknecht and Peter Reichert <peter.reichert@eawag.ch>
David Luethi, Philipp Erb, Simon Otziger
Xingguo Li, Tuo Zhao, Lie Wang, Xiaoming Yuan and Han Liu
code by Fionn Murtagh and R development team, modifications and
packaging by Peter Langfelder
Friedrich Leisch [aut, cre], Evgenia Dimitriadou [ctb]
Bettina Gruen [aut, cre],
Friedrich Leisch [aut],
Deepayan Sarkar [ctb],
Frederic Mortier [ctb],
Nicolas Picard [ctb]
Rune Hoff with contributions from Jon Michael Gran and Daniel Farewell
Livio Finos, with contributions by Dario Basso, Aldo Solari, Jelle Goeman and Marco Rinaldo. Special thanks are due to Ivan Marin-Franch and Fredrik Nilsson for the debugging and the good questions.
Gen Nowak [aut, cre],
Trevor Hastie [aut],
Jonathan R. Pollack [aut],
Robert Tibshirani [aut],
Nicholas Johnson [aut]
Timothée Giraud [cre, aut],
Laurent Beauguitte [aut],
Marianne Guérois [ctb]
Constantinos Mavridis and Ioannis N. Athanasiadis
Gerald Jurasinski, Franziska Koebsch, Anke Guenther, Sascha Beetz
Karline Soetaert <karline.soetaert@nioz.nl>,
Thomas Petzoldt <thomas.petzoldt@tu-dresden.de>
Karsten Tabelow [aut, cre],
Joerg Polzehl [aut],
Brandon Whitcher [ctb]
Alina Beygelzimer, Sham Kakadet and John Langford (cover tree library),
Sunil Arya and David Mount (ANN library for the kd-tree approach), Shengqiao Li
Winston Chang,
Alexej Kryukov,
Paul Murrell
Rob J Hyndman <Rob.Hyndman@monash.edu> with contributions from
George Athanasopoulos, Slava Razbash, Drew Schmidt, Zhenyu Zhou, Yousaf Khan,
Christoph Bergmeir, Earo Wang
Jose Augusto Fioruci, Francisco Louzada and Bao Yiqi
R Core Team [aut, cph, cre],
Roger Bivand [ctb, cph],
Vincent J. Carey [ctb, cph],
Saikat DebRoy [ctb, cph],
Stephen Eglen [ctb, cph],
Rajarshi Guha [ctb, cph],
Nicholas Lewin-Koh [ctb, cph],
Mark Myatt [ctb, cph],
Ben Pfaff [ctb],
Brian Quistorff [ctb],
Frank Warmerdam [ctb, cph],
Stephen Weigand [ctb, cph],
Free Software Foundation, Inc. [cph]
Miriam Marusiakova (Centre of Biomedical Informatics, Institute
of Computer Science, Academy of Sciences of the Czech Republic)
Max Gordon [aut, cre],
Thomas Lumley [aut, ctb]
Alessandro Barbiero, Pier Alda Ferrari, Giancarlo Manzi
Nicola Puletti, Marco Mura, Cristiano Castaldi, Maurizio Marchi, Ugo
Chiavetta, Roberto Scotti
Achim Zeileis [aut, cre],
Yves Croissant [aut]
Achim Zeileis (R code) and the R community (fortunes).
Contributions (fortunes and/or code) by Torsten Hothorn,
Peter Dalgaard, Uwe Ligges, Kevin Wright, Martin Maechler,
Kjetil Brinchmann Halvorsen, Kurt Hornik, Duncan Murdoch,
Andy Bunn, Ray Brownrigg, Roger Bivand, Spencer Graves,
Jim Lemon, Christian Kleiber, David L. Reiner,
Berton Gunter, Roger Koenker, Charles Berry, Marc Schwartz,
Michael Dewey, Ben Bolker, Peter Dunn, Sarah Goslee, Simon
Blomberg, Bill Venables, Roland Rau, Thomas Petzoldt, Rolf
Turner, Mark Leeds, Emmanuel Charpentier, Chris Evans, Paolo
Sonego, Peter Ehlers, Detlef Steuer, Tal Galili, Greg Snow,
Brian D. Ripley, Michael Sumner, David Winsemius, Liviu
Andronic, Brian Diggs, Matthieu Stigler, Michael Friendly,
Dirk Eddelbuettel, Richard M. Heiberger, Patrick Burns,
Dieter Menne, Andrie de Vries, Barry Rowlingson, Renaud
Lancelot, R. Michael Weylandt, Jon Olav Skoien, Francois
Morneau, Antony Unwin, Joshua Wiley, Terry Therneau, Bryan
Hanson, Henrik Singmann, Eduard Szoecs.
Originally written for S-Plus by: Kjell Konis
<kkonis@insightful.com> and Marco Riani <mriani@unipr.it>
Ported to R by Luca Scrucca <luca@stat.unipg.it>
Jie Peng <jie@wald.ucdavis.edu> , Debashis Paul
<debashis@wald.ucdavis.edu>
Alex M Chubaty [aut, cre],
Her Majesty the Queen in Right of Canada, as represented by the
Minister of Natural Resources Canada [cph]
Patricia Román-Román, Juan J. Serrano-Pérez and Francisco
Torres-Ruiz.
S original by Chris Fraley, U.Washington, Seattle.  R port by
Fritz Leisch at TU Wien; since 2003-12: Martin Maechler;
fdGPH(), fdSperio(), etc by Valderio Reisen and Artur Lemonte.
William Constantine and Donald Percival (Applied Physics
Laboratory, University of Washington)
Hana Sevcikova <hanas@uw.edu>,
Don Percival <dbp@apl.washington.edu>,
Tilmann Gneiting <tilmann@stat.washington.edu>
Virginie Rondeau, Juan R. Gonzalez, Yassin Mazroui, Audrey
Mauguen, Agnieszka Krol-Listwon, Amadou Diakite and Alexandre Laurent
Antonio Arcos <arcos@ugr.es>, Maria del Mar Rueda <mrueda@ugr.es>,
Maria Giovanna Ranalli <giovanna.ranalli@stat.unipg.it> and David Molina
<dmolinam@ugr.es>
Bernhard Pfaff [aut, cre], Miguel Sousa Lobo [ctb] (SOCP),
Lieven Vandenberghe [ctb] (SOCP), Stephen Boyd [ctb] (SOCP),
Herve Lebret [ctb] (SOCP)
Ella Roelant, Stefan Van Aelst, Gert Willems
Lala Septem Riza, Christoph Bergmeir, Francisco Herrera, and
Jose Manuel Benitez
Steven Spiriti <puzzlesteven@gmail.com>, Philip Smith
<philip.smith@ttu.edu>, Pierre Lecuyer
<lecuyer@iro.UMontreal.ca>,
Norm Matloff <normmatloff@gmail.com> and Yingkang Xie
<yingkang.xie@gmail.com>
Jose Gerardo Tamez-Pena, Antonio Martinez-Torteya and Israel Alanis
Giangiacomo Bravo <giangiacomo.bravo@unito.it>, Lucia Tamburino
<lucia.tamburino@alice.it>.
Jakub Szlek [aut, cre],
Aleksander Mendyk [ctb]
Laurie Davies <Laurie.Davies@uni-essen.de> Arne Kovac
<A.Kovac@bristol.ac.uk>
John Dziak [aut, cre],
Mariya Shiyko [aut]
Vyacheslav Lyubchich <lyubchic@cbl.umces.edu>;
Yulia R. Gel <ygl@utdallas.edu>;
Xingyu Wang <x263wang@uwaterloo.ca>
Carlos A. Rabelo [aut, cre],
Pablo J. Villacorta [ctb]
Marek Gagolewski [aut, cre],
Jan Caha [ctb]
Author: Pablo J. Villacorta <pjvi@decsai.ugr.es>
Craig Knott, Luke Hovell, Nathan Karimian with supervision from
Dr. Jon Garibaldi
Marta Sestelo [aut, cre],
Nora M. Villanueva [aut],
Javier Roca-Pardinas [aut]
Xianli Wang, Alan Cantin, Marc-Andre Parisien, Mike Wotton, Kerry Anderson, and Mike Flannigan
Achim Zeileis [aut, cre],
Ajay Shah [ctb],
Ila Patnaik [ctb],
Anmol Sethy [ctb]
Sophie Lebre <sophie.lebre@icube.unistra.fr>, original
version 1.0 by Sophie Lebre
<sophie.lebre@icube.unistra.fr>, contribution of Julien
Chiquet <julien.chiquet@genopole.cnrs.fr> to version 2.0
Regis K. Gallon (MNHN), Jerome Fournier (CNRS|MNHN)
Sebnem Er, Timur Keskinturk, Charlie Daly
Luca Scrucca [aut],
Baljinder K. Sahdra [aut, cre]
Leonardo Sandrini-Neto & Mauricio G. Camargo
Michael Krabbe Borregaard, Thomas Matthews & Karl Ugland
Benjamin Hofner, Andreas Mayr, Nora Fenske, Matthias Schmid
Curtis S. Signorino [aut],
Brenton Kenkel [aut, cre]
Mikis Stasinopoulos [aut, cre, cph],
Bob Rigby [aut],
Vlasios Voudouris [ctb],
Calliope Akantziliotou [ctb],
Marco Enea [ctb]
Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob Rigby <r.rigby@londonmet.ac.uk>
Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob
Rigby <r.rigby@londonmet.ac.uk>, Nicoleta Mortan
Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob
Rigby <r.rigby@londonmet.ac.uk>
Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob Rigby <r.rigby@londonmet.ac.uk>, Paul Eilers <p.eilers@erasmusmc.nl>, Brian Marx \email{bmarx@LSU.EDU}, Konstantinos Pateras <kostas.pateras@gmail.com>  with contributions from Larisa Kosidou.
Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob
Rigby <r.rigby@londonmet.ac.uk> with contributions from
Calliope Akantziliotou, Gillian Heller, Raydonal Ospina
<rospina@ime.usp.br>, Nicoletta Motpan, Fiona McElduff, Vlasios
Voudouris, Majid Djennad, Marco Enea and Alexios Ghalanos.
Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob
Rigby <r.rigby@londonmet.ac.uk> with contributions from
Philippe Lambert.
Fernanda De Bastiani [aut, cre, cph],
Mikis Stasinopoulos [aut],
Bob Rigby [aut]
Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob Rigby <r.rigby@londonmet.ac.uk>, Paul Eilers <p.eilers@erasmusmc.nl>
Martha Corrales and Edilberto Cepeda-Cuervo, with the colaboration of Maria Fernanda Zarate,Ricardo Duplat and Campo Elias Pardo.
Alexandra Chouldechova and Trevor Hastie
Zhaoyuan Fang, Weidong Tian and Hongbin Ji
Jing Hua Zhao and colleagues with inputs from Kurt Hornik and
Brian Ripley
Monique Graf <monique.p.n.graf@bluewin.ch>, Desislava Nedyalkova <desislava.nedyalkova@gmail.com>.
Greg Ridgeway <gregridgeway@gmail.com> with contributions from
others
Global Paleofire Working Group <paleofire@univ-fcomte.fr>
Sang-Yun Oh <sang.oh@stanford.edu>
Kshitij Khare <kdkhare@stat.ufl.edu>
Bala Rajaratnam <brajarat@stanford.edu>
Jonathan Asher Greenberg and Matteo Mattiuzzi
Gregory R. Warnes, Ben Bolker, Gregor Gorjanc, Gabor
Grothendieck, Ales Korosec, Thomas Lumley, Don MacQueen, Arni
Magnusson, Jim Rogers, and others
Stephen R. Haptonstahl, Thomas Scherer, Timo Thoms, and Patrick Wheatley
Glenn Manion, Matthew Lisk, Simon Ferrier, Diego Nieto-Lugilde, Matthew C. Fitzpatrick
Vincent J Carey. Ported to R by Thomas Lumley (versions 3.13 and 4.4)
and Brian Ripley <ripley@stats.ox.ac.uk> (version 4.13).
Note that maintainers are not available to give advice on using a
package they did not author.
Søren Højsgaard, <sorenh@math.aau.dk>, Ulrich Halekoh <Ulrich.Halekoh@agrsci.dk>, Jun Yan <jun.yan@uconn.edu>,
Luke Harmon <lukeh@uidaho.edu>, Jason Weir, Chad Brock, Rich
Glor, Wendell Challenger, Gene Hunt, Rich FitzJohn, Matt Pennell, Graham Slater, Joseph Brown, Josef Uyeda, and Jon Eastman <jonathan.eastman@gmail.com>
Luisa Salazar Vizcaya, Nello Blaser, Thomas Gsponer
Maksim Struchalin <m.v.struchalin@mail.ru> and GenABEL project developers <genabel.project@gmail.com>
Jiri Kalina, Jana Klanova, Ladislav Dusek, Tom Harner, Jana Boruvkova, Jiri Jarkovsky
Eric Reed, Sara Nu<c3><b1>ez, Jing Qian, Andrea Foulkes
Lincoln Mullen [aut, cre],
Cameron Blevins [ctb],
Ben Schmidt [ctb]
Miika Ahdesmaki, Konstantinos Fokianos, and Korbinian Strimmer.
Gilles Guillot, Filipe Santos, Arnaud Estoup
Juliane Schaefer, Rainer Opgen-Rhein, and
Korbinian Strimmer.
Gregory Warnes, with contributions from Gregor Gorjanc,
Friedrich Leisch, and Michael Man.
Ryan C. Graebner and Alfonso Cuesta-Marcos
Nadia Solaro, Alessandro Barbiero, Giancarlo Manzi, Pier Alda Ferrari
David Lucy <d.lucy@lancaster.ac.uk> and Robert Aykroyd <r.g.aykroyd@leeds.ac.uk>
Louis Houde [aut],
Jean-Francois Lefebvre [aut],
Valery Roy-Lagace [aut],
Sebastien Lemieux [aut],
Michael J. Fromberger [ctb],
Marie-Helene Roy-Gagnon [cre]
Matthew Friedlander, Adrian Dobra, Helene Massam, and Laurent Briollais
Olga Vesselova, Matthew Friedlander, Laurent Briollais, Adrian Dobra, Helene Massam.
Sylvain Gubian, Yang Xiang, Brian Suomela, Julia Hoeng, PMP SA.
Artur Agostinho Araujo, Luis Meira-Machado
<lmachado@math.uminho.pt> and Susana Faria
<sfaria@math.uminho.pt>
Hoskuldur Bjornsson, Sigurdur Thor Jonsson, Arni Magnusson, and Bjarki
Thor Elvarsson
Evangelos Evangelou <e.evangelou@maths.bath.ac.uk>, Vivekananda
Roy <vroy@iastate.edu>
Scott Chamberlain [aut, cre],
Andy Teucher [aut]
Simeon Lisovski, Silke Bauer, Tamara Emmenegger
C. B. Barber [cph],
Kai Habel [cph, aut],
Raoul Grasman [cph, aut],
Andreas Stahel [cph, aut],
Andreas Stahel [cph, aut],
David C. Sterratt [cph, aut, cre]
Dean Adams, Michael Collyer, Emma Sherratt
Paulo J. Ribeiro Jr <paulojus@ufpr.br> and
Peter J. Diggle <p.diggle@lancaster.ac.uk>
Ole F. Christensen [aut, cre],
Paulo J. Ribeiro Jr [aut]
Andreas Papritz [cre, aut],
Cornelia Schwierz [ctb]
Davide Morselli [aut, cre],
Mathieu Cossuta [aut],
Till Junge [aut],
Sandra Penic [aut],
Guy Elcheroth [ctb],
Stephanie Glaeser [ctb]
Robert J. Hijmans [cre, aut],
Ed Williams [ctb],
Chris Vennes [ctb]
Carlos Melo <cmelo@udistrital.edu.co>, Alí Santacruz, Oscar
Melo <oomelom@unal.edu.co>
Carlos Melo, Oscar Melo <oomelom@unal.edu.co>
Patrick Brown <patrick.brown@utoronto.ca>[aut, cre], Robert Hijmans [ctb]
Emanuele Cordano, Daniele Andreis, Fabio Zottele
Yves Aragon, Thibault Laurent, Lauriane Robidou, Anne
Ruiz-Gazen, Christine Thomas-Agnan
Barret Scloerke <schloerke@gmail.com>, with contributions from Dianne
Cook <dicook@iastate.edu> and Hadley Wickham <h.wickham@gmail.com>.
Allen Day.
Contributions from Trevor L Davis.
Felix Pretis, James Reade, Genaro Sucarrat
Thiago do Rego Sousa, Cira Etheowalda Guevara Otiniano and Silvia Regina Costa Lopes
Barret Schloerke <schloerke@gmail.com>, Jason Crowley
<crowley.jason.s@gmail.com>, Di Cook <dicook@iastate.edu>, Heike Hofmann
<hofmann@iastate.edu>, Hadley Wickham <h.wickham@iastate.edu>, and Francois
Briatte <f.briatte@gmail.com>, Moritz Marbach
<mmarbach@mail.uni-mannheim.de>, and Edwin Thoen <edwinthoen@@gmail.com>
Andrie de Vries [aut, cre],
Brian D. Ripley [aut] (author of package tree)
Elisa Frutos Bernal <efb@usal.es>, Purificacion Galindo Villardon <pgalindo@usal.es>
Lindsay Rutter, Susan Vanderplas, Di Cook
Vincent T van Hees [aut, cre],
Zhou Fang [ctb],
Jing Hua Zhao [ctb],
Severine Sabia [ctb]
Giovanni M. Marchetti, Mathias Drton, Kayvan Sadeghi
David Kahle [aut, cre],
Hadley Wickham [aut]
Xavier Fernández i Marín <xavier.fim@gmail.com>
Annie Bouvier, Christophe Giraud, Sylvie Huet, Verzelen N.
Hadley Wickham [aut, cre],
Winston Chang [aut]
Garrett Grolemund <garrett@rstudio.com>, Hadley
Wickham <h.wickham@gmail.com>
Jeffrey B. Arnold [aut, cre],
Gergely Daroczi [ctb],
Bo Werth [ctb],
Brian Weitzner [ctb],
Joshua Kunst [ctb],
Baptise Auguie [ctb],
Bob Rudis [ctb],
Justin Talbot [ctb] (Some code from the labeling package)
Winston Chang [aut, cre],
Hadley Wickham [aut],
RStudio [cph],
jQuery Foundation [cph] (jQuery library and jQuery UI library),
jQuery contributors [ctb, cph] (jQuery library; authors listed in
inst/www/lib/jquery/AUTHORS.txt),
jQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in
inst/www/lib/jquery-ui/AUTHORS.txt),
Mike Bostock [ctb, cph] (D3 library),
D3 contributors [ctb] (D3 library; authors listed at
https://github.com/mbostock/d3/graphs/contributors),
Trifacta Inc. [cph] (Vega library),
Vega contributors [ctb] (Vega library; authors listed at
https://github.com/trifacta/vega/graphs/contributors),
Sebasti<c3><a1>n D<c3><a9>cima [ctb, cph]
(javascript-detect-element-resize library)
Jens Henrik Badsberg, Claus Dethlefsen, Luca La Rocca
Ramnath Vaidyanathan [aut],
Karthik Ram [aut],
Scott Chamberlain [aut, cre]
William T.M. Dunsmuir <w.dunsmuir@unsw.edu.au>, Cenanning Li
<cli113@aucklanduni.ac.nz>, and David J. Scott
<d.scott@auckland.ac.nz>
Jerome Friedman, Trevor Hastie and Rob Tibshirani
Steve Su, with contributions from: Diethelm Wuertz, Martin Maechler and Rmetrics core team members for low discrepancy algorithm, Juha Karvanen for L moments codes,  Robert King for gld C codes and starship codes, Benjamin Dean for corrections and input in ks.gof code and R core team for histsu function.
Steve Su, with contributions from: R core team for qqgld.default function.
David Duffy <David.Duffy@qimr.edu.au>.
C code in emgllmfitter by Andreas Borg <borg@imbei.uni-mainz.de>
Ian Marschner (using code from glm and glm.fit in the stats package)
Sanjay Chaudhuri <sanjay@stat.nus.edu.sg>, Mark S. Handcock
<handcock@stat.ucla.edu>, Michael S. Rendall
<mrendall@rand.org>.
Jeff Gill, George Casella, Minjung Kyung, and Jonathan Rapkin
Michele Morara, Louise Ryan, Subharup Guha, Christopher
Paciorek
Jerome Friedman, Trevor Hastie, Noah Simon, Rob Tibshirani
Ying Nan <nanx0006@gmail.com>, Yi Yang <yiyang@umn.edu>, Yuhong Yang <yyang@stat.umn.edu>, Chenglong Ye <yexxx323@umn.edu>
Achim Zeileis [aut, cre],
Roger Koenker [aut],
Philipp Doebler [aut]
Anne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>,
Torsten Hothorn <torsten.hothorn@stat.uni-muenchen.de>.
Achim Zeileis [aut, cre],
Thomas Windberger [aut]
Claus Jonathan Fritzemeier [cre],
Gabriel Gelius-Dietrich [aut],
Louis Luangkesorn [ctb]
Anders Ellern Bilgrau, Martin Boegsted, Poul Svante Eriksen
Kornelius Rohmeyer [aut, cre],
Florian Klinglmueller [aut]
Xiaobei Zhao [aut, cre, cph],
Albin Sandelin [aut]
Mauricio Sarrias [aut, cre],
Ricardo Daziano [aut],
Yves Croissant [ctb]
Gregory R. Warnes, Ben Bolker, Thomas Lumley, and Randall C
Johnson. Contributions from Randall C. Johnson are Copyright
(2005) SAIC-Frederick, Inc. Funded by the Intramural Research
Program, of the NIH, National Cancer Institute, Center for
Cancer Research under NCI Contract NO1-CO-12400.
Antoine Lucas, Immanuel Scholz, Rainer Boehme <rb-gmp@reflex-studio.de>,
Sylvain Jasson <jasson@toulouse.inra.fr>,
Martin Maechler <maechler@stat.math.ethz.ch>
Heather Turner [aut, cre],
David Firth [aut],
Brian Ripley [ctb],
Bill Venables [ctb],
Douglas M. Bates [ctb],
Martin Maechler [ctb]
Jose M. Maisog, Guoli Wang, Karthik Devarajan
Elizabeth Gonzalez-Estrada, Jose A. Villasenor-Alva
Julian Faraway [aut],
George Marsaglia [aut],
John Marsaglia [aut],
Adrian Baddeley [aut, cre]
Jennifer Bryan [aut, cre],
Joanna Zhao [aut]
Markus Gesmann [aut, cre],
Diego de Castillo [aut],
Joe Cheng [ctb]
Daniel Gerhard [aut, cre],
Rebecca M. Kuiper [aut]
Roger D. Peng <rpeng@jhsph.edu> with contributions from Duncan
Murdoch and Barry Rowlingson; GPC library by Alan Murta
Brahim Brahim and Sun Makosso-Kallyth <sun.makosso-kallyth@crchuq.ulaval.ca>
Elizabeth Gonzalez Estrada, Jose A. Villasenor Alva
Blake MacDoanld, Hugh Chipman, Pritam Ranjan
Gregory R. Warnes, Ben Bolker, Lodewijk Bonebakker, Robert
Gentleman, Wolfgang Huber Andy Liaw, Thomas Lumley, Martin
Maechler, Arni Magnusson, Steffen Moeller, Marc Schwartz, Bill
Venables
Cyprien Mbogning <cyprien.mbogning@inserm.fr> and Wilson Toussile
Arne B. Gjuvsland <arne.gjuvsland@nmbu.no> and Yunpeng Wang <yunpeng.wng@gmail.com>
Juri Reimand <juri.reimand@ut.ee>, Raivo Kolde
<rkolde@gmail.com>, Tambet Arak <tambet.arak@gmail.com>
Alfredo Kalaitzis <alkalait@gmail.com>,
Antti Honkela <antti.honkela@tkk.fi>,
Pei Gao <pg349@medschl.cam.ac.uk>,
Neil D. Lawrence <N.Lawrence@dcs.shef.ac.uk>
Josh Buckner <nullsatz@gmail.com>, Mark Seligman
<mseligman@rapidbiologics.com>, Justin Wilson
Farzad Noorian, Anthony Mihirana de Silva
Deepak N. Ayyala, Shili Lin, Department of Statistics, The Ohio State University, Columbus, Ohio, USA.
Gabriel Becker[aut,cre], Cory Barr [cre,ctb]
Robert M. Pruzek <RMPruzek@yahoo.com> and James E. Helmreich <James.Helmreich@Marist.edu>
Brian A. Danielak <brian@briandk.com>,
Robert M. Pruzek <RMPruzek@yahoo.com>,
with contributions from:
William E. J. Doane <wil@DrDoane.com>,
James E. Helmreich <James.Helmreich@Marist.edu>,
Jason Bryer <jason@bryer.org>
Smitha Ankinakatte <Smitha.AA@agrsci.dk> and David Edwards <David.Edwards@agrsci.dk>
Gabriel Coelho Goncalves de Abreu <abreu_ga@yahoo.com.br>,
Rodrigo Labouriau <Rodrigo.Labouriau@agrsci.dk>,
David Edwards <David.Edwards@agrsci.dk>.
Brahim Brahim <brahim.brahim@bigdatavisualizations.com> and Sun Makosso-Kallyth <sun.makosso-kallyth@crchuq.ulaval.ca>
Robin Loche, Benoit Giron, David Abrial, Lionel Cucala, Myriam Charras-Garrido, Jocelyn De-Goer
Søren Højsgaard <sorenh@math.aau.dk> with contributions from Claus Dethlefsen <cld@rn.dk> and Clive Bowsher <C.Bowsher@statslab.cam.ac.uk>
Søren Højsgaard <sorenh@math.aau.dk>, Steffen L. Lauritzen
<steffen@stats.ox.ac.uk>
Frank E Harrell Jr <f.harrell@vanderbilt.edu>
Baptiste Auguie [aut, cre],
Anton Antonov [ctb]
Paul Murrell [cre, aut],
Ashley Noel Hinton [aut]
Paul Murrell [cre, aut],
Simon Potter [aut]
Paul Murrell [aut, cre],
Richard Walton [aut],
Simon Potter [ctb]
Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl> and Spyridoula
Tsonaka <s.tsonaka@lumc.nl>
Xianlong Wang <xwan2@fhcrc.org>, Li Qin, Hexin Zhang, Yuzheng Zhang, Li Hsu, Pei Wang <pei.wang@mssm.edu>
Dingfeng Jiang <dingfengjiang at gmail.com>
Daniel Amorese, Paul A. Rydelek and Jean-Robert Grasso
Andy Leung, Mike Danilov, Victor Yohai, Ruben Zamar
Tomislav Hengl [cre, aut],
Bas Kempen [ctb],
Gerard Heuvelink [ctb],
Brendan Malone [ctb]
Robin K. S. Hankin; qrng functions by Duncan Murdoch and
multimin by Andrew Clausen
Edzer Pebesma [aut, cre],
Benedikt Graeler [aut]
Dan Kelley [aut, cre, cph] (C wrapper plus R code, tests, and
documentation),
Clark Richards [aut, cph] (C wrapper plus R code, tests, and
documentation),
WG127 SCOR/IAPSO [aut, cph] (Original Matlab and derived code)
Mohammad Hossein Dehghan, Thierry Duchesne and Sophie Baillargeon
Gregory R. Warnes, Ben Bolker, and Thomas Lumley
Marco Toledo Bastos & Cornelius Puschmann
Michael Friendly [aut, cre], Stephane Dray [aut]
Fernando de Villar<fdevillar@gmail.com> and Angel Rubio <arubio@ceit.es>
Anne-Lise Caillat [ctb], Christophe Dutang [aut,cre], Veronique Larrieu [ctb] and Triet Nguyen [ctb]
Carlo Albert <carlo.albert@eawag.ch> and Sören Vogel <soeren.vogel@posteo.ch>
Bastiaan Quast [aut, cre],
Victor Kummritz [aut]
Edsel A. Pena <pena@stat.sc.edu> and Elizabeth H. Slate <slateeh@musc.edu>
Ming-Huei Chen <mhchen@bu.edu> and Qiong Yang <qyang@bu.edu>
Benjamin Stich <stich@mpipz.mpg.de>, Bettina Mueller
<b.mueller@uni-hohenheim.de>, Hans-Peter Piepho
<piepho@uni-hohenheim.de>
John Verzani. Based on  the iwidgets code of Simon Urbanek and suggestions by Simon Urbanek, Philippe Grosjean and Michael Lawrence
Binbin Lu[aut], Paul Harris[aut], Martin Charlton[aut], Chris Brunsdon[aut], Tomoki Nakaya[aut], Isabella Gollini[ctb]
Antonio Jose Saez-Castillo [aut, cre],
Silverio Vilchez-Lopez [aut],
Maria Jose Olmo-Jimenez [aut],
Jose Rodriguez-Avi [aut],
Antonio Conde-Sanchez [aut],
Ana Maria Martinez-Rodriguez [aut]
Spencer Aiello, Tom Kraljevic and Petr Maj, with contributions from the
0xdata team
Ostap Okhrin <ostap.okhrin@wiwi.hu-berlin.de> and Alexander Ristig <ristigal@hu-berlin.de>
Andreas Dominik Cullmann [aut, cre],
Edgar Kublin [ctb]
K. Burkett <kburkett@uottawa.ca>, B. McNeney <mcneney@sfu.ca>, J.
Graham <jgraham@stat.sfu.ca>, with code for case-control data
contributed by Zhijian Chen <z11chen@math.uwaterloo.ca>
S. Dejean, N. Oumouhou, D. Estivals, B. Mangin
Albart Coster [aut, cre],
John Bastiaansen [aut]
Hadley Wickham [aut, cre],
Evan Miller [aut, cph] (Author of included ReadStat code),
RStudio [cph]
Pedro Rafael Diniz Marinho [aut, cre], Francisco Cribari Neto [aut, ctb]
Stephen J.Ganocy, Jiayang Sun, and Yulei Wang
Laurent Berge, Charles Bouveyron and Stephane Girard
Claudia Vitolo [aut, cre], Simon Moulds [aut]
Tarmo K. Remmel, Sandor Kabos, and Ferenc (Ferko) Csillag
Lukas Meier, Nicolai Meinshausen, Ruben Dezeure
Quentin Grimonprez [aut, cre],
Serge Iovleff [ctb]
Rob J Hyndman <Rob.Hyndman@monash.edu> with contributions from Jochen Einbeck and Matt Wand
Wei Qian <weiqian@stat.umn.edu>, Yi Yang <yiyang@umn.edu>, Hui Zou <hzou@stat.umn.edu>
Shilin Zhao, Yan Guo, Quanhu Sheng, Yu Shyr
Justin Esarey [aut, cre],
Andrew Pierce [aut],
Jericho Du [aut]
Juuso Parkkinen, Leo Lahti, Joona Lehtomaki
John Fox [aut], Michael Friendly [aut, cre], Georges Monette [ctb]
Michael Schweinberger <michael.schweinberger@rice.edu> [aut, cre], Mark S. Handcock <handcock@ucla.edu> [ctb], Pamela Luna <pamela.luna@rice.edu> [ctb]
Willem Kruijer, with a contribution from Ian White (the internal function pin). Contains data collected by Padraic Flood and Rik Kooke.
David Moriña, Manuel Higueras, Pedro Puig and María Oliveira
Dan Carr <dcarr@voxel.galaxy.gmu.edu>, ported by Nicholas
Lewin-Koh and Martin Maechler <maechler@stat.math.ethz.ch>,
contains copies of lattice function written by Deepayan Sarkar
<deepayan.sarkar@r-project.org>
The students of the `Advanced R Programming Course' Hannah
Frick, Ivan Kondofersky, Oliver S. Kuehnle, Christian
Lindenlaub, Georg Pfundstein, Matthias Speidel, Martin
Spindler, Ariane Straub, Florian Wickler, Katharina Zink under
the supervision of Manuel Eugster and Torsten Hothorn
Nobuki Takayama, Tamio Koyama, Tomonari Sei, Hiromasa Nakayama, Kenta Nishiyama
Barak Brill & Shachar Kaufman, based in part on an earlier implementation by Ruth Heller and Yair Heller.
Daniel C. Bowman [aut, cre],
Jonathan M. Lees [ctb]
Giovanni Petris <GPetris@Uark.edu> and Luca Tardella
<luca.tardella@@uniroma1.it>; original C code for ARMS by Wally
Gilks.
Hamada S. Badr [aut, cre], Benjamin F. Zaitchik [aut], Amin K. Dezfuli [aut]
Jason A. Osborne, Christopher T. Franck and Bongseog Choi
Antonio Pedro Duarte Silva <psilva@porto.ucp.pt>
Alexis Bienvenüe [aut, cre],
Christian Robert [aut]
Jacob Bien <jbien@cornell.edu>, Florentina Bunea, and Luo Xiao
Zachary Marion, James Fordyce, and Benjamin Fitzpatrick
Jacob Bien, Noah Simon, and Rob Tibshirani
Kris Boudt [aut, cre], Jonathan Cornelissen [aut], Scott Payseur [aut],
Giang Nguyen [ctb], Maarten Schermer [ctb]
Romain Francois [aut, cre],
Andre Simon [ctb]
Christopher Gandrud [ctb],
Qiang Li [ctb],
Yixuan Qiu [aut],
Yihui Xie [aut, cre]
Heidi Seibold <Heidi.Seibold@uzh.ch>, Monia Mahling
<monia.mahling@stat.uni-muenchen.de>, Sebastian Linne
<Sebastian.Linne@campus.lmu.de>
Hongyuan Cao [aut],
Michael Kosorok [aut],
Shannon Holloway [aut, cre]
Jeremy M. Beaulieu <jbeaulieu@nimbios.org>, Brian O'Meara <bomeara@utk.edu>
Michael Friendly [aut, cre],
Stephane Dray [ctb],
Hadley Wickham [ctb],
James Hanley [ctb],
Dennis Murphy [ctb]
Thoralf Mildenberger, Yves Rozenholc, David Zasada.
Murray Stokely [aut, cre],
Tim Hesterberg [ctb]
Ingo Feinerer [aut],
Stefan Theussl [aut, cre]
Bryan A. Hanson [aut, cre],
Vesna Memisevic [ctb],
Jonathan Chung [ctb]
Samrachana Adhikari, Brian Junker, Tracy Sweet, Andrew C. Thomas
Christoforos Anagnostopoulos
<christoforos.anagnostopoulos06@imperial.ac.uk> and David J.
Hand <d.j.hand@imperial.ac.uk>
Frank E Harrell Jr <f.harrell@vanderbilt.edu>, with
contributions from Charles Dupont and many others.
Scientific Software Development - Dr. Lin Himmelmann,
www.linhi.com
Rolf Turner <r.turner@auckland.ac.nz> and Limin Liu.
Colombi Roberto and Sabrina Giordano and Manuela Cazzaro, with contributions from Joseph Lang
Patricio S. La Rosa, Elena Deych, Berkley Shands, William D.
Shannon
Patricio S. La Rosa, Elena Deych, Berkley Shands, William D. Shannon
Rafael de Andrade Moral [aut, cre], John Hinde [aut], Clarice Garcia Borges Demetrio [aut]
R port by Alessandra R. Brazzale <alessandra.brazzale@unipd.it>, following
earlier work by Douglas Bates. The function tem is based on work by Anthony Davison <Anthony.Davison@epfl.ch>
Daniel Fischer [aut, cre],
Anu Sironen [aut]
Skyler Cranmer, Jeff Gill, Natalie Jackson, Andreas Murr, Dave Armstrong
Lukas W. Lehnert [cre, aut],
Hanna Meyer [aut],
Joerg Bendix [aut]
Ghislain Vieilledent, Cory Merow, Jérôme Guélat, Andrew M. Latimer, Marc Kéry, Alan E. Gelfand, Adam M. Wilson, Frédéric Mortier and John A. Silander Jr.
Jan Bulla <bulla@math.unicaen.fr>, Ingo Bulla
<ingobulla@googlemail.com>
Mohammad Ferdosi <mferdosi@myune.edu.au>, Cedric Gondro <cgondro2@une.edu.au>
Guanhua Chen [aut, cre],
Michael Kosorok [aut],
Shannon Holloway [ctb]
"Markus Loecher, Berlin School of Economics and Law (BSEL)"  <markus.loecher@gmail.com>
Ramnath Vaidyanathan [aut, cph],
Yihui Xie [aut],
JJ Allaire [aut, cre],
Joe Cheng [aut],
Kenton Russell [aut, cph],
RStudio [cph]
Rob J Hyndman, Earo Wang and Alan Lee with contributions from Shanika Wickramasuriya
Andrea Rau, Gilles Celeux, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau
John Wambaugh and Robert Pearce, Schmitt method implementation by Jimena Davis, dynamic model adapted from code by R. Woodrow Setzer, Rabbit parameters from Nisha Sipes
Tuo Zhao, Han Liu, Kathryn Roeder, John Lafferty, Larry
Wasserman
Natalia Novoselova,Junxi Wang,Jialiang Li, Frank Pessler,Frank Klawonn
John Maindonald, with \code{hwexact()} from Randall Johnson.
Jon Wakefield [aut, cre],
Martyn Plummer [ctb]
Delyan Savchev [aut],
Guy Nason [aut, cre]
Michel Ballings, Dauwe Vercamer, and Dirk Van den Poel
Hugh Chipman, Rob Tibshirani, with tsvq code originally from Trevor Hastie
Jarrod E. Dalton <daltonj@ccf.org> and Benjamin Nutter <benjamin.nutter@gmail.com>
Mauricio Zambrano-Bigiarini [aut, cre], Rodrigo Rojas [ctb]
Mauricio Zambrano-Bigiarini [aut, cre, cph]
Chengfeng Liu,Huiqing Liu,Yingyan Liang,Ruibin Feng
Spencer Maynes, Fan Yang, and Anne Parkhurst
Kuang Zhou <kzhoumath@163.com>; Arnaud Martin
<arnaud.martin@univ-rennes1.fr>
Pierre-Andre Cornillon, Nicolas Hengartner, Eric Matzner-Lober
Farimah Houshmand, Farzad Eskandari Ph.D. <Askandari@atu.ac.ir>
Antoine Tremblay, NeuroCognitive Imaging Lab, Dalhousie University
Steven Andrew Culpepper [aut, cph, cre],
Herman Aguinis [aut, cph]
Jack O. Wasey [aut, cre, cph],
William Murphy [ctb]
Alex Goldstein, Adam Kapelner, Justin Bleich
Itziar Irigoien [aut, cre],
Concepcion Arenas [aut]
Klaus Nordhausen, Hannu Oja, David E. Tyler
Klaus Nordhausen, Seija Sirkia, Hannu Oja, David E. Tyler
Christopher S. McMahan and  Lianming Wang
Peter M. Aronow <peter.aronow@yale.edu>, Dean Eckles <icsw@deaneckles.com> and Kyle Peyton <kyle.peyton@yale.edu>
Alfonso Iodice D' Enza [aut], Angelos Markos [aut, cre], Davide Buttarazzi [ctb]
Francesca Mangili <francesca@idsia.ch>,
Alessio Benavoli <alessio@idsia.ch>,
Cassio P. de Campos <cassiopc@acm.org>,
Marco Zaffalon <zaffalon@idsia.ch>
Greg Jefferis with contributions from Thomas Braun
Zoltan Butt, Steven Haberman and Han Lin Shang
Bartek Rajwa, Murat Dundar, Allison Irvine, Tan Dang
Thomas J. Leeper [aut, cre],
Aaron Statham [ctb],
Yihui Xie [ctb]
Junghyun Namkung, Taeyoung Hwang, MinSeok Kwon, Sunggon Yi and
Wonil Chung
P Lafaye de Micheaux <lafaye@dms.umontreal.ca>, M Bilodeau
<bilodeau@dms.umontreal.ca>
Achim Zeileis [aut, cre],
Christian Kleiber [ctb]
T. C. Hsieh [aut, cre, cph],
K. H. Ma [ctb],
Anne Chao [ths]
Denis Talbot, Thierry Duchesne, Jacques Brisson, Nathalie
Vandal
Rense Nieuwenhuis, Ben Pelzer, Manfred te Grotenhuis
Virgilio Gómez-Rubio <virgilio.gomez@uclm.es>, Roger Bivand <Roger.Bivand@nhh.no>
Oleg Sklyar, Duncan Murdoch, Mike Smith, Dirk Eddelbuettel,
Romain Francois, Karline Soetaert
Toby Dylan Hocking [aut, cre],
Keith Ponting [aut],
Thomas Wutzler [aut],
Philippe Grosjean [aut],
Markus Müller [aut],
R Core Team [ctb, cph]
Original install_load function written by maloneypatr as a
contribution to Stack Overflow on February 28 2014
(http://stackoverflow.com/questions/15155814/check-if-r-package-is-installed-then-load-library).
Irucka Embry has enhanced the original function.
Tal Galili [aut, cre, cph] (http://www.r-statistics.com),
Barry Rowlingson [ctb],
Boris Hejblum [ctb],
Dason [ctb],
Felix Schonbrodt [ctb],
G. Grothendieck [ctb],
GERGELY DAROCZI [ctb],
Heuristic Andrew [ctb],
James [ctb] (http://stackoverflow.com/users/269476/james),
Thomas Leeper [ctb] (http://thomasleeper.com/),
VitoshKa [ctb],
Yihui Xie [ctb] (http://yihui.name),
Michael Friendly [ctb] (http://datavis.ca/),
Kornelius Rohmeyer [ctb] (http://algorithm-forge.com/techblog/),
Dieter Menne [ctb],
Tyler Hunt [ctb] (https://github.com/JackStat),
Takekatsu Hiramura [ctb] (https://github.com/hiratake55),
Berry Boessenkool [ctb] (https://github.com/BerryBoessenkool)
Alicja Wolny--Dominiak and Michal Trzesiok
Edzer Pebesma <edzer.pebesma@uni-muenster.de>, Jon Olav Skoien <jon.skoien@gmail.com>  with contributions from Olivier Baume, A.Chorti, D.T. Hristopulos, H. Kazianka, S.J. Melles, G. Spiliopoulos
Edzer Pebesma <edzer.pebesma@uni-muenster.de>, Jon Skoien <jon.skoien@gmail.com> with contributions from Olivier Baume, A.Chorti, D.T. Hristopulos, S.J. Melles, G. Spiliopoulos
Volkmar Henschel [aut, cre], Ulrich Mansmann [aut], Christiane
Heiss [ctb]
Aaron Fisher <afisher@jhsph.edu>, Michael Rosenblum
<mrosenbl@jhsph.edu>, Harris Jaffee<hj@jhu.edu>
Aurélie Siberchicot, Eléonore Hellard, Dominique Pontier, David Fouchet and Franck Sauvage
Dominik Heider, PhD, University of Duisburg-Essen, Germany
Jorge Luis Ojeda Cabrera, <jojeda@unizar.es>
Daniel Caro <daniel.caro@education.ox.ac.uk>, Przemyslaw Biecek <przemyslaw.biecek@gmail.com>
Simon Urbanek <Simon.Urbanek@r-project.org>, Taylor Arnold <taylor.arnold@acm.org>
Simon Urbanek <simon.urbanek@r-project.org>, Tobias Wichtrey <tobias@tarphos.de>
CJE Metcalf, SM McMahon, R Salguero-Gomez, E Jongejans, C Merow
Andrea Peters [aut],
Torsten Hothorn [aut, cre],
Brian D. Ripley [ctb],
Terry Therneau [ctb],
Beth Atkinson [ctb]
Bob Rudis <bob@rudis.net> [aut, cre], Oliver Keyes <ironholds@gmail.com> [aut]
Emanuel P. Barbosa,
Flavio M. M. Barros <flaviomargarito@gmail.com>,
Elias de Jesus Goncalves <eliasjg@gmail.com>,
Daniela R. Recchia <daniela_recchia@yahoo.com.br>
Kristin A. Linn, Eric B. Laber, Leonard A. Stefanski
Manuel López-Ibáñez, Jérémie Dubois-Lacoste, Leslie Pérez Cáceres,
Thomas Stützle, Mauro Birattari, Eric Yuan and Prasanna Balaprakash
Antonio Mora <antoniocmora@gmail.com>, Ian Donaldson <ian.oslo@gmail.com>
Eufrasio de A. Lima Neto with contribution from Claudio A.
Vasconcelos
Jonathan Callahan [aut, cre],
Rob Casey [aut],
Mary Templeton [aut]
Matthias Gamer <m.gamer@uke.uni-hamburg.de>, Jim Lemon
<jim@bitwrit.com.au>, Ian Fellows <ifellows@uscd.edu> Puspendra
Singh <puspendra.pusp22@gmail.com>
William Kyle Hamilton <kyle.hamilton@gmail.com>, Atsushi Mizumoto
<atsushi@mizumot.com>
Claus Ekstrom <ekstrom@sund.ku.dk> and Helle Sorensen <helle@math.ku.dk>
Ricardo Jorge de Almeida Queiroz Filho <rjaqfcin@gmail.com>,
Roberta Andrade de Araujo Fagundes <raaf@cin.ufpe.br>
Claudia van Borkulo, Sacha Epskamp, with contributions from Alexander Robitzsch
Gareth James, Daniela Witten, Trevor Hastie and Rob Tibshirani
Original S functions written by Janet E. Heffernan with R port and R
documentation provided by Alec G. Stephenson.
Byeong Yeob Choi, Jason P. Fine and M. Alan Brookhart
Sandra Barragán, Miguel A. Fernández and Cristina Rueda.
Christian Buchta [aut],
Kurt Hornik [aut, cre]
Dan Lin, Setia Pramana, Tobias Verbeke and Ziv Shkedy
Gerald Quon [aut], Catalina V Anghel [aut, trl], Syed Haider [aut], Francis Nguyen [aut], Amit G Deshwar [aut], Quaid D
Morris [aut], Paul C Boutros [aut, cre]
Patrick Mair [aut, cre], Jan De Leeuw [aut], Kurt Hornik [aut]
Mary C Meyer, Jiwen Wu, and Jean D. Opsomer
Uwe Block <u.block.mz@googlemail.com>, using an algorithm by
Hatto von Hatzfeld <hatto@salesianer.de>
Premal Shah, Benjamin Fitzpatrick, James Fordyce
Randy Lai [aut, cre], Martin Broadhurst [aut]
John A. Ramey <johnramey@gmail.com>,
Kayla Schaefer <kschaefer.tx@gmail.com>
Alex Goldstein (itree modifications) Terry Therneau, Beth
Atkinson, Brian Ripley (rpart)
Portfolio & Risk Advisory Group, Commerzbank Securities
Jacolien van Rij [aut, cre],
Martijn Wieling [aut],
R. Harald Baayen [aut],
Hedderik van Rijn [aut]
Weihua An, Huizi Xu, and Zhida Zheng, Indiana University
Bloomington
Alex Lenkoski, Anna Karl, Andreas Neudecker
Yang Jiang, Hyunseung Kang, and Dylan Small
Paul Staab [aut, cre, cph],
Lisha Mathew [aut, cph],
Dirk Metzler [aut, cph, ths]
Klaus Nordhausen, Jean-Francois Cardoso, Jari Miettinen, Hannu Oja, Esa Ollila, Sara Taskinen
Chaitanya R. Acharya and Andrew S. Allen
Markus Helbig <info@markushelbig.de>, Simon Urbanek, Ian Fellows
Qin Wenfeng, and the authors of CppJieba for the included version of
CppJieba
Emil A. Cornea, Liddy M. Chen, Bahjat F. Qaqish, Haitao Chu, and Joseph G. Ibrahim
Pete Philipson, Ines Sousa, Peter Diggle, Paula Williamson,
Ruwanthi Kolamunnage-Dona, Robin Henderson
Feifei Zheng, Michael Leonard, Seth Westra
Ehsan Bahrami Samani and Zhale Tahmasebinejad
Jeroen Ooms, Duncan Temple Lang, Lloyd Hilaiel
Michel Grabisch, Ivan Kojadinovic, Patrick Meyer.
Soo-Heang Eo [aut, cre],
Seung-Mo Hong [ctb],
HyungJun Cho [aut]
Dave Zes, Jimmy Lewis, Dana Landis @ Korn/Ferry International
Bjorn Andersson, Kenny Branberg and Marie Wiberg
Alejandro Quintela del Rio and Graciela Estevez Perez
Yves Deville, David Ginsbourger, Olivier Roustant. Contributors: Nicolas Durrande.
Alexandros Karatzoglou [aut, cre],
Alex Smola [aut],
Kurt Hornik [aut]
Matt Wand [aut],
Brian Ripley [trl, cre, ctb] (R port and updates)
Angelo Mazza, Antonio Punzo, Brian McGuire
Victor Moreno, Nilanjan Chatterjee, Bhramar Mukherjee
Johannes Ranke [aut, cre, cph],
Katrin Lindenberger [ctb]
Terry Therneau, Elizabeth Atkinson, Jason Sinnwell, Daniel Schaid, Shannon McDonnell
Michael P. Nobis [cre, aut], Signe Normand [ctb]
Christian Roever, Nils Raabe, Karsten Luebke, Uwe Ligges, Gero Szepannek, Marc Zentgraf
Yifan Yang <yifan.yang@uky.edu> , Mai Zhou<mai@ms.uky.edu>
Christophe Genolini [cre, aut],
Bruno Falissard [ctb]
Christophe Genolini [cre, aut],
Bruno Falissard [ctb],
Jean-Baptiste Pingault [ctb]
Mamoun O. Benghezal [aut, cre],
Christophe Genolini [ctb]
Original by Klein and Moeschberger, modifications by Jun Yan
<jun.yan@uconn.edu>
Adam Vogt [ctb],
Alastair Andrew [ctb],
Alex Zvoleff [ctb],
Andre Simon [ctb] (the CSS files under inst/themes/ were derived from
the Highlight package http://www.andre-simon.de),
Ashley Manton [ctb],
Brian Diggs [ctb],
Cassio Pereira [ctb],
David Robinson [ctb],
Donald Arseneau [ctb, cph] (the framed package at inst/misc/framed.sty),
Doug Hemken [ctb],
Duncan Murdoch [ctb],
Fabian Hirschmann [ctb],
Fitch Simeon [ctb],
Frank E Harrell Jr [ctb] (the Sweavel package at inst/misc/Sweavel.sty),
Gregoire Detrez [ctb],
Hadley Wickham [ctb],
Heewon Jeon [ctb],
Henrik Bengtsson [ctb],
Hiroaki Yutani [ctb],
Jake Burkhead [ctb],
James Manton [ctb],
Jared Lander [ctb],
Jeff Arnold [ctb],
Jeremy Ashkenas [ctb, cph] (the CSS file at
inst/misc/docco-classic.css),
Jeremy Stephens [ctb],
Jim Hester [ctb],
Joe Cheng [ctb],
Johannes Ranke [ctb],
John Honaker [ctb],
John Muschelli [ctb],
Jonathan Keane [ctb],
JJ Allaire [ctb],
Johan Toloe [ctb],
Joseph Larmarange [ctb],
Julien Barnier [ctb],
Kaiyin Zhong [ctb],
Kevin K. Smith [ctb],
Kirill Mueller [ctb],
Kohske Takahashi [ctb],
Michael Friendly [ctb],
Michel Kuhlmann [ctb],
Nacho Caballero [ctb],
Nick Salkowski [ctb],
Noam Ross [ctb],
Qiang Li [ctb],
Ramnath Vaidyanathan [ctb],
Richard Cotton [ctb],
Robert Krzyzanowski [ctb],
Romain Francois [ctb],
Scott Kostyshak [ctb],
Sietse Brouwer [ctb],
Simon de Bernard [ctb],
Taiyun Wei [ctb],
Thibaut Assus [ctb],
Thibaut Lamadon [ctb],
Thomas Leeper [ctb],
Tom Torsney-Weir [ctb],
Trevor Davis [ctb],
Viktoras Veitas [ctb],
Weicheng Zhu [ctb],
Wush Wu [ctb],
Zachary Foster [ctb],
Yihui Xie [aut, cre]
Boxian Wei & Fan Yang & Xinmiao Wang & Yanni Ge
Rina Foygel Barber, Emmanuel Candes, Evan Patterson
Stefano Cacciatore, Claudio Luchinat, Leonardo Tenori
m.eik michalke [aut, cre],
Earl Brown [ctb],
Alberto Mirisola [ctb],
Alexandre Brulet [ctb],
Laura Hauser [ctb]
Jocelyn T. Chi [aut, cre],
Eric C. Chi [ctb]
Clement Chevalier, Victor Picheny and David Ginsbourger
Jens Hainmueller (Stanford) Chad Hazlett (UCLA)
Youyi Fong <youyifong@gmail.com>, Saheli Datta, Krisztian Sebestyen
Fritz Scholz [aut, cre],
Angie Zhu [aut]
Christina Stahl [aut, cre],
David Meyer [aut]
Claus Ekstrom <ekstrom@sund.ku.dk>, Ib M. Skovgaard <ims@life.ku.dk>, Torben Martinussen <tma@sund.ku.dk>
Youyi Fong <yfong@fhcrc.org>, Krisztian Sebestyen <ksebestyen@gmail.com>
Brian Close <brian.close@gmail.com> and Igor Zurbenko <IZurbenko@albany.edu>
Wei Yang <peterwyang@gmail.com> and Igor Zurbenko
<igorg.zurbenko@gmail.com>
Derek Cyr <cyr.derek@gmail.com> and Igor Zurbenko <igorg.zurbenko@gmail.com>.
John Ehrlinger [aut, cre], Hemant Ishwaran [aut]
Vahid PARTOVI NIA, Anthony Davison, and Arpit Chaudhary
Stefano M.Iacus <stefano.iacus@unimi.it> and Guido Masarotto
<guido@sirio.stat.unipd.it>
Andreas Alfons [aut, cre],
Josef Holzer [aut],
Matthias Templ [aut]
Laercio Junio da Silva <laerciojunio@yahoo.com.br>
Michael Friendly [aut, cre], Dennis Murphy [ctb], Martin Monkman [ctb], Chris Dalzell [ctb]
Luke Winslow, Jake Zwart, Ryan Batt, Jessica Corman, Hilary Dugan, Paul
Hanson, Aline Jaimes, Jordan Read, Richard Woolway
Richard Zijdeman [aut, cre],
Josemiguel Lana-Berasain [ctb]
Weihua An and Xuefu Wang, Indiana University Bloomington
Trevor Hastie <hastie@stanford.edu> and Brad Efron
<brad@stat.stanford.edu>
Justin Lokhorst, Bill Venables and Berwin Turlach;
port to R, tests etc: Martin Maechler <maechler@stat.math.ethz.ch>
Pavel N. Krivitsky [aut, cre],
Mark S. Handcock [aut],
Susan M. Shortreed [ctb],
Jeremy Tantrum [ctb],
Peter D. Hoff [ctb],
Li Wang [ctb],
Kirk Li [ctb]
Deepayan Sarkar <deepayan.sarkar@r-project.org>, Felix Andrews <felix@nfrac.org>
Douglas Nychka [aut, cre], Dorit Hammerling [aut], Stephan Sain [aut], Nathan Lenssen [aut]
Yves Rosseel [aut, cre],
Daniel Oberski [ctb],
Jarrett Byrnes [ctb],
Leonard Vanbrabant [ctb],
Victoria Savalei [ctb],
Ed Merkle [ctb],
Michael Hallquist [ctb],
Mijke Rhemtulla [ctb],
Myrsini Katsikatsou [ctb],
Mariska Barendse [ctb]
Scott Chamberlain [aut, cre],
Jeff Hollister [aut]
(in alphabetical order)
Joseph L. Gastwirth <jlgast@gwu.edu>;
Yulia R. Gel <ygl@utdallas.edu>;
W. L. Wallace Hui <wlwhui@uwaterloo.ca>;
Vyacheslav Lyubchich <lyubchic@cbl.umces.edu>;
Weiwen Miao <miao@macalester.edu>;
Kimihiro Noguchi <kinoguchi@ucdavis.edu>
Mauro Birattari <mbiro@ulb.ac.be> and Gianluca Bontempi
<gbonte@ulb.ac.be>
Enio G. Jelihovschi <eniojelihovs@gmail.com>  and
Ivan Bezerra Allaman <ivanalaman@gmail.com>
Antonio Coppola [aut, cre, cph],
Brandon Stewart [aut, cph],
Naoaki Okazaki [aut, cph],
David Ardia [ctb, cph],
Dirk Eddelbuettel [ctb, cph],
Katharine Mullen [ctb, cph],
Jorge Nocedal [ctb, cph]
John C Nash [aut, cre],
Ciyou Zhu [aut],
Richard Byrd [aut],
Jorge Nocedal [aut],
Jose Luis Morales [aut]
Pierre-Jerome Bergeron and Vahid Partovi Nia
Arafat TAYEB <arafat.tayeb@ircm.qc.ca>, Alexandre BUREAU
<alexandre.bureau@msp.ulaval.ca> and Aurelie Labbe
<aurelie.labbe@mcgill.ca>
Antoine Tremblay, Department of Psychology, Dalhousie University
Cecile Proust-Lima, Viviane Philipps, Amadou Diakite and Benoit Liquet
Carson Sievert [aut, cre],
Kenny Shirley [aut]
Charlie Casper and Oscar A. Perez.  Based on FORTRAN
program ld98.
David Desrousseaux, Florian Sandron, Aurelie Siberchicot,
Christine Cierco-Ayrolles and Brigitte Mangin
Ji-Hyung Shin <shin@sfu.ca>, Sigal Blay <sblay@sfu.ca>,
Nicholas Lewin-Koh <nikko@hailmail.net>, Brad McNeney
<mcneney@sfu.ca>, Jinko Graham <jgraham@sfu.ca>
Ehsan Masoudi, Majid Sarmad and Hooshang Talebi
Eero Liski [aut, cre],
Klaus Nordhausen [aut],
Hannu Oja [aut],
Anne Ruiz-Gazen [aut]
Joe Cheng [aut, cre],
Yihui Xie [aut],
Hadley Wickham [ctb],
jQuery Foundation and contributors [ctb, cph] (jQuery library),
Vladimir Agafonkin [ctb, cph] (Leaflet library),
CloudMade [cph] (Leaflet library),
Leaflet contributors [ctb] (Leaflet library),
Leaflet Providers contributors [ctb, cph] (Leaflet Providers plugin),
RStudio [cph]
Christian Graul, with contributions from Francois Guillem
Yunting Sun <yunting.sun@gmail.com> , Nancy R.Zhang
<nzhang@stanford.edu>, Art B.Owen <owen@stanford.edu>
Thomas Lumley <tlumley@u.washington.edu> using Fortran code by
Alan Miller
Lafaye de Micheaux Pierre, Drouilhet Remy, Liquet Benoit
David W. Gerbing, School of Business Administration, Portland State University
Simen Gaure, Ragnar Frisch Centre for Economic Research
B. M. Taylor, T. M. Davies, B. S. Rowlingson, P. J. Diggle. Additional
code contributions from E. Pebesma.
Steffen Greilich and the libamtrack team
Thibault Helleputte <thibault.helleputte@dnalytics.com>; Pierre Gramme
<pierre.gramme@dnalytics.com>
Ehsan Bahrami Samani and Parisa ParsaMaram
Giorgio Alfredo Spedicato [cre,aut], Reinhold Kainhofer [ctb], Kevin J. Owens [ctb], Christophe Dutang [ctb]
Miaozhu Li [ctb],
Tengfei Yin [ctb],
Nan Xiao [aut, cre]
David Balding, Adrian Timpson, Christopher Steele, Mayeul d'Avezac, James Hetherington.
Jason Bryer <jason@bryer.org>, Kimberly Speerschneider
<kimkspeer@gmail.com>
Karline Soetaert <karline.soetaert@nioz.nl>,
Dick van Oevelen<dick.vanoevelen@nioz.nl>
Karline Soetaert [aut, cre],
Karel Van den Meersche [aut],
Dick van Oevelen [aut],
LAPACK authors [cph]
Ethan Z. Welty [aut, cre],
Christian E. Torgersen [ctb] (author support and guidance),
Samuel J. Brenkman [ctb] (elwha and quinault datasets),
Jeffrey J. Duda [ctb] (elwha dataset),
Jonathan B. Armstrong [ctb] (fishmotion dataset)
Derick L. Rivers <riversdl@vcu.edu> and Edward L. Boone
Sriharsha Veeramachaneni and Ken Williams
Alex T. Kalinka <alex.t.kalinka@gmail.com>, with contributions from Alain Guenoche
Yi Xu <statxy@gmail.com> and Jixiang Wu <jixiang.wu@sdstate.edu>
Yannick Baraud, Christophe Giraud, Sylvie Huet
Graeme Blair [aut, cre], Kosuke Imai [aut, cre], Bethany Park [ctb],
Alexander Coppock [ctb]
Lars Kotthoff [aut,cre],
Bernd Bischl [aut],
Barry Hurley [ctb],
Talal Rahwan [ctb]
Holger Diedrich, Dr. Markus Abel (Department of Physics,
University Potsdam)
Marc Adams [aut, cre],
authors of R function 'lm' [ctb] (general interface),
authors of 'lm.gls' [ctb] (interface and R code for covariate weights),
U.S. NIST [ctb] (C++ code for TNT::Vector template)
Douglas Bates [aut], Martin Maechler [aut],
Ben Bolker [aut, cre], Steven Walker [aut],
Rune Haubo Bojesen Christensen [ctb],
Henrik Singmann [ctb], Bin Dai [ctb],
Gabor Grothendieck [ctb]
Yinshan Zhao and Yumi Kondo (with contributions from Steven G. Johnson, Rudolf Schuerer and Brian Gough on the integration subroutines)
Antoine Tremblay, Dalhousie University, and Johannes Ransijn, University of Copenhagen
Alexandra Kuznetsova [aut, cre],
Per Bruun Brockhoff [aut, ths],
Rune Haubo Bojesen Christensen [aut]
Francesco Bartolucci, Silvia Pandolfi - University of Perugia (IT)
Jasmin Straube [aut, cre],
Kim-Anh Le Cao [aut],
Emma Huang [aut],
Dominique Gorse [ctb]
Torsten Hothorn [aut],
Achim Zeileis [aut, cre],
Richard W. Farebrother [aut] (pan.f),
Clint Cummins [aut] (pan.f),
Giovanni Millo [ctb],
David Mitchell [ctb]
Yongsheng Li,Zishan Wang,Juan Xu*,Xia Li*
Claudio Agostinelli <claudio@unive.it>, Mario Romanazzi <romanaz@unive.it> and SLATEC Common Mathematical Library <www.netlib.org/slatec>
Walerian Sokolowski [aut, cre, cph],
Wit Jakuczun [aut, cph],
Natalia Okinczyc [aut],
Bogumil Kaminski [aut]
Bradley Efron [aut],
Brit Turnbull [aut],
Balasubramanian Narasimhan [aut, cre],
Korbinian Strimmer [ctb]
Ahmad Vaez, Ilja M. Nolte, Peter J. van der Most
John Myles White [aut, cph],
Kenton White [ctb],
Kirill Müller [ctb, cre]
Madeleine Cule, Robert Gramacy, Richard Samworth, Yining Chen
Dominic Schuhmacher <dominic.schuhmacher@mathematik.uni-goettingen.de>, Kaspar Rufibach <kaspar.rufibach@gmail.com>, Lutz Duembgen <duembgen@stat.unibe.ch>
Kaspar Rufibach <kaspar.rufibach@gmail.com> and Lutz Duembgen <duembgen@stat.unibe.ch>
Kaspar Rufibach <kaspar.rufibach@gmail.com> and Fadoua Balabdaoui <fadoua@ceremade.dauphine.fr> and Hanna Jankowski <hkj@mathstat.yorku.ca> and Kathrin Weyermann <kathrin.weyermann@bkw-fmb.ch>
Thomas L. Vincent <tlfvincent@gmail.com>, Peter J. Green and Derek N. Woolfson <D.N.Woolfson@bristol.ac.uk>
Charles Kooperberg <clk@fredhutch.org> and Ingo Ruczinski <ingo@jhu.edu>
Georg Heinze <georg.heinze@meduniwien.ac.at>, Meinhard Ploner,
Daniela Dunkler (former versions), Harry Southworth (former
versions)
Pei Wang <pwang@fhcrc.org>, Dennis Chao <dchao@fhcrc.org>, Li
Hsu <lih@fhcrc.org>
Eva Herrmann <eherrmann@mathematik.tu-darmstadt.de> (F77 & S original);
Packaged for R and enhanced by Martin Maechler
Thomas Ruf, partially based on C original by Press et al. (Numerical Recipes)
Stephen Tueller. Funded by the National Institute on Drug Abuse (NIDA) Award number 1R03DA030850 and the National Institute on Alcohol Abuse and Alcoholism (NIAAA) Award Number R03 AA019775.
Paul D. McNicholas [aut, cre], K. Raju Jampani [aut] (May to Dec 2012), Sanjeena Subedi [aut]
Rainer Opgen-Rhein and Korbinian Strimmer.
Christophe Genolini [cre, aut],
Bruno Falissard [ctb],
Dai Fang [ctb],
Luke Tierney [ctb]
S scripts originally by Jan Beran <jan.beran@uni-konstanz.de>;
Datasets via Brandon Whitcher <brandon@stat.washington.edu>.
Toplevel R functions and much more by Martin Maechler.
Michael C. Donohue, Anthony C. Gamst, Steven D. Edland
Aki Vehtari [aut],
Andrew Gelman [aut],
Jonah Gabry [cre, aut],
Juho Piironen [ctb]
Seung W. Choi, with contributions from Laura E. Gibbons and
Paul K. Crane
John T. Ormerod <jormerod@sydney.edu.au>, M. P. Wand
<matt@maths.unsw.edua.au>
Timothee Poisot <tim@poisotlab.io>, Daniel B Stouffer <daniel.stouffer@canterbury.ac.nz>
Corrado Tallerini [aut, cre],
Salvatore Grimaldi [aut]
Haiming Zhou <zhouh@email.sc.edu> and Xianzheng Huang <huang@stat.sc.edu>
Burkhardt Seifert <seifert@ifspm.unizh.ch> (S original);
Packaged for R by Martin Maechler
lp_solve <http://lpsolve.sourceforge.net/>,
Kjell Konis <kjell.konis@me.com>.
Learned Pattern Similarity (LPS) for time series by Mustafa Gokce Baydogan
Ajith Dissanayake [aut, cre],
P. Wijekoon [aut],
R-core [cph]
Idris Eckley and Guy Nason, with contributions from Sarah Taylor and Matthew Nunes
Sarah Taylor [aut], Matt Nunes [aut, cre], Idris Eckley [ctb, ths]
Pieter Schoonees [aut, cre], Patrick Groenen [ctb]
Bjoern Schwalb, Achim Tresch, Phillipp Torkler, Sebastian Duemcke, Carina Demel
Russell V. Lenth [aut], Maxime Hervé [ctb]
Lin Huang <lh2123@columbia.edu>, Zhezhen Jin <zj7@columbia.edu>
Joshua Schwab [aut, cre],
Samuel Lendle [aut],
Maya Petersen [aut],
Mark van der Laan [aut],
Susan Gruber [ctb]
Betul Kan Kilinc [aut, cre], Ozlem Alpu [aut, cre]
Naresh Kumar, Dong Liang, Jin Chen, Jun Chen
Garrett Grolemund [aut, cre],
Hadley Wickham [aut],
Vitalie Spinu [ctb],
Imanuel Constigan [ctb],
Chel Hee Lee [ctb],
Richard Cotton [ctb],
Ian Lyttle [ctb],
Winston Chang [ctb]
Ji-Hyung Shin <shin@sfu.ca>, Brad McNeney
<mcneney@stat.sfu.ca>, Jinko Graham <jgraham@stat.sfu.ca>
Sebastian Kreutzer [aut, trl, cre],
Michael Dietze [aut],
Christoph Burow [aut],
Margret C. Fuchs [aut],
Christoph Schmidt [aut],
Manfred Fischer [aut, trl],
Rachel K. Smedley [aut],
Markus Fuchs [ths]
Ehsan Bahrami Samani and Nourallah Tazikeh Miyandarreh
Yi Liu [aut, cre],
Richard A. Olshen [aut],
Andrew Z. Fire [ctb],
Scott D. Boyd [ctb]
Stefan Milton Bache <stefan@stefanbache.dk> and
Hadley Wickham <h.wickham@gmail.com>
Statistical Consulting - intelligent data analysis, stochastic modelling and statistical inference, Dr. Lin Himmelmann
Pedro Duarte Silva <psilva@porto.ucp.pt> Paula Brito <mpbrito.fep.up.pt>
Sebastian Gibb [aut, cre],
Korbinian Strimmer [ths]
Sebastian Gibb [aut, cre],
Pietro Franceschi [ctb]
Thomas Jaki <jaki.thomas@gmail.com>  and Dominic Magirr <d.magirr@gmail.co.uk>
Jirka Lewandowski [aut, cre],
Nicolas Merz [aut],
Sven Regel [ctb],
Pola Lehmann [ctb]
JJ Allaire [aut, cre] (R interface),
RStudio [cph]
Lauren L. Hulsman Hanna and David G. Riley
Nikolaos Kourentzes and Fotios Petropoulos
Original S code by Richard A. Becker and Allan R. Wilks.
R version by Ray Brownrigg <Ray.Brownrigg@ecs.vuw.ac.nz>.
Veronica Vieira, Scott Bartell, and Robin Bliss
Patrick Brown <patrick.brown@utoronto.ca> [aut, cre]
Doug McIlroy.  Packaged for R by Ray Brownrigg and Thomas P
Minka, transition to Plan 9 codebase by Roger Bivand.
Original S code by Richard A. Becker and Allan R. Wilks.
R version by Ray Brownrigg <Ray.Brownrigg@ecs.vuw.ac.nz>.
Enhancements by Thomas P Minka <tpminka@media.mit.edu>
Roger Bivand [cre, aut],
Nicholas Lewin-Koh [aut],
Edzer Pebesma [ctb],
Eric Archer [ctb],
Adrian Baddeley [ctb],
Hans-Jörg Bibiko [ctb],
Steven Brey [ctb],
Jonathan Callahan [ctb],
German Carrillo [ctb],
Stéphane Dray [ctb],
David Forrest [ctb],
Michael Friendly [ctb],
Patrick Giraudoux [ctb],
Duncan Golicher [ctb],
Virgilio Gómez Rubio [ctb],
Patrick Hausmann [ctb],
Karl Ove Hufthammer [ctb],
Thomas Jagger [ctb],
Sebastian Luque [ctb],
Don MacQueen [ctb],
Andrew Niccolai [ctb],
Edzer Pebesma [ctb],
Oscar Perpiñán Lamigueiro [ctb],
Tom Short [ctb],
Greg Snow [ctb],
Ben Stabler [ctb],
Murray Stokely [ctb],
Rolf Turner [ctb]
Denis White, Robert B. Gramacy <rbgramacy@chicagobooth.edu>
Karline Soetaert <karline.soetaert@nioz.nl>,
Thomas Petzoldt <thomas.petzoldt@tu-dresden.de>,
Filip Meysman <filip.meysman@nioz.nl>
Aurelie Siberchicot, Clement Rezvoy, Delphine Charif, Laurent Gueguen and Gabriel Marais
JJ Allaire, Jeffrey Horner, Vicent Marti, and Natacha Porte
Jeff Laake <jeff.laake@noaa.gov>, Devin Johnson
<devin.johnson@noaa.gov>, Paul Conn <paul.conn@noaa.gov>
Giorgio Alfredo Spedicato [aut,cre], Tae Seung Kang [aut], Sai Bhargav Yalamanchi [aut], Mildenberger Thoralf [ctb]
Eric Pante, Benoit Simon-Bouhet, and Jean-Olivier Irisson
D. Commenges <Daniel.Commenges@isped.u-bordeaux2.fr>, M. Prague
<Melanie.Prague@isped.u-bordeaux2.fr> and A. Diakite
Eli Holmes, Eric Ward, and Kellie Wills, NOAA, Seattle, USA
Andreas Dominik Cullmann [aut, cre],
Daniel Mandallaz [ctb],
Alexander Francis Massey [ctb]
Brian Ripley [aut, cre, cph],
Bill Venables [ctb],
Douglas M. Bates [ctb],
Kurt Hornik [trl] (partial port ca 1998),
Albrecht Gebhardt [trl] (partial port ca 1998),
David Firth [ctb]
Gary King, Christopher Lucas, and Richard Nielsen
Daniel Ho <daniel.e.ho@gmail.com>, Kosuke Imai
<kimai@Princeton.Edu>, Gary King <king@harvard.edu>, Elizabeth
Stuart <stuart@stat.harvard.edu>
Original S code by Patrick J. Burns. Ported to R by Nick
Efthymiou. Adapted to new R releases by Claus Dethlefsen.
Ben Murrell, Dan Murrell & Hugh Murrell.
Daniel Braithwaite [aut, cre],
Kevin Keegan [aut],
University of Chicago [cph]
Douglas Bates <bates@stat.wisc.edu> and Martin Maechler
Douglas Bates <bates@stat.wisc.edu> and Martin Maechler <maechler@stat.math.ethz.ch>
Henrik Bengtsson [aut, cre, cph], Hector Corrada Bravo [ctb], Robert Gentleman [ctb], Ola Hossjer [ctb], Harris Jaffee [ctb], Dongcan Jiang [ctb], Peter Langfelder [ctb]
Authors@R: c(person("William Kyle", "Hamilton", role = c("aut", "cre"),
email = "kyle.hamilton@gmail.com"),
person("Atsushi", "Mizumoto", role = "aut"),
person("Burak", "Aydin", role = c("ctb", "trl"),
person("Kathleen", "Coburn", role = "ctb"))
Chih-Yi Chien, Chen-An Tsai, Ching-Wei Chang, and James J. Chen
Jianan Tian <jiant17@gmail.com>, Chenliang Xu
<lucky.random@gmail.com>
Ott Toomet <otoomet@gmail.com>,
Arne Henningsen <arne.henningsen@gmail.com>,
with contributions from Spencer Graves and Yves Croissant
Jonathan Callahan [aut, cre],
Will Leahy [aut],
Henry Nguyen [aut],
Robin Winstanley [aut]
Andrew O. Finley <finleya@msu.edu>, Sudipto Banerjee
<sudiptob@biostat.umn.edu>
Giorgio Spedicato [aut, cre],
Christophe Dutang [aut],
Markus Gesmann [ctb]
Stefan Roediger [aut, cre],
Michal Burdukiewicz [ctb]
Victor Urrea, Malu Calle, Kristel Van Steen, Nuria Malats
Torsten Hothorn [aut, cre],
Peter Buehlmann [aut],
Thomas Kneib [aut],
Matthias Schmid [aut],
Benjamin Hofner [aut],
Fabian Sobotka [ctb],
Fabian Scheipl [ctb]
Regis Pouillot [aut, cre],
Marie-Laure Delignette-Muller [ctb],
Jean-Baptiste Denis [ctb]
Patrick Meyer, Sébastien Bigaret, Richard Hodgett
Gregory R. Warnes <greg@warnes.net>, Robert Burrows
Thierry Chenard [aut],
Rafael Najmanovich [aut, cre]
Minjeong Jeon, Cari Kaufman, and Sophia Rabe-Hesketh
Chris Fraley [aut],
Adrian E. Raftery [aut],
Luca Scrucca [aut, cre],
Thomas Brendan Murphy [ctb],
Michael Fop [ctb]
Charles J. Geyer <charlie@stat.umn.edu> and Leif T. Johnson
<ltjohnson@google.com>
Fernando Ferraz do Nascimento [aut, cre], Wyara Vanesa Moura e Silva [aut, ctb]
Andrew D. Martin, Kevin M. Quinn, and Jong Hee Park
S. McKay Curtis [aut, cre],
Ilya Goldin [ctb],
Evangelos Evangelou [ctb],
'sumtxt' from GitHub [ctb]
James M. Flegal <jflegal@ucr.edu>, John Hughes
<hughesj@umn.edu> and Dootika Vats <vatsx007@umn.edu>
Olaf Mersmann [aut, cre],
Heike Trautmann [ctb],
Detlef Steuer [ctb],
Bernd Bischl [ctb],
Kalyanmoy Deb [cph]
Rob J Hyndman with assistance from Muhammad Akram and Christoph
Bergmeir.
Frank Schaarschmidt [aut, cre], Daniel Gerhard [aut], Martin Sill [aut]
Bjoern Bornkamp, Jose Pinheiro and Frank Bretz
Ekaterina Manuilova <ekaterina.manuilova@roche.com> Andre Schuetzenmeister <andre.schuetzenmeister@roche.com> Fabian Model <fabian.model@roche.com>
Christian P. Robert, Universite Paris Dauphine
S original by Trevor Hastie & Robert Tibshirani. Original R port by Friedrich Leisch, Kurt Hornik and Brian D. Ripley.
Glenn De'ath <g.death@aims.gov.au>; Code for mdm was adapted from multinom in the nnet package (Brian Ripley <ripley@stats.ox.ac.uk> and Bill Venables <Bill.Venables@csiro.au>)
Iadine Chades, Guillaume Chapron, Marie-Josee Cros, Frederick Garcia, Regis Sabbadin
Antonio Hermes M. da Silva-Junior [aut, cre], Damiao N. da Silva [aut], Silvia L. P. Ferrari [ctb]
Robert X.D. Hawkins <rxdh@stanford.edu>, Joe Houpt
<joseph.houpt@wright.edu>, Noah Silbert <noahpoah@gmail.com>, Leslie
Blaha <Leslie.Blaha@wpafb.af.mil>, Thomas D. Wickens
<twickens@socrates.berkeley.edu>
Wilson Lara, Carlos Sierra, Felipe Bravo
Hrishikesh D. Vinod <Vinod@fordham.edu> and Javier
López-de-Lacalle
Johan Steen [aut, cre],
Tom Loeys [aut],
Beatrijs Moerkerke [aut],
Stijn Vansteelandt [aut],
Joris Meys [ctb] (technical support),
Theis Lange [ctb] (valuable suggestions)
Dustin Tingley <dtingley@gov.harvard.edu>,
Teppei Yamamoto <teppei@mit.edu>,
Kentaro Hirose <hirose@princeton.edu>,
Luke Keele <ljk20@psu.edu>,
Kosuke Imai <kimai@princeton.edu>
Patrick McCormick [aut, cre],
Thomas Joseph [aut]
Adriano Polpo <polpo@ufscar.br>, Carlos Alberto de Braganca
Pereira <cpereira@ime.usp.br>
Jun Zhu <junzhu@cs.cmu.edu>, Aykut FIRAT <aykut@mit.edu>
Jose E. Lozano Alonso <lozalojo@jcyl.es>
Martin Elff (with contributions by Christopher N. Lawrence, Dave Atkins, Jason W. Morgan, Deepayan Sarkar, Achim Zeileis)
Douglas Bates <bates@stat.wisc.edu>,
Martin Maechler <maechler@R-project.org> and
Ben Bolker <bbolker@gmail.com>
Drew Schmidt [aut, cre],
Christian Heckendorf [ctb],
Wei-Chen Chen [ctb]
Xiaoyue Cheng, Dianne Cook, Heike Hofmann
Nyamundanda Gift, Isobel Claire Gormley and Lorraine Brennan.
Sean C. Anderson [aut, cre],
Jonathan W. Moore [ctb],
Michelle M. McClure [ctb],
Nicholas K. Dulvy [ctb],
Andrew B. Cooper [ctb]
Thomas W. D. Möbius <kontakt@thomasmoebius.de>
Frederico Mestre, Fernando Canovas, Ricardo Pita, Antonio Mira, Pedro
Beja.
Don Kang <donkang75@gmail.com> and George Tseng
<ctseng@pitt.edu>
Guillemette Marot, Florence Jaffrezic, Andrea Rau
Guido Schwarzer [aut, cre],
James Carpenter [aut],
Gerta Rücker [aut]
Milan Kilibarda, Aleksandar Sekulic, Tomislav Hengl, Edzer Pebesma, Benedikt Graeler
Oscar Perpinan Lamigueiro [cre, aut],
Marcelo Pinho Almeida [ctb]
Bendix Carstensen, Lyle Gurrin, Claus Ekstrom, Michal Figurski
Bob Rudis [aut, cre],
Ali Almossawi [ctb, cph] (MetricsGraphics library),
Hamilton Ulmer [ctb, cph] (MetricsGraphics library),
Mozilla [cph] (MetricsGraphics library),
jQuery Foundation and contributors [ctb, cph] (jQuery library)
Stephen L R Ellison <s.ellison@lgc.co.uk>.
Gift Nyamundanda, Isobel Claire Gormley, Yue Fan, William M Gallagher, Lorraine Brennan
Cherise R. Chin Fatt, Derek Beaton, Herve Abdi.
original by Gareth Ambler <gareth@stats.ucl.ac.uk>, modified by Axel Benner <benner@dkfz.de>
Masatoshi Katabuchi and Akihiro Nakamura
Jared O'Connell <jaredoconnell@gmail.com>, Søren Højsgaard
<sorenh@math.aau.dk>
Yves Croissant [aut, cre],
Fabrizio Carlevaro [aut],
Stephane Hoareau [aut]
Andrew Gelman [ctb],
Jennifer Hill [ctb],
Yu-Sung Su [aut],
Masanao Yajima [ctb],
Maria Pittau [ctb],
Ben Goodrich [cre, aut],
Yajuan Si [ctb],
Jon Kropko [aut]
Stef van Buuren [aut, cre],
Karin Groothuis-Oudshoorn [aut],
Alexander Robitzsch [ctb],
Gerko Vink [ctb],
Lisa Doove [ctb],
Shahab Jolani [ctb]
Arne Henningsen and Geraldine Henningsen
Olaf Mersmann [aut, cre],
Claudia Beleites [ctb],
Rainer Hurling [ctb],
Ari Friedman [ctb]
Carlos J. Gil Bellosta [aut, cre],
Carlos Neira [ctb],
José Luis Cañadas Reche [ctb]
Quinn Payton [aut],
Tony Olsen [aut],
Marc Weber [ctb],
Michael McManus [ctb],
Tom Kincaid [cre, ctb]
Dan Carr <dcarr@gmu.edu> and James B Pearson <jpearson@statnetconsulting.com>,
with contributions from Linda Pickle <linda@statnetconsulting.com>.
Virmantas Kvedaras <virmantas.kvedaras@mif.vu.lt>, Vaidotas Zemlys
<vaidotas.zemlys@mif.vu.lt>
Robin Engler <robin.engler@gmail.com> and
Wim Hordijk <wim@WorldWideWanderings.net> and
Loic Pellissier <loic.pellissier@unil.ch>
Lajos Bálint <balint@demografia.hu> and Gergely Daróczi
<daroczig@rapporter.net>
Bob Carpenter [ctb],
Ben Goodrich [cre, aut],
Yu-Sung Su [ctb]
Jeffrey Horner [ctb],
Yihui Xie [aut, cre]
Russell Steele, Naisyin Wang, and Adrian Raftery
Michele Filosi [aut, cre], Roberto Visintainer [aut], Davide
Albanese [aut], Samantha Riccadonna [ctb], Giuseppe Jurman
[ctb], Cesare Furlanello [ctb]
Revolution Analytics [aut],
Andrie de Vries [aut, cre],
Alex Chubaty [ctb]
Timur V. Elzhov, Katharine M. Mullen, Andrej-Nikolai Spiess, Ben Bolker
Douglas Bates, Katharine M. Mullen, John C. Nash, Ravi Varadhan
Surojit Biswas, Meredith McDonald, Derek S. Lundberg, Jeffery L. Dangl,
Vladimir Jojic
Johan Barthelemy [aut, cre], Thomas Suesse [aut], Mohammad Namazi-Rad [ctb]
Shannon M. Bell <bell.shannonm@gmail.com>, Lyle D. Burgoon
<burgoon.lyle@epa.gov>
Phil Chalmers [aut, cre, cph],
Joshua Pritikin [ctb],
Alexander Robitzsch [ctb],
Mateusz Zoltak [ctb]
Stephan Artmann, Klaus Jung, Tim Beissbarth
Tomaz Stupnik [aut, cre],
Maja Pohar Perme [aut]
Mortaza Jamshidian, Siavash Jalal, and Camden Jansen
Nicolas BOUSQUET, Gilles DEFAUX, Bertrand IOOSS, Vincent MOUTOUSSAMY, Clement WALTER
N. Basturk, L.F. Hoogerheide, A. Opschoor, H.K. van Dijk
Simon Grund [aut,cre], Alexander Robitzsch [aut], Oliver Luedtke [aut]
Original by Joseph L. Schafer <jls@stat.psu.edu>.
Peter Macdonald <pdmmac@mcmaster.ca>, with contributions from
Juan Du <duduyy@hotmail.com>
Y. Samuel Wang [aut, cre],
Elena A. Erosheva [aut]
Christophe Ambroise [aut],
Gilles Grasseau [aut],
Mark Hoebeke [aut],
Pierre Latouche [aut, cre],
Vincent Miele [aut],
Franck Picard [aut],
LAPACK authors [aut] (copyrights apply to src/*.f)
John Lawson [aut, cre],
Cameron Willden [aut],
Greg Piepel [ctb]
Cristina Tortora, Ryan P. Browne, Brian C. Franczak and Paul D. McNicholas.
Kristian Hovde Liland [aut, cre],
Solve Sæbø [ctb],
R-Core [ctb]
Kim-Anh Le Cao,  Ignacio Gonzalez, Sebastien Dejean with key contributors Florian Rohart, Benoit Gautier
and contributions from Pierre Monget, Jeff Coquery, FangZou Yao, Benoit Liquet.
Donald Hedeker <hedeker@uic.edu>, Kellie J. Archer, Rachel Nordgren, Robert D. Gibbons
Patrick Mair [cre, aut],
Marcus Hudec [aut]
Volodymyr Melnykov [aut, cre],
Wei-Chen Chen [aut],
Ranjan Maitra [aut]
Marcos Prates <marcosop@est.ufmg.br>, Victor Lachos
<hlachos@ime.unicamp.br> and Celso Cabral
<celsoromulo@gmail.com>
Derek Young [aut, cre],
Tatiana Benaglia [aut],
Didier Chauveau [aut],
David Hunter [aut],
Ryan Elmore [ctb],
Thomas Hettmansperger [ctb],
Hoben Thomas [ctb],
Fengjuan Xuan [ctb]
Ryan P. Browne, Aisha ElSherbiny and Paul D. McNicholas
Finlay Scott (JRC, IT) and Julia Blanchard (Sheffield University, UK)
and Ken Andersen (DTU Aqua, Copenhagen, DK)
Jeff A. Tracey, James Sheppard, Jun Zhu, Robert Sinkovts, Amit Chourasia, Glenn Lockwood, and Robert N. Fisher
Johannes Ranke [aut, cre, cph],
Katrin Lindenberger [ctb],
René Lehmann [ctb],
Eurofins Regulatory AG [cph]
Friedrich Leisch and Evgenia Dimitriadou.
Francesco Bartolucci, Silvia Bacci - University of Perugia (IT)
Ken Knoblauch [aut, cre],
Laurence T. Maloney [aut]
David Charte [cre],
Francisco Charte [aut]
Kenneth Knoblauch and Laurence T. Maloney,
based in part on C code written by Laurence T. Maloney
and J. N. Yang
Douglas Bates <bates@stat.wisc.edu>,
Martin Maechler <maechler@R-project.org> and
Ben Bolker <bolker@mcmaster.ca>
Bernd Bischl [aut, cre],
Michel Lang [aut],
Jakob Richter [aut],
Jakob Bossek [aut],
Leonard Judt [aut],
Tobias Kuehn [aut],
Erich Studerus [aut],
Lars Kotthoff [aut],
Zachary Jones [ctb]
Sacha Epskamp, Marie K. Deserno and Laura F. Bringmann
Marc Lavielle [aut, cre],
Raphael Kuate [ctb],
Romain Francois [ctb],
Fazia Bellal [ctb]
Deena M.A. Gendoo  <deena.gendoo@utoronto.ca>, Benjamin Haibe-Kains <benjamin.haibe.kains@utoronto.ca>
E. Lopez-Vizcaino, M.J. Lombardia and D. Morales
Sheng Luo, Yong Chen, Xiao Su, Haitao Chu
Lin Li, Tobias Guennel,Scott Marshall, Leo Wang-Kit Cheung
David Winter [aut, cre],
Peter Green [ctb],
Zhian Kamvar [ctb]
Hideitsu Hino, Ken Takano, Yuki Yoshikawa, and Noboru Murata
Jeffrey L. Andrews, Paul D. McNicholas, and Mathieu Chalifour
Asad Hasan, Wang Zhiyu, Alireza S. Mahani
Klaus Nordhausen, Jyrki Mottonen, Hannu Oja
Alan Genz [ctb],
Adelchi Azzalini [ctb],
Alexis Bienvenüe [aut, cre],
Christian Robert [aut]
Fortran code by Alan Genz, R code by Adelchi Azzalini
Kosuke Imai <kimai@princeton.edu>, David A. van Dyk
<dvd@uci.edu>.
Kaspar Rufibach <kaspar.rufibach@gmail.com> and Guenther Walther <gwalther@stanford.edu>
Ivan Marin-Franch <imarinfr@indiana.edu>, Kamila Zychaluk
<kamila.zychaluk@liverpool.ac.uk>, and David H. Foster
<d.h.foster@manchester.ac.uk>
Torsten Hothorn, Friedrich Leisch, Achim Zeileis
Nicholas J. Matzke, Dept. of Integrative Biology, U.C. Berkeley
Miroslav Šiman [aut],
Pavel Boček [aut, cre]
Peter Langfelder <Peter.Langfelder@gmail.com> and Steve Horvath <SHorvath@mednet.ucla.edu>
L. Andries van der Ark <L.A.vanderArk@uva.nl>
David Rossell, John D. Cook, Donatello Telesca, P. Roebuck
Lukasz Komsta <lukasz.komsta@umlub.pl>, Frederick Novomestky
<fnovomes@poly.edu>
Vincent Bonhomme, Sandrine Picq, Julien Claude with
suggestions and contributions from Cedric Gaucherel, Sarah Ivorra, Ricardo Kriebel,
Neus Martinez, Marcelo Reginato, Evan Saitta, Norbert Telmon, Asher Wishkerman.
Hannes Muehleisen [aut, cre], Thomas Lumley [ctb], Anthony Damico [ctb]
Jeroen Ooms [aut, cre],
MongoDB, Inc [cph] (Author of mongo-c-driver)
Sasha D. Hafner <sdh11@cornell.edu> and Jon Katz <jonkatz4@gmail.com>, with code for the Fourier transform from the seewave package (by Jerome Sueur, Thierry Aubin, and Caroline Simonis), and code for the readMP3 function from the tuneR package (by Uwe Ligges).
Berwin A. Turlach [aut, cre],
Kevin Murray [ctb]
This version Kay Pilz and Steffanie Titoff. Earlier
developements by Holger Dette and Kay Pilz.
Akshay Chougule <akshaychougule@email.arizona.edu>, Dr Robert Canales
<rcanales@email.arizona.edu>
Matthias Geissbuehler <matthias.geissbuehler@a3.epfl.ch>, James Manton
<ajd.manton@googlemail.com>
Stefan Schlager [aut, cre, cph],
Gregory Jefferis [ctb]
Marie Laure Delignette-Muller [aut, cre], Philippe Ruiz [aut, cre], Sandrine Charles [aut], Wandrille Duchemin [ctb], Christelle Lopes [ctb], Philippe Veber [ctb]
Randall Pruim <rpruim@calvin.edu>, Daniel Kaplan
<kaplan@macalester.edu>, Nicholas Horton <nhorton@amherst.edu>
Birgit Erni <birgit.erni@uct.ac.za>. Based on models
developed by Underhill and Zucchini (1988, 1990).
Moreno I. Coco and Nicholas D. Duran with contributions of Rick Dale, Denis O'Hora and Michael J. Spivey.
Bart Kranstauber <bart.kranstauber@uni-konstanz.de>, Marco Smolla <marco.smolla@postgrad.manchester.ac.uk>
Kurt Hornik [aut, cre],
Bettina Grün [aut]
Daniel Hernando Rodriguez <dhrodriguezt@unal.edu.co> & Campo
Elias Pardo <cepardot@unal.edu.co>
Quentin Grimonprez with contributions from Guillemette Marot and Samuel
Blanck. Some functions use code created by Sjoerd Vosse, Mark van de Wiel,
Pierre Neuvial, Henrik Bengtsson.
Zhu Wang, with contributions from Achim Zeileis, Simon Jackman, Brian Ripley, Trevor Hastie, Rob Tibshirani, Balasubramanian Narasimhan, Gil Chu and Patrick Breheny
Kenneth Knoblauch and Laurence T. Maloney
Garth Tarr [aut, cre],
Samuel Mueller [aut],
Alan Welsh [aut]
Michael Hallquist [aut, cre],
Joshua Wiley [aut]
Patrick Rubin-Delanchy <patrick.rubin-delanchy@bristol.ac.uk> and Nicholas A Heard <n.heard@imperial.ac.uk>
Guillaume Guenard, with contribution from Pierre Legendre
Florian Wickelmaier [aut, cre],
Achim Zeileis [aut]
Henrik Singmann [aut, cre],
David Kellen [aut],
Quentin Gronau [aut],
Christian Mueller [ctb],
Akhil S Bhel [ctb]
Lyamine Hedjazi and Jean-Baptiste Cazier
Trent McDonald [cre, aut],
Eric Regehr [ctb],
Jeff Bromaghin [ctb]
Gemechis Dilba Djira, Mario Hasler, Daniel Gerhard, Frank
Schaarschmidt
Jeff Laake <jeff.laake@noaa.gov>, David Borchers
<dlb@st-and.ac.uk>, Len Thomas <len.thomas@st-and.ac.uk>, David
Miller <dave@ninepointeightone.net> and Jon Bishop
Yolanda Hagar, Yuanting Chen, Vanja Dukic
Nicolas De Jay, Simon Papillon-Cavanagh, Catharina Olsen, Gianluca Bontempi, Benjamin Haibe-Kains
Y. Foucher <Yohann.Foucher@univ-nantes.fr>, K. Trebern-Launay <katygre@yahoo.fr>
Patrick Brandt [aut, cre],
W. Ryan Davis [ctb]
Qing Mai <mai@stat.fsu.edu>, Yi Yang <yiyang@umn.edu>,  Hui Zou <hzou@stat.umn.edu>
Elodie Courtois <courtoiselodie@gmail.com>, Yann Guitton
<yann.guitton@gmail.com>, Florence Nicole
<florence.nicole@univ-st-etienne.fr>
Yann Guitton <yann.guitton@gmail.com> Cyrille Conord
<conord@emse.fr>
John Marden [aut, cph] and James Balamuta [cre, ctb, com]
Samuel Gerber <sgerber@cs.utah.edu>, Kristi Potter
<kpotter@sci.utah.edu>, Oliver Ruebel <ruebel1@llnl.gov>
Nicole Ferguson <nicole.ferguson@kennesaw.edu>, Somnath Datta <somnath.datta@louisville.edu>, Guy Brock <guy.brock@louisville.edu>
Xiaogang Su, Peter Calhoun, and Juanjuan Fan
Hein Putter, Liesbeth de Wreede, Marta Fiocco
Josep A. Sanchez-Espigares, Alberto Lopez-Moreno
Juhui WANG [aut, cre] (Software and Engineering), Hervé MONOD [aut] (Applications and Statistical Methods), Robert FAIVRE [ctb] (Applications and Statistical Methods), Hervé RICHARD [ctb] (Software and Engineering)
Washington Junger <wjunger@ims.uerj.br> and Antonio Ponce de
Leon <ponce@ims.uerj.br>
Thomas J. Leeper [aut, cre],
Solomon Messing [ctb],
Sean Murphy [ctb],
Jonathan Chang [ctb]
The students of the `Advanced R Programming Course' Basil Abou
El-Komboz, Andreas Bender, Abdelilah El Hadad, Laura Goeres,
Roman Hornung, Max Hughes-Brandl, Christian Lindenlaub,
Christina Riedel, Ariane Straub, Florian Wickler under the
supervision of Manuel Eugster and Torsten Hothorn
S original by Kenneth Hess, <khess@odin.mdacc.tmc.edu> R port
by R. Gentleman
Torsten Hothorn [aut, cre],
Frank Bretz [aut],
Peter Westfall [aut],
Richard M. Heiberger [ctb],
Andre Schuetzenmeister [ctb],
Susan Scheibe [ctb]
Spencer Graves, Hans-Peter Piepho and Luciano Selzer with
help from Sundar Dorai-Raj
Ana Belen Nieto Librero <ananieto@usal.es>, Nora Baccala
<norabaccala@gmail.com>, Purificacion Vicente Galindo
<purivg@usal.es>, Purificacion Galindo Villardon
<pgalindo@usal.es>
Eric Lunde, Mariza de Andrade, Beth Atkinson, Pat Votruba
James Curran, Aaron Williams, Jerome Kelleher, Dave Barber
Aida Eslami, El Mostafa Qannari, Stephanie Bougeard, Gaston Sanchez
Questions and comments go to Aida Eslami <aida.eslami@yahoo.fr> and
Stephanie Bougeard <stephanie.bougeard@anses.fr>
Francesco Bartolucci, Silvia Bacci, Michela Gnaldi - University of Perugia (IT)
Brett T. McClintock [aut, cre],
Acho Arnold [ctb, cph] (C original matrix library,
https://github.com/najela/matrix.h),
Barry Brown [ctb] (Fortran original ranlib library),
James Lovato [ctb] (Fortran original ranlib library),
John Burkardt [ctb] (C original ranlib library,
http://people.sc.fsu.edu/~jburkardt/c_src/ranlib),
Cleve Moler [ctb] (C original linpack library,
http://www.kkant.net/geist/ranlib/)
Walter R. Mebane, Jr. <wrm1@cornell.edu>, Jasjeet Singh Sekhon
<sekhon@berkeley.edu>
Lachlan Coin, Paul O'Reilly, Yotsawat Pompyen, Clive Hoggart
and Federico Calboli
Stephan Ritter <sritter@berkeley.edu>, Alan Hubbard <hubbard@berkeley.edu>, Nicholas Jewell <jewell@berkeley.edu>
Matieyendou LAMBONI <clamboni@yahoo.fr>, Herve MONOD
<herve.monod@jouy.inra.fr>, Caroline BIDOT
<caroline.bidot@jouy.inra.fr>
Karim Rahim <karim.rahim@queensu.ca>, Wesley S. Burr <wesley.burr@gmail.com>
Nathaniel Graham and Mahmood Arai and Björn Hagströmer
Alex Dmitrienko, Eric Nantz, and Gautier Paux, with
contributions by Thomas Brechenmacher
Edoardo Gaude, Francesca Chignola, Dimitrios Spiliotopoulos,
Silvia Mari, Andrea Spitaleri and Michela Ghitti
Jose Gama [aut, cre, trl],
Paul Centore [aut, cph]
Ryan T. Moore <rtm@american.edu> and Andrew Reeves <reeves@wustl.edu>
Stefano Cacciatore, Edoardo Saccenti, Mario Piccioli
Knut M. Wittkowski <kmw@rockefeller.edu> and Tingting Song
<ttsong@gmail.com>
MuToss Coding Team (Berlin 2010), Gilles Blanchard, Thorsten Dickhaus,
Niklas Hack, Frank Konietschke, Kornelius Rohmeyer,
Jonathan Rosenblatt, Marsel Scheer, Wiebke Werft
Yi Wang, Ulrike Naumann, Stephen Wright and David Warton
Paulo Cesar Ossani <ossanipc@hotmail.com>
Marcelo Angelo Cirillo <macufla@dex.ufla.br>
Andrew T. Karl (Adsurgo LLC), Jennifer Broatch (Arizona State University)
Julien Clavel, with contributions from Aaron King, and Emmanuel Paradis
Selcuk Korkmaz [aut, cre], Dincer Goksuluk [aut], Gokmen Zararsiz [aut]
Matteo Fasiolo, using the C++ parallel RNG of Thijs van den Berg and Ziggurat algorithm of Jens Maurer and Steven Watanabe (boost)
Kevin Gross, with help from Douglas Bates
Peter Filzmoser <P.Filzmoser@tuwien.ac.at> and
Moritz Gschwandtner <e0125439@student.tuwien.ac.at>
Jean-Eudes Dazard [aut, cre], Hua Xu [ctb], Alberto Santana [ctb]
Alan Genz [aut],
Frank Bretz [aut],
Tetsuhisa Miwa [aut],
Xuefei Mi [aut],
Friedrich Leisch [ctb],
Fabian Scheipl [ctb],
Bjoern Bornkamp [ctb],
Martin Maechler [ctb],
Torsten Hothorn [aut, cre]
Ioannis Tsamardinos, Vincenzo Lagani, Giorgos Borboudakis, Giorgos Athineou
Deepika Kulshreshtha, Rupanjali Chaudhuri, S. Ramachandran
Stephane Mangenat (for 'libnabo'), Gregory Jefferis
Alencar Xavier, William Muir, Katy Rainey, Tiago Pimenta, Qishan Wang, Shizhong Xu.
Winston Chang, Daniel Adler, Hadley Wickham, Gregory R. Warnes,
R Core Team
Anton Gagin, Katharine Mullen, Igor Levin
Malika Charrad and Nadia Ghazzali and Veronique Boiteau and Azam Niknafs
Cole Beck [aut, cre], Bo Lu [aut], Robert Greevy [aut]
Yanming Di <diy@stat.oregonstate.edu>, Daniel W Schafer
<schafer@stat.oregonstate.edu>, with contributions from Jason S Cumbie
<cumbiej@onid.orst.edu> and Jeff H Chang <changj@cgrb.oregonstate.edu>.
Youyi Fong <yfong@fhcrc.org>, Krisztian Sebestyen <ksebestyen@gmail.com>, Xuesong Yu <xyu@scharp.org>
Chayan Acharya [aut, cre],
Andrew C. Hooker [aut],
Siv Jonsson [aut],
Mats O. Karlsson [aut]
David Bronaugh <bronaugh@uvic.ca> for the Pacific Climate Impacts
Consortium (PCIC)
Siomara Cristina Broch, Daniel Furtado Ferreira
Daniel Furtado Ferreira, Izabela Regina Cardoso de Oliveira and
Fernando Henrique Toledo
Patrick Breheny [aut,cre], Sangin Lee [ctb]
Antti Arppe [aut],
Peter Hendrix [aut],
Petar Milin [aut],
R. Harald Baayen [aut],
Cyrus Shaoul [aut, cre]
Skye Bender-deMoll [cre, aut],
Martina Morris [ctb]
Holger Hoefling, Ryan Tibshirani, Robert Tibshirani
Annegret Grimm, Bernd Gruber & Klaus Henle
Sebastien Bihorel, Michael Baudin (author of the original
module)
Simon J. Goring [aut, cre], Gavin L. Simpson [aut], Jeremiah P. Marsicek [ctb],
Karthik Ram [aut], Luke Sosalla [ctb]
Mike Nowak <michael.nowak@gmail.com>, Solomon Messing
<solomon.messing@gmail.com>, Sean J Westwood
<seanjw@stanford.edu>, and Dan McFarland
<dmcfarla@stanford.edu>
Shannon M. Bell <bell.shannonm@gmail.com>, Lyle D. Burgoon
<burgoon.lyle@gmail.com>
Mike Nowak <michael.nowak@gmail.com>, Sean J Westwood
<seanjw@stanford.edu>, Solomon Messing
<solomon.messing@gmail.com>, and Dan McFarland
<dmcfarla@stanford.edu>
Karline Soetaert <karline.soetaert@nioz.nl>,
Julius Kipyegon Kones <jkones@uonbi.ac.ke>,
Dick van Oevelen <dick.vanoevelen@nioz.nl>
Gerta Rücker [aut],
Guido Schwarzer [aut, cre],
Ulrike Krahn [aut],
Jochem König [aut]
Michele Filosi [aut, cre], Roberto Visintainer [aut], Samantha Riccadonna [aut], Giuseppe Jurman [ctb], Cesare Furlanello [ctb]
Carter T. Butts [aut, cre],
David Hunter [ctb],
Mark Handcock [ctb],
Skye Bender-deMoll [ctb],
Jeffrey Horner [ctb]
Christopher Gandrud [aut, cre],
J.J. Allaire [aut],
Kent Russel [aut],
B.W. Lewis [ctb],
Kevin Kuo [ctb],
Charles Sese [ctb],
Peter Ellis [ctb]
Carter T. Butts [aut],
Ayn Leslie-Cook [aut],
Pavel N. Krivitsky [aut],
Skye Bender-deMoll [aut, cre],
Zack Almquist [ctb],
David R. Hunter [ctb],
Li Wang [ctb],
Kirk Li [ctb],
Steven M. Goodreau [ctb],
Jeffrey Horner [ctb],
Martina Morris [ctb]
Ryan Admiraal <R.Admiraal@murdoch.edu.au> and Mark S. Handcock
<handcock@ucla.edu>
Alexander W Blocker, Paul Koullick, Edoardo Airoldi
Stefan Fritsch, Frauke Guenther <guenther@bips.uni-bremen.de>,
following earlier work by Marc Suling
Marijke Welvaert with contributions from Joke Durnez, Beatrijs
Moerkerke, Yves Rosseel and Geert Verdoolaege
Gilles Raiche (Universite du Quebec a Montreal) and David Magis (Universite de Liege)
Junheng Ma, Jiayang Sun, and Guo-Qiang Zhang
Drew Schmidt [aut, cre], Christian Heckendorf [aut]
John Hughes <hughesj@umn.edu> and Xiaohui Cui <cuixx132@umn.edu>
Martin Lysy [aut, cre],
Ashley D. Stasko [aut, ctb],
Heidi K. Swanson [aut, ctb]
original from National Institutes for Standards and Technology
(NIST) http://www.itl.nist.gov/div898/strd/nls/nls_main.shtml R
port by Douglas Bates <bates@stat.wisc.edu>
José Pinheiro [aut] (S version),
Douglas Bates [aut] (up to 2007),
Saikat DebRoy [ctb] (up to 2002),
Deepayan Sarkar [ctb] (up to 2005),
EISPACK authors [ctb] (src/rs.f),
R-core [aut, cre]
Andrzej Galecki <agalecki@umich.edu>, Tomasz Burzykowski
<tomasz.burzykowski@uhasselt.be>
Jelmer Ypma <uctpjyy@ucl.ac.uk>, with contributions by
Hans W. Borchers <hwborchers@googlemail.com> and
Dirk Eddelbuettel <edd@debian.org>
S original by Alessandra R. Brazzale <alessandra.brazzale@unipd.it>
and Ruggero Bellio <ruggero.bellio@uniud.it>.  R port by Alessandra R.
Brazzale <alessandra.brazzale@unipd.it>, following earlier work by
Douglas Bates.
Zheng Sengui,Lu Xufen,Hou Qiongchen,Zheng Jianhui
Nora Umbach [aut, cre],
Katharina Naumann [aut],
David Hoppe [aut],
Holger Brandt [aut],
Augustin Kelava [ctb],
Bernhard Schmitz [ctb]
Florent Baty <florent.baty@gmail.com> and Marie-Laure
Delignette-Muller <marielaure.delignettemuller@vetagro-sup.fr>
Aldo Garay <amedina@ime.usp.br>, Marcos Prates
<marcosop@est.ufmg.br> and Victor Lachos
<hlachos@ime.unicamp.br>
Florent Baty <florent.baty@gmail.com> and Marie-Laure
Delignette-Muller <marielaure.delignettemuller@vetagro-sup.fr>,
with contributions from Sandrine Charles, Jean-Pierre Flandrois,
and Christian Ritz
Will Beasley, Joe Rodgers, David Bard, Michael Hunter, and Kelly
Meredith
Katharine M. Mullen and Ivo H. M. van Stokkum
Arnaud Le Rouzic (2007-2014),  Arne B. Gjuvsland (2010), Olivier Ariste (2010)
Sulc Zdenek <zdenek.sulc@vse.cz>, Rezankova Hana <hana.rezankova@vse.cz>
Julio Cesar Hernandez Sanchez, Jose Luis Vicente-Villardon
Constantino A. Garcia [aut, cre],
Gunther Sawitzki [ctb]
Dong-hyun Oh <oh.donghyun77@gmail.com>, with Dukrok Suh
Heikki Tuomenvirta [aut],
Achim Drebs [aut],
Eirik Førland [aut],
Ole Einar Tveito [aut],
Hans Alexandersson [aut],
Ellen Vaarby Laursen [aut],
Trausti Jónsson [aut],
Jose Gama [cre]
Ported to R by Alvaro A. Novo <alvaro@novo-online.net>.
Original by Joseph L. Schafer <jls@stat.psu.edu>.
David Scott <d.scott@auckland.ac.nz>, Jason Shicong Fu and
Simon Potter
Juergen Gross [aut],
Uwe Ligges [aut, cre]
originally written by Subbiah M <sisufive@gmail.com> packaged
by Sumathi R with considerable contributions by Srinivasan M R
Jeffrey S. Racine [aut, cre],
Tristen Hayfield [aut]
Kimihiro Noguchi <kinoguchi@ucdavis.edu>, Mahbub Latif
<mlatif@gwdg.de>, Karthinathan Thangavelu <kthanga@gwdg.de>,
Frank Konietschke <fkoniet@gwdg.de>, Yulia R. Gel
<ygl@math.uwaterloo.ca>, Edgar Brunner
<brunner@ams.med.uni-goettingen.de>
Quanli Wang, Daniel Manrique-Vallier, Jerome P. Reiter and Jingchen Hu
Abdelaati Daouia <Abdelaati.Daouia@tse-fr.eu>, Thibault Laurent <thibault.laurent@univ-tlse1.fr>, Hohsuk Noh <word5810@gmail.com>
Yi Zheng [aut, cre],
Chia-Yi Chiu [aut],
Jeffrey A. Douglas [ctb]
María Oliveira, Rosa M. Crujeiras and Alberto Rodríguez-Casal
Emmanuelle Comets, Karl Brendel, Thi Huyen Tram Nguyen, France
Mentre.
Chao Cai, Songfeng Wang, Wenbin Lu, Jiajia Zhang
Robert V Baron <rvb5@pitt.edu>, Nandita Mukhopadhyay,
Xinyu Tang, Daniel E. Weeks <weeks@pitt.edu>
Frederic Commo [aut, cre],
Brian M. Bot [aut]
Chung-Hsing Chen, I-Shou Chang and Chao A. Hsiung
Jochen Einbeck, Ross Darnell and John Hinde
Maria Ortiz-Estevez <mortizest@gmail.com>, Ander Aranburu
<aaranburu@ceit.es>, Angel Rubio <arubio@ceit.es>
Christian Sigg [aut, cre],
R Core team [aut]
The Institute of Statistical Mathematics, based on the program by Ushio Tanaka
Grant Schneider, Eric Chicken, Rachel Becvarik
Alberto Viglione [aut, cre],
Jonathan R. M. Hosking [ctb],
Francesco Laio [ctb],
Alan Miller [ctb],
Eric Gaume [ctb],
Olivier Payrastre [ctb],
Jose Luis Salinas [ctb],
Chi Cong N'guyen [ctb],
Karine Halbert [ctb]
Hadley Wickham <h.wickham@gmail.com>, Niladri Roy Chowdhury
<niladri.ia@gmail.com>, Di Cook <dicook@iastate.edu>
REvolution Computing <packages@revolution-computing.com> with
support and contributions from Pfizer, Inc.
Teresa Henriques, Luis Antunes and Cristina Costa-Santos
Keith Poole <ktpoole@uga.edu>, Jeffrey Lewis
<jblewis@ucla.edu>, James Lo <jameslo@princeton.edu> and Royce
Carroll <rcarroll@rice.edu>
Dan Kelley [aut, cre],
Clark Richards [aut],
Chantelle Layton [ctb, cph] (curl() coauthor),
Gerald Evenden [ctb, cph] (PROJ.4 author),
Frank Warmerdam [ctb, cph] (PROJ.4 author),
Howard Butler [ctb, cph] (PROJ.4 author),
Brent Fraser [ctb, cph] (PROJ.4 contributor),
Chris Stuber [ctb, cph] (PROJ.4 contributor),
Craig Bruce [ctb, cph] (PROJ.4 contributor),
Victor Osipkov [ctb, cph] (PROJ.4 contributor),
Andrea Antonello [ctb, cph] (PROJ.4 contributor),
Charles Karney [ctb, cph] (PROJ.4 contributor),
Karsten Engsager [ctb, cph] (PROJ.4 contributor),
Knud Poder [ctb, cph] (PROJ.4 contributor),
Robert Gentleman [ctb, cph] (author of approx() code, used in
binmapAdp()),
Ross Ihaka [ctb, cph] (author of approx() code, used in binmapAdp())
Max Kuhn. Contributions from Steve Weston, Nathan Coulter, Patrick Lenon, Zekai Otles and the R Core Team
Daniel Fischer, Jyrki Möttönen, Klaus Nordhausen, Daniel Vogel
Brady Allred, Torre Hovick, Samuel Fuhlendorf
Rory Michelland <rory.michelland@gmail.com>,Laurent Cauquil
<laurent.cauquil@toulouse.inra.fr>
Phil Chalmers [cre, aut],
Carrie Smith [ctb],
Matthew Sigal [ctb]
Hae Kyung Im, Heather E. Wheeler, Keston Aquino Michaels, Vassily
Trubetskoy
Anja von Heydebreck <anja.von.heydebreck@merck.de>,
contributions from Christiane Heiss <christiane.heiss@web.de>
Gabriel Margarido [aut], Marcelo Mollinari [aut, cre], Karl
Broman [ctb], Augusto Garcia [ctb]
David Degras [aut, cre], Herve Cardot [ctb]
Teemu Rintala, Einari Happonen, Jouni Tuomisto
Petr Simecek <simecek@gmail.com>,
Juergen Pilz <juergen.pilz@uni-klu.ac.at>,
Mingui Wang <mail.mwang@gmail.com>,
Albrecht Gebhardt <albrecht.gebhardt@uni-klu.ac.at>.
David Carslaw [aut, cre],
Karl Ropkins [aut]
David M Diez, Christopher D Barr, and Mine Cetinkaya-Rundel
Steven M. Boker [aut],
Michael C. Neale [aut],
Hermine H. Maes [aut],
Michael J. Wilde [ctb],
Michael Spiegel [aut],
Timothy R. Brick [aut],
Ryne Estabrook [aut],
Timothy C. Bates [aut],
Paras Mehta [ctb],
Timo von Oertzen [ctb],
Ross J. Gore [aut],
Michael D. Hunter [aut],
Daniel C. Hackett [ctb],
Julian Karch [ctb],
Andreas M. Brandmaier [ctb],
Joshua N. Pritikin [aut, cre],
Mahsa Zahery [aut],
Robert M. Kirkpatrick [aut],
Yang Wang [ctb],
Charles Driver [ctb]
Kurt Hornik [aut, cre],
The Apache Software Foundation [ctb, cph] (Apache OpenNLP Java
libraries),
JWNL development team [ctb, cph] (JWNL Java WordNet Library)
Ian Fellows, using the JMapViewer library by Jan Peter Stotz
Alexander Walker [aut, cre],
Luca Braglia [ctb]
Michael Sekula <michael.sekula@louisville.edu>,
Somnath Datta <somnath.datta@louisville.edu>,
and Susmita Datta <susmita.datta@louisville.edu>
James Wason [aut, cre],
John Burkardt [ctb]
Monica Lopez-Raton, Maria Xose Rodriguez-Alvarez
John C Nash [aut, cre], Ravi Varadhan [aut], Gabor Grothendieck [ctb]
Bo Huang <bo.huang@pfizer.com> and Neal Thomas
<neal.thomas@pfizer.com>
Ben B. Hansen <ben.hansen@umich.edu>, Mark Fredrickson
<mark.m.fredrickson@gmail.com>, Josh Buckner, Josh Errickson, and Peter
Solenberger, with embedded Fortran code due to Dimitri P. Bertsekas
<dimitrib@mit.edu> and Paul Tseng
Trevor L Davis. Some documentation and examples ported from Allen Day's
getopt package. Some documentation from the optparse Python module by the
Python Software Foundation. Contributions from Steve Lianoglou, Jim
Nikelski, Kirill Müller, and Peter Humburg.
Adetayo Kasim, Martin Otava, Tobias Verbeke
Stefano Spada, Matteo Quartagno, Marco Tamburini
Jens J. Rogmann, University of Hamburg, Department of
Psychology, Germany
Jerome Friedman, Xiaotong Suo and Robert Tibshirani
Rune Haubo Bojesen Christensen [aut, cre]
Maurizio Manuguerra [aut, cre],
Gillian Heller [aut]
Kellie J. Archer, Jiayi Hou, Qing Zhou, Kyle Ferber, John G. Layne, Amanda Gentry
Fadoua Balabdaoui, Kaspar Rufibach, Filippo Santambrogio
Jon Clayden, based on Onigmo by K. Kosako and K. Takata
Nathan G. Dodder, with code contributions from Katharine M. Mullen.
Tianqing Liu, Nan Lin, Ningzhong Shi and Baoxue Zhang
Fernando Fernandez-Palacin <fernando.fernandez@uca.es> and Manuel
Munoz-Marquez <manuel.munoz@uca.es>
Fernando Fernandez-Palacin <fernando.fernandez@uca.es> and
Manuel Munoz-Marquez <manuel.munoz@uca.es>
Eun-Kyung Lee, Sung Gon Yi, Yoojin Jung, Junghyun Namkung,
Taesung Park
Brandon Whitcher [aut, cre],
Volker Schmid [aut],
Andrew Thornton [aut],
Karsten Tabelow [ctb],
Jon Clayden [ctb],
John Muschelli [ctb]
Sebastien Haneuse, Takumi Saegusa, Nilanjan Chaterjee, Norman Breslow, Elizabeth Smoot
Thomas Schlesinger and Manuel J. A. Eugster
Zardad Khan, Asma Gul, Aris Perperoglou, Osama Mahmoud, Werner Adler, Miftahuddin and Berthold Lausen
Aaron A. King <kingaa@umich.edu> and Marguerite A. Butler <mbutler@hawaii.edu>
Thibaut Jombart <t.jombart@imperial.ac.uk>, Anne Cori, Joel Hellewell
The Hackout team (In alphabetic order: David Aanensen, Marc Baguelin, Paul Birrell, Simon Cauchemez, Anton Camacho, Caroline Colijn, Anne Cori, Xavier Didelot, Ken Eames, Christophe Fraser, Simon Frost, Niel Hens, Joseph Hugues, Thibaut Jombart, Lulla Opatowski, Oliver Ratmann, Samuel Soubeyrand, Marc Suchard, Jacco Wallinga, Rolf Ypma)
Soo-Heang Eo [aut, cre],
Huixia Judy Wang [ctb],
Lan Wang [ctb],
HyungJun Cho [aut]
Soo-Heang Eo [aut, cre],
HyungJun Cho [aut]
Michel Prombo <michel.prombo@statec.etat.lu> or <michel.prombo@gmail.com>
Bill Venables [aut] (S original),
Kurt Hornik [aut, cre] (R port)
A.J. Perez-Luque; R. Moreno; R. Perez-Perez and F.J. Bonet
Luis Meira-Machado and Javier Roca-Pardinas <roca@uvigo.es>
Michael Bedward [aut, cre],
David Eppstein [aut] (Original author of Python code for graph-based
circle packing ported to C++ for this package)
Radhakrishnan Nagarajan <rnagarajan@uky.edu> and Marco Scutari <marco.scutari@gmail.com>
Kevin Ushey, Jonathan McPherson, Joe Cheng, JJ Allaire
Tyler Rinker [aut, cre, ctb], Dason Kurkiewicz [aut, ctb]
Juan Antonio Balbuena <ja.balbuena@uv.es>, Timothee Poisot
<tim@poisotlab.io>, Matthew Hutchinson <matthewhutchinson15@gmail.com>,
Fernando Cagua <fernando@cagua.co>
Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
Junwei Han,Yanjun Xu,Haixiu Yang,Chunquan Li and Xia Li
Cornelia Froemke, Ludwig Hothorn and Michael Schneider
Frank Schaarschmidt [aut, cre], Daniel Gerhard [aut]
Sara Varela [aut, cre],
Javier González Hernández [aut],
Luciano Fabris Sgarbi [aut]
Alexander Correa-Metrio, Dunia H. Urrego, Kenneth R. Cabrera,
Mark B. Bush
T. Hastie, R. Tibshirani, Balasubramanian Narasimhan, Gil Chu
Gergely Daróczi <daroczig@rapporter.net>, Roman Tsegelskyi
<roman.tsegelskyi@gmail.com>
Matthias Bannert [aut, cre], Gabriel Bucur [aut]
Benjamin Hofner, with contributions by many others (see inst/CONTRIBUTIONS)
Bernd Bischl <bernd_bischl@gmx.net>, Michel Lang
<michellang@gmail.com>
Bernd Bischl [aut, cre],
Michel Lang [aut],
Jakob Bossek [aut],
Daniel Horn [aut]
Pengsheng Ji, Hussein Abdel-Haleem, H. Roger Boerma and Zenglu Li
Antonio Jose Saez-Castillo [aut, cre],
Faustino Prieto [aut],
Jose Maria Sarabia [aut]
Federico Rotolo <federico.rotolo@gustaveroussy.fr>
and Marco Munda <marco.munda@uclarlenda.com>
Gabriele Sales <gabriele.sales@unipd.it>, Chiara Romualdi
<chiara.romualdi@unipd.it>
Alberto Arcagni [aut, cre], Marco Fattore [ctb]
Annette Molinaro <annette.molinaro@ucsf.edu>,
Adam Olshen <olshena@biostat.ucsf.edu>,
Karen Lostritto <karen.lostritto@yale.edu>,
Gregory Ryslik <gregory.ryslik@yale.edu>,
Steve Weston <stephen.weston@yale.com>
Norm Matloff <normmatloff@gmail.com> [aut],
Alex Rumbaugh <aprumbaugh@ucdavis.edu> [ctb]
Torsten Hothorn [aut, cre],
Kurt Hornik [aut],
Carolin Strobl [aut],
Achim Zeileis [aut]
Torsten Hothorn [aut, cre],
Achim Zeileis [aut]
Zhiqiu Hu; Shizhong Xu; Zhiquan Wang; Rongcai Yang
Romain Fenouil, Nicolas Descostes, Lionel Spinelli, Jean-Christophe Andrau
Philippe Grosjean [aut, cre],
Frederic Ibanez [aut],
Michele Etienne [ctb]
Klaas Hartmann, Gavin Thomas, Arne Mooers, Jeffrey Joy, Walter Jetz
Jan Gleixner [aut],
Daniel Hicks [ctb],
Emmanuel Charpentier [aut, cre]
Gaston Sanchez [aut, cre],
Tomas Aluja [aut, ths]
Richard Cotton [aut, cre], Janko Thyson [ctb]
Tarmo K. Remmel, (Marie-Josee Fortin, Ferenc Csillag, Sandor Kabos)
Rafael Maia [aut, cre],
Chad Eliason [aut],
Pierre-Paul Bitton [aut]
Thomas Hoffmann <tjhoffm@gmail.com>, with contributions from
Christoph Lange <clange@hsph.harvard.edu>
Van Trung Pham and Gildas Mazo, with contributions from R Core team, Nash, Zhu, Byrd, Lu-Chen and Nocedal
Drew Schmidt [aut, cre],
Wei-Chen Chen [aut],
George Ostrouchov [aut],
Pragneshkumar Patel [aut]
Drew Schmidt [aut, cre],
Wei-Chen Chen [aut],
George Ostrouchov [aut],
Pragneshkumar Patel [aut],
R Core team [ctb] (some wrappers taken from the base and stats
packages)
Wei-Chen Chen [aut, cre],
George Ostrouchov [aut],
Drew Schmidt [aut],
Pragneshkumar Patel [aut],
Hao Yu [aut],
Christian Heckendorf [ctb] (FreeBSD),
Brian Ripley [ctb] (Windows HPC Pack 2012),
R Core team [ctb] (some functions are modified from the base packages)
Pragneshkumar Patel [aut, cre],
George Ostrouchov [aut],
Wei-Chen Chen [aut],
Drew Schmidt [aut],
David Pierce [aut]
Wei-Chen Chen [aut, cre],
Drew Schmidt [aut],
Gaurav Sehrawat [aut],
Pragneshkumar Patel [aut],
George Ostrouchov [aut]
Wei-Chen Chen [aut, cre],
Drew Schmidt [aut],
George Ostrouchov [aut],
Pragneshkumar Patel [aut],
Brian Ripley [ctb] (Solaris & Mac)
Fortran code by Alan Genz.  R code by Brenton Kenkel,
based on Adelchi Azzalini's 'mnormt' package.
Ulrich Halekoh <uhalekoh@health.sdu.dk> Søren Højsgaard <sorenh@math.aau.dk>
Jon T. Schnute <schnutej-dfo@shaw.ca>,
Rowan Haigh <rowan.haigh@dfo-mpo.gc.ca>,
Alex Couture-Beil <alex@mofo.ca>
Alex Couture-Beil <alex@mofo.ca>,
Jon T. Schnute <schnutej-dfo@shaw.ca>,
Rowan Haigh <rowan.haigh@dfo-mpo.gc.ca>,
Nicholas Boers <boersn@macewan.ca>,
Simon N. Wood, Ben J. Cairns
Jon T. Schnute [aut], Nicholas Boers [aut], Rowan Haigh [aut, cre],
Alex Couture-Beil [ctb], Denis Chabot [ctb], Chris Grandin [ctb],
Angus Johnson [ctb], Paul Wessel [ctb], Franklin Antonio [ctb],
Nicholas J. Lewin-Koh [ctb], Roger Bivand [ctb]
Jon T. Schnute <schnutej-dfo@shaw.ca>,
Alex Couture-Beil <alex@mofo.ca>,
Rowan Haigh <rowan.haigh@dfo-mpo.gc.ca>,
A.R. (Rob) Kronlund <allen.kronlund@dfo-mpo.gc.ca>, and
Nicholas Boers <boersn@macewan.ca>
Sapan Jot <sapan.madaan@gmail.com> and Paul Brooks
<jpbrooks@vcu.edu>
Markus Kalisch [aut, cre], Alain Hauser [aut], Martin Maechler [aut],
Diego Colombo [ctb], Doris Entner [ctb], Patrik Hoyer [ctb],
Antti Hyttinen [ctb], Jonas Peters [ctb]
Marie Chavent and Vanessa Kuentz and Amaury Labenne and Benoit Liquet and Jerome Saracco.
Peter Filzmoser, Heinrich Fritz, Klaudius Kalcher
Bin Yao <yaob@email.sc.edu> and Lianming Wang <wangl@stat.sc.edu>
David Bronaugh <bronaugh@uvic.ca> for the Pacific Climate
Impacts Consortium (PCIC); portions based on code written by
the R-Core team and Ulrich Drepper.
Marlies Vervloet [aut, cre],
Henk Kiers [aut],
Eva Ceulemans [ctb]
Delia Bailey <delia.bailey@gmail.com> and Jonathan N. Katz
<jkatz@caltech.edu>
Adelchi Azzalini, Giovanna Menardi for the current version;
Adelchi Azzalini, Giovanna Menardi and Tiziana Rosolin up to version 0.1-13.
A. I. McLeod <aim@uwo.ca> and Mehmet Balcilar
<mehmet@mbalcilar.net>.
Meiling Liu, Sungho Won and Weicheng Zhu
Alessandro Samuel-Rosa [aut, cre],
Lúcia Anjos [ths],
Gustavo Vasques [ths],
Gerard Heuvelink [ths],
Tony Olsen [ctb],
Tom Kincaid [ctb],
Juan Carlos Ruiz Cuetos [ctb],
Maria Eugenia Polo Garcia [ctb],
Pablo Garcia Rodriguez [ctb],
Joshua French [ctb],
Ken Kleinman [ctb],
Dick Brus [ctb],
Frank Harrell Jr [ctb]
Emmanuel Paradis [aut, cre, cph],
Thibaut Jombart [aut, cph],
Klaus Schliep [aut, cph],
Alastair Potts [aut, cph],
David Winter [aut, cph]
Lin Chen <lchen@health.bsd.uchicago.edu> and Pei Wang <pwang@fhcrc.org>
Jelle Goeman, Rosa Meijer, Nimisha Chaturvedi
Natalia Becker, Wiebke Werft, Axel Benner
L. Waldron, M. Pintilie, M.-S. Tsao, F. A. Shepherd, C. Huttenhower*, I. Jurisica* (*equal contribution)
Heike Hofmann [aut],
Eric Hare [aut, cre],
GGobi Foundation [aut]
Daniel Osorio, Paola Rondon-Villarreal and Rodrigo Torres.
Anna Dudek, Harry Hurd and Wioletta Wojtowicz
Giorgio Valentini, Matteo Re -- Universita' degli Studi di Milano
Brian G. Peterson [cre, aut, cph],
Peter Carl [aut, cph],
Kris Boudt [ctb, cph],
Ross Bennett [ctb],
Joshua Ulrich [ctb],
Eric Zivot [ctb],
Matthieu Lestel [ctb],
Kyle Balkissoon [ctb],
Diethelm Wuertz [ctb]
Marie-Pierre Sylvestre, Thad Edens, Todd MacKenzie, Michal
Abrahamowicz
Ivo D. Shterev, Sin-Ho Jung, Stephen L. George and Kouros Owzar
Gavin L. Simpson [aut, cph, cre],
R Core Team [cph],
Douglas M. Bates [ctb],
Jari Oksanen [ctb]
Sadegh Rasoulinejad (R package and database version of the
dictionary) Manouchehr Aryanpour (for the original dictionary)
Kenneth B. Hoehn [aut, cre],
Glen A. Sargeant [ctb]
Joern Schulz <jschulz78@web.de> Peter Toft <pto@imm.dtu.dk>
Jesper James Jensen <jjj@oedan.dk> Peter Philipsen
<pap@imm.dtu.dk>
William D. Pearse, Marc W. Cadotte, Jeannine Cavender-Bares,
Anthony R. Ives, Caroline Tucker, Steve C. Walker, Matthew R. Helmus
Shaojie Chen; Lei Huang; Huitong Qiu; Ani Eloyan; Brian Caffo; Ciprian Crainiceanu
Xianyun Mao <xianyunmao@gmail.com> and Timothy Ryan
<tmr21@psu.edu>
Mohamed LAIB, Abla BOUDRAA and Zoubida Gheribi-Aoulmi
Paul D. McNicholas [aut, cre], Aisha ElSherbiny [aut], K. Raju Jampani [ctb], Aaron F. McDaid [aut], T. Brendan Murphy [aut], Larry Banks [ctb]
J. Aravind [aut, cre],
J. Radhamani [aut],
Kalyani Srinivasan [aut],
B. Ananda Subhash [aut],
R. K. Tyagi [aut]
Kien Kieu <Kien.Kieu@jouy.inra.fr>, Marianne Mora <Marianne.Mora@u-paris10.fr>
Petr Smirnov, Zhaleh Safikhani, Benjamin Haibe-Kains
Konrad Zych <k.zych@rug.nl> and Danny Arends <danny.arends@gmail.com>
Helios De Rosario-Martinez [aut, cre],
John Fox [ctb],
R Core Team [ctb]
S.R. Charlton, D.L. Parkhurst, and C.A.J. Appelo, with contributions
from D. Gillespie for Chipmunk BASIC and S.D. Cohen, A.C. Hindmarsh,
R. Serban, D. Shumaker, and A.G. Taylor for CVODE/SUNDIALS
J. Dustin Tracy, Zhiyi Xu, Leena Choi, Sari Acra, Kong Y. Chen, Maciej S. Buchowski
Wei-Chen Chen [aut, cre],
Karin Dorman [aut]
Pedro Tarroso, Guillermo Velo-Anton, Silvia Carvalho
R Hackathon et al. (alphabetically: Ben Bolker, Marguerite Butler,
Peter Cowan, Damien de Vienne, Dirk Eddelbuettel, Mark Holder, Thibaut
Jombart, Steve Kembel, Francois Michonneau, David Orme, Brian O'Meara,
Emmanuel Paradis, Jim Regetz, Derrick Zwickl)
Christoph Heibl, Clement Calenge (\code{import.ascii})
Ramon Diaz-Uriarte <rdiaz@cnio.es> and Theodore Garland, Jr
<theodore.garland@ucr.edu>
Lam Si Tung Ho [aut, cre],
Cecile Ane [aut],
Robert Lachlan [ctb],
Kelsey Tarpinian [ctb]
Constantinos Tsirogiannis [aut, cre], Brody Sandel [aut]
Jinlong Zhang, Nancai Pei, Xiangcheng Mi
Leena Choi, Zhouwen Liu, Charles E. Matthews, and Maciej S. Buchowski
Long Qu [aut, cre, ctb],
Kun Liang [ctb],
Yudi Pawitan [aut] (The author(s) of OCplus::tMixture, which was
modified slightly leading to discTMix in this package.),
Alexander Ploner [aut] (The author(s) of OCplus::tMixture, which was
modified slightly leading to discTMix in this package.),
Egil Ferkingstad [aut] (The author(s) of limma::convest, which was
modified slightly leading to convest in this package.),
Mette Langaas [aut] (The author(s) of limma::convest, which was
modified slightly leading to convest in this package.),
Marcus Davy [aut] (The author(s) of limma::convest, which was modified
slightly leading to convest in this package.)
Steven W. Kembel <steve.kembel@gmail.com>, David D. Ackerly <dackerly@berkeley.edu>, Simon P. Blomberg <s.blomberg1@uq.edu.au>, Will K. Cornwell <cornwell@zoology.ubc.ca>, Peter D. Cowan <pdc@berkeley.edu>, Matthew R. Helmus <mrhelmus@wisc.edu>, Helene Morlon <morlon.helene@gmail.com>, Campbell O. Webb <cwebb@oeb.harvard.edu>
Daniel G. Muenz, Ray Griner <rgriner@sdac.harvard.edu>, Huichao
Chen, Lijuan Deng, Sachiko Miyahara, and Scott R. Evans
<evans@sdac.harvard.edu>, with contributions from Lingling Li,
Hajime Uno, and Laura M. Smeaton.
Predictive Analytics Team at Pivotal Inc. <user@madlib.net>,
with contributions from Data Scientist Team at Pivotal Inc.
Roger Bivand, Friedrich Leisch and Martin Maechler
Thomas Jaki <jaki.thomas@gmail.com> and Martin J. Wolfsegger
<wolfseggerm@gmx.at>
Anne Dubois, Julie Bertand, France Mentre and Douglas Bates
Florian Wickelmaier [cre, aut], Juergen Heller [aut],
Pasquale Anselmi [ctb]
Baptiste Auguie [aut, cre] (Some functions ported from the original
Matlab SPLAC code by E.C. Le Ru and P. G. Etchegoin),
Steven Johnson [aut, cph] (C code for the cubature library)
Hervé Monod, Annie Bouvier, André Kobilinsky
Yves Croissant [aut, cre],
Giovanni Millo [aut],
Arne Henningsen [ctb],
Ott Toomet [ctb],
Christian Kleiber [ctb],
Achim Zeileis [ctb]
Euloge Clovis Kenne Pagui [aut,cre], Antonio Canale [aut], Alan Genz [ctb],  Adelchi Azzalini [ctb]
Tomislav Hengl [cre, aut],
Pierre Roudier [ctb],
Dylan Beaudette [ctb],
Edzer Pebesma [ctb],
Michael Blaschek [ctb]
Arni Magnusson [aut, cre], Ian Stewart [aut]
Jim Lemon, Ben Bolker, Sander Oom,
Eduardo Klein, Barry Rowlingson,
Hadley Wickham, Anupam Tyagi,
Olivier Eterradossi, Gabor Grothendieck,
Michael Toews, John Kane, Rolf Turner,
Carl Witthoft, Julian Stander, Thomas Petzoldt,
Remko Duursma, Elisa Biancotto, Ofir Levy,
Christophe Dutang, Peter Solymos, Robby Engelmann,
Michael Hecker, Felix Steinbeck, Hans Borchers,
Henrik Singmann, Ted Toal, Derek Ogle
Bethany Kok [ctb],
Jolynn Pek [ctb],
Sonya Sterba [ctb],
Dan Bauer [ctb],
Phil Chalmers [cre, ctb]
German Aneiros Perez and Ana Lopez Cheda
Bjørn-Helge Mevik, Ron Wehrens and Kristian Hovde Liland
Opeoluwa F. Oyedele [aut, cre],
Sugnet Gardner-Lubbe [aut]
Anne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>,
Ghislain Durif <ghislain.durif@univ-lyon1.fr>,
Sophie Lambert-Lacroix <Sophie.Lambert@imag.fr>, Julie Peyre
<Julie.Peyre@imag.fr>, and Korbinian Strimmer
<strimmer@uni-leipzig.de>.
Gaston Sanchez [aut, cre],
Laura Trinchera [aut],
Giorgio Russolillo [aut]
Frederic Bertrand <frederic.bertrand@math.unistra.fr>, Myriam Maumy-Bertrand <myriam.maumy-bertrand@math.unistra.fr>, Nicolas Meyer <Nicolas.Meyer@nmeyer@unistra.fr>.
Frederic Bertrand <frederic.bertrand@math.unistra.fr>, Nicolas Meyer <Nicolas.Meyer@nmeyer@unistra.fr>, Myriam Maumy-Bertrand <myriam.maumy-bertrand@math.unistra.fr>.
Eva Herrmann <eherrmann@mathematik.tu-darmstadt.de> (C original);
R interface etc by Martin Maechler
Cun-Hui Zhang and Ofer Melnik, with contributions from Yi Yu
and Stephanie Zhang
Daniela Witten and Rob Tibshirani and Sam Gross and
Balasubramanian Narasimhan
Wei-Chen Chen [aut, cre],
George Ostrouchov [aut]
John Verzani with contributions by Yvonnick Noel
Sarah Colby <colby@lunenfeld.ca>, Sophia Lee, Juan Pablo
Lewinger, Shelley Bull <bull@lunenfeld.ca>
Graham Williams, Tridivesh Jena, Wen Ching Lin, Michael Hahsler (arules),
Zementis Inc, Hemant Ishwaran, Udaya B. Kogalur, Rajarshi Guha
Tridivesh Jena, Wen Ching Lin (Zementis, Inc.)
Michaela Dvorzak [aut, cre], Helga Wagner [aut]
Paul Evangelista <paul.evangelista@usma.edu> and Dave Beskow
<david.beskow@usma.edu>
Marieke van der Maaten-Theunissen and Ernst van der Maaten
David Kahle [aut, cre],
Phil Young [aut],
Dean Young [aut]
Panagiotis Papastamoulis, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau
David Pechel Cactcha, Laure Pauline Fotso and Celestin C
Kokonendji
Drew Linzer <drew@votamatic.org>,
Jeffrey Lewis <jblewis@ucla.edu>.
Eunjeong Park [aut, cre],
Jong Hee Park [aut]
Jeffrey B. Arnold [aut, cre],
Thomas J. Leeper [aut]
Glen Meeden <glen@stat.umn.edu> and Radu Lazar
<lazar@stat.umn.edu> and Charles J. Geyer <charlie@stat.umn.edu>
Angus Johnson. Ported to R by Adrian Baddeley and Brian Ripley.
Sebastian Meyer [aut, cre, trl],
Leonhard Held [ths],
Michael Hoehle [ths]
Bill Venables [aut] (S original),
Kurt Hornik [aut, cre] (R port),
Martin Maechler [aut] (R port)
Fawn Hornsby, Ryan Nielson, and Trent McDonald
(www.west-inc.com)
Aaron A. King [aut, cre],
Edward L. Ionides [aut],
Carles Breto [aut],
Stephen P. Ellner [ctb],
Matthew J. Ferrari [ctb],
Bruce E. Kendall [ctb],
Michael Lavine [ctb],
Dao Nguyen [ctb],
Daniel C. Reuman [ctb],
Helen Wearing [ctb],
Simon N. Wood [ctb]
Chris Stubben, Brook Milligan, Patrick Nantel
Iain Stott <iainmstott@gmail.com>, Dave Hodgson <D.J.Hodgson@exeter.ac.uk>, Stuart Townley <S.B.Townley@exeter.ac.uk>
Andrew C. Hooker [aut, cre, trl, cph],
Sebastian Ueckert [aut] (MATLAB version),
Marco Foracchia [aut] (O-Matrix version),
Joakim Nyberg [aut] (MATLAB version),
Eric Stroemberg [ctb] (MATLAB version)
Bastian Pfeifer [aut, cre], Ulrich Wittelsbuerger [ctb], Heng Li [ctb], Bob Handsaker [ctb]
Bernd Gruber [aut, cre],
Aaron Adamack [aut]
Daniel Bottomly [cre, aut],
Shannon McWeeney [aut],
Beth Wilmot [aut]
Zhian N. Kamvar [cre, aut],
Javier F. Tabima [aut],
Jonah C. Brooks [aut],
Niklaus J. Grunwald [ths]
Lutz Hamel [aut, cre],
Benjamin Ott [aut],
Gregory Breard [aut]
Tyler Tiede [aut, cre],  Mohsen Mohammadi [ctb], Kevin P. Smith [ctb]
Esam Mahdi, Ken Jinkun Xiao and A. Ian McLeod
Jeff Enos <jeff@kanecap.com> and David Kane <dave@kanecap.com>,
with contributions from Daniel Gerlanc <daniel@gerlanc.com> and
Kyle Campbell <Kyle.W.Campbell@williams.edu>
Brian G. Peterson [cre, aut, cph],
Peter Carl [aut, cph],
Kris Boudt [ctb, cph],
Ross Bennett [ctb, cph],
Hezky Varon [ctb],
Guy Yollin [ctb],
R. Douglas Martin [ctb]
Jeff Enos <jeff@kanecap.com> and David Kane <dave@kanecap.com>,
with contributions from Kyle Campbell
<Kyle.W.Campbell@williams.edu>
Tamal Kanti Panja, Sourish Das, Rajeswaran Viswanathan.
Charles J. Geyer <charlie@stat.umn.edu> and Leif Johnson
<leif@stat.umn.edu>
Sundar Dorai-Raj <sdorairaj@gmail.com>, original Fortran from Mike Powell <mjdp@cam.ac.uk>
Pierre Lafaye de Micheaux <lafaye@dms.umontreal.ca>, Viet Anh Tran <vietanhtran184@yahoo.com>
Detlew Labes [aut, cre],
Helmut Schuetz [ctb]
Charles Kooperberg <clk@fredhutch.org> and Li Hsu <lih@fredhutch.org>
Weiliang Qiu <stwxq@channing.harvard.edu>, Jorge Chavarro <JCHAVARR@hsph.harvard.edu>, Ross Lazarus <ross.lazarus@channing.harvard.edu>, Bernard Rosner <stbar@channing.harvard.edu>, Jing Ma <jing.ma@channing.harvard.edu>.
Detlew Labes [aut, cre],
Helmut Schuetz [aut],
Benjamin Lang [ctb]
Yue Deng, Rongjie Shao, Gang Wang and Yuanjun Sun
Nicole Kraemer <kraemer_r_packages@yahoo.de> Anne-Laure Boulesteix
<boulesteix@ibe.med.uni-muenchen.de>
Christian Hennig <c.hennig@ucl.ac.uk>,
Bernhard Hausdorf <Hausdorf@zoologie.uni-hamburg.de>
Richard Valliant, Jill A. Dever, Frauke Kreuter
Suman Kundu, Yurii S. Aulchenko, A. Cecile J.W. Janssens
Vladimir Vovk <vovk@cs.rhul.ac.uk> and Ilia Nouretdinov
<ilia@cs.rhul.ac.uk>
Dongwen Luo, Siva Ganesh and John Koolaard
Reinhold Hatzinger [aut],
Marco Johannes Maier [cre]
David I. Hastie <david.hastie@rsimony.com>, Silvia Liverani <liveranis@gmail.com> and Sylvia Richardson <sylvia.richardson@mrc-bsu.cam.ac.uk> with contributions from Aurore J. Lavigne, Lucy Leigh, Lamiae Azizi
Chao Deng, Timothy Daley and Andrew D. Smith
Charles Dupont, Jeffrey Horner, Chun Li, Qi Liu, Bryan Shepherd
Jim Lemon <drjimlemon@gmail.com>,
Philippe Grosjean <phgrosjean@sciviews.org>
Brecht Devleesschauwer [aut, cre], Paul Torgerson [aut],
Johannes Charlier [aut], Bruno Levecke [aut], Nicolas Praet [aut],
Sophie Roelandt [aut], Suzanne Smit [aut], Pierre Dorny [aut],
Dirk Berkvens [aut], Niko Speybroeck [aut]
Jean-Eudes Dazard [aut, cre], Michael Choe [ctb], Michael LeBlanc [ctb], Alberto Santana [ctb]
S original by Trevor Hastie <trevor@research.att.com> R port by
Andreas Weingessel <Andreas.Weingessel@ci.tuwien.ac.at>
Davor Cubranic, Jonathan Zhang, Nancy Heckman, Travis Gaydos,
and J.S. Marron
Raydonal Ospina <raydonal@de.ufpe.br>  and Leila D. Amorim <leiladen@ufba.br>.
Veronica J. Berrocal <veroberrocal@gmail.com>, Yulia Gel,
Adrian E. Raftery, Tilmann Gneiting
Chong Zhang, Seung Jun Shin, Junhui Wang, Yichao Wu, Hao Helen
Zhang, and Yufeng Liu
Xavier Robin, Natacha Turck, Alexandre Hainard, Natalia Tiberti, Frédérique Lisacek, Jean-Charles Sanchez and Markus Müller.
Okan Bulut <okanbulut84@gmail.com>, Christopher David Desjardins
<cddesjardins@gmail.com>
Y. Foucher <Yohann.Foucher@univ-nantes.fr> and C. Combescure <Christophe.Combescure@hcuge.ch>
Aleksandar Blagotic [ctb],
Diego Valle-Jones [ctb],
Jeffrey Breen [ctb],
Joakim Lundborg [ctb],
John Myles White [aut, cph],
Josh Bode [ctb],
Kenton White [ctb],
Kirill Mueller [ctb, cre],
Matteo Redaelli [ctb],
Noah Lorang [ctb],
Patrick Schalk [ctb]
John Michael O Ranola, Kenneth Lange, Steve Horvath, Peter Langfelder
Osama Mahmoud, Andrew Harrison, Aris Perperoglou, Asma Gul, Zardad Khan, Berthold Lausen
Antoine Stevens and Leonardo Ramirez-Lopez
Nan Xiao <road2stat@gmail.com>, Qingsong Xu <dasongxu@gmail.com>,
Dongsheng Cao <oriental-cds@163.com>
Christian Panse <cp@fgcz.ethz.ch>, Jonas Grossmann <jg@fgcz.ethz.ch>,
Simon Barkow-Oesterreicher <sb@fgcz.ethz.ch>
David Meyer [aut, cre],
Christian Buchta [aut]
Hadley Wickham [aut, cre],
R Core team [ctb] (Some code extracted from base R)
James E. Helmreich <James.Helmreich@Marist.edu> and Robert M.
Pruzek <RMPruzek@yahoo.com>.  We are grateful to KuangNan Xiong
for significant work on the functions new to version 2.0:
cstrata.psa, cv.bal.psa, and cv.trans.psa.
Kyu Ha Lee, Sounak Chakraborty, (Tony) Jianguo Sun
Henrik Bengtsson [aut, cre, cph],
Pierre Neuvial [aut],
Venkatraman E. Seshan [aut],
Adam B. Olshen [aut],
Paul T. Spellman [aut],
Richard A. Olshen [aut]
Simon Jackman, with contributions from
Alex Tahk, Achim Zeileis, Christina Maimone and Jim Fearon
Andrew J. Barbour and Robert L. Parker, with contributions from David
Myer
Andre Chalom, Paulo Inacio Knegt Lopez de Prado
Maja Pohar Perme [aut], Mette Gerster [aut, cre]
Ben Ingram <bri@utalca.cl>, Remi Barillec <r.barillec@aston.ac.uk>
Xiaoxiao Xu, Alan B. Wells, David OBrien, Arye Nehorai, Joseph D. Dougherty
Stig Bousgaard Mortensen <stigbm@gmail.com> and Søren Klim
<soren@klimens.dk>
S original by Jim Ramsey <ramsay@psych.mcgill.ca>.
R port by  Brian Ripley <ripley@stats.ox.ac.uk>.
Hannah Frick [aut, cre],
Carolin Strobl [aut],
Friedrich Leisch [aut],
Achim Zeileis [aut]
Achim Zeileis [aut, cre],
Carolin Strobl [aut],
Florian Wickelmaier [aut],
Basil Abou El-Komboz [aut],
Julia Kopf [aut]
Jose M. Maisog, Yuan Wang, George Luta, Jianfei Liu
Jan Gerretzen <j.gerretzen@science.ru.nl>, Paul Eilers
<p.eilers@erasmusmc.nl>, Hans Wouters, Tom Bloemberg
<t.bloemberg@science.ru.nl>, Ron Wehrens <ron.wehrens@gmail.com>
Jyoti Rani, S.Ramachandran, Ab Rauf Shah
Niki Zumbrunnen <niki.zumbrunnen@gmail.com>,
Lutz Duembgen <lutz.duembgen@stat.unibe.ch>.
Ryota Suzuki <suzuki@ef-prime.com>, Hidetoshi Shimodaira
<shimo@sigmath.es.osaka-u.ac.jp>
Thiago Santos, Jose Alexandre Diniz-Filho, Thiago Rangel e Luis
Mauricio Bini
Amerise I. L. <ilaria.amerise@unical.it>, Marozzi M. <marco.marozzi@unical.it>, Tarsitano A. <agostino.tarsitano@unical.it>
Edgar Dobriban [aut, cre],
Kristen Fortney [aut]
Stephane Champely [aut],
Claus Ekstrom [ctb],
Peter Dalgaard [ctb],
Jeffrey Gill [ctb],
Helios De Rosario [cre]
Achim Zeileis [aut, cre],
Guan Yang [aut]
Francisco J. Viciana [aut],
Carlos J. Gil Bellosta [cre, aut],
Oscar Perpinan Lamigueiro [aut],
Emilio Torres Manzanera [ctb],
Vicente David Canto Casasola [ctb],
Jorge Ivan Velez [ctb]
Adrian Dusa [aut, cre],
Alrik Thiem [aut] ((up to version 1.1-3))
This package is 99% based on the Rcmdr package written by John
Fox <jfox@mcmaster.ca>.  Some additional menus were adapted for
the QCA package by Adrian Dusa <dusadrian@unibuc.ro>
Jirka Lewandowski <jirka.lewandowski@wzb.eu> [aut, cre]
Miguel Flores <mflores@outlook.com>,
Salvador Naya <salva@udc.es>, Ruben Fernandez <ruben.fcasal@udc.es>
Bryan Goodrich [ctb],
Dason Kurkiewicz [ctb],
Tyler Rinker [aut, cre]
Jason Gray [ctb],
Tyler Rinker [aut, cre]
Bryan Goodrich [ctb],
Dason Kurkiewicz [ctb],
Kirill Muller [ctb],
Tyler Rinker [aut, cre]
Nora Umbach [aut, cre],
Florian Wickelmaier [aut]
Oleg Melnikov [aut, cre],
Max Lee [ctb],
Robert Abramov [ctb],
Richard Huang [ctb],
Liu Tong [ctb],
Jake Kornblau [ctb],
Xinnan Lu [ctb],
Kiryl Novikau [ctb],
Tongyue Luo [ctb],
Le You [ctb],
Jin Chen [ctb],
Chengwei Ge [ctb],
Jiayao Huang [ctb],
Kim Raath [ctb]
Sacha Epskamp, Giulio Costantini, Angelique O. J. Cramer, Lourens J. Waldorp, Verena D. Schmittmann and Denny Borsboom
Jixiang Wu (South Dakota State University), Johnie N. Jenkins and Jack C. McCarty (USDA-ARS)
Jacob Anhoej [aut, cre],
Timo Roeder [ctb]
Jingyi Xin, Bibhas Chakraborty, and Eric B. Laber
Aiora Zabala [aut, cre] (Main author),
Maximilian Held [aut] (Author of additional data management functions)
Juan Gea Rosat, Ramon Martínez Coscollà .
"Shingo Yamamoto (gloops, Inc.)" [aut, cre],
RStudio, Inc. [cph],
Michael Bostock [ctb, cph] (D3.js library),
jQuery Foundation [cph] (jQuery library and jQuery UI library),
jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/htmlwidgets/lib/jquery/jquery-AUTHORS.txt),
jQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in inst/htmlwidgets/lib/jquery-ui/AUTHORS.txt)
Bernhard Pfaff [aut, cre],
Marius Hofert [ctb],
Alexander McNeil [aut] (S-Plus original (QRMlib)),
Scott Ulmann [trl] (First R port as package QRMlib)
Marius Hofert [aut, cre], Kurt Hornik [aut]
Marius Hofert [aut, cre], Christiane Lemieux [aut]
Karl W Broman <kbroman@biostat.wisc.edu> and Hao Wu, with
ideas from Gary Churchill and Saunak Sen and contributions from
Danny Arends, Robert Corty, Timothee Flutre, Ritsert Jansen, Pjotr
Prins, Lars Ronnegard, Rohan Shah, Laura Shannon, Quoc Tran, Aaron
Wolen, and Brian Yandell
Saunak Sen, Jaya Satagopan, Karl Broman, and Gary Churchill
Elias Chaibub Neto <echaibub@hotmail.com> and Brian S Yandell <byandell@wisc.edu>
Elias Chaibub Neto <echaibub@hotmail.com> and Brian S. yandell <byandell@wisc.edu>
Karl G. Kugler, Matthias Wieser,  Matthias Dehmer, Michael Schutte, Laurin A.J. Mueller
S original by Berwin A. Turlach <Berwin.Turlach@gmail.com> R
port by Andreas Weingessel <Andreas.Weingessel@ci.tuwien.ac.at>
Konstantin Kashin <kkashin@fas.harvard.edu>, Adam Glynn <aglynn@emory.edu>, Nahomi Ichino <nichino@umich.edu>
Lixi Yu, Eun-Young Suh, Guohua (James) Pan
K. Gerald van den Boogaart [aut, ths],
Stefanie Rost [aut],
Thomas Petzoldt [aut, ths, cre]
Raymond McTaggart [aut, cre],
Gergely Daroczi [aut],
Quandl Inc. [cph]
Kenneth Benoit [aut, cre],
Paul Nulty [aut],
Pablo Barberá [ctb],
Kohei Watanabe [ctb],
Benjamin Lauderdale [ctb]
Isabelle Charlier and Davy Paindaveine and Jerome Saracco
Jeffrey A. Ryan [aut, cph],
Joshua M. Ulrich [cre, ctb],
Wouter Thielen [ctb]
Roger Koenker with contributions from Stephen Portnoy, Pin Ng, Achim Zeileis, Philip Grosjean and Brian Ripley
Steve Lund [aut],
Long Qu [aut, cre, ctb],
Ian Marschner [aut] (The author of glm2::glm.fit2, which was modified
slightly leading to glm.fit3 in this package.),
R Core Team [aut] (The author of stats::glm.fit, which was modified
slightly leading to glm.fit3 in this package.)
Julien Barnier [aut, cre],
François Briatte [aut],
Joseph Larmarange [aut]
Cho-Jui Hsieh [aut], Matyas A. Sustik [aut, cre], Inderjit S.
Dhillon [aut], Pradeep Ravikumar [aut]
Linares Daniel [aut, cre],
López-Moliner Joan [aut]
Elise Dusseldorp [aut, cre, cph],
Lisa Doove [aut],
Cor Ninaber [ctb] (supported with the plot function),
Iven Van Mechelen [aut, cph]
Reinhard Simon, Pablo Carhuapoma, Vilma Hualla, Stef de Haan, Marc
Ghislain, Jorge Nunez, Rene Gomez, Felipe de Mendiburu, William Roca,
Merideth Bonierbale
Adriano Polpo <polpo@ufscar.br>,
Carlos A. de B. Pereira <cpereira@ime.usp.br>,
Cassio P. de Campos <cassiopc@acm.org>
Wei-Chen Chen, partly adapted and using routines from LAPACK.
Nikolaus Umlauf [aut, cre],
Thomas Kneib [aut],
Stefan Lang [aut],
Achim Zeileis [aut]
The Cuba library has been written by Thomas Hahn
(http://wwwth.mppmu.mpg.de/members/hahn); Interface to R was
written by Annie Bouvier and Kiên Kiêu
Arni Magnusson [aut], Julian Burgos [aut, cre], Gregory R. Warnes [ctb]
Gabriel del Barrio, Juan Puigdefabregas, Maria E. Sanjuan &
Alberto Ruiz
Gianluca Campanella [cre],
Benoit Liquet [aut],
Marc Chadeau-Hyam [aut],
Leonardo Bottolo [ctb],
Sylvia Richardson [ctb]
Eric Lecoutre [aut],
Milan Bouchet-Valat [cre, ctb],
Thomas Friedrichsmeier [ctb]
Yu-Sung Su <suyusung@tsinghua.edu.cn>,
Masanao Yajima <yajima@stat.ucla.edu>,
Christophe Genolini, Bernard Desgraupes, Lionel Riou Franca
Zhengzheng Zhang [aut, cre],
Chris Charlton [aut],
Richard Parker [aut],
George Leckie [aut],
William Browne [aut]
originally written as R2WinBUGS by Andrew Gelman <gelman@stat.columbia.edu>;
changes and packaged by Sibylle Sturtz <sturtz@statistik.tu-dortmund.de>
and Uwe Ligges <ligges@statistik.tu-dortmund.de>.
With considerable contributions by Gregor Gorjanc <gregor.gorjanc@bfro.uni-lj.si>
and Jouni Kerman <kerman@stat.columbia.edu>.
Adapted to R2OpenBUGS from R2WinBUGS by Neal Thomas.
Yixuan Qiu, Yihui Xie, Cameron Bracken and authors of included
software. See file AUTHORS for details.
originally written by Andrew Gelman <gelman@stat.columbia.edu>;
changes and packaged by Sibylle Sturtz <sturtz@statistik.tu-dortmund.de>
and Uwe Ligges <ligges@statistik.tu-dortmund.de>.
With considerable contributions by Gregor Gorjanc <gregor.gorjanc@bfro.uni-lj.si>
and Jouni Kerman <kerman@stat.columbia.edu>.
Ported to S-PLUS by Insightful Corp.
Kevin P. Barry <ta0kira@users.berlios.de> with contributions from Avi Z.
Snyder <avi@npg.wustl.edu>
Ian Taylor, Ian Stewart, Allan Hicks, Tommy Garrison,
Andre Punt, John Wallace, Chantel Wetzel, James Thorson,
Yukio Takeuchi, Cole Monnahan, and other contributors.
Doug Nychka, Eric Gilleland, Liangying Zhang, Tim Hoar
David Moriña (Centre for Research in Environmental Epidemiology, CREAL), Manuel Higueras (Universitat Autònoma de Barcelona and Public Health England) and Pedro Puig (Universitat Autònoma de Barcelona)
Johannes Burkhardt <johannes.burkhardt@gmail.com>, Matthias Bannert
<matthias.bannert@gmail.com>
Carel F.W. Peeters, Wessel N. van Wieringen
Jose Gama [aut, cre, trl],
Vlad Maximov [aut],
Sebastian O.H. Madgwick [aut],
Alain Barraud [ctb]
Wen Chen, Joshua Simpson, C. Andre Levesque
Charles Bouveyron, Yacine Jernite, Pierre Latouche, Laetitia Nouedoui
Zhiyong Zhang, Jack McArdle, Aki Hamagami, & Kevin Grimm
Brian J Smith [aut, cre],
Jun Yan [aut],
Mary Kathryn Cowles [aut]
Martin Schlather [aut, cre], Alexander Malinowski [aut], Marco Oesting [aut], Daphne Boecker [aut], Kirstin Strokorb [aut], Sebastian Engelke [aut], Johannes Martini [aut], Felix Ballani [aut], Olga Moreva [aut], Christoph Berreth [ctr], Peter Menck [ctr], Sebastian Gross [ctr], Ulrike Ober [ctb], Katharina Burmeister [ctb], Juliane Manitz [ctb], Paulo Ribeiro [ctb], Richard Singleton [ctb], Ben Pfaff [ctb], R Core Team [ctb]
Martin Schlather [aut, cre], Reinhard Furrer [ctb]
Fortran original by Leo Breiman and Adele Cutler, R port by
Andy Liaw and Matthew Wiener.
Hemant Ishwaran <hemant.ishwaran@gmail.com>, Udaya B. Kogalur <ubk@kogalur.com>
R port by Yohan Chalabi, Christophe Dutang, Petr Savicky and Diethelm Wuertz with underlying C codes of (i) the SFMT algorithm from M. Matsumoto and M. Saito, (ii) the Knuth-TAOCP RNG from D. Knuth.
Mihai Valcu  <valcu@orn.mpg.de>, James Dale  <J.Dale@massey.ac.nz>
Vasyl Pihur <vpihur@gmail.com>, Somnath Datta
<somnath.datta@louisville.edu>, Susmita Datta
<susmita.datta@louisville.edu>
Sunil Arya and David Mount (for ANN), Samuel E. Kemp, Gregory Jefferis
Sunil Arya and David Mount (for ANN), Samuel E. Kemp, Gregory Jefferis,
Kirill Müller
U.Sangeetha, M.Subbiah with considerable contribution from
M.R.Srinivasan
Markus Loecher <markus.loecher@gmail.com> and Madhav Kumar <madhavkumar2005@gmail.com>
Dirk Eddelbuettel, Junji Nakano, Ei-ji Nakama, and R Core (original code)
Hadley Wickham [trl, cre, cph],
RStudio [cph],
Sridhar Ratnakumar [aut],
Trent Mick [aut],
ActiveState [cph] (R/appdir.r, R/cache.r, R/data.r, R/log.r translated
from appdirs),
Eddy Petrisor [ctb],
Trevor Davis [trl, aut],
Gabor Csardi [ctb],
Gregory Jefferis [ctb]
Aleksandar Blagotić <alex@rapporter.net> and Gergely Daróczi
<daroczig@rapporter.net>
Yixuan Qiu, Jiali Mei and authors of the ARPACK library. See file
AUTHORS for details.
Patrick Mair [cre, aut],
Reinhold Hatzinger [aut],
Norman D. Verhelst [aut]
Daniel Wiesmann <daniel.wiesmann@ist.utl.pt> and David Quinn
<djq@mit.edu>
Robert J. Hijmans [cre, aut],
Jacob van Etten [ctb],
Joe Cheng [ctb],
Matteo Mattiuzzi [ctb],
Michael Sumner [ctb],
Jonathan A. Greenberg [ctb],
Oscar Perpinan Lamigueiro [ctb],
Andrew Bevan [ctb],
Etienne B. Racine [ctb],
Ashton Shortridge [ctb]
Oscar Perpinan Lamigueiro [cre, aut],
Robert Hijmans [aut]
Daniele Giardiello [cre],
Piero Quatto [aut],
Enrico Ripamonti [aut],
Stefano Vigliani [ctb]
Graham Williams [aut, cph, cre],
Mark Vere Culp [cph],
Ed Cox [ctb],
Anthony Nolan [ctb],
Denis White [cph],
Daniele Medri [ctb],
Akbar Waljee [ctb] (OOB AUC for Random Forest),
Brian Ripley [cph] (Author of original print.summary.nnet)
Giulio Vidotto <giulio.vidotto@unipd.it>,
Stefano Noventa <stefano.noventa@unipd.it>,
Davide Massidda <davide.massidda@gmail.com>,
Marco Vicentini <marco.vicentini@gmail.com>
Javier González Hernández <javigzz@yahoo.es>, Sara Varela <svarela@paleobiogeography.org>
Claas-Thido Pfaff [cre, aut],
Karin Nadrowski [aut],
Xingxing Man [aut]
Jeffrey A. Ryan [aut, cre], Bob Rudis [ctb]
Ching-Wei Cheng, Ying-Chao Hung, Narayanaswamy Balakrishnan
Byoungnam Min, Byeonghyeok Park, Kyoung Heon Kim and In-Geol Choi
Jun Yan <jyan@stat.uconn.edu> and Marcos Prates
<marcosop@est.ufmg.br>
Annie Bouvier, Kien Kieu, Kasia Adamczyk, and Herve Monod
Louis-Paul Rivest and Sophie Baillargeon
Charles J. Geyer <charlie@stat.umn.edu> and
Glen D. Meeden <glen@stat.umn.edu>, incorporates code from
cddlib (ver 0.94f) written by Komei Fukuda <fukuda@ifor.math.ethz.ch>
Rajarshi Guha [aut, cre],
CDK Project [ctb, cph] (CDK Java library contained in multiple jar files)
Adrien Todeschini [aut, cre],
Robin Genuer [ctb]
Alex Lisovich [aut, cre],
Roger Day [aut],
Sun Microsystems, Inc [cph] (swing-layout-1.0.4.jar, download from
http://www.java2s.com/Code/Jar/s/Downloadswinglayout104jar.htm)
Michael Linderman [aut],
Robert Bruggner [cre]
Wolfgang Konen <wolfgang.konen@fh-koeln.de>, Nikolaus Hansen <hansen .AT. lri.fr>
John Fox [aut, cre],
Milan Bouchet-Valat [aut],
Liviu Andronic [ctb],
Michael Ash [ctb],
Theophilius Boye [ctb],
Stefano Calza [ctb],
Andy Chang [ctb],
Philippe Grosjean [ctb],
Richard Heiberger [ctb],
Kosar Karimi Pour [ctb],
G. Jay Kerns [ctb],
Renaud Lancelot [ctb],
Matthieu Lesnoff [ctb],
Uwe Ligges [ctb],
Samir Messad [ctb],
Martin Maechler [ctb],
Robert Muenchen [ctb],
Duncan Murdoch [ctb],
Erich Neuwirth [ctb],
Dan Putler [ctb],
Brian Ripley [ctb],
Miroslav Ristic [ctb],
Peter Wolf [ctb],
Kevin Wright [ctb]
John Fox [aut, cre],
Robert Muenchen [ctb],
Dan Putler [ctb]
Ulrike Groemping [aut, cre],
Fox John [ctb]
Maribel Pero <mpero@ub.edu>, David Leiva <dleivaur@ub.edu>,
Joan Guardia <jguardia@ub.edu>, Antonio Solanas <antonio.solanas@ub.edu>
Francois Husson, Julie Josse, Sebastien Le
Richard M. Heiberger, with contributions from Burt Holland
G. Jay Kerns [aut, cre],
Theophilus Boye [ctb],
Tyler Drombosky [ctb]
Andrew Heiss, Richard Payne, Christa Schank
Kristian Hovde Liland [aut, cre],
Solve Sæbø [aut]
Poul Svante Eriksen with contributions by Ege Rubak
Daniel-Corneliu Leucuta [aut, cre],
Mihaela Hedesiu [ctb],
Andrei Achimas [ctb],
Oana Almasan [ctb]
Antonio Solanas <antonio.solanas@ub.edu>, Rumen Manolov
<rrumenov13@ub.edu & Patrick Onghena
<patrick.onghena@ped.kuleuven.be>.
David Leiva <dleivaur@ub.edu> & Han de Vries
<J.deVries@bio.uu.nl>
Milan Bouchet-Valat [aut, cre],
Gilles Bastin [aut]
Ben Bond-Lamberty [aut],
Kathe Todd-Brown [aut, cre]
Darius Kazemi, Matthew Rothenberg, Karl Swedberg, Matthew Hokanson,
Nathan Lachenmyer, Aaron Marriner, Mark Sample, Casey Kolderup,
Nathaniel Mitchell, Daniel D. Beck, Mike Nowak, Ryan Freebern,
Ross Barclay, Ross Binden, Justin Alford, Cole Willsea,
Andrew Gorman, Javier Arce, Patrick Rodriguez,
Liam Cooke, Will Hankinson, K. Adam White, Garrett Miller, Zac Moody,
Jordan Killpack, Brian Jones, Greg Borenstein, Noah Swartz, Nathan Black,
Russell Horton, Mark Wunsch, Kay Belardinelli, Colin Mitchell,
Michael Dewberry, Joe Mahoney
Hector Corrada Bravo, with contributions from Stefan Theussl and Kurt Hornik
Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey,
Qiang Kou, Douglas Bates and John Chambers
Romain Francois [aut, cre],
Kevin Ushey [aut],
John Chambers [ctb]
Romain Francois, Dirk Eddelbuettel and Doug Bates
Dirk Eddelbuettel and Romain Francois, with contributions by David Reiss,
and based on code written during 2005 and 2006 by Dominick Samperi
Dirk Eddelbuettel and Romain Francois, based on code written
during 2005 and 2006 by Dominick Samperi
Dirk Eddelbuettel extending DEoptim (by David Ardia, Katharine Mullen,
Brian Peterson, Joshua Ulrich) which itself is based on DE-Engine (by Rainer Storn)
Douglas Bates, Romain Francois and Dirk Eddelbuettel;
the authors of Eigen for the included version of Eigen
Baptiste Auguie [aut, cre],
Dirk Eddelbuettel [aut],
Steven G. Johnson [aut] (Author of Faddeeva)
JJ Allaire [aut, cre],
Romain Francois [aut, cph],
Gregory Vandenbrouck [aut],
Marcus Geelnard [aut, cph] (TinyThread library,
http://tinythreadpp.bitsnbites.eu/),
RStudio [cph],
Intel [aut, cph] (Intel TBB library,
https://www.threadingbuildingblocks.org/),
Microsoft [cph]
Carl Boettiger [aut],
Ted Hart [aut],
Scott Chamberlain [aut, cre],
Karthik Ram [aut]
Hector Corrada Bravo (CSDP by Brian Borchers)
Hadley Wickham [aut],
Yihui Xie [aut, cre]
Yaqian Guo <yaqiang@stat.stanford.edu> Trevor Hastie
<hastie@stat.stanford.edu> Robert Tibshirani
<tibs@stanford.edu>
Matthieu Stigler [aut],
Bastiaan Quast [aut, cre]
Jaak Simm [aut, cre],
Galina Besstremyannaya [aut]
Trent McDonald [cre, aut],
Ryan Nielson [aut],
Jason Carlisle [aut],
Ben Augustine [ctb],
James Griswald [ctb],
Joel Reynolds [ctb],
Pham Quang [ctb],
Earl Becker [ctb],
Aaron Christ [ctb],
Brook Russelland [ctb],
Patrick McKann [ctb]
Konstantin A. Blagodatskikh [cre, aut],
Stefan Roediger [aut],
Michal Burdukiewicz [aut]
Sebastian Calonico <scalonico@bus.miami.edu>, Matias D. Cattaneo <cattaneo@umich.edu>, Rocio Titiunik <titiunik@umich.edu>
Scott Chamberlain [aut, cre], Carl Boettiger [aut], Karthik Ram
[aut]
Mark S. Handcock [aut, cre],
Krista J. Gile [aut],
Ian E. Fellows [aut],
W. Whipple Neely [aut]
Zhisu Zhu, Yinyu Ye (DSDP by Steve Benson, Yinyu Ye and Xiong Zhang)
Karline Soetaert <karline.soetaert@nioz.nl>,
Filip Meysman <filip.meysman@nioz.nl>
Hadley Wickham [aut, cre],
Romain Francois [aut],
R Core Team [ctb] (Date time code adapted from R),
RStudio [cph]
Jan Marvin Garbuszus [aut],
Sebastian Jeworutzki [aut, cre],
R Core Team [cph]
Hadley Wickham [aut, cre],
RStudio [cph] (Copyright holder of all R code and all C/C++ code
without explicit copyright attribution),
Marcin Kalicinski [ctb, cph] (Author of included RapidXML code),
Komarov Valery [ctb, cph] (Author of included libxls code),
Christophe Leitienne [ctb, cph] (Author of included libxls code),
Bob Colbert [ctb, cph] (Author of included libxls code),
David Hoerl [ctb, cph] (Author of included libxls code)
Andrew Karl, Jennifer Broatch, and Jennifer Green
Philip Reiss <phil.reiss@nyumc.org> and Lei Huang
<huangracer@gmail.com>
Rafael Maia [aut],
Scott Chamberlain [aut],
Andy Teucher [aut],
Sebastian Pardo [aut, cre]
Leonardo Dapporto, Matteo Ramazzotti, Simone Fattorini, Roger
Vila, Gerard Talavera, Roger H.L. Dennis
Andreas Borg <borga@uni-mainz.de>, Murat Sariyar <murat.sariyar@charite.de>
Yixuan Qiu, Chih-Jen Lin, Yu-Chin Juan, Yong Zhuang,
Wei-Sheng Chin and other contributors. See file AUTHORS for
details.
Benjamin Nutter. Initiated by Jeffrey Horner and Will Gray with
contributions from Jeremy Stephens, and Will Beasley
Will Beasley [aut, cre],
David Bard [ctb],
Thomas Wilson [ctb],
John J Aponte [ctb],
Rollie Parrish [ctb],
Benjamin Nutter [ctb],
Andrew Peters [ctb]
Ben Fifield <bfifield@princeton.edu>, Alexander Tarr <atarr@princeton.edu>, Michael Higgins <mjh5@princeton.edu>, and Kosuke Imai <kimai@princeton.edu>
Ciprian Crainiceanu [aut], Philip Reiss [aut], Jeff Goldsmith [aut],
Lei Huang [aut, cre], Lan Huo [aut], Fabian Scheipl [aut], Bruce Swihart
[ctb], Sonja Greven [ctb], Jaroslaw Harezlak [ctb], Madan Gopal Kundu
[ctb], Yihong Zhao [ctb], Matt McLean [ctb], Luo Xiao [ctb]
Weichao Bao, Xin Tong, Meredith Ray, Hongmei Zhang
David Clifford and Peter McCullagh. Additional contributions by
HJ Auinger.
Ulrike Groemping [aut, cre],
Lehrkamp Matthias [ctb]
David Meyer [aut],
Kurt Hornik [aut, cre],
Christian Buchta [ctb]
Vijay Kumar <vkgkp@rediffmail.com> and Uwe Ligges
<ligges@statistik.tu-dortmund.de>
David Firth with contributions from Heather Turner
Maja Pohar Perme [aut, cre],  Klemen Pavlic [ctb]
Michael Hahsler [aut, cre, cph],
Margaret H. Dunham [aut, cph]
Jie Peng <jie@wald.ucdavis.edu>, Pei Wang <pwang@fhcrc.org>, Ji Zhu <jizhu@umich.edu>.
Tim Appelhans, Florian Detsch, Thomas Nauss
Yves Deville <deville.yves@alpestat.com>, IRSN <renext@irsn.fr>
Yves Deville <deville.yves@alpestat.com> and IRSN <renext@irsn.fr>
David Winter [aut, cre],
Scott Chamberlain [ctb]
Barb Banbury <darwinthesun@gmail.com>, Brian O'Meara <bomeara@utk.edu>
Natalia Novoselova,Frank Klawonn, Junxi Wang
Ruth Heller [cre, aut],
Shachar Kaufman [aut],
Shay Yaacoby [aut],
Daniel Yekutieli [aut]
Andy South [aut, cre],
Thomas Finnie [aut],
Ellie Sherrard-Smith [aut],
Ana Bento [aut],
Thibaut Jombart [aut]
David Gohel [aut, cre],
Bootstrap [ctb, cph] (Bootstrap development team),
jQuery [ctb, cph] (The jQuery Foundation),
Dmitry Baranovskiy [ctb, cph] (raphael javascript
libraries)
David Gohel [aut, cre],
Jason Harrop [ctb, cph] (docx4j java library),
Apache Software Foundation [ctb, cph] (Apache Commons java libraries
and log4j),
SLF4J [ctb, cph] (Simple Logging Facade for Java)
Ryan Del Bel
<rdelbel@gmail.com>,
Wei Xu
<wxu@uhnres.utoronto.ca>
Daniel Fischer, Alain Berro, Klaus Nordhausen, Anne Ruiz-Gazen
Eduardo Ibanez [aut, cre],
National Renewable Energy Laboratory [cph]
Lech Madeyski [cre, aut],
Marian Jureczko [ctb] (Data contributor),
Barbara Kitchenham [ctb] (Data contributor)
Leonardo Ramirez-Lopez and Antoine Stevens
Sean Turner [aut, cre],
Stefano Galelli [aut]
Subhash R. Lele, Jonah L. Keim, Peter Solymos
Steffen Liebscher and Thomas Kirschstein
David C. Sterratt [aut, cre, cph],
Daniel Lyngholm [aut, cph]
Kevin Ushey [aut],
Jim Hester [aut, cre],
Robert Krzyzanowski [aut]
Nicholas J. Matzke [aut, cre, cph],
Roger B. Sidje [aut, cph]
Pablo Barbera <pablo.barbera@nyu.edu>, Michael Piccirilli
<mrp2181@columbia.edu>
Robert M. Kirkpatrick <rkirkpatrick2@vcu.edu>, Xiang Li <lixxx554@umn.edu>, and Saonli Basu <saonli@umn.edu>.
Carl Boettiger [aut, cre],
Scott Chamberlain [aut],
Karthik Ram [aut],
Edmund Hart [aut]
Yohei Sato, Nobuaki Oshiro, Shinichi Takayanagi
Carl Boettiger [aut, cre],
Duncan Temple Lang [aut],
Peter C. Wainwright [aut]
Karthik Ram [aut, cre],
Carl Boettiger [aut],
Andrew Dyck [aut]
Fabienne Flessa, Alexandra Kehl, Mohammed Aslam Imtiaz, Matthias Kohl
Andrie de Vries [aut, cre],
Joris Meys [aut]
Jeffrey S. Evans [cre, aut],
Melanie A. Murphy [ctb]
Artem Klevtsov [aut, cre],
Philipp Upravitelev [ctb],
Olga Shramko [ctb]
Matias Salibian-Barrera, Davor Cubranic, and Azadeh
Alimadad, with 'loess' code from Cleveland, Grosse, and Shyu
Scott Chamberlain [aut, cre],
Karthik Ram [aut]
Scott Chamberlain [aut, cre],
Karthik Ram [aut],
Vijay Barve [aut],
Dan Mcglinn [aut]
Joseph Kelly, Hyungsuk Tak, and Carl Morris
Roger Bivand [cre, aut],
Tim Keitt [aut],
Barry Rowlingson [aut],
Edzer Pebesma [ctb],
Michael Sumner [ctb],
Robert Hijmans [ctb],
Even Rouault [ctb]
Walter R. Mebane, Jr. <wmebane@umich.edu>,
Jasjeet Singh Sekhon <sekhon@berkeley.edu>
Oliver Keyes [aut, cre], Drew Schmidt [aut], Maxmind, Inc. [cph], Pascal Gloor [cph]
Roger Bivand [cre, aut],
Colin Rundel [aut],
Edzer Pebesma [ctb],
Karl Ove Hufthammer [ctb]
George Vega Yon <gvegayon@caltech.edu> [aut], Jorge Fábrega Lacoa <jorge.fabrega@uai.cl> [ctb], Joshua B. Kunst <jbkunst@gmail.com> [ctb]
Duncan Temple Lang <duncan@research.bell-labs.com>,
Debby Swayne <dfs@research.att.com>,
Hadley Wickham <h.wickham@gmail.com>,
Michael Lawrence <michafla@gene.com>
María José Haro-Delicado, Virgilio Gómez-Rubio and Francisco
Parreño-Torres
Daniel Adler <dadler@uni-goettingen.de>, Duncan Murdoch <murdoch@stats.uwo.ca>, and others (see README)
Jorrit Poelen [aut, cre],
Stephen Gosnell [aut],
Sergey Slyusarev [aut]
Stefan Theussl [aut, cre],
Kurt Hornik [aut],
Christian Buchta [ctb],
Heinrich Schuchardt [ctb],
Andrew Makhorin [cph],
Timothy A. Davis [cph],
Niklas Sorensson [cph],
Mark Adler [cph],
Jean-loup Gailly [cph]
Jose Gama [aut, cre],
Nicolas Devillard [aut],
Mauricio Galo [ctb],
Patrick J. Bartlein [ctb],
Oscar Perpiñán Lamigueiro [ctb]
Michael Pearmain. Contributions from Nick Mihailowski,
Vignesh Prajapati, Kushan Shah and Nicolas Remy
Oliver Flasch, Olaf Mersmann, Thomas Bartz-Beielstein, Joerg Stork,
Martin Zaefferer
Roger Bivand [cre, aut],
Rainer Krug [ctb],
Markus Neteler [ctb]
Michael Lawrence <michafla@gene.com> and Duncan Temple Lang <duncan@wald.ucdavis.edu>
Tom Taverner, with contributions from John Verzani, Iago Conde
and Liviu Andronic
G. Grothendieck. Author of h2 is Thomas Mueller.
Jonathan Owen [aut, cre, cph],
Jeff Allen [ctb],
Yihui Xie [ctb],
Enzo Martoglio [ctb],
Warpechowski Marcin [ctb, cph] (Handsontable.js library),
Handsoncode sp. z o.o. [ctb, cph] (Handsontable.js library),
Aisch Gregor [ctb, cph] (Chroma.js library),
Wood Tim [ctb, cph] (Moment.js library),
Chernev Iskren [ctb, cph] (Moment.js library),
Moment.js contributors [ctb, cph] (Moment.js library),
Bushell David [ctb, cph] (Pikaday.js library)
Junji NAKANO <nakanoj@ism.ac.jp> and Ei-ji Nakama<nakama@com-one.com>
A. Mendez, L. Rodriguez-Linares, A. Otero, C.A. Garcia, X. Vila, M. Lado
Peter M. Aronow <peter.aronow@yale.edu> and Cyrus Samii
<cds2083@nyu.edu>
Francois Michonneau [aut, cre],
Arnold G. Reinhold [cph]
Francois Michonneau [aut, cph],
Matthew Collins [aut, cre],
Scott Chamberlain [ctb]
Pavel V. Moskalev, Alexey G. Bukhovets and Tatyana Ya.
Biruchinskay
ChungHa Sung, TaeJoon Song, JongHyun Bae, SangGi Hong, Jae W. Lee, and
Junghoon Lee
David C Sterratt [aut, cph, cre],
Mikko Vihtakari [aut, cph]
Vijay Raajaa, Austin Chungath Vincent, Sachin Sudarshana, Vikas Raguttahalli
Vijay Barve<vijay.barve@gmail.com>,
Edmund Hart <edmund.m.hart@gmail.com>
Dr. Nicola Zaccarelli, Dr. Giorgio Mancinelli, and Prof. Dan Bolnick
Chung-hong Chan [aut],
Geoffrey CH Chan [aut],
Thomas J. Leeper [aut, cre],
Christopher Gandrud [aut]
Talita Perciano [aut, cre],
Alejandro C Frery [ctb]
Thomas Alexander Gerds, Thomas Harder Scheike
Patrick J. Heagerty <heagerty@u.washington.edu>, packaging by
Paramita Saha-Chaudhuri <paramita.sahachaudhuri.work@gmail.com>
Jake Bowers <jwbowers@illinois.edu>, Mark Fredrickson
<mark.m.fredrickson@gmail.com>, and Ben Hansen <ben.hansen@umich.edu>
Gabriela Cohen-Freue and Davor Cubranic,
with contributions from B. Kaufmann and R.H. Zamar
Feng Mao <rivervis@outlook.com>, Yichuan Shi <yichuan@live.com>,
and Keith Richards <ksr10@cam.ac.uk>
Aleksander Mendyk [aut, cre], Sebastian Polak [aut]
Oscar Rueda <rueda.om@gmail.com> and Ramon Diaz-Uriarte
<rdiaz02@gmail.com>. zlib from Jean-loup Gailly and Mark Adler;
see README. Function "getHostname.System" from package R.utils
by Henrik Bengtsson.
Xuetong Zhai [aut, cre],
Dev Chakraborty [aut, ths]
Martyn Plummer [aut, cre],
Alexey Stukalov [ctb],
Matt Denwood [ctb]
Sigal Blay [aut],
Jinko Graham [aut],
Brad McNeney [aut, cre],
Annick Nembot-Simo [aut],
Alun Thomas [ctb],
Hin-Tak Leung [ctb]
Attilio Mattiocco, Diana Nicoletti, Gianpaolo Lopez, Banca d'Italia
Aaron Schumacher <ajschumacher@gmail.com>, Håkon Malmedal
G. Grothendieck and Carlos J. Gil Bellosta (authors of Jython
itself are Jim Hugunin, Barry Warsaw, Samuele Pedroni, Brian
Zimmer, Frank Wierzbicki and others; Bob Ippolito is the author
of the simplejson Python module)
Shruti Gupta [aut,cre], Coda Hale and Yammer Inc.[ctb,cph],Sun Microsystems Inc.[ctb,cph],Marc Prud'hommeaux[ctb,cph],Paul Holser[ctb],Junit[ctb,cph],The Apache Software Foundation [ctb,cph],Stefan Groschupf[ctb,cph],Taro L.Saito[ctb],EPFL Typesafe Inc.[ctb,cph],QOS.ch[ctb,cph]
Ingo Feinerer [aut],
Kurt Hornik [aut, cre]
Kurt Hornik [aut, cre],
Eibe Frank [ctb, cph] (KEA Java library),
Olena Medelyan [ctb, cph] (KEA Java library),
The Apache Software Foundation [ctb, cph] (Apache Commons Logging and
Apache Jena Java libraries),
International Business Machines Corporation and others [ctb, cph]
(International Components for Unicode for Java (ICU4J)),
Martin Porter [ctb, cph] (Snowball base),
Richard Boulton [ctb, cph] (Snowball Java library),
University of Waikato [ctb, cph] (Weka Java library)
Luke Winslow, Jordan Read, Richard Woolway, Jennifer Brentrup, Taylor
Leach, Jake Zwart
Hana Sevcikova <hanas@u.washington.edu>, Tony Rossini
<anthony.rossini@novartis.com>
Jouni Helske [aut, cre] (R interface),
Perttu Luukko [aut] (Original libeemd C library)
Carlos A. Silva, Nicholas L. Crookston,
Andrew T. Hudak, Lee A. Vierling
Yusuf Bilgic, Herb Susmann and Joseph McKean
Christoph Burow [aut, cre],
Jan Odvarko [cph] (jscolor.js in www/jscolor),
AnalytixWare [cph] (ShinySky package)
Tudor Bodea <tudor.bodea@ihg.com> & Dev Koushik
<dev.koushik@ihg.com> & Mark Ferguson
<mark.ferguson@mgt.gatech.edu>.
Christoph Bergmeir, Daniel Molina, José M. Benítez
Jeff Laake <jeff.laake@noaa.gov> with code contributions from Eldar
Rakhimberdiev, Ben Augustine and Daniel Turek, and example data and
analysis from Bret Collier, Jay Rotella, David Pavlacky, and Andrew Paul.
JJ Allaire [aut, cre],
Joe Cheng [aut],
Yihui Xie [aut],
Jonathan McPherson [aut],
Winston Chang [aut],
Jeff Allen [aut],
Hadley Wickham [aut],
Rob Hyndman [aut],
RStudio, Inc. [cph],
jQuery Foundation [cph] (jQuery library),
jQuery contributors [ctb, cph] (jQuery library; authors listed in
inst/rmd/h/jquery-AUTHORS.txt),
Mark Otto [ctb] (Bootstrap library),
Jacob Thornton [ctb] (Bootstrap library),
Bootstrap contributors [ctb] (Bootstrap library),
Twitter, Inc [cph] (Bootstrap library),
Alexander Farkas [ctb, cph] (html5shiv library),
Scott Jehl [ctb, cph] (Respond.js library),
Ivan Sagalaev [ctb, cph] (highlight.js library),
John MacFarlane [ctb, cph] (Pandoc templates),
Google, Inc. [ctb, cph] (ioslides library),
Dave Raggett [ctb] (slidy library),
W3C [cph] (slidy library)
Stefan Widgren [aut, cre] (Author of the R interface to the C-library
matio),
Christopher Hulbert [aut] (Author of the C-library matio,
http://sourceforge.net/projects/matio/)
Henrik Bengtsson [aut, cre, cph], Andy Jacobson [ctb] (Internal MAT v4 reader), Jason Riedy [ctb] (Support for reading compressed files (via 'Rcompression'), sparse matrices and UTF-encoded strings.)
Davood Tofighi <dtofighi@psych.gatech.edu> and David P. MacKinnon
<davidpm@asu.edu>
Allan Strand <stranda@cofc.edu>,
James Niehaus
Benjamin Auder [aut, cre],
Remi Lebret [aut],
Serge Iovleff [aut],
Florent Langrognet [aut],
C. Biernacki [ctb],
G. Celeux [ctb],
G. Govaert [ctb]
MongoDB, Inc. (mongo-c-driver) & Markus Schmidberger (mongosoup.de).
Formerly Gerald Lindsly.
C code by A. Canale and N. Lunardon, port and R code by A.
Canale
Iain M. Johnstone, Zongming Ma, Patrick O. Perry and Morteza Shahram.
Jeroen Ooms [aut, cre],
David James [aut],
Saikat DebRoy [aut],
Hadley Wickham [aut],
Jeffrey Horner [aut],
RStudio [cph]
Michael U. Kemp <mukemp+RNCEP@gmail.com> with contributions from E. Emiel van Loon, Judy Shamoun-Baranes, and Willem Bouten
Francois Michonneau [aut, cre],
Ben Bolker [aut],
Mark Holder [aut],
Paul Lewis [aut],
Brian O'Meara [aut]
Pavel Michna, with contributions from Milton Woods
Carl Boettiger [cre, aut],
Scott Chamberlain [aut],
Hilmar Lapp [aut],
Kseniia Shumelchyk [aut],
Rutger Vos [aut]
C code by F. Panneton, P. L'Ecuyer and M. Matsumoto and R port by Christophe Dutang and Petr Savicky <savicky@cs.cas.cz>.
Jon Clayden, based on original code by Marc Modat and Pankaj Daga
Yifan Ethan Xu <ethan.yifanxu@gmail.com>, Jiayang Sun <jsun@case.edu>
Hart Edmund [ctb],
Scott Chamberlain [aut, cre],
Karthik Ram [ctb],
Adam Erickson [ctb]
Claudia Vitolo [aut, cre], Matthew Fry [ctb]
Jeff Gentry <geoffjentry@gmail.com>, Duncan Temple Lang
<duncan@r-project.org>
Matthias Templ, Karel Hron, Peter Filzmoser
Roland Fried <fried@statistik.tu-dortmund.de>, Karen
Schettlinger <schettlinger@statistik.tu-dortmund.de> and
Matthias Borowski <borowski@statistik.tu-dortmund.de>
Anita M. Thieler, Jonathan Rathjens and Roland Fried, with contributions from Brenton R. Clarke, Uwe Ligges, Matias Salibian-Barrera, Gert Willems and Victor Yohai
Jiahui Wang,
Ruben Zamar <ruben@stat.ubc.ca>,
Alfio Marazzi <Alfio.Marazzi@inst.hospvd.ch>,
Victor Yohai <vyohai@dm.uba.ar>,
Matias Salibian-Barrera <matias@stat.ubc.ca>,
Ricardo Maronna <maron@mate.unlp.edu.ar>,
Eric Zivot <ezivot@u.washington.edu>,
David Rocke <dmrocke@ucdavis.edu>,
Doug Martin,
Martin Maechler <maechler@stat.math.ethz.ch>,
Kjell Konis <kjell.konis@me.com>.
Alfio Marazzi <Alfio.Marazzi@chuv.ch>, Jean-Luc Muralti
Original code by many authors, notably
Peter Rousseeuw and Christophe Croux, see file 'Copyrights';
Valentin Todorov <valentin.todorov@chello.at>,
Andreas Ruckstuhl <andreas.ruckstuhl@zhaw.ch>,
Matias Salibian-Barrera <matias@stat.ubc.ca>,
Tobias Verbeke <tobias.verbeke@openanalytics.eu>,
Manuel Koller <mkoller@ispm.unibe.ch>,
Martin Maechler
Aishat Aloba, Kai Yu, Xin Dang, Yixin Chen, and Henry Bart Jr.
Raymond K. W. Wong, Fang Yao and Thomas C. M. Lee
Claudio Agostinelli <claudio@unive.it>, Alfio Marazzi <Alfio.Marazzi@chuv.ch>, Victor Yohai <vyohai@uolsinectis.com.ar> and Alex Randriamiharisoa <Alex.Randriamiharisoa@chuv.ch>
Claudio Agostinelli <claudio@unive.it> and Victor J. Yohai <victoryohai@gmail.com>
Werner Stahel, Martin Maechler and potentially others
Tobias Sing, Oliver Sander, Niko Beerenwinkel, Thomas Lengauer
Y. Foucher, K. Trebern-Launay and M. Lorent
Brian Ripley [aut, cre],
Michael Lapsley [aut] (1999 to Oct 2002)
Mateusz Zoltak [aut, cre],
Brian Ripley [aut],
Michael Lapsley [aut]
Pablo Tamayo <pablo.tamayo@oracle.com> and Ari Mozes
<ari.mozes@oracle.com>
Kurt Hornik [aut],
David Meyer [aut],
Stefan Theussl [aut, cre]
Karline Soetaert [aut, cre],
yale sparse matrix package authors [cph]
Keerthi Chandra [aut, cre],
Chris Johannessen [aut],
Siddharth Somayajula [ctb]
Matthias Kohl <Matthias.Kohl@stamats.de>, Peter Ruckdeschel
Denis Mukhin, David A. James and Jake Luciani
Nicola Lunardon, Giovanna Menardi, Nicola Torelli
Bryan Stanfill <bryan.stanfill@csiro.au>, Heike Hofmann
<hofmann@iastate.edu>, Ulrike Genschel <ulrike@iastate.edu>
Francois Michonneau [aut, cre],
Joseph Brown [aut],
David Winter [aut]
Lala Septem Riza [aut],
Andrzej Janusz [aut],
Dominik Ślęzak [ctb],
Chris Cornelis [ctb],
Francisco Herrera [ctb],
Jose Manuel Benitez [ctb],
Christoph Bergmeir [ctb, cre],
Sebastian Stawicki [ctb]
Hadley Wickham [aut, cre, cph],
Peter Danenberg [aut, cph],
Manuel Eugster [aut, cph],
RStudio [cph]
Terry Therneau [aut],
Beth Atkinson [aut],
Brian Ripley [aut, trl, cre] (author of initial R port)
Giuliano Galimberti, Gabriele Soffritti, Matteo Di Maso
Timothy I. Cannings and Richard J. Samworth
Joshua Pritikin [cre, aut],
Jonathan Weeks [ctb],
Li Cai [ctb],
Carrie Houts [ctb],
Phil Chalmers [ctb],
Michael D. Hunter [ctb]
Melissa Hubisz, Katherine Pollard, and Adam Siepel
Eric W. Goolsby, Jorn Bruggeman, Cecile Ane
Barb Banbury <bbanbury@utk.edu>, Kurt Michels
<kamichels@math.arizona.edu>, Jeremy M. Beaulieu
<jeremy.beaulieu@yale.edu>, Brian O'Meara <bomeara@utk.edu>
Eduardo Ibanez [aut, cre],
Marcin Kalicinski [ctb] (for the included RapidXml source),
National Renewable Energy Laboratory [cph]
Scott Chamberlain [aut, cre],
Carl Boettiger [aut],
Karthik Ram [aut]
E. Andres Houseman, Sc.D. and Devin C. Koestler, Ph.D.
Joe Conway, Dirk Eddelbuettel, Tomoaki Nishiyama, Sameer Kumar
Prayaga (during 2008), Neil Tiffin
Mohamed Laib, Imane Rezgui and Zebida Gheribi-Aoulmi
Heiko Mannsperger with contributions of Stephan Gade
Romain Francois, Dirk Eddelbuettel, Murray Stokely and Jeroen Ooms
Thomas J. Leeper [aut, cre],
Jeroen Ooms [ctb]
Dirk Eddelbuettel, Khanh Nguyen (during 2009-2010)
Graeme Blair <graeme.blair@columbia.edu>, Yang-Yang Zhou <yz3@princeton.edu>, Kosuke Imai <kimai@princeton.edu>
Torben Schulz-Streeck, Boubacar Estaghvirou, Frank Technow
Ei-ji Nakama <nakama@com-one.com>, Junji NAKANO <nakanoj@ism.ac.jp>
Fortran original by Leo Breiman and Adele Cutler, R port by
Andy Liaw and Matthew Wiener, Regularized random forest by
Houtao Deng.
Natalia Belgorodski [aut] (STAT-UP Statistical Consulting),
Matthias Greiner [aut, cre] (Federal Institute for Risk Assessment,
Germany),
Kristin Tolksdorf [aut] (Federal Institute for Risk Assessment,
Germany),
Katharina Schueller [aut] (STAT-UP Statistical Consulting),
Matthias Flor [ctb] (Federal Institute for Risk Assessment, Germany),
Lutz Göhring [ctb] (Lutz Göhring Consulting)
Moritz Gschwandtner, Peter Filzmoser, Christophe Croux,
Gentiane Haesbroeck
Daniel W. Heck [aut, cre], Morten Moshagen [aut]
Beatriz Cobo Rodríguez, María del Mar Rueda García, Antonio Arcos
Cebrián
Oliver Flasch, Olaf Mersmann, Thomas Bartz-Beielstein
Kelly Burkett, Brad McNeney, Jinko Graham
David B. Dahl [aut, cre],
Scala developers [ctb] (see http://scala-lang.org/)
Oldemar Rodriguez R. with contributions from Olger Calderon and Roberto Zuniga
Nabil Mustafa <http://sma.epfl.ch/~moustafa/index.html>, Saurabh Ray <http://www.mpi-inf.mpg.de/~saurabh/>, Mudassir Shabbir <http://paul.rutgers.edu/~mudassir/>.
Emmanuel Blondel [aut, cre],
Matthieu Stigler [ctb]
Kevin Wright [aut, cre],
Jean-Louis Laffont [aut]
Wolfgang Konen <wolfgang.konen@fh-koeln.de>, Martin Zaefferer,
Patrick Koch; Bug hunting and testing by Ayodele Fasika, Ashwin
Kumar, Prawyn Jebakumar
Jeff Dumont [aut, cre],
Jeff Keller [aut],
Chase Carpenter [ctb]
Ruth Ripley, Krists Boitmanis, Tom A.B. Snijders
Sangkyun Lee <sangkyun.lee@tu-dortmund.de>, Michel Lang
<michellang@gmail.com>
Willem Paling, Randy Zwitch & Jowanza Joseph
Scott Chamberlain [aut, cre],
Kevin Ushey [aut]
Chanhee Yi, Alexander Sibley, and Kouros Owzar
Hugh Devlin, Ph. D., Tom Schenk, Jr., and John Malc
Michael King <wmichaelking1@gmail.com> and Fernando Cela Diaz <fcela@sloan.mit.edu>. Original sofia-ml code by D. Sculley <dsculley@google.com>.
Martha Ellis, Jake Ivan, Jody Tucker, Mike Schwartz
Jose Gama [aut, cre],
John Fuller [aut, cph],
Paolo Leva [aut, cph]
Milan Bimali, Joseph Usset, Brooke L. Fridley
Hadley Wickham [aut, cre],
David A. James [aut],
Seth Falcon [aut],
SQLite Authors [ctb] (for the included SQLite sources),
Liam Healy [ctb] (for the include SQLite extensions),
RStudio [cph]
Imanuel Costigan [aut, cre],
The jTDS Project [aut] (for MSSQL Server driver),
Simon Urbanek [ctb],
The Legion Of The Bouncy Castle [cph, ctb]
Anton Korobeynikov, Alex Shlemov, Konstantin Usevich, Nina Golyandina
Jiqiang Guo [aut],
Daniel Lee [ctb],
Ben Goodrich [cre, aut],
Joel de Guzman [ctb],
Eric Niebler [ctb],
Thomas Heller [ctb],
John Fletcher [ctb]
Mark Clements [aut, cre], Xing-Rong Liu [aut], Paul Lambert [ctb]
Hadley Wickham [aut],
JJ Allaire [aut, cre],
RStudio [cph]
Scott Chamberlain [aut, cre],
Thomas J. Leeper [ctb]
T Jake Luciani <jakeluciani@yahoo.com>, Matthieu Decorde
<matthieu.decorde@ens-lyon.fr>, Vaudor Lise <lise.vaudor@ens-lyon.fr>
Tony Plate <tplate@acm.org>, based on RSvgDevice by T Jake Luciani <jakeluciani@yahoo.com>
Reinhard Harter [aut],
Kurt Hornik [aut, cre],
Stefan Theussl [aut],
Cyrille Szymanski [ctb]
G Grothendieck (SymPy itself is by Ondrej Certik and others),
Contributors: Carlos J. Gil Bellosta
Christophe Dutang [aut, cre], Armelle Guillou [ctb], Yuri Goegebeur [ctb]
Scott Brown [aut],
Matthew Gretton [aut],
Andrew Heathcote [aut],
Andreas Voss [ctb],
Jochen Voss [ctb],
Andrew Terry [ctb],
Henrik Singmann [aut, cre]
James Li and Jacob Bien and Martin Wells
Timothy P. Jurka, Loren Collingwood, Amber E. Boydstun,
Emiliano Grossman, Wouter van Atteveldt
Nicholas Peterson, Andre Martins, Melissa Hubisz, and Adam
Siepel
Serge Iovleff [aut, cre],
Vincent Kubicki [ctb],
Quentin Grimonprez [ctb],
Parmeet Bhatia [ctb]
Jonathan Shewchuk, David C. Sterratt <david.c.sterratt@ed.ac.uk>
Winston Chang,
Andrew Weeks,
Frank M. Siegert,
Mark Heath,
Thomas Henlick,
Sergey Babkin,
Turgut Uyar,
Rihardas Hepas,
Szalay Tamas,
Johan Vromans,
Petr Titera,
Lei Wang,
Chen Xiangyang,
Zvezdan Petkovic,
Rigel,
I. Lee Hetherington
Matthias Burger <burgerm@users.sourceforge.net>, Klaus
Juenemann <k.junemann@gmx.net>, Thomas Koenig
<thomas.koenig@epigenomics.com>
Matthew Denwood [aut, cre],
Martyn Plummer [cph] (Copyright holder of the code in
/src/distributions/jags, src/distributions/DPar1.*, configure.ac,
and original copyright holder of some modified code where
indicated)
Stefan Schlager; the authors of VCGLIB for the included version of the
code
Gabor Csardi [aut, cre],
Jeroen Ooms [ctb]
Scott Chamberlain [aut, cre], Chris Ray [aut], Vijay Barve [aut]
Josef Leydold and Sougata Chaudhuri <sgtchaudhuri@gmail.com>
Roland Rau Cards were created by Byron Knoll and released into
the public domain.  They were downloaded from
http://code.google.com/p/vector-playing-cards/downloads/detail?name=PNG-cards-1.2.zip
on 2012-06-08.  Byron Knoll stated in his blog that the cards
were released by him into the public domain:
http://byronknoll.blogspot.de/2011/03/vector-playing-cards.html
The backside of the cards were created by Roland Rau using the
R-Logo.
Alexandre Bureau, Ingo Ruczinski, Samuel G. Younkin
S original by Rene Carmona <rcarmona@princeton.edu> and Bruno
Torresani <bruno.torresani@cmi.univ-mrs.fr>; R port by Brandon
Whitcher <bjw34032@users.sourceforge.net>; upgrade by Jonathan M. Lees<jonathan.lees@unc.edu>
Kurt Hornik [aut, cre],
Christian Buchta [ctb],
Torsten Hothorn [ctb],
Alexandros Karatzoglou [ctb],
David Meyer [ctb],
Achim Zeileis [ctb]
Kurt Hornik [aut, cre],
University of Waikato [ctb, cph] (Weka Java library)
Uwe Ligges <Uwe.Ligges@R-project.org>
with contributions (the original R-Sweave mode) from Gilbert Ritschard and Karl Koeller
Anthony Albano <tony.d.albano@gmail.com>, Ben Babcock
<ben.babcock@arrt.org>
D. James Greiner, Paul Baines, and Kevin M. Quinn
Patrick Meyer and Sebastien Bigaret, with contributions from Krzysztof Ciomek.
Rob Goedman <goedman@mac.com>, Gabor Grothendieck <ggrothendieck@gmail.com>, Søren Højsgaard <Soren.Hojsgaard@agrsci.dk>, Ayal Pinkus <apinkus@xs4all.nl>
Eliandro Ronael Gilbert, Mauricio Garcia de Camargo, Leonardo Sandrini-Neto
Andrew Balemi, Dineika Chandra, James Curran, Brant Deppa, Mike Forster, Brendan McArdle, Chris Wild
Virginie Guemas <virginie.guemas@ic3.cat>, Nicolau Manubens Gil <nicolau.manubens@ic3.cat>, Isabel Andreu-Burillo <isabel.andreu-burillo@ic3.cat>, Fabian Lienert <fabian.lienert@ic3.cat>, Javier Garcia-Serrano <jgarcia@ic3.cat>, Ludovic Auger <ludovic.auger@meteo.fr>, Chloé Prodhomme <chloe.prodhomme@ic3.cat>, Martin Ménégoz <martin.menegoz@ic3.cat>
Paulo I. Prado, Murilo Dantas Miranda and Andre Chalom
Emmanuelle Comets, Audrey Lavenu, Marc Lavielle.
Stephen Hogg [aut, cre],
Eugene Dubossarsky [aut]
Maria Dolores Esteban Lefler, Domingo Morales Gonzalez, Agustin Perez Martin
Sebastian Warnholz [aut, cre],
Timo Schmid [aut]
Wolfgang Trutschnig <wolfgang@trutschnig.net>, Asun Lubiano
<lubiano@uniovi.es>
Tuo Zhao, Xingguo Li, Han Liu, and Kathryn Roeder
Madeleine Thompson, except dchud.f and dchdd.f, which were written by
G. W. Stewart.
Arne Henningsen <arne.henningsen@gmail.com>,
Ott Toomet <otoomet@ut.ee>
Wei Jiang, Jonathan Mahnken, Matthew Mayo
Lawrence Joseph <lawrence.joseph@mcgill.ca> and Patrick Belisle
<pbelisle@epimgh.mcgill.ca>
Lawrence Joseph <lawrence.joseph@mcgill.ca>, Roxane du Berger
and Patrick Belisle <pbelisle@epimgh.mcgill.ca>
Yves Tillé <yves.tille@unine.ch>, Alina Matei <alina.matei@unine.ch>
Juliane Manitz <manitzj@gmx.de>, contributions by Mark
Hempelmann <mark.hempelmann@o2online.de>, Goeran Kauermann
<gkauermann@wiwi.uni-bielefeld.de>, Helmut Kuechenhoff
<kuechenhoff@stat.uni-muenchen.de>, Shuai Shao
<shuai.shao@campus.lmu.de>, Cornelia Oberhauser
<conny.oberhauser@gmx.de>, Nina Westerheide
<nwesterheide@wiwi.uni-bielefeld.de>, Manuel Wiesenfarth
<m.wiesenfarth@uni-goettingen.de>
Giulio Barcaroli, Daniela Pagliuca and Egon Willighagen
Emilio Lopez Escobar [aut, cre], Ernesto Barrios Zamudio [ctb] <ebarrios@itam.mx>
R. Tibshirani, G. Chu, Balasubramanian Narasimhan, Jun Li
Noory Y. Kim. Advisors: Shrikant I. Bangdiwala, Gerald Gartlehner.
Thomas Lumley [aut],
Achim Zeileis [aut, cre]
The Institute of Statistical Mathematics
Original by Littell, Milliken, Stroup, and Wolfinger,
modifications by Douglas Bates <bates@stat.wisc.edu>, Martin Maechler,
Ben Bolker and Steven Walker
Pei Wang <pwang@fhcrc.org>, Yan Liu <yanliu@fhcrc.org>
Thomas Nauss, Hanna Meyer, Florian Detsch, Tim Appelhans
Jesus Palomo [aut, cre],
Gonzalo Garcia-Donato [aut],
Rui Paulo [aut],
James Berger [ctb],
Maria Jesus Bayarri [ctb],
Jerome Sacks [ctb]
Paul Fischer [aut, cre, cph],
Astrid Hilbert [ctb, cph]
Valentin Rousson <rousson@ifspm.unizh.ch> and Martin Maechler
Lee Wilkinson <leland.wilkinson@gmail.com> and Anushka Anand
Uwe Ligges <ligges@statistik.tu-dortmund.de>, Martin Maechler, Sarah Schnackenberg
Matteo Dell'Omodarme [aut, cre],
Giada Valle [aut]
Guillaume Cornu [cre, aut],
Frederic Mortier [aut],
Catherine Trottier [aut],
Xavier Bry [aut]
Philipp Erb, David Luethi, Juri Hinz, Simon Otziger
Manuel Morales <mmorales@williams.edu>, with code developed by
the R Development Core Team and with general advice from the
R-help listserv community, especially Duncan Murdoch.
Craig T. Armstrong, Thomas L. Vincent <tlfvincent@gmail.com>, Peter J. Green and Derek N. Woolfson <D.N.Woolfson@bristol.ac.uk>
Enio Jelihovschi <eniojelihovs@gmail.com>
José Cláudio Faria <joseclaudio.faria@gmail.com>
Ivan Bezerra Allaman <ivanalaman@gmail.com>
Holger Schwender, with a contribution of Arno Fritsch
Paul Staab [aut, cre, cph],
Zhu Sha [aut, cph],
Dirk Metzler [aut, cph, ths],
Gerton Lunter [aut, cph, ths]
Adrian Baddeley [aut, cre],
Vittorio Broglio [ctb, dtc],
Pedro Antonio Neves [ctb, dtc],
Andrew Bassom [ctb],
Peter Buzzacott [ctb]
Miika Ahdesmaki, Verena Zuber, Sebastian Gibb, and Korbinian Strimmer
Matthias Templ, Alexander Kowarik, Bernhard Meindl
Alexander Kowarik, Matthias Templ, Bernhard Meindl, Francois Fonteneau
Luca Bagnato, Lucio De Capitani, Angelo Mazza and Antonio Punzo
Etienne Lord, Margaux Le Cam, Eric Bapteste, Vladimir Makarenkov and Francois-Joseph Lapointe
Jeremy VanDerWal, Lorena Falconi, Stephanie Januchowski, Luke Shoo and
Collin Storlie
Benjamin Baumgartner [aut, cre],
Riccardo Gatto [ctb, ths],
Sebastian Szugat [ctb]
Angel M. Garcia [aut, cre],
Pedro Gonzalez [aut, cph],
Cristobal J. Carmona [aut, cph],
Francisco Charte [ctb]
Boxiang Wang <boxiang@umn.edu>, Hui Zou <hzou@stat.umn.edu>
Jean-Pierre Gattuso [aut, cre, cph],
Jean-Marie Epitalon [aut],
Heloise Lavigne [aut],
James Orr [ctb],
Bernard Gentili [ctb],
Andreas Hofmann [ctb],
Aurélien Proye [ctb],
Karline Soetaert [ctb],
James Rae [ctb]
Anne Corinne Huggins-Manley [aut, cre], Douglas Whitaker [aut]
Rutger M. van den Bor and Willem M. van der Wal
Jerome Sueur <sueur@mnhn.fr> [cre, au], Thierry Aubin [au],
Caroline Simonis [au], Laurent Lellouch [main ctrb]
Ethan C. Brown [ctrb], Marion Depraetere [ctrb],
Camille Desjonqueres [ctrb], Francois Fabianek [ctrb]
Amandine Gasc [ctrb], Stefanie LaZerte [ctrb], Jonathan Lees [ctrb],
Jean Marchal [ctrb],  Sandrine Pavoine [ctrb], Alicia Stotz [ctrb],
Luis J. Villanueva-Rivera [ctrb], Zev Ross [ctrb],
Carl G. Witthoft [ctrb], Hristo Zhivomirov [ctrb].
Seong-Yun Hong [aut, cre],
David O'Sullivan [ctb]
Eleni Ioanna Delatola, Emilie Lebarbier, Tristan Mary-Huard, Francois Radvanyi, Stephane Robin, Jennifer Wong
Frank Papenmeier [aut, cre],
Konstantin Sering [ctb]
Alice Cleynen, Guillem Rigaill, Michel Koskas
Xuefei Mi, H. Friedrich Utz, Albrecht E. Melchinger (Project contact person: Melchinger@uni-hohenheim.de )
Simon Potter [aut, trl, cre],
Simon Sapin [aut],
Ian Bicking [aut]
Lang Ho Lee, Arnold Saxton, Nathan Verberkmoes
Frank Technow [aut, cre] (Pioneer Hi-Bred International, Inc., Johnston, Iowa)
Mohammed Sedki, Gilles Celeux, Cathy Maugis-Rabusseau
John Fox [aut, cre],
Zhenghua Nie [aut],
Jarrett Byrnes [aut],
Michael Culbertson [ctb],
Saikat DebRoy [ctb],
Michael Friendly [ctb],
Goodrich Benjamin [ctb],
Richard H. Jones [ctb],
Adam Kramer [ctb],
Georges Monette [ctb],
R-Core [ctb]
Rina Foygel <rina@uchicago.edu>, Mathias Drton <md5@uw.edu>.
Giampiero Marra <giampiero.marra@ucl.ac.uk> and Rosalba Radice <r.radice@bbk.ac.uk>
Giampiero Marra, Rosalba Radice, Malgorzata Wojtys and Karol Wyszynski
Sunthud Pornprasertmanit [aut, cre],
Patrick Miller [aut],
Alexander Schoemann [aut],
Yves Rosseel [aut],
Corbin Quick [ctb],
Mauricio Garnier-Villarreal [ctb],
James Selig [ctb],
Aaron Boulton [ctb],
Kristopher Preacher [ctb],
Donna Coffman [ctb],
Mijke Rhemtulla [ctb],
Alexander Robitzsch [ctb],
Craig Enders [ctb],
Ruber Arslan [ctb],
Bell Clinton [ctb],
Pavel Panko [ctb],
Edgar Merkle [ctb],
Terry Jorgensen [ctb],
Steven Chesnut [ctb],
Jarrett Byrnes [ctb]
Olaf Mersmann [aut, cre],
Quinn Weber [ctb]
Daniel P Gaile <dpgaile@buffalo.edu>, Lori A. Shepherd
<las65@buffalo.edu>, Lara Sucheston <lsuchest@buffalo.edu>,
Andrew Bruno <aebruno2@ccr.buffalo.edu>, Kenneth F. Manly
<manly@buffalo.edu>
Gilles Pujol, Bertrand Iooss, Alexandre Janon with contributions from Sebastien Da Veiga, Jana Fruth, Laurent Gilquin, Joseph Guillaume, Loic Le Gratiet, Paul Lemaitre, Bernardo Ramos, Taieb Touati
Francois Husson, Sebastien Le, Marine Cadoret
Brian C. Franczak, Ryan P. Browne and Paul D. McNicholas
Rune Haubo Bojesen Christensen [aut, cre],
Per Bruun Brockhoff [aut]
Brian D. Greenhill, Michael D. Ward and Audrey Sacks
Michal Juraska and Doug Grove, with contributions from Xuesong Yu and Peter B. Gilbert
Delphine Charif and Jean R. Lobry and Anamaria Necsulea and Leonor Palmeira and Simon Penel and Guy Perriere
Arie Voorman, Jennifer Brody, Han Chen, Thomas Lumley
Xiaowei Zhan <zhanxw@gmail.com> and Dajiang Liu
<dajiang.liu@gmail.com>, with contributions from Heng Li
<lh3@live.co.uk> (Heng Li wrote tabix and with MIT license
we include tabix source codes).
Laurent Gatto [aut, cre],
Robert Stojnic [aut]
Francesco Favero, Andrea M. Marquard, Tejal Joshi, Aron C. Eklund
Michael Hahsler [aut, cre, cph],
Christian Buchta [aut, cph],
Kurt Hornik [aut, cph],
Fionn Murtagh [ctb, cph],
Michael Brusco [ctb, cph],
Stephanie Stahl [ctb, cph],
Hans-Friedrich Koehn [ctb, cph]
Peter Teunis [aut] (Author of the method and original code),
Daniel Lewandowski [com, ctb] (Creator of the R package),
Chantal Quinten [ctb, cre] (Project manager and the package maintainer)
Carson Sievert [ctb],
Jesse Anderson [ctb],
Yihui Xie [aut, cre]
Eric Lamb [aut, cre],
Kerrie Mengersen [aut],
Katherine Stewart [aut],
Udayanga Attanayake [aut],
Steven Siciliano [aut]
David Meyer [aut, cre],
Kurt Hornik [aut],
Christian Buchta [ctb]
Ariane Straub, under the supervision of Torsten Hothorn
Joe Houpt <joseph.houpt@wright.edu>, Leslie Blaha <Leslie.Blaha@wpafb.af.mil>
Dustin Tran [aut, cre],
Tian Lian [aut],
Panos Toulis [aut],
Ye Kuang [ctb],
Edoardo Airoldi [ctb]
S original by James J. Majure <majure@iastate.edu> Iowa State
University, R port + extensions by Albrecht Gebhardt
<albrecht.gebhardt@uni-klu.ac.at>
Noah Simon, Jerome Friedman, Trevor Hastie, and Rob Tibshirani
Balasubramanian Narasimhan [aut, cre],
Mei-Chiung Shih [aut]
Irene Castro Conde and Jacobo de Una Alvarez
Damian W. Betebenner [aut, cre],
Adam Van Iwaarden [aut],
Ben Domingue [aut]
Benoit Liquet and Pierre Lafaye de Micheaux
Lisa Anne Libungan [aut, cre],
Snaebjorn Palsson [aut, ths]
Mary C. Meyer, Xiyue Liao, Elizabeth Freeman, Gretchen G. Moisen
Winston Chang [aut, cre],
Joe Cheng [aut],
JJ Allaire [aut],
Yihui Xie [aut],
Jonathan McPherson [aut],
RStudio [cph],
jQuery Foundation [cph] (jQuery library and jQuery UI library),
jQuery contributors [ctb, cph] (jQuery library; authors listed in
inst/www/shared/jquery-AUTHORS.txt),
jQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in
inst/www/shared/jqueryui/1.10.4/AUTHORS.txt),
Mark Otto [ctb] (Bootstrap library),
Jacob Thornton [ctb] (Bootstrap library),
Bootstrap contributors [ctb] (Bootstrap library),
Twitter, Inc [cph] (Bootstrap library),
Alexander Farkas [ctb, cph] (html5shiv library),
Scott Jehl [ctb, cph] (Respond.js library),
Stefan Petre [ctb, cph] (Bootstrap-datepicker library),
Andrew Rowls [ctb, cph] (Bootstrap-datepicker library),
Dave Gandy [ctb, cph] (Font-Awesome font),
Brian Reavis [ctb, cph] (selectize.js library),
Kristopher Michael Kowal [ctb, cph] (es5-shim library),
es5-shim contributors [ctb, cph] (es5-shim library),
Denis Ineshin [ctb, cph] (ion.rangeSlider library),
SpryMedia Limited [ctb, cph] (DataTables library),
John Fraser [ctb, cph] (showdown.js library),
John Gruber [ctb, cph] (showdown.js library),
Ivan Sagalaev [ctb, cph] (highlight.js library),
R Core Team [ctb, cph] (tar implementation from R)
Winston Chang [aut, cre],
RStudio [cph],
Mark Otto [ctb] (Bootstrap library),
Jacob Thornton [ctb] (Bootstrap library),
Bootstrap contributors [ctb] (Bootstrap library; authors listed at
https://github.com/twbs/bootstrap/graphs/contributors),
Twitter, Inc [cph] (Bootstrap library),
Brian Reavis [ctb, cph] (selectize.js library),
Egor Khmelev [ctb, cph] (jslider library),
SpryMedia Limited [ctb, cph] (DataTables library)
Winston Chang [aut, cre],
RStudio [cph],
Almasaeed Studio [ctb, cph] (AdminLTE theme for Bootstrap),
Adobe Systems Incorporated [ctb, cph] (Source Sans Pro font)
Winston Chang [aut, cre],
RStudio [cph],
Thomas Park [ctb, cph] (Bootswatch themes),
Lukasz Dziedzic [ctb, cph] (Lato font),
Nathan Willis [ctb, cph] (News Cycle font),
Google Corporation [ctb, cph] (Open Sans font),
Matt McInerney [ctb, cph] (Raleway font),
Adobe Systems Incorporated [ctb, cph] (Source Sans Pro font),
Canonical Ltd [ctb, cph] (Ubuntu font)
Trestle Technology, LLC [aut],
Jeff Allen [cre],
Institut de Radioprotection et de S<c3><bb>ret<c3><a9> Nucl<c3><a9>aire
[cph],
Ivan Bozhanov [ctb, cph] (jsTree),
The Dojo Foundation [ctb, cph] (require.js),
jQuery Foundation, Inc. [ctb, cph]
Yixuan Qiu and authors/contributors of the
included software. See file AUTHORS for details.
Yixuan Qiu and authors/contributors of the included fonts. See file
AUTHORS for details.
Liran Lerman <llerman@ulb.ac.be>, Gianluca Bontempi
<gbonte@ulb.ac.be>, Olivier Markowitch
<olivier.markowitch@ulb.ac.be>
Uwe Ligges [aut, cre] (new maintainer),
Tom Short [aut] (port to R),
Paul Kienzle [aut] (majority of the original sources),
Sarah Schnackenberg [ctb] (various test cases and bug fixes),
David Billinghurst [ctb],
Hans-Werner Borchers [ctb],
Andre Carezia [ctb],
Pascal Dupuis [ctb],
John W. Eaton [ctb],
E. Farhi [ctb],
Kai Habel [ctb],
Kurt Hornik [ctb],
Sebastian Krey [ctb],
Bill Lash [ctb],
Friedrich Leisch [ctb],
Olaf Mersmann [ctb],
Paulo Neis [ctb],
Jaakko Ruohio [ctb],
Julius O. Smith III [ctb],
Doug Stewart [ctb],
Andreas Weingessel [ctb]
Michal Burdukiewicz [cre, aut],
Piotr Sobczyk [aut]
Gerald Jurasinski <gerald.jurasinski@uni-rostock.de>, with
contributions from Vroni Retzer <vroni.retzer@gmx.de>
Oleg Sofrygin [aut, cre],
Mark J. van der Laan [aut],
Romain Neugebauer [aut]
Axel Gandy <a.gandy@imperial.ac.uk> with contributions from Patrick Rubin-Delanchy <patrick.rubin-delanchy@imperial.ac.uk> and Georg Hahn <g.hahn11@imperial.ac.uk>
Arsalane Chouaib Guidoum, Kamal Boukhetala
Wolfgang Lederer <Wolfgang.Lederer@gmail.com>, Helmut
Küchenhoff <Kuechenhoff@stat.uni-muenchen.de>
Juan Xiong <xiongjuan2000@gmail.com>, Wenqing He <whe@stats.uwo.ca>, Grace Y. Yi<yyi@uwaterloo.ca>
Syed Haider, Michal Grzadkowski, Paul C. Boutros
Julien Chiquet <julien.chiquet@genopole.cnrs.fr>, Gilles
Grasseau <gilles.grasseau@genopole.cnrs.fr>, Camille
Charbonnier <camille.charbonnier@genopole.cnrs.fr>, Christophe
Ambroise <christophe.ambroise@genopole.cnrs.fr>.
David Dernoncourt [aut, cre] (LUNAM Universite, Universite Angers,
Laboratoire d'ergonomie et d'epidemiologie en sante au travail
(LEEST), w/ support from the French National Research Program for
Environmental and Occupational Health of Anses (2012/18))
Peng Zhang, Zhengguo Qiu and Chengchun Shi
John P. Nolan, with parts based on code by Alan Genz
Bernhard Meindl, Matthias Templ, Andreas Alfons, Alexander Kowarik, and with contributions from Mathieu Ribatet
Olivier Lepais [aut, cre],
Jason Weir [aut]
Marius Hofert and Martin Maechler <maechler@stat.math.ethz.ch>
Sunthud Pornprasertmanit [aut, cre],
Patrick Miller [aut],
Alexander Schoemann [aut],
Corbin Quick [ctb],
Terry Jorgensen [ctb]
Ricardo Pio Monti, Christoforos Anagnostopoulos and Giovanni Montana
Jianqing Fan, Yang Feng,  Diego Franco Saldana, Richard Samworth,  Yichao Wu
A. Bouvier [aut], J.-P. Gauchi [aut, cre], E. Volatier [ctb]
Emilio L. Cano, Javier M. Moguerza and Andrés Redchuk
Seunggeun (Shawn) Lee, with contributions from Larisa Miropolsky and Michael Wu
Arend Voorman, Jennifer Brody, Thomas Lumley
Len Stefanski, Yichao Wu, and Kyle White
Jerry W. Lewis, Patrick E. Brown <patrick.brown@utoronto.ca>
David Scott <d.scott@auckland.ac.nz>, Fiona Grimson
Robert King, <Robert.King@newcastle.edu.au>, with contributions
from Emily Anderson <emily.anderson@newcastle.edu.au>.
Patchanok Srisuradetchai, John J. Borkowski
Kurt Hornik [aut, cre],
Ingo Feinerer [aut],
Martin Kober [aut]
W. Gregory Alvord [aut, cre],
Nick Carchedi [aut]
Bob Rudis (@hrbrmstr) & Jay Jacobs (@jayjacobs)
Kurt Hornik [aut, cre],
David Meyer [aut],
Christian Buchta [aut]
Antonio Solanas, Rumen Manolov, and Patrick Onghena
Robert King <Robert.King@newcastle.edu.au>, Paul van Staden <paul.vanstaden@up.ac.za>
Original by F.L. Ramsey and D.W. Schafer, modifications by
Daniel W. Schafer, Jeannie Sifneos and Berwin A. Turlach
Original by F.L. Ramsey and D.W. Schafer,
modifications by Daniel W. Schafer, Jeannie Sifneos and Berwin A. Turlach
Malgorzata Bogdan, Ewout van den Berg, Chiara Sabatti, Weijie Su,
Emmanuel Candes, Evan Patterson
Wesley Burr, with contributions from Karim Rahim
Adrian Bowman and Adelchi Azzalini.
Ported to R by B. D. Ripley <ripley@stats.ox.ac.uk> up to version 2.0,
version 2.1 by Adrian Bowman and Adelchi Azzalini,
version 2.2 by Adrian Bowman.
Patrick Mair [aut, cre], Jan De Leeuw [aut], Ingwer Borg [ctb], Patrick
J. F. Groenen [aut]
Jun Yan <jun.yan@uconn.edu> and
Vladimir Pozdnyakov <vladimir.pozdnyakov@uconn.edu>
David Warton <David.Warton@unsw.edu.au>, Remko Duursma, Daniel Falster and Sara Taskinen.
Prof. Juan David Velasquez H. Universidad Nacional de Colombia
Tobias Verbeke, based on datasets provided on the book's website
Chao Cai, Yubo Zou, Yingwei Peng, Jiajia Zhang
Yves Deville <deville.yves@alpestat.com> Yann Richet
<yann.richet@irsn.fr>. Fortran codes by William Thacker, Manjula Iyer
Jingwei Zhang, Laynet Watson, Jeffrey Birch, Manjula Iyer, Michael Berry
and Robert Renka. Fortran codes by Alain Hebert.
Murray Aitkin, Brian Francis, John Hinde, Ross Darnell
<ross.darnell@csiro.au>
Alexey Shipunov (with help of Eugenij Altshuler)
Aldo M. Garay <medina_garay@yahoo.com>, Monique Bettio Massuia <moniquemassuia@gmail.com> and Victor Lachos <hlachos@ime.unicamp.br>
Celia Touraine, Pierre Joly, Thomas A. Gerds
Artur Agostinho Araujo and Luis Meira-Machado
<lmachado@math.uminho.pt>
Kaspar Ru{f}{i}bach <kaspar.rufibach@gmail.com> and Samuel Mueller <samuel.mueller@sydney.edu.au>
Ben Deivide de Oliveira Batista, Daniel Furtado Ferreira
Jeffrey B. Arnold [aut, cre],
Alan Agresti [cph],
Barbara Finlay [cph]
Bo Wang, Aziz Mezlini, Feyyaz Demir, Marc Fiume, Zhuowen Tu, Michael Brudno, Benjamin Haibe-Kains, Anna Goldenberg
Luke Tierney, A. J. Rossini, Na Li, H. Sevcikova
Juan R González, Lluís Armengol, Elisabet Guinó, Xavier Solé, and Víctor Moreno
Mickael Canouil [aut, cre],
Loic Yengo [ctb]
Augustin Luna <augustin@mail.nih.gov>, Kristin K. Nicodemus
<kristin.nicodemus@well.ox.ac.uk>, <nicodemusk@mail.nih.gov>
Fortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew
Wiener.  Modifications of randomForest v 4.6-7 for SNPs by Greg Jenkins based on a
method developed by Stacey Winham, Greg Jenkins and Joanna Biernacka.
Alireza S. Mahani, Asad Hasan, Marshall Jiang, Mansour T.A. Sharabiani
Bill Venables, based on original code by David Brahm
Anton Grau Larsen, with contributions from Christoph Ellersgaard and
Stefan Andrade
Trevor Hastie <hastie@stanford.edu> and Rahul Mazumder <rahul.mazumder@gmail.com>
Anderson Rodrigo da Silva, Renato Paiva de Lima
Carlos A. Sierra <csierra@bgc-jena.mpg.de>, Markus Mueller
<mamueller@bgc-jena.mpg.de>
Andrew Sila, Tomislav Hengl and Thomas Terhoeven-Urselmans
Julien Moeys [aut, cre], Wei Shangguan [ctb], Rainer Petzold [ctb], Budiman Minasny [ctb], Bogdan Rosca [ctb], Nic Jelinski [ctb], Wiktor Zelazny [ctb],  Rodolfo Marcondes Silva Souza [ctb],  Jose Lucas Safanelli [ctb], Alexandre ten Caten [ctb]
Andrey Ziyatdinov [cre, aut],
Helena Brunel [aut],
Angel Martinez-Perez [aut],
Alfonso Buil [aut],
Alexandre Perera [cph],
Jose Manuel Soria [cph]
Jon Clayden; based on the work of Ivan Zelinka
Laura Bendhaiba [aut],
Julien Boelaert [aut],
Madalina Olteanu [aut],
Nathalie Villa-Vialaneix [aut, cre]
Olaf Mersmann <olafm@p-value.net> Bernd Bischl
<bischl@statistik.tu-dortmund.de>
Lee S. McDaniel, Jonathan S. Schildcrout
Leo Lahti, Juuso Parkkinen, Joona Lehtomaki, Juuso Haapanen, Jussi
Paananen, Einari Happonen
Spencer Graves, Sundar Dorai-Raj, and Romain Francois
Leo Lahti, Einari Happonen, Juuso Parkkinen, Joona Lehtomaki
Luis J. Villanueva-Rivera and Bryan C. Pijanowski
Alencar Xavier, William Muir, William Beavis, James Specht, Brian Diers, Katy Rainey.
Edzer Pebesma [aut, cre],
Roger Bivand [aut],
Barry Rowlingson [ctb],
Virgilio Gomez-Rubio [ctb],
Robert Hijmans [ctb],
Michael Sumner [ctb],
Don MacQueen [ctb],
Jim Lemon [ctb],
Josh O'Brien [ctb]
Balasubramanian Narasimhan [aut, cre],
Mei-Chiung Shih [aut], Pei He [aut]
Jie Peng <jie@wald.ucdavis.edu> , Pei Wang <pwang@fhcrc.org>,
Nengfeng Zhou <nfzhou@umich.edu>, Ji Zhu <jizhu@umich.edu>.
Arjun M. Gopalaswamy, Andrew J. Royle, Michael E. Meredith, Pallavi
Singh, Devcharan Jathanna, N. Samba Kumar and K. Ullas Karanth
Edzer Pebesma [cre, aut],
Benedikt Graeler [ctb],
Tom Gottfried [ctb],
Robert J. Hijmans [ctb]
Jonathan Eastman, Timothy Paine, and Olivier Hardy
Till Junge [aut, cre],
Sandra Penic [aut],
Mathieu Cossuta [aut],
Guy Elcheroth [aut],
Stephanie Glaeser [ctb],
Davide Morselli [ctb]
Reinhard Furrer [aut, cre], Florian Gerber [ctb]
François Rousset [aut, cre, cph],
Jean-Baptiste Ferdy [aut, cph]
Alexander Kowarik, Bernhard Meindl, Matthias Templ
Thomas Leeper [aut, cre], Andy Barbour [ctb]
Willem Robert van Hage <willem.van.hage@synerscope.com>, with contributions from: Tomi Kauppinen, Benedikt Graeler, Christopher Davis, Jesper Hoeksema, Alan Ruttenberg, and Daniel Bahls.
T.M. Davies, M.L. Hazelton and J.C. Marshall
Marc Ratkovic, In Song Kim, John Londregan, and Yuki Shiraito
R interface code by Michael Braun
Original Fortran code by Thomas F. Coleman, Burton S. Garbow and
Jorge J. More.
Line Clemmensen <lhc@imm.dtu.dk>, contributions by Max Kuhn
Roger Koenker <rkoenker@uiuc.edu> and Pin Ng <Pin.Ng@NAU.EDU>
Rahul Mazumder, Trevor Hastie, Jerome Friedman
Kieran Alden, Mark Read, Paul Andrews, Jon Timmis, Henrique Veiga-Fernandes, Mark Coles
Fabio Sigrist, Hans R. Kuensch, Werner A. Stahel
Brian Ripley [aut, cre, cph],
Roger Bivand [ctb],
William Venables [cph]
Jeffrey S. Evans [aut, cre],
Karthik Ram [ctb]
Cici Chen <cicichen@u.washington.edu>,
Albert Y. Kim <albert@stat.washington.edu>,
Michelle Ross <micher3@u.washington.edu>,
Jon Wakefield <jonno@u.washington.edu>
Mathieu Ribatet [aut, cre],
Richard Singleton [ctb],
R Core team [ctb]
Seija Sirkia, Jari Miettinen, Klaus Nordhausen, Hannu Oja, Sara Taskinen
Felipe Osorio <felipe.osorios@usm.cl> and Ronny Vallejos
<ronny.vallejos@usm.cl>, with contributions of Francisco Cuevas
and Diego Mancilla.
Timothee Giraud [cre, aut],
Hadrien Commenges [aut],
Joel Boulier [ctb]
Stefan Wilhelm <wilhelm@financial.com> and Miguel Godinho de Matos <miguelgodinhomatos@cmu.edu>
Johan Lindstrom, Adam Szpiro, Paul D. Sampson, Silas Bergen, Assaf P.
Oron
Benjamin M. Taylor and Barry S. Rowlingson
Haiming Zhou <zhouh@email.sc.edu> and Tim Hanson <hansont@stat.sc.edu>
Axel Gandy <a.gandy@imperial.ac.uk> and Jan Terje Kvaloy <jan.t.kvaloy@uis.no>.
Dennis Walvoort [aut, cre, cph], Dick Brus [aut, cph], Jaap de
Gruijter [aut, cph]
Roger Bivand [cre, aut],
Micah Altman [ctb],
Luc Anselin [ctb],
Renato Assunção [ctb],
Olaf Berke [ctb],
Andrew Bernat [ctb],
Guillaume Blanchet [ctb],
Eric Blankmeyer [ctb],
Marilia Carvalho [ctb],
Bjarke Christensen [ctb],
Yongwan Chun [ctb],
Carsten Dormann [ctb],
Stéphane Dray [ctb],
Virgilio Gómez-Rubio [ctb],
Rein Halbersma [ctb],
Elias Krainski [ctb],
Pierre Legendre [ctb],
Nicholas Lewin-Koh [ctb],
Hongfei Li [ctb],
Jielai Ma [ctb],
Giovanni Millo [ctb],
Werner Mueller [ctb],
Hisaji Ono [ctb],
Pedro Peres-Neto [ctb],
Gianfranco Piras [ctb],
Markus Reder [ctb],
Michael Tiefelsdorf [ctb],
Danlin Yu [ctb]
Andreas Beger [aut, cre],
Daina Chiba [aut],
Daniel Hill [aut],
Nils Metternich [aut],
Shahryar Minhas [aut],
Michael Ward [cph]
Javier Martinez-Lopez <javi.martinez.lopez@gmail.com>, Babak Naimi
<naimi.b@gmail.com>, Julia Martinez-Fernandez <juliamf@um.es>
Trung Nghia Vu, Kris Laukens and Dirk Valkenborg
Piers K Dunstan, Scott D Foster and Ross Darnell
Marco Enea, with contributions by Ronen Meiri and Tomer Kalimi on behalf of DMWay Analytics LTD.
Michal Juraska <mjuraska@u.washington.edu>, with contributions
from Peter B. Gilbert <pgilbert@scharp.org>, Xiaomin Lu
<xlu2@phhp.ufl.edu>, Min Zhang <mzhangst@umich.edu>, Marie
Davidian <davidian@stat.ncsu.edu>, and Anastasios A. Tsiatis
<tsiatis@stat.ncsu.edu>
Santiago Beguería [aut, cre],
Sergio M. Vicente-Serrano [aut]
Maximilian Lange, Sven Lautenbach, Claudia Raedig
Andrew Hart [aut, cre], Servet Martínez [aut], Universidad de Chile [cph], INRIA-Chile [cph]
Roger Bivand [cre, aut],
Danlin Yu [aut],
Tomoki Nakaya [ctb],
Miquel-Angel Garcia-Lopez [ctb]
Hee-Seok Oh <heeseok.oh@gmail.com>, Donghoh Kim
<donghoh.kim@gmail.com>
Francesca Demichelis <demichelis@science.unitn.it>, Davide
Prandi <prandi@science.unitn.it>
Samuel Brown, Rupert Collins, Stephane Boyer, Marie-Caroline Lefort, Jagoba Malumbres-Olarte, Cor Vink, Rob Cruickshank
Roger Bivand [cre],
Barry Rowlingson [aut],
Peter Diggle [aut],
Giovanni Petris [ctb],
Stephen Eglen [ctb]
Giovanni Millo [aut, cre],
Gianfranco Piras [aut]
Dongjun Chung <chungdon@stat.wisc.edu>, Hyonho Chun
<chun@stat.wisc.edu>, Sunduz Keles <keles@stat.wisc.edu>
William Constantine, Tim Hesterberg, Knut Wittkowski, Tingting
Song, Stephen Kaluzny
Moliere Nguile-Makao <moliere.nguile@gmail.com> and Alexandre Bureau <alexandre.bureau@msp.ulaval.ca>
Emmanuel Rousseaux, Marion Deville, Gilbert Ritschard
Scott Chamberlain [aut, cre],
Karthik Ram [aut],
Ted Hart [aut]
Jean Gaudart, Nathalie Graffeo, Guillaume Barbet, Bernard Fichet, Roch Giorgi (Aix-Marseille University)
Zhong Guan <zguan@iusb.edu>; Cheng Peng <cpeng@usm.maine.edu>
Manuel J. A. Eugster <manuel.eugster@stat.uni-muenchen.de>
Thomas Bartz-Beielstein [aut],
Martin Zaefferer [cre, ctb],
Joerg Ziegenhirt [ctb],
Wolfgang Konen [ctb],
Oliver Flasch [ctb],
Patrick Koch [ctb],
Martina Friese [ctb]
University of Edinburgh SPRINT Team <sprint@ed.ac.uk>
Sven Serneels, BASF Corp and Irene Hoffmann
Alessandro Samuel-Rosa [aut, cre],
Lucia Helena Cunha dos Anjos [ths],
Gustavo de Mattos Vasques [ths],
Gerard B M Heuvelink [ths],
Edzer Pebesma [ctb],
Jon Skoien [ctb],
Joshua French [ctb],
Pierre Roudier [ctb],
Dick Brus [ctb],
Murray Lark [ctb]
Tom Kincaid [aut, cre],
Tony Olsen [aut],
Don Stevens [ctb],
Christian Platt [ctb],
Denis White [ctb],
Richard Remington [ctb]
K. Shuvo Bakar, Philip Kokic, Huidong Jin
Matthew E. Aiello-Lammens, Robert A. Boria, Aleksandar Radosavljevic,
Bruno Vilela, and Robert P. Anderson
Owen Jones, Robert Maillardet, Andrew Robinson, Olga Borovkova, and Steven Carnie
Frederick Kin Hing Phoa and Shu-Ching Lin
Sean Anderson [aut, cre],
Cole Monnahan [aut],
Kelli Johnson [aut],
Kotaro Ono [aut],
Juan Valero [aut],
Curry Cunningham [aut],
Felipe Hurtado-Ferro [aut],
Roberto Licandeo [aut],
Carey McGilliard [aut],
Melissa Muradian [ctb],
Cody Szuwalski [aut],
Katyana Vert-pre [aut],
Athol Whitten [aut]
Alexander Duerre [aut, cre],
Daniel Vogel [aut]
Charles Auerbach [aut, cre],
Wendy Zeitlin [aut]
Ran Bi <biran@iastate.edu>, Peng Liu <pliu@iastate.edu>
Mikhail Zhelonkin, Marc G. Genton, Elvezio Ronchetti
Mark S. Handcock [aut, cre, cph],
Krista J. Gile [aut, cph]
Luis Hernando Vanegas <hvanegasp@gmail.com> and Gilberto A. Paula
Rainer Opgen-Rhein, Verena Zuber, and Korbinian Strimmer.
Diethelm Wuertz, Martin Maechler and Rmetrics core team members.
Benjamin Hofner [aut, cre],
Torsten Hothorn [aut]
Mike Malecki <Mike.Malecki at yougov.com>
Neal Fultz <nfultz@gmail.com> and the StackOverflow.com community
Ben Goodrich [cre, aut],
Joshua Pritikin [ctb],
Andrew Gelman [aut],
Bob Carpenter [aut],
Matt Hoffman [aut],
Daniel Lee [aut],
Michael Betancourt [aut],
Marcus Brubaker [aut],
Jiqiang Guo [aut],
Peter Li [aut],
Allen Riddell [aut],
Marco Inacio [aut],
Mitzi Morris [aut],
Jeffrey Arnold [aut],
Rob Goedman [aut],
Brian Lau [aut],
Rob Trangucci [aut],
Jonah Gabry [aut],
Alp Kucukelbir [aut],
Robert Grant [aut],
Dustin Tran [aut],
Michael Malecki [aut],
Yuanjun Gao [aut]
Sacha Epskamp <mail@sachaepskamp.com> & Michele B. Nuijten
<m.b.nuijten@uvt.nl>
David Meyer [aut, cre],
Torsten Hothorn [aut],
Friedrich Leisch [aut]
Leo Lahti, Juuso Parkkinen, Joona Lehtomaki
Gordon Smyth [cre, aut], Yifang Hu [ctb], Peter Dunn [ctb], Belinda Phipson [ctb], Yunshun Chen [ctb]
Mark S. Handcock [aut],
David R. Hunter [aut],
Carter T. Butts [aut],
Steven M. Goodreau [aut],
Pavel N. Krivitsky [aut],
Skye Bender-deMoll [aut],
Martina Morris [aut, cre]
Emily Beylerian [cre, aut],
Kirk Li [ctb],
Samuel Jenness [ctb],
Martina Morris [ctb]
Zahra Montazeri, Alaa Ali, Kyle Leckett, Marta Padilla and David R. Bickel
David Leiva <dleivaur@ub.edu> & Han de Vries
<J.deVries1@uu.nl>.
Matteo Dell'Omodarme [aut, cre], Giada Valle [aut]
Wai-ki Yip, with contributions from
Ann Lazar, David Zahrieh, Chip Cole, Ann Lazar, Marco Bonetti,
Victoria Wang, William Barcella and Richard Gelber
Timo Aspelmeier [cre, aut],
Thomas Hotz [aut],
Hannes Sieling [aut],
Pein Florian [ctb]
Jinko Graham <jgraham@stat.sfu.ca>, Brad McNeney
<mcneney@sfu.ca>, Francoise Seillier-Moiseiwitsch
<seillier@math.umbc.edu>, R interface by Sigal Blay
<sblay@sfu.ca>
Roman Olson, Won Chang, Klaus Keller, and Murali Haran
Elise Dusseldorp [aut, cre, cph],
Claudio Conversano [aut, cph],
Cor Ninaber [ctb],
Kristof Meers [ctb],
Peter Neufeglise [trl]
Tomas Johannesson & Halldor Bjornsson, Icelandic Met. Office;
Gabor Grothendieck
Margaret E. Roberts, Brandon M. Stewart and Dustin Tingley
Michael K. Freeman, Jason Chuang, Margaret E. Roberts, Brandon M. Stewart and Dustin Tingley
Antonio Coppola, Margaret Roberts, Brandon Stewart, Dustin Tingley
William Martinez, Carlos Melo <cmelo@udistrital.edu.co>
Andres Villegas <andresmauriciovillegas@gmail.com>,
Pietro Millossovich <Pietro.Millossovich.1@city.ac.uk>,
Vladimir Kaishev <Vladimir.Kaishev.1@city.ac.uk>
Edith Gabriel, Peter J Diggle, stan function by Barry Rowlingson
Soubeyrand, S., Tollenaere, C., Haon-Lasportes, E. and Laine, A.-L.
Mark A. Bell <mark.bell521@gmail.com> Graeme T. Lloyd <graemetlloyd@gmail.com>.
Sophie Baillargeon and Louis-Paul Rivest
Michael Hahsler [aut, cre, cph],
Matthew Bolanos [aut, cph],
John Forrest [aut, cph]
Gustavo Carvalho, Marco Batalha, and Owen Petchey.
Mark van der Loo [aut, cre],
Jan van der Laan [ctb],
R Core Team [ctb],
Nick Logan [ctb]
Marek Gagolewski and Bartek Tartanus (stringi source code);
IBM and other contributors (ICU4C 55.1 source code);
Unicode, Inc. (Unicode Character Database)
Hadley Wickham [aut, cre, cph],
RStudio [cph]
Achim Zeileis [aut, cre],
Friedrich Leisch [aut],
Kurt Hornik [aut],
Christian Kleiber [aut],
Bruce Hansen [ctb],
Edgar C. Merkle [ctb]
Nathan Morris [aut, cre],
Yeunjoo Song [aut],
Stephen Cahn [ctb]
Maciej Eder, Jan Rybicki, Mike Kestemont
Mary C Meyer, Jeffrey G Snodgrass, Michael Lacy
Fengfeng Zhou, Youxi Luo, Qinghan Meng, Ruiquan Ge, Guoqin Mai, Jikui Liu
Jorge Orestes Cerdeira [aut], Pedro Duarte Silva [aut], Jorge Cadima [aut, cre], Manuel Minhoto [aut]
Erin LeDell, Stephanie Sapp, Mark van der Laan
Andrey Alexeyenko, Woojoo Lee and Yudi Pawitan
David Brahm <brahm@alum.mit.edu> and Greg Snow
<Greg.Snow@intermountainmail.org>, with contributions from Curt
Seeliger <Seeliger.Curt@epamail.epa.gov> and Henrik Bengtsson
<hb@maths.lth.se>.
Filippo Botta, Casper Eriksen, Gilles Guillot
Marcel Dettling <marcel.dettling@zhaw.ch> and Martin Maechler
Tsung-han Tsai <t.tsai@wustl.edu>, Jeff Gill <jgill@wustl.edu>
and Jonathan Rapkin <rapkin@wustl.edu>
Yingye Zheng, Tianxi Cai, and Marshall Brown
Sergej Potapov, Werner Adler and Matthias Schmid.
Meinhard Ploner, Alexandra Kaider and Georg Heinze
Michael Höhle [aut, cre, ths], Sebastian Meyer [aut],
Michaela Paul [aut], Leonhard Held [ctb, ths],
Thais Correa [ctb], Mathias Hofmann [ctb], Christian Lang [ctb],
Juliane Manitz [ctb], Andrea Riebler [ctb], Daniel Sabanés Bové [ctb],
Maëlle Salmon [ctb], Dirk Schumacher [ctb], Stefan Steiner [ctb],
Mikko Virtanen [ctb], Valentin Wimmer [ctb], R Core Team [ctb]
(A few code segments are modified versions of code from base R)
Terry M Therneau [aut, cre],
Thomas Lumley [ctb, trl] (original S->R port and maintainer until 2009)
Dominique-Laurent Couturier, Jun Ma, Stephane Heritier.
Hongyuan Cao, Mathew M. Churpek, Donglin Zeng, Jason P. Fine, and Shannon T. Holloway
Ignacio Lopez de Ullibarri and Maria Amalia Jacome
Juan R González, Edsel A Peña, and Robert L Strawderman
Hajime Uno, Lu Tian, Angel Cronin, Chakib Battioui
David Moriña (Centre for Research in Environmental Epidemiology, CREAL) and Albert Navarro (Universitat Autònoma de Barcelona)
Kouros Owzar, Zhiguo Li, Nancy Cox, Sin-Ho Jung and Chanhee Yi
Sutirtha Chakraborty, Somnath Datta and Susmita Datta
Susanne Heim, with support from Paul Eilers, Thomas Kneib, and
Michael Kobl
Anders Riutta et. al. [aut, cph] (svg-pan-zoom.js BSD-licensed library
in htmlwidgets/lib, https://github.com/ariutta/svg-pan-zoom),
Kent Russell [aut, cre] (R interface to svg-pan-zoom.js)
Philippe Grosjean [aut, cre],
Romain Francois [ctb],
Kamil Barton [ctb]
Hoksan Yip, Patrick J.F. Groenen, Georgi Nalbantov
Philippe Grosjean [aut, cre],
Matthew Dowle [ctb]
Philippe Grosjean [aut, cre],
Romain Francois [aut]
Manuel Reif <Manuel.Reif@statistik.gv.at>, Jakob Peterbauer <Jakob.Peterbauer@statistik.gv.at>
Tong He <hetong007@gmail.com>, Aydin Demircioglu <aydin.demircioglu@ini.ruhr-uni-bochum.de>
Fuka, DR, Walter, MT, Steenhuis, TS, and Easton, ZM
Nick Carchedi [aut, cre],
Bill Bauer [aut],
Gina Grdina [aut],
Sean Kross [aut]
Camila de Souza <camila@stat.ubc.ca> and Davor Cubranic <cubranic@stat.ubc.ca>
C. Jonathan Fritzemeier [cre, ctb],
Gabriel Gelius-Dietrich [aut],
Rajen Piernikarczyk [ctb],
Marc Andre Daxer [ctb],
Benjamin Braasch [ctb],
Abdelmoneim Desouki [ctb],
Martin J. Lercher [ctb]
C. Jonathan Fritzemeier [cre, ctb],
Gabriel Gelius-Dietrich [aut, ctb],
Deya Alzoubi [ctb]
Andrzej Dudek, Marcin Pelka <marcin.pelka@ue.wroc.pl>, Justyna Wilk<justyna.wilk@ue.wroc.pl>
Valentin Wimmer, Hans-Juergen Auinger, Theresa Albrecht, Chris-Carolin Schoen with contributions by Larry Schaeffer, Malena Erbe, Ulrike Ober, Christian Reimer, Yvonne Badke and Peter VandeHaar
Valentin Wimmer, Theresa Albrecht, Hans-Juergen Auinger, Chris-Carolin Schoen with contributions by  Malena Erbe, Ulrike Ober and Christian Reimer
Matlab original by Eugene Brevdo; R port by Dongik Jang, Hee-Seok Oh and Donghoh Kim
Luciano Garofano, Stefano Maria Pagnotta, Michele Ceccarelli
Jens Hainmueller <jhain@stanford.edu> and Alexis Diamond <adiamond@fas.harvard.edu>
Beata Nowok, Gillian M Raab, Joshua Snoke and Chris Dibben
Yixuan Qiu and authors/contributors of the
included fonts. See file AUTHORS for details.
Isabella Gollini [aut, cre],
Jonathan Rougier [ctb]
Thomas Kiefer [aut], Alexander Robitzsch [aut, cre], Margaret Wu [aut]
Baiyu Zhou <zhouby98@stanford.edu> and Weihong Xu
<weihongx@stanford.edu>
Edgar Kublin [aut],
Johannes Breidenbach [ctb, cre]
Francesco Calvori, Fabrizio Cipollini, Giampiero M. Gallo and 'gzstream' authors.
Christian Buchta [aut],
Kurt Hornik [aut, cre],
Ingo Feinerer [aut],
David Meyer [aut]
Jake Anderson, Jonathan Lees; largely translated from the TTBOX
Matlab toolbox by Martin Knapmeyer
(http://www.dr-knapmeyer.de/downloads/)
Scott Chamberlain [aut, cre],
Eduard Szoecs [aut],
Zachary Foster [aut],
Carl Boettiger [aut],
Karthik Ram [aut],
Ignasi Bartomeus [aut],
John Baumgartner [aut]
Adriano Polpo <polpo@ufscar.br>, Cassio de Campos <cassiopc@acm.org>, D. Sinha <sinhad@stat.fsu.edu>, Stuart Lipsitz <slipsitz@partners.org>, Jianchang Lin <jlin@stat.fsu.edu>
Ying-Wooi Wan, Genevera I. Allen, Matthew L. Anderson, Zhandong Liu
Agustin Mayo Iscar, Luis Angel Garcia Escudero, Heinrich Fritz
Brittany T. Fasy, Jisu Kim, Fabrizio Lecci, Clement Maria
Paul Pearson [aut, cre, trl],
Daniel Muellner [aut, ctb],
Gurjeet Singh [aut, ctb]
Yi Yang <yiyang@umn.edu>, Wei Qian <weiqian@stat.umn.edu>, Hui Zou <hzou@stat.umn.edu>
Wolfgang Konen <wolfgang.konen@fh-koeln.de>, Patrick Koch
<patrick.koch@fh-koeln.de>
Hugo Andres Gutierrez Rojas <hugogutierrez@usantotomas.edu.co>
Yanfei Kang, Danijel Belusic and Kate Smith-Miles
K. Gerald van den Boogaart <boogaart@uni-greifswald.de>
Pavel N. Krivitsky [aut, cre],
Mark S. Handcock [aut, ths],
David R. Hunter [ctb],
Steven M. Goodreau [ctb, ths],
Martina Morris [ctb, ths],
Nicole Bohme Carnegie [ctb],
Carter T. Butts [ctb],
Ayn Leslie-Cook [ctb],
Skye Bender-deMoll [ctb],
Li Wang [ctb],
Kirk Li [ctb]
Derek Beaton, Jenny Rieck, Cherise R. Chin Fatt, Herve Abdi
Kurt Hornik [aut, cre],
Johannes Rauch [aut],
Christian Buchta [aut],
Ingo Feinerer [aut]
Sylvain Loiseau, Lise Vaudor, Matthieu Decorde, Serge Heiden
Tom Shott [aut, cre],
Dong-Joon Lim [aut]
Jorge More [ctb], Burton Garbow [ctb], Kenneth Hillstrom [ctb], John Burkardt [ctb], Jun Peng [aut, cre]
Maria Antonietta Del Ferraro, Henk A.L. Kiers, Paolo Giordani
Sara Perez-Jaume, Natalia Pallares, Konstantina Skaltsa
Rebekah Robinson <rrobinson20@humana.com> and Homer
White <hwhite0@georgetowncollege.edu>
George C. Tseng <ctseng@pitt.edu>, Wing H. Wong
<whwong@stanford.edu>
Charlie Sharpsteen [aut],
Cameron Bracken [aut],
Kirill Müller [ctb, cre],
Yihui Xie [ctb]
Rmetrics Core Team,
Diethelm Wuertz [aut],
Tobias Setz [cre],
Yohan Chalabi [ctb],
Martin Maechler [ctb],
Joe W. Byers [ctb]
Hyungsuk Tak, Kaisey Mandel, David A. van Dyk, Vinay L. Kashyap, Xiao-Li Meng, and Aneta Siemiginowska
Gianluca Campanella [aut, cre],
Marc Chadeau-Hyam [aut],
Maria De Iorio [ctb],
Ajay Jasra [ctb]
Thomas Scheike with contributions from Torben Martinussen, Jeremy Silver
and Klaus Holst
"Matthias Bannert <bannert@kof.ethz.ch> [aut, cre]"
Liye He, Krister Wennerberg, Tero Aittokallio and Jing Tang
Katharine M. Mullen, Joris J. Snellenburg, Sergey P. Laptenok, David Nicolaides, Ivo H.M. van Stokkum
Josef Leydold, Carsten Botts and Wolfgang H\"ormann
Stefano Costa [aut, cre],
Luca Bianconi [aut],
Elisabetta Starnini [ctb]
P. Neytchev, P. Filzmoser, R. Patnaik, A. Eisl and R. Boubela
Larissa Matos <larissa.amatos@gmail.com>, Marcos Prates
<marcosop@ime.unicamp.br> and Victor Lachos
<hlachos@ime.unicamp.br>
S-PLUS original by Phil Everson; R port by Roger D. Peng
<rpeng@jhsph.edu>
Ingo Feinerer [aut, cre],
Kurt Hornik [aut],
Artifex Software, Inc. [ctb, cph] (pdf_info.ps taken from GPL
Ghostscript)
Susan Gruber, in collaboration with Mark van der Laan
Milan Bouchet-Valat [aut, cre],
Grigorij Ljubownikow [ctb]
Ingo Feinerer [aut, cre],
Wolfgang Mauerer [aut]
Stefan Wilhelm <wilhelm@financial.com> with contributions from Manjunath B G <bgmanjunath@gmail.com>
Robert G. Pontius <rpontius@clarku.edu>, Alí Santacruz, Amin Tayyebi, Benoit Parmentier, Kangping Si
Damian W. Betebenner [aut, cre],
Andrew Martin [ctb],
Jeff Erickson [ctb]
Bettina Grün [aut, cre],
Kurt Hornik [aut]
Michael G. SchimekEva Budinska, Jie Ding, Karl G. Kugler, Vendula Svendova, Shili Lin
Dianne Cook <dicook@iastate.edu>, Hadley Wickham
<h.wickham@gmail.com>
Bei <beihuang@iastate.edu>, Dianne Cook <dicook@iastate.edu>,
Hadley Wickham <h.wickham@gmail.com>
Albert D. Shieh, Tatsunori B. Hashimoto, and Edoardo M. Airoldi
Artur Araujo, Javier Roca-Pardinas <roca@uvigo.es>
and Luis Meira-Machado <lmachado@math.uminho.pt>
Scott Chamberlain [aut, cre],
Zachary Foster [aut],
Ignasi Bartomeus [aut],
David LeBauer [aut]
Chaitanya Joshi, Xin Li, Daniel Laughlin
Edzer Pebesma [cre, aut],
Benedikt Klus [aut],
Benedikt Graeler [ctb],
Nikolai Gorte [ctb]
Alexis Gabadinho [aut, cph],
Matthias Studer [aut, cph],
Nicolas Muller [aut],
Reto Buergin [aut],
Gilbert Ritschard [aut, cre, cph]
Gilbert Ritschard [aut, cre, ths, cph],
Matthias Studer [aut],
Reto Buergin [aut],
Alexis Gabadinho [ctb],
Nicolas Muller [ctb],
Patrick Rousset [ctb]
Andreas Wygrabek [aut, cre],
Bastian Wiessner [aut],
eoda GmbH [cph]
Chel Hee Lee [aut, cre],
Edward Kang [ctb],
Sunyoung Kim [ctb],
Heather Kim [ctb]
Dominic Schuhmacher <dominic.schuhmacher@mathematik.uni-goettingen.de> with substantial contributions of code by Bjoern Baehre and Carsten Gottschlich
Nicole Bohme Carnegie [aut, cre],
Masataka Harada [aut],
Vincent Dorie [aut],
Jennifer Hill [ctb]
Carl Boettiger [aut, cre],
Duncan Temple Lang [aut]
Christian Zang [aut, cre, cph, trl],
Franco Biondi [ctb, cph]
Ludger Evers <ludger.evers@glasgow.ac.uk> and Tim Heaton
<t.heaton@sheffield.ac.uk>
Ed Zhang ; Vicky Qian Wu ; Shein-Chung Chow ; Harry G.Zhang
(Quality check) <ed.zhang.jr@gmail.com>
Yael Grushka-Cockayne, Victor Richmond R. Jose, Kenneth C. Lichtendahl Jr. and Huanghui Zeng, based on the source code from the randomForest package by Andy Liaw and Matthew Wiener and on the original Fortran code by Leo Breiman and Adele Cutler.
Ji-Hyung Shin <shin@sfu.ca>, Brad McNeney <mcneney@sfu.ca>,
Jinko Graham <jgraham@sfu.ca>
Michael D. Sumner [aut, cre],
Sebastian Luque [ctb]
Fortran code by R. J. Renka.
R functions by Albrecht Gebhardt <albrecht.gebhardt@uni-klu.ac.at>.
With contributions from Stephen Eglen <stephen@anc.ed.ac.uk>,
Sergei Zuyev <sergei@stams.strath.ac.uk> and
Denis White <white.denis@epamail.epa.gov>
Michael D. Sumner [aut, cre],
Simon Wotherspoon [ctb]
F. D. Schönbrodt, M. D. Back, S. C. Schmukle
Jingyi Jessica Li <jli@stat.ucla.edu>, Wei Vivian Li <liw@ucla.edu>
Frederick Novomestky <fnovomes@poly.edu>, Saralees Nadarajah
<saralees.nadarajah@manchester.ac.uk>
Heike Trautmann <trautmann@statistik.uni-dortmund.de>
and Detlef Steuer <detlef.steuer@hsu-hamburg.de>
and Olaf Mersmann <olafm@statistik.uni-dortmund.de>
and Björn Bornkamp <bornkamp@statistik.tu-dortmund.de>
Yves Croissant [aut, cre],
Achim Zeileis [aut]
Anita Lindmark and Maria Karlsson, Department of Statistics, Umea University
Cosma Shalizi [aut] (original R code), Christophe Dutang [cre] (R code packaging)
Tobias Liboschik [aut, cre],
Roland Fried [aut],
Konstantinos Fokianos [aut],
Philipp Probst [aut],
Jonathan Rathjens [ctb]
Usue Mori, Alexander Mendiburu, J.A. Lozano
Antonio Fabio Di Narzo [aut],
Jose Luis Aznarte [ctb],
Matthieu Stigler [aut, cre]
Adrian Trapletti [aut],
Kurt Hornik [aut, cre],
Blake LeBaron [ctb] (BDS test code)
Paul Gilbert and Erik Meijer <pgilbert.ttv9z@ncf.ca>
Jun Sheng, Peihua Qiu <qiu@stat.umn.edu>, and Charles J. Geyer
<charlie@stat.umn.edu>
Roger D. Peng <rpeng@jhsph.edu>, with contributions from Aidan
McDermott
Michael Hahsler [aut, cre, cph],
Kurt Hornik [aut, cph]
Bernd Bischl <bernd_bischl@gmx.net>,
Jakob Bossek <jakob.bossek@tu-dortmund.de>,
Olaf Mersmann <olafm@p-value.net>
Rebecca Pontes Salles [aut, cre, cph] (CEFET/RJ),
Eduardo Ogasawara [ths] (CEFET/RJ)
David DEVREKER [aut],
Alain LEFEBVRE [aut, cre]
Ian H. Hutchinson [aut] (author of tth/ttm C sources),
Friedrich Leisch [aut, cre] (author of R wrappers to tth/ttm),
Achim Zeileis [aut] (author of R wrappers to tth/ttm)
Hsiu J. Ho, Tsung-I Lin, Wan-Lun Wang, Aldo M. Garay, Victor H. Lachos, and Mauricio Castro
José Cláudio Faria <joseclaudio.faria@gmail.com>
Enio G. Jelihovschi <eniojelihovs@gmail.com>
Ivan Bezerra Allaman <ivanalaman@gmail.com>
Christoph Müssel, Ludwig Lausser, Hans Kestler
Uwe Ligges <ligges@statistik.tu-dortmund.de> with contributions
from Sebastian Krey, Olaf Mersmann, Sarah Schnackenberg, Guillaume Guenard,
Andrea Preusser, Anita Thieler, and Claus Weihs, as well as code fragments
and ideas from the former package 'sound' by Matthias Heymann
and functions from 'rastamat' by Daniel P. W. Ellis.
The included parts of the libmad MPEG audio decoder library are
authored by Underbit Technologies.
Jennifer F. Bobb [aut], Ravi Varadhan [aut, cre], Hui Zhao [ctb]
Anna Cena [aut],
Marek Gagolewski [aut],
Marcin Kosinski [aut],
Natalia Potocka [aut],
Barbara Zogala-Siudem [aut, cre]
Alberto Viglione [aut, cre],
Juraj Parajka [aut]
Greg Ridgeway, Dan McCaffrey, Andrew Morral, Beth Ann, Lane Burgette
<burgette@rand.org>
Bruno Remillard and Jean-Francois Plante
Shawn Mankad, George Michailidis, Moulinath Banerjee
Radu V. Craiu, Thierry Duchesne, Daniel Fortin and Sophie Baillargeon
Benjamin Esterni with contribution from Baboukar Mane
Hans Bruun Nielsen and Stig Bousgaard Mortensen
Charles J. Geyer <charlie@stat.umn.edu> and
Glen D. Meeden <glen@stat.umn.edu>
Andrea Dal Pozzolo, Olivier Caelen and Gianluca Bontempi
Thomas Leeper [aut, cre],
Micah Altman [aut]
Markus Baaske [aut, cre], Felix Ballani [ctb]
Jamie Lentin [aut, cre],
Anthony Hennessey [aut]
Ian Fiske, Richard Chandler, David Miller, Andy Royle, Marc Kery, Jeff Hostetler
Niamh Russell, Laura Cribbin, Thomas Brendan Murphy
Jake Conway [cre],
Nils Gehlenborg [aut]
Bernhard Pfaff [aut, cre], Matthieu Stigler [ctb]
Oliver Keyes [aut, cre], Jay Jacobs [aut, cre], Mark Greenaway [ctb]
Lincoln Mullen [aut, cre],
Dr. William M. Scholl Center for American History and Culture, The
Newberry Library [cph]
Paula M. Murray, Ryan P. Browne, and Paul D. McNicholas
Neil J. Gunther [aut],
Stefan Moeding [aut, cre]
Peter Reichert <peter.reichert@eawag.ch>
with contributions by Nele Schuwirth <nele.schuwirth@eawag.ch>
Simon Urbanek <Simon.Urbanek@r-project.org> (R package), Theodore Ts'o <tytso@thunk.org> (libuuid)
Justin Lessler <jlessler@jhsph.edu>, Jessica Metcalf
<cmetcalf@@princeton.edu>
Juris Breidaks [aut, cre], Martins Liberts [aut], Santa Ivanova [aut]
Saralees Nadarajah, Stephen Chan and Emmanuel Afuecheta
Joshua F. Wiley [aut, cre],
Elkhart Group Limited [cph]
David Scott <d.scott@auckland.ac.nz> and Christine Yang Dong
<c.dong@auckland.ac.nz>
Bernhard Pfaff [aut, cre],
Matthieu Stigler [ctb]
Joris Muller [aut, cre],
Erik-André Sauleau [ctb]
David Meyer [aut, cre],
Achim Zeileis [aut],
Kurt Hornik [aut],
Florian Gerber [ctb],
Michael Friendly [ctb]
Michael Friendly [aut, cre], Heather Turner [ctb], Achim Zeileis [ctb], Duncan Murdoch [ctb], David Firth [ctb]
Reto Buergin [aut, cre, cph],
Gilbert Ritschard [ctb, ths]
Edward Grant, Xia Li,  Kenneth Lange, Tong Tong Wu
John Lawson <lawson@byu.edu>, with contributions from G. Vining
Ruiz-Cuetos J.C., Felicisimo A.M., Cuartero A., Polo M.E., Rodriguez P.G.
Angel Felicisimo, Juan Carlos Ruiz Cuetos, Maria Eugenia Polo Garcia, Aurora Cuartero,
Pablo Garcia Rodriguez
Jari Oksanen, F. Guillaume Blanchet, Roeland Kindt, Pierre Legendre,
Peter R. Minchin, R. B. O'Hara, Gavin L. Simpson, Peter Solymos,
M. Henry H. Stevens, Helene Wagner
Jari Oksanen [aut, cre],
Roeland Kindt [aut],
Gavin L. Simpson [aut]
Andrew Sajo-Castelli [aut, cre], Desiree Villalta [ctb], Lelys Bravo [ctb]
Silvia Espinosa, Joaquin Ordieres, Antonio Bello, Jose Maria Perez
Xiaoping Shi, Xiangsheng Wang, Dongwei Wei, Yuehua Wu
Matthias Templ, Andreas Alfons, Alexander Kowarik, Bernd Prantner
Daniel Schopfhauser, Matthias Templ, Andreas Alfons, Alexander Kowarik,
Bernd Prantner
Ulf Schepsmeier, Jakob Stoeber, Eike Christian Brechmann, Benedikt Graeler, Thomas Nagler, Tobias Erhardt
Boris Leroy, Christine N. Meynard, Celine Bellard and Franck Courchamp
Almende B.V. [aut, cph] (vis.js library in htmlwidgets/lib,
http://visjs.org, http://www.almende.com/home),
Benoit Thieurmel [aut, cre] (R interface)
Gregor Passolt, James J. Anderson, Ting Li, David H. Salinger, David J. Sharrow
Drew Griffin Levy [aut],
David C. Norris [aut, cre]
Taryn B. T. Athey and Paul D. McNicholas
Lorenzo D'Andrea, Tommaso Russo, Antonio Parisi, Stefano Cataudella
Seung Won Hyun, Weng Kee Wong, and Yarong Yang
Philip Reiss, Yin-Hsiu Chen, Lei Huang, Lan Huo, Ruixin Tan, and Rong Jiao
Bastien Lecigne, Sylvain Delagrange and Christian Messier
Robin Genuer [aut, cre],
Jean-Michel Poggi [aut],
Christine Tuleau-Malot [aut]
Ross G. Dwyer, Mathew E. Watts, Hamish A. Campbell & Craig E. Franklin
Josue Moises Polanco-Martinez (a.k.a. jomopo)
Marcelo Araya-Salas, Grace Smith Vidaurre, Hua Zhong
Will Beasley [aut, cre], Joe Rodgers [aut], Matthew Schuelke [ctb],
Ronnie Coleman [ctb], Mark Joseph Lachowicz [ctb]
Marc Raimondo <marcr@maths.usyd.edu.au> and Michael Stewart
<michael.stewart@sydney.edu.au>
Marie-Pierre Sylvestre <marie-pierre.sylvestre@umontreal.ca>, Marie-Eve Beauchamp <marie-eve.beauchamp@clinepi.mcgill.ca>, Ryan Patrick Kyle <ryan.kyle@mail.mcgill.ca>, Michal Abrahamowicz <michal.abrahamowicz@mcgill.ca>
A. K. Nikoloulopoulos <A.Nikoloulopoulos@uea.ac.uk> and H. Joe <harry.joe@ubc.ca>
Josh Pasek, with some assistance from Alex Tahk and some code modified from R-core; Additional contributions by Gene Culter and Marcus Schwemmle.
Karthik Ram [aut, cre],
Hadley Wickham [aut],
Clark Richards [ctb]
In Song Kim <insong@mit.edu>, Kosuke Imai <kimai@Princeton.edu>
Julian Taylor <julian.taylor@adelaide.edu.au>, Simon Diffey <simon.diffey@dpi.nsw.gov.au>, Ari Verbyla <ari.verbyla@csiro.au> and Brian Cullis <bcullis@uow.edu.au>.
Peter Langfelder <Peter.Langfelder@gmail.com> and Steve Horvath <SHorvath@mednet.ucla.edu> with contributions by Chaochao Cai, Jun Dong, Jeremy Miller, Lin Song, Andy Yip, and Bin Zhang
Chris Wallace [aut, cre], Olly Burren [ctb]
Heather Stoll <hstoll@polsci.ucsb.edu>,
Gary King <king@harvard.edu>,
Langche Zeng <zeng@ucsd.edu>,
Ulrich Wittelsbuerger [aut, cre], Heng Li [ctb], Bob Handsaker [ctb]
Mark Seligman, with contributions from Chris Fraley.
Oliver Keyes [aut, cre], Christian Graul [ctb]
Avner Bar-Hen [aut, cre],
Louise Baschet [ctb],
Francois-Xavier Jollois [ctb],
Jeremie Riou [ctb]
Peter Meissner [aut, cre], R Core team [ctb] ('wp_date()'
derived from base package's 'as.Date()')
Claudio Agostinelli <claudio@unive.it>,  SLATEC Common Mathematical Library <www.netlib.org/slatec>
Stephane Roux <stephane.roux@ens-lyon.fr>, Francois Semecurbe <francois.semecurbe@univ-fcomte.fr>, Cecile Tannier <cecile.tannier@univ-fcomte.fr>
Ingo Feinerer [aut],
Kurt Hornik [aut, cre],
Mike Wallace [ctb, cph] (Jawbone Java WordNet API library)
Hana Sevcikova <hanas@uw.edu>, Patrick Gerland <gerland@un.org>
Hana Sevcikova (hanas@uw.edu), Patrick Gerland (gerland@un.org), Kirill Andreev (andreev@un.org), Nan Li (li32@un.org), Danan Gu (gud@un.org), Thomas Spoorenberg (spoorenberg@un.org)
Raphael Winkelmann [aut, cre],
Lasse Bombien [aut],
Michel Scheffers [aut]
Manuel Castejon Limas <manuel.castejon@unileon.es>, Joaquin
Ordieres Mere <joaquin.ordieres@dim.unirioja.es>, Francisco
Javier de Cos Juez <decos@api.uniovi.es>, Francisco Javier
Martinez de Pison <fjmartin@dim.unirioja.es>
Marc Schwartz <marc_schwartz@me.com> and various authors for Perl modules listed in each .pm file.
Patrick Mair [cre, aut],
Felix Schoenbrodt [aut],
Rand Wilcox [aut]
Graham Williams [aut],
Joshua Z Huang [aut],
Xiaojun Chen [aut],
Qiang Wang [aut],
Longfei Xiao [aut],
He Zhao [cre]
Qinghan Meng [aut],
He Zhao [aut, cre],
Graham Williams [aut],
Junchao Lv [ctb],
Baoxun Xu [aut]
Thomas Mendlik [aut, cre], Georg Heinrich [aut], Armin Leuprecht [aut], Andreas Gobiet [ths]
Shu Chen, Andrzej Galecki <agalecki@umich.edu>
Alexander Kowarik <alexander.kowarik@statistik.gv.at>, Angelika Meraner
Daniel Schopfhauser, Alexander Kowarik
<alexander.kowarik@statistik.gv.at>, Angelika Meraner
Nicolas Turenne [aut],
Tien T. Phan [aut, cre],
John Resig [ctb, cph] (the JavaScript file at
inst/www/jquery-1.11.1.min.js),
Jeroen Ooms [ctb] (the JavaScript file at inst/www/opencpu-0.5.js)
Philip Leifeld [aut, cre],
Skyler J. Cranmer [aut],
Bruce A. Desmarais [aut]
Tianqi Chen <tianqi.tchen@gmail.com>, Tong He <hetong007@gmail.com>, Michael Benesty <michael@benesty.fr>
Martin Maechler, originally packaged for R by Kurt Hornik
<Kurt.Hornik@R-project.org>, based on the S code in the XGobi
distribution.  Windows port based on this and earlier work by
Brian Ripley <ripley@stats.ox.ac.uk>.
Xiao-Ping You, Qi-Lei Zou, Jian-Long Li, Ji-Yuan Zhou
Mirai Solutions GmbH [aut],
Martin Studer [cre],
The Apache Software Foundation [ctb, cph] (Apache POI, Apache Commons
Codec),
Stephen Colebourne [ctb, cph] (Joda-Time Java library)
Mirai Solutions GmbH [aut],
Martin Studer [cre],
The Apache Software Foundation [ctb, cph] (Apache POI, Apache XMLBeans)
Adrian A. Dragulescu [aut, cre],
The Apache Software Foundation Apache Commons Codec [ctb, cph] (Apache
POI, Apache XMLBeans),
MetaStuff, Ltd. [ctb, cph] (Dom4j)
Hadley Wickham [aut, cre],
Jeroen Ooms [ctb],
RStudio [cph],
R Foundation [ctb] (Copy of R-project homepage cached as example)
Ying-Wooi Wan, Genevera I. Allen, Yulia Baker, Eunho Yang, Pradeep Ravikumar, Zhandong Liu
Karl W Broman <kbroman@biostat.wisc.edu>, Il youp Kwak
Andrew C. Hooker [aut, cre, cph],
Mats O. Karlsson [aut, cph],
Justin J. Wilkins [aut],
E. Niclas Jonsson [aut, trl, cph],
Ron Keizer [ctb] (functionality for bootstrap of GAM and SCM)
Nicholas L. Crookston, Andrew O. Finley, John Coulston (Sunil Arya and David Mount for ANN)
Kim Nimon <kim.nimon@gmail.com>, Fred Oswald, and J. Kyle Roberts.
Greg Lamp <greg@yhathq.com>, Eric Chiang <eric@yhathq.com>
Federico Girosi <girosi@rand.org>
Gary King <king@harvard.edu>
Elena Villalon <evillalon@latte.harvard.edu>
Jon Bischof <jbischof@fas.harvard.edu>
Konstantin Kashin <kkashin@fas.harvard.edu>
Remko Duursma. QuasiMC by Mik Cieslak. Uses code by Robert Pearcy
(Yplant) and Belinda Medlyn (MAESTRA)
Kim-Anh Le Cao, Florian Rohart, Leo McHugh, Othmar Korn, Christine A. Wells
Javier Palarea-Albaladejo and Josep Antoni Martin-Fernandez
Francois Brun (ACTA), David Makowski (INRA), Daniel Wallach
(INRA), James W. Jones (U.of Florida).
Matt Owen <mowen@iq.harvard.edu>, Kosuke Imai
<kimai@Princeton.Edu>, Gary King <king@harvard.edu>, Olivia Lau
<olau@fas.harvard.edu>
James Honaker \email{zelig-zee@@iq.harvard.edu} Matt Owen, Kosuke Imai, Olivia Lau and Gary King
Matthew Owen, Skyler Cranmer, Olivia Lau, Kosuke Imai and Gary King
Matthew Owen, Ferdinand Alimadhi, Delia Bailey
Guillaume Latombe, Melodie A. McGeoch, Cang Hui
Ming Yang, Gideon K. D. Zamba, and Joseph E. Cavanaugh
Stefan Evert <stefan.evert@uos.de>, Marco Baroni
<marco.baroni@unitn.it>
Fang Liu <fang.liu.131@nd.edu> with contributions from Yunchuan Kong <ykong@cuhk.edu.hk>
Achim Zeileis [aut, cre],
Gabor Grothendieck [aut],
Jeffrey A. Ryan [aut],
Felix Andrews [ctb]
Erik Otarola-Castillo, Jesse Wolfhagen, Max D. Price
Philippe Grosjean [aut, cre],
Kevin Denis [aut]
Corentin M Barbu [aut, cre],
Sebastian Gibb [ctb]
David Bronaugh <bronaugh@uvic.ca>, Arelia Werner <wernera@uvic.ca> for the Pacific Climate Impacts Consortium
person("Gaurav", "Sood", email = "gsood07@gmail.com", role = c("aut", "cre"))
c(
person("Csillery", "Katalin", role = "aut", email="kati.csillery@gmail.com"),
person("Lemaire", "Louisiane", role = "aut"),
person("Francois", "Olivier", role = "aut"),
person("Blum", "Michael",
email = "michael.blum@imag.fr", role = c("aut", "cre")))
c(person("Fraser Ian", "Lewis", role = c("aut"), email = "fraseriain.lewis@uzh.ch"), person("Marta", "Pittavino", role = c("cre","ctb"), email = "marta.pittavino@math.uzh.ch"), person("Reinhard", "Furrer", role = c("ctb"), email = "reinhard.furrer@math.uzh.ch"))
c(person("Robert", "Wolpert", email = "wolpert@stat.duke.edu", role = c("aut", "cre")),
person("Jacob",  "Coleman", email = "jrc71@stat.duke.edu",   role = c("aut")))
c(
person("Maria", "Ortiz", role=c("aut")),
person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"),
email="henrikb@braju.com"),
person("Angel", "Rubio", role=c("aut")))
c( person("Nicolas", "Gauvrit", role = "aut"), person("Henrik",
"Singmann", email = "singmann+acss@gmail.com", role = c("aut", "cre")),
person("Fernando", "Soler Toscano", role = "ctb"), person("Hector",
"Zenil", role = "ctb") )
c(
person("Fernando", "Soler Toscano", role = "aut"),
person("Nicolas", "Gauvrit", role = "aut"),
person("Hector", "Zenil", role = "aut"),
person("Henrik", "Singmann",
email = "singmann@gmail.com", role =
c("aut", "cre")))
c(person(given = "Pedro Rafael", family = "Diniz Marinho", role =
c("aut", "cre"), email = "pedro.rafael.marinho@gmail.com"),
person(given = "Marcelo", family = "Bourguignon", role =
c("aut","ctb"), email = "m.p.bourguignon@gmail.com"),
person(given = "Cicero Rafael", family = "Barros Dias", role =
c("aut","ctb"), email = "cicerorafael@gmail.com"))
c(
person('Imanuel', 'Costigan', email = 'i.costigan@me.com',
role = c('aut', 'cre')),
person('Australian Energy Market Operator', role = 'cph'))
c(person(given = "Christian", family = "Kleiber", role = "aut", email = "Christian.Kleiber@unibas.ch"),
person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"))
c(person(given="Henrik", family="Singmann", role=c("aut",
"cre"), email="singmann+afex@gmail.com"), person(given="Ben",
family="Bolker", role=c("aut")), person(given="Jake", family="Westfall",
role=c("aut")), person(given="Søren", family="Højsgaard", role=c("ctb")),
person(given="John", family="Fox", role=c("ctb")), person(given="Michael
A.", family="Lawrence", role=c("ctb")), person(given="Ulf",
family="Mertens", role=c("ctb")) )
c(person("Francisco", "Balao", role = c("aut", "cre"),email = "fbalao@us.es"),person("Juan Luis", "García-Castaño", role = "aut",email = "jlgc@us.es"))
c( person("Marek", "Gagolewski", role = c("aut", "cre"),
email = "gagolews@rexamine.com"), person("Anna", "Cena", role =
"ctb", email = "cena@rexamine.com") )
c(person("Lutz", "Prechelt", role = c("aut","cre"),
email = "prechelt@inf.fu-berlin.de"))
c(person("David", "Kahle", role = c("aut","cre"), email =
"david.kahle@gmail.com"), person("Luis", "Garcia-Puente", role = "aut",
email = "lgarcia@shsu.edu"))
c(person('Sean', 'Downey', role = c("aut","cre"),email="sdowney2@umd.edu"),
person('Guowei', 'Sun', role = "aut",email="gwsun@umd.edu"))
c(person("Scott", "Chamberlain", role = c("aut", "cre"),
email = "myrmecocystus@gmail.com"),
person("Carl", "Boettiger", role = "aut",
email = "cboettig@gmail.com"),
person("Karthik", "Ram", role = "aut",
email = "karthik.ram@gmail.com"),
person("Fenner", "Martin", role = "aut",
email = "mfenner.ram@plos.org"))
c(person("Kangwon", "Seo", role = c("aut", "cre"),
email = "kseo7@asu.edu"),
person("Rong", "Pan", role =  "aut",
email = "rong.pan@asu.edu"))
c(person("Dong", "Wang", role = c("aut", "cre"), email = "dwangstat@gmail.com"))
c(person(given = "Anja", family = "Lange", role =
c("aut", "cre"), email = "anja.lange@uni-due.de"),
person(given = "Daniel", family = "Hoffmann", role = "aut", email
= "daniel.hoffmann@uni-due.de"))
c(person("Patrick", "Mair", role = c("aut", "cre"), email =
"mair@fas.harvard.edu"), person("Jan", "De Leeuw", role = "aut"))
c(person(given = c("Gavin", "L."), family = "Simpson",
role = c("aut", "cre"),
email = "ucfagls@gmail.com"),
person(given = "Jari", family = "Oksanen",
role = "aut"))
c(person(given = c("Gavin", "L."), family = "Simpson",
role = c("aut", "cre"),
email = "ucfagls@gmail.com"))
c(person("Lijia", "Yu", role = "ctb"),
person("Weicheng", "Zhu", role = "ctb"),
person("Yihui", "Xie", role = c("cre", "aut"), email = "xie@yihui.name"))
'Karthik Ram <karthik.ram@gmail.com> [aut, cre]'
person("Sebastian", "Warnholz", role = c("aut", "cre"),
email = "wahani@gmail.com")
c(person("Emmanuel", "Paradis", role = c("aut", "cre", "cph"), email = "Emmanuel.Paradis@ird.fr"),
person("Simon", "Blomberg", role = c("aut", "cph")),
person("Ben", "Bolker", role = c("aut", "cph")),
person("Julien", "Claude", role = c("aut", "cph")),
person("Hoa Sien", "Cuong", role = c("aut", "cph")),
person("Richard", "Desper", role = c("aut", "cph")),
person("Gilles", "Didier", role = c("aut", "cph")),
person("Benoit", "Durand", role = c("aut", "cph")),
person("Julien", "Dutheil", role = c("aut", "cph")),
person("Olivier", "Gascuel", role = c("aut", "cph")),
person("Christoph", "Heibl", role = c("aut", "cph")),
person("Anthony", "Ives", role = c("aut", "cph")),
person("Daniel", "Lawson", role = c("aut", "cph")),
person("Vincent", "Lefort", role = c("aut", "cph")),
person("Pierre", "Legendre", role = c("aut", "cph")),
person("Jim", "Lemon", role = c("aut", "cph")),
person("Rosemary", "McCloskey", role = c("aut", "cph")),
person("Johan", "Nylander", role = c("aut", "cph")),
person("Rainer", "Opgen-Rhein", role = c("aut", "cph")),
person("Andrei-Alin", "Popescu", role = c("aut", "cph")),
person("Manuela", "Royer-Carenzi", role = c("aut", "cph")),
person("Klaus", "Schliep", role = c("aut", "cph")),
person("Korbinian", "Strimmer", role = c("aut", "cph")),
person("Damien", "de Vienne", role = c("aut", "cph")))
c(TJ=person("Thibaut", "Jombart", , "t.jombart@imperial.ac.uk", role = c("aut", "cre")),
ZK=person("Zhian Namir", "Kamvar", email = "kamvarz@science.oregonstate.edu", role = c("aut")),
KS=person("Klaus", "Schliep", email="klaus.schliep@umb.edu", role = c("aut")),
RH=person("Rebecca", "Harris", email="rbharris@uw.edu", role = c("aut")))
"Luca Braglia <lbraglia@gmail.com> [aut, cre]"
person("Luca", "Braglia", email = "lbraglia@gmail.com",
role = c("aut", "cre"))
person("Pieter", "Vermeesch", , "p.vermeesch@ucl.ac.uk", role = c("aut", "cre"))
c(person("Manuel", "J. A. Eugster", role = c("aut", "cre"), email =
"manuel@mjae.net"), person("Friedrich", "Leisch", role = "aut"),
person("Sohan", "Seth", role = "ctb"))
c(
person("Przemyslaw", "Biecek", role = c("aut", "cre"),
email = "przemyslaw.biecek@gmail.com"),
person("Marcin", "Kosinski", role = c("aut"),
email = "m.p.kosinski@gmail.com")
)
c(person("Patrick", "Kraft", role = c("aut", "cre"),
email = "patrick.kraft@stonybrook.edu"),
person("Christopher", "Weber", role = "ctb"))
c(person("Andrew", "Gelman", role = "aut", email = "gelman@stat.columbia.edu"),
person("Yu-Sung", "Su", role =  c("aut", "cre"), email = "suyusung@tsinghua.edu.cn"),
person("Masanao", "Yajima", role =  "ctb", email = "yajima@stat.ucla.edu"),
person("Jennifer", "Hill", role =  "ctb", email = "jennifer.hill@nyu.edu"),
person("Maria Grazia", "Pittau", role =  "ctb", email = "grazia@stat.columbia.edu"),
person("Jouni", "Kerman", role =  "ctb", email = "jouni@kerman.com"),
person("Tian", "Zheng", role =  "ctb", email = "tzheng@stat.columbia.edu"),
person("Vicent", "Dorie", role =  "ctb", email = "vjd4@nyu.edu")
)
c(
person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"),
email="henrikb@braju.com"),
person("James", "Bullard", role="ctb"),
person("Kasper", "Hansen", role="ctb"),
person("Pierre", "Neuvial", role="ctb"),
person("Elizabeth", "Purdom", role="ctb"),
person("Mark", "Robinson", role="ctb"),
person("Ken", "Simpson", role="ctb"))
c(person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"),
email = "henrikb@braju.com"))
c(
person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"),
email="henrikb@braju.com"),
person("Pierre", "Neuvial", role="aut"))
c(
person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"),
email="henrikb@braju.com"),
person("Mark", "Robinson", role="ctb"),
person("Ken", "Simpson", role="ctb"))
c(person("Derrick", "Turk", role = c("aut", "cre", "cph"),
email = "dwt@terminusdatascience.com"))
person("Ed", "Curry", role = c("aut", "cre"),email =
"e.curry@imperial.ac.uk")
c(person("Matthew", "Kay", role = c("aut", "cre"),
email = "mjskay@uw.edu"),
person("Jacob O.", "Wobbrock", role = "aut",
email = "wobbrock@uw.edu"))
c(person("Michael", "Hahsler", role = c("aut", "cre", "cph"),
email = "mhahsler@lyle.smu.edu"),
person("Christian", "Buchta", role = c("aut", "cph")),
person("Bettina", "Gruen", role = c("aut", "cph")),
person("Kurt", "Hornik", role = c("aut", "cph")),
person("Christian", "Borgelt", role = c("ctb", "cph")))
c(person("Karthik", "Ram", role="aut",
email="karthik.ram@gmail.com"),
person("Karl", "Broman", rol=c("aut","cre"),
email="kbroman@biostat.wisc.edu"))
c(person(given="Patrick", family="Mair", email="mair@fas.harvard.edu", role=c("cre","aut")),
person(given=c("Jan"), family="De Leeuw", email="deleeuw@stat.ucla.edu", role=c("aut")))
person("Richard", "Cotton", role = c("aut", "cre"), email =
"richierocks@gmail.com")
person("Tony", "Fischetti", email="tony.fischetti@gmail.com",
role = c("aut", "cre"))
c(person("Ando","Emerencia",role = c("aut","cre"),
email = "ando.emerencia@gmail.com"))
c(person("Pablo Emilio", "Verde", role=c("aut","cre"),
email="pabloemilio.verde@hhu.de"))
c(person("Kristian Hovde", "Liland", role = c("aut","cre"), email="kristian.liland@nmbu.no"), person("Bjørn-Helge", "Mevik", role=c("aut")), person("Roberto", "Canteri", role=c("ctb")))
c(person("Richard D.", "Morey", role = c("aut", "cre"), email =
"richarddmorey@gmail.com"), person("Jeffrey N.", "Rouder", role = "aut",
email = "rouderj@missouri.edu"), person("Tahira", "Jamil", role = "ctb",
email = "tahjamil@gmail.com"))
c(person("Yang (Seagle)", "Liu", role=c("aut", "cre"), email="yang.liu@stat.ubc.ca"), person("Brian C.", "Battaile", role=c("ctb"), email="brian.battaile at gmail.com"))
c( person( "Arthur", "White", email = "arwhite@tcd.ie", role = c( "aut", "cre" ), comment = "Previous email address: arthur.white@ucdconnect.ie" ), person( "Thomas Brendan", "Murphy", email = "brendan.murphy@ucd.ie", role = c( "aut", "ths" ) ) )
c(person("Bettina", "Gruen", role = c("aut", "cre"),
email = "Bettina.Gruen@jku.at"),
person("Martyn", "Plummer", role = "ctb"))
c(person(given = "Daniel", family = "Adler", role = c("aut", "cre"), email = "dadler@uni-goettingen.de"),
person(given = "Thomas", family = "Kneib", role = "aut", email = "tkneib@uni-goettingen.de"),
person(given = "Stefan", family = "Lang", role = "aut", email = "Stefan.Lang@uibk.ac.at"),
person(given = "Nikolaus", family = "Umlauf", role = "aut", email = "Nikolaus.Umlauf@uibk.ac.at"),
person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org"))
c(
person("Ravi", "Varadhan", role=c("aut","cph","trl"), email="rvaradhan@jhmi.edu"),
person("Paul", "Gilbert",  role=c("aut","cre"), email="pgilbert.ttv9z@ncf.ca"),
person("Marcos", "Raydan", role="ctb",
comment="with co-authors, wrote original algorithms in fortran. These provided some guidance for implementing R code in the BB package."),
person("JM", "Martinez", role="ctb",
comment="with co-authors, wrote original algorithms in fortran. These provided some guidance for implementing R code in the BB package."),
person("EG", "Birgin", role="ctb",
comment="with co-authors, wrote original algorithms in fortran. These provided some guidance for implementing R code in the BB package."),
person("W", "LaCruz", role="ctb",
comment="with co-authors, wrote original algorithms in fortran. These provided some guidance for implementing R code in the BB package.")
)
c(person("Bernd", "Bischl", email = "bernd_bischl@gmx.net",
role = c("aut", "cre")), person("Michel", "Lang", email =
"michellang@gmail.com", role = "aut"), person("Jakob", "Bossek", email =
"jakob.bossek@tu-dortmund.de", role = "aut"), person("Daniel", "Horn",
email = "daniel.horn@tu-dortmund.de", role = "aut"), person("Jakob",
"Richter", email = "code@jakob-r.de", role = "aut"))
c(person("Ricardo", "de Matos Simoes", role=c("aut","cre"),
email="r.dematossimoes@qub.ac.uk"), person("Frank",
"Emmert-Streib", role=c("aut","cre"),
email="f.emmert-streib@qub.ac.uk"))
c(person("Majid", "Einian", role = c("aut", "cre"),
email = "m.einian@mbri.ac.ir"))
c(
person("Jeroen", "Ooms", , "jeroen.ooms@stat.ucla.edu", role = c("cre", "aut")),
person("Damien", "Miller", role = "cph"),
person("Niels", "Provos", role = "cph")
)
c(person("Frank", "Schaarschmidt", role = c("aut", "cre"),
email = "schaarschmidt@biostat.uni-hannover.de"))
c(person("Manuel", "J. A. Eugster", role = c("aut", "cre"),
email = "manuel@mjae.net"))
c(person("Dieter William", "Joenssen", role = c("aut", "cre", "cph"),
email = "Dieter.Joenssen@TU-Ilmenau.de"),
person("Thomas", "Muellerleile", role = "ctb",
email = "Thomas.Muellerleile@TU-Ilmenau.de"))
c(person(given = "Willem", family = "van Loon", email =
"willem.van.loon@rws.nl", role = c("aut", "cph")), person(given = "Dennis",
family = "Walvoort", email = "dennis.Walvoort@wur.nl", role = c("aut",
"cre")))
c(person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
person(given = "Francisco", family = "Cribari-Neto", role = "aut", email = "cribari@ufpe.br"),
person(given = "Bettina", family = "Gruen", role = "aut", email = "Bettina.Gruen@jku.at"),
person(given = "Ioannis", family = "Kosmidis", role = "aut", email = "ioannis@stats.ucl.ac.uk"),
person(given = c("Alexandre", "B."), family = "Simas", role = "ctb", comment = "earlier version by"),
person(given = c("Andrea", "V."), family = "Rocha", role = "ctb", comment = "earlier version by"))
person("Andrea", "Cantieni", email = "andrea.cantieni@phsz.ch",
role = c("aut", "cre"))
c(person(given = "Jan", family = "Verbesselt", role = c("aut", "cre"), email = "Jan.Verbesselt@wur.nl"),
person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org"),
person(given = "Rob", family = "Hyndman", role = "ctb", email = "Rob.Hyndman@buseco.monash.edu.au"))
c(person("Romain", "Francois", role = c("aut", "cre"),
email = "romain@r-enthusiasts.com"),
person("Kurt", "Hornik", role = "ctb",
email = "Kurt.Hornik@R-project.org"),
person("Michael", "Koohafkan", role = "ctb",
email = "michael.koohafkan@gmail.com")
)
person("Claus-Christian", "Carbon", role = c("aut", "cre"), email ="ccc@experimental-psychology.com")
c(person("Christopher", "Paciorek", email = "paciorek@stat.berkeley.edu", role = c("aut", "cre")), person("Benjamin","Lipshitz", role = c("aut")), person(family = "Prabhat", role = c("ctb")), person("Cari", "Kaufman", role = c("ctb")), person("Tina", "Zhuo", role = c("ctb")), person("Rollin", "Thomas", role = c("ctb")))
c(person("Leon", "Hwang", role=c("cre", "aut"), email="hwang@bigml.com"))
c(person("Aloysius", "Lim", role = c("aut", "cre"),
email="aloysius.lim@gmail.com"),
person("Leo", "Breiman", role = "aut"),
person("Adele", "Cutler", role = "aut"))
c(
person("Hadley", "Wickham", , "hadley@rstudio.com", c("aut", "cre")),
person("RStudio", role = "cph")
)
c(person("Sasha D.", "Hafner", role = c("aut", "cre"), email = "saha@kbm.sdu.dk"), person("Charlotte", "Rennuit", role = "aut", email = "cre@kbm.sdu.dk"), person("Jin Mi", "Triolo", role = "ctb"), person("Ali", "Heidarzadeh Vazifehkhoran", role = "ctb"))
c(person("Nicholas J.", "Matzke", email = "matzke@berkeley.edu", role =
c("aut", "cre", "cph")))
c(
person("Michal", "Burdukiewicz",
email = "michalburdukiewicz@gmail.com",
role = c("cre", "aut")),
person("Piotr", "Sobczyk",
role = "aut"),
person("Chris", "Lauber",
role = "aut"))
person (c("Daniel", "T."), "Braithwaite", role=c("aut", "cre"),
email="contact.dtb@gmail.com")
c(person("Edmund", "Hart", role = c("aut","cre"),
email = "edmund.m.hart@gmail.com"))
c(
person("Xiaolin","Yang",role=c("aut","cre"), email="xyang@stat.cmu.edu"),
person("Stephen E.","Fienberg", role=c("aut"),email="fienberg@stat.cmu.edu"),
person("Alessandro","Rinaldo",role=c("aut"),email="rinaldo@stat.cmu.edu"),
person("Han","Liu",role=c("aut"),email="hanliu@princeton.edu"),
person("Michael","Rosenblum",role=c("aut"),email="mrosen@jhu.edu"))
c(person("Francesco", "Sambo", role=c("aut","cre"), email="francesco.sambo@dei.unipd.it"),
person("Alberto", "Franzin", role=c("aut"), email="afranzin@ulb.ac.be"))
c(person("Scott", "Chamberlain", role = c("aut", "cre"),
email = "myrmecocystus@gmail.com"))
c(person("Christoph", "Müssel", role = "aut"),
person("Martin", "Hopfensitz", role = "aut"),
person("Dao", "Zhou", role = "aut"),
person(c("Hans", "A."), "Kestler", email = "hans.kestler@uni-ulm.de", role = c("aut", "cre")),
person("Armin", "Biere", role = "ctb", comment="contributed PicoSAT code"),
person(c("Troy", "D."), "Hanson", role = "ctb", comment="contributed uthash macros"))
c(person("Angelo", "Canty", role = "aut",
email = "cantya@mcmaster.ca"),
person("Brian", "Ripley", role = c("aut", "trl", "cre"),
email = "ripley@stats.ox.ac.uk",
comment = "author of parallel support"))
person("Brendan", "Rocks", email = "rocks.brendan@gmail.com",
role = c("aut", "cre"))
c(person("A. Jonathan R.", "Godfrey", role=c("aut", "cre"), email="a.j.godfrey@massey.ac.nz"),
person("Greg", "Snow", email = "greg.snow@imail.org", role = "ctb"),
person("James", "Curtis", email = "james@curtis.net.nz", role = "ctb"),
person("Paul", "Murrell", email = "paul@stat.auckland.ac.nz", role = "ctb"),
person("Timothy", "Bilton", email = "tbilton@gmail.com", role = "ctb"),
person("Yihui", "Xie", email = "xie@yihui.name", role = "ctb"))
person("Paul-Christian", "Buerkner", email = "paul.buerkner@gmail.com",
role = c("aut", "cre"))
c(
person("David", "Robinson", email = "admiral.david@gmail.com", role = c("aut", "cre")),
person("Matthieu", "Gomez", email = "mattg@princeton.edu", role = "ctb"),
person("Boris", "Demeshev", email = "boris.demeshev@gmail.com", role = "ctb"),
person("Dieter", "Menne", email = "dieter.menne@menne-biomed.de", role = "ctb"),
person("Benjamin", "Nutter", email = "nutter@battelle.org", role = "ctb"),
person("Hadley", "Wickham", email = "hadley@rstudio.com", role = "ctb")
)
c(person("Lukasz", "Dziurzynski", role="aut"),
person("Edward", "Wadsworth", role="aut"),
person("Peter", "Fader", role="ctb"),
person("Elea", "McDonnell Feit", role="ctb"),
person("Daniel", "McCarthy", role=c("aut","cre","ctb"),
email="danielmc@wharton.upenn.edu"),
person("Bruce", "Hardie", role="ctb"),
person("Arun", "Gopalakrishnan", role="ctb"),
person("Eric", "Schwartz", role="ctb"),
person("Yao", "Zhang", role="ctb"))
person("Jeff", "Binder", role = c("aut", "cre"), email =
"extruded@gmail.com")
c(person(given = "Michael", family = "Greenacre", role = "aut", email = "michael.greenacre@upf.edu"),
person(given = "Oleg", family = "Nenadic", role = c("aut", "cre"), email = "onenadi@uni-goettingen.de"),
person(given = "Michael", family = "Friendly", role = "ctb"))
c(person("Anoop", "Shah", role=c("aut", "cre"), email="anoop@doctors.org.uk"),
person("Jonathan", "Bartlett", role="ctb"),
person("Harry", "Hemingway", role="ths"),
person("Owen", "Nicholas", role="ths"),
person("Aroon", "Hingorani", role="ths"))
c(
person("Maria", "Ortiz", role=c("aut", "ctb")),
person("Ander", "Aramburu", role=c("ctb")),
person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"),
email="henrikb@braju.com"),
person("Pierre", "Neuvial", role=c("aut", "ctb")),
person("Angel", "Rubio", role=c("aut", "ctb")))
c(person(given = "Michael", family = "Friendly", role=c("aut", "cre"), email="friendly@yorku.ca"),
person(given = "John", family = "Fox", role="aut"))
c(person(given='Oswaldo', family='Santos Baquero',
email='oswaldosant@gmail.com', role=c("aut", "cre")),
person(given='Marcos', family='Amaku',
email='amaku@vps.fmvz.usp.br', role="ctb"),
person(given='Fernando', family='Ferreira',
email='fernando@vps.fmvz.usp.br', role="ctb"))
person("Letaw", "Alathea", email = "alathea@zoology.ubc.ca", role = c("aut", "cre"))
c(person("John", "Fox", role = c("aut", "cre"), email = "jfox@mcmaster.ca"),
person("Sanford", "Weisberg", role = "aut", email = "sandy@umn.edu"),
person("Daniel", "Adler", role="ctb"),
person("Douglas", "Bates", role = "ctb"),
person("Gabriel", "Baud-Bovy", role = "ctb"),
person("Steve", "Ellison", role="ctb"),
person("David", "Firth", role = "ctb"),
person("Michael", "Friendly", role = "ctb"),
person("Gregor", "Gorjanc", role = "ctb"),
person("Spencer", "Graves", role = "ctb"),
person("Richard", "Heiberger", role = "ctb"),
person("Rafael", "Laboissiere", role = "ctb"),
person("Georges", "Monette", role = "ctb"),
person("Duncan", "Murdoch", role="ctb"),
person("Henric", "Nilsson", role = "ctb"),
person("Derek", "Ogle", role = "ctb"),
person("Brian", "Ripley", role = "ctb"),
person("William", "Venables", role = "ctb"),
person("Achim", "Zeileis", role = "ctb"),
person("R-Core", role="ctb"))
c(person("Susanne", "Rolinski", role = "aut"),
person("René", "Sachse", role = "aut"),
person("Thomas", "Petzoldt", role = c("aut", "cre"),
email = "thomas.petzoldt@tu-dresden.de"))
c(person(c("Zachary", "A."), "Mayer", role = c("aut", "cre"),
email = "zach.mayer@gmail.com"),
person(c("Jared", "E."), "Knowles", role=c("aut"),
email="jknowles@gmail.com"))
c(person("Ricardo", "Silva", email = "ricardo@stats.ucl.ac.uk", role = c("cre", "aut")),
person("Robin", "Evans", email = "robin.evans@stats.ox.ac.uk", role = "aut"))
c(person("Seppo", "Virtanen", role = c("aut", "cre"),
email = "s.virtanen@warwick.ac.uk"),
person("Eemeli", "Leppaaho", role = "aut",
email = "eemeli.leppaaho@aalto.fi"),
person("Arto", "Klami", role = "aut",
email = "arto.klami@cs.helsinki.fi"))
c(person("Andreas", "Alfons", email = "alfons@ese.eur.nl",
role = c("aut", "cre")), person("David", "Simcha", role = "ctb"))
c(person("Bernhard", "Pfaff", role = c("aut", "cre"), email = "bernhard@pfaffikus.de"), person("Lieven", "Vandenberghe", role = "cph", comment = "copyright holder of cvxopt"), person("Martin", "Andersen", role = "cph", comment = "copyright holder of cvxopt"), person("Joachim", "Dahl", role = "cph", comment = "copyright holder of cvxopt"))
c(person("Evgenia", "Dimitriadou", role = "aut"),
person("Kurt", "Hornik", role = c("ctb", "cre"),
email = "Kurt.Hornik@R-project.org"))
c(person("Baptiste", "Auguie",
email = "baptiste.auguie@gmail.com",
role = c("aut", "cre")),
person("LAPACK authors",
role = "cph",
comment = "copyrights apply to src/zgels.f"))
c(person("Emilio", "Torres Manzanera", role = c("aut",
"cre"), email = "torres@uniovi.es"))
c( person("Alexander", "Robitzsch", role = c("aut", "cre"),
email = "a.robitzsch@bifie.at"),
person("Thomas", "Kiefer", role = "aut"),
person("Ann Cathrice", "George", role = "aut"),
person("Ali", "Uenlue", role = "aut") )
c(person(given = "Pieter", family = "Schoonees", role = c("aut",
"cre"), email = "schoonees@gmail.com"))
c(person("Yasser", "Gonzalez-Fernandez", role = c("aut", "cre"), email = "ygonzalezfernandez@gmail.com"),
person("Marta", "Soto", role = "aut", email = "mrosa@icimaf.cu"))
c(person("Mauricio", "Zambrano-Bigiarini", email="mzb.devel@gmail.com", role=c("aut","cre")), person("Yasser", "Gonzalez-Fernandez", email="ygonzalezfernandez@gmail.com", role=c("aut")) )
c(
person("Jennifer", "Bryan", , "jenny@stat.ubc.ca", c("cre", "aut")),
person("Hadley", "Wickham", , "hadley@rstudio.com", "ctb")
)
c(person(c("Christopher","G."),"Green",role=c("aut","cre"),
email = "christopher.g.green@gmail.com"),
person(c("R.","Doug"),"Martin",role="ths"))
c(person("Markus", "Gesmann", role = c("aut", "cre"),
email = "markus.gesmann@googlemail.com"),
person("Daniel", "Murphy", role = "aut",
email="danielmarkmurphy@gmail.com"),
person("Wayne", "Zhang", role = "aut",
email="actuary_zhang@hotmail.com"),
person("Alessandro", "Carrato", role = "aut",
email="alessandro.carrato@gmail.com"),
person("Giuseppe", "Crupi", role="aut"),
person("Christophe", "Dutang", role="ctb"),
person("Arnaud", "Lacoume", role="ctb"),
person("Arthur", "Charpentier", role = "ctb"),
person("Mario", "Wuthrich", role = "aut"),
person("Fabio", "Concina", role="aut",
email="fabio.concina@gmail.com")
)
c(person("Rebecca", "Killick",
role=c("aut","cre"),email="r.killick@lancs.ac.uk"),
person("Kaylea", "Haynes", role="aut"),
person("Idris", "Eckley", role="aut"),
person("Paul","Fearnhead",role="ctb"), person("Jamie","Lee",role="ctr"))
c(
person("Stefan", "Roediger",
email = "stefan.roediger@hs-lausitz.de",
role = c("cre", "aut")),
person("Michal", "Burdukiewicz",
email = "michalburdukiewicz@gmail.com", role = "aut"),
person("Konstantin A.", "Blagodatskikh",
email = "k.blag@yandex.ru", role = "ctb"))
person("Jack", "Horne", role=c("aut", "cre"),
email="jack@jackhorne.net")
c(person("Ryan", "Sermas", role = "aut", email =
"DecisionAnalystR@decisionanalyst.com"), person(c("John","V"),
"Colias", role = c("ctb","cre"), email =
"jcolias@decisionanalyst.com"), person("Decision Analyst,
Inc.", role = "cph"))
person("Matthew", "Pennell", role = c("aut", "cre"),
email = "mwpennell@gmail.com")
c(person("David", "James", role = "aut",
comment = "S original"),
person("Kurt", "Hornik", role = c("aut", "trl", "cre"),
email = "Kurt.Hornik@R-project.org"),
person("Gabor", "Grothendieck", role = "ctb",
email = "ggrothendieck@gmail.com"))
c(person("Samrachana","Adhikari",role="aut"),
person("Beau","Dabbs",email="bdabbs@andrew.cmu.edu",role=c("cre","aut")),
person("Brian","Junker",role="aut"),
person("Mauricio","Sadinle",role="aut"),
person("Tracy","Sweet",role="aut"),
person("A.C.","Thomas",role="aut"))
c(
person("Marek", "Gagolewski", role = c("aut", "cre"),
email = "gagolews@ibspan.waw.pl")
)
c(person("Brian", "Ripley", role = c("aut", "cre", "cph"),
email = "ripley@stats.ox.ac.uk"),
person("William", "Venables", role = "cph"))
c(person("Roger", "Bivand", role=c("aut", "cre"), email="Roger.Bivand@nhh.no"), person("Hisaji", "Ono", role="ctb"), person("Richard", "Dunlap", role="ctb"), person("Matthieu", "Stigler", role="ctb"))
c(person("Volodymyr", "Melnykov", role = c("aut", "cre"), email =
"vmelnykov@cba.ua.edu"))
person("Blake", "Seers", role = c("aut", "cre"),
email = "blake.seers@gmail.com")
c(
person("Gabor", "Csardi", , "csardi.gabor@gmail.com", role = c("aut", "cre")),
person("Sindre", "Sorhus", role = "aut")
)
c(person("Gabriel", "Gelius-Dietrich", role = c("aut", "cre"), email = "geliudie@uni-duesseldorf.de"))
c(person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org"),
person("Walter", "Böhm", role = "ctb"))
c(person("Martin","Maechler", role=c("aut","cre"), email="maechler@stat.math.ethz.ch")
,person("Peter", "Rousseeuw", role="aut", email="rousse@uia.ua.ac.be",
comment = "Fortran original")
,person("Anja", "Struyf", role="aut", comment= "S original")
,person("Mia", "Hubert", role="aut", email= "Mia.Hubert@uia.ua.ac.be", comment= "S original")
,person("Kurt", "Hornik", role=c("trl", "ctb"),
email="Kurt.Hornik@R-project.org", comment="port to R; maintenance(1999-2000)")
,person("Matthias", "Studer", role="ctb")
,person("Pierre", "Roudier", role="ctb")
)
c(person("Tibor", "Szkaliczki", role = c("aut", "cre"),
email = "szkaliczki.tibor@sztaki.mta.hu"),
person("J.", "Song", role = "ctb",
email = "joemsong@cs.nmsu.edu"))
person("Justin", "Esarey", , "justin@justinesarey.com", role = c("aut", "cre"))
c(person("Angelos", "Markos", email = "amarkos@gmail.com", role =
c("aut", "cre")), person("Alfonso", "Iodice D' Enza", role = "aut"),
person("Michel", "Van de Velden", role = "aut"))
c(
person('Paul', 'Staab', , 'develop@paulstaab.de', role=c('aut', 'cre', 'cph')),
person('Dirk', 'Metzler', role=c('ths'))
)
c(person("Emmanuel", "Paradis", role = c("aut", "cre", "cph"), email = "Emmanuel.Paradis@ird.fr"))
c(person(given="Birk", family="Diedenhofen",
email="mail@birkdiedenhofen.de", role=c("aut", "cre")))
c(person("Martyn", "Plummer", role=c("aut","cre","trl"),
email="plummerm@iarc.fr"),
person("Nicky", "Best", role="aut"),
person("Kate", "Cowles", role="aut"),
person("Karen", "Vines", role="aut"),
person("Deepayan", "Sarkar", role="aut"),
person("Douglas", "Bates", role="aut"),
person("Russell", "Almond", role="aut"))
c(person(given = c("Gavin", "L."),
family = "Simpson",
role = c("aut","cre"),
email = "ucfagls@gmail.com"),
person(given = "Jari",
family = "Oksanen",
role = "ctb"),
person(given = "Francisco",
family = "Rodriguez-Sanchez",
role = "ctb"))
c(person("Torsten", "Hothorn", role = c("aut", "cre"),
email = "Torsten.Hothorn@R-project.org"),
person("Kurt", "Hornik", role = "aut"),
person("Mark A.", "van de Wiel", role = "aut"),
person("Achim", "Zeileis", role = "aut"))
c(person("Chris", "Wallace", role=c("aut","cre"),
email = "chris.wallace@cimr.cam.ac.uk"),
person("Claudia","Giambartolomei", role="aut",
email="claudia.giambartolomei.10@ucl.ac.uk"),
person("Vincent","Plagnol", role="ctb",
email="v.plagnol@ucl.ac.uk"))
person("Carl", "Ambroselli", email = "colorpalette@carl-ambroselli.de", role = c("aut", "cre"))
c(person(given = "Jose", family = "Gama", role = c("aut","cre"),email = "rxprtgama@gmail.com"))
c(person(given = "Ross", family = "Ihaka", role = "aut", email = "ihaka@stat.auckland.ac.nz"),
person(given = "Paul", family = "Murrell", role = "aut", email = "paul@stat.auckland.ac.nz"),
person(given = "Kurt", family = "Hornik", role = "aut", email = "Kurt.Hornik@R-project.org"),
person(given = c("Jason", "C."), family = "Fisher", role = "aut", email = "jfisher@usgs.gov"),
person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"))
c(person("Max", "Leiserson", role = c("aut", "cre"),
email = "mdml@cs.brown.edu"),
person("Hsin-Ta", "Wu", role = "aut",
email = "bournewu@cs.brown.edu"),
person("Fabio", "Vandin", role = "ctb",
email = "vandinfa@cs.brown.edu"),
person("Vivian", "Hsiao", role = "ctb"),
person("Benjamin", "Raphael", role = "ctb",
email = "braphael@cs.brown.edu"))
c(
person("Jeroen", "Ooms", ,"jeroen.ooms@stat.ucla.edu", role = c("aut", "cre")),
person("John MacFarlane", role = "cph", comment = "Author of cmark")
)
c(person("Albert", "Chen", role = c("aut", "cre"),
email = "acc2015@stanford.edu"),
person(c("Timothy", "E"), 	"Sweeney", role = "aut",
email = "tes17@stanford.edu"),
person("Olivier", "Gevaert", role = "ths",
email = "ogevaert@stanford.edu"))
c(person("Gen", "Nowak", role = c("aut","cre"), email = "gen.nowak@gmail.com"), person("Robert", "Tibshirani", role = "aut"))
c(person("Ravi", "Varadhan", role = c("aut", "cre"),
email = "ravi.varadhan@jhu.edu"))
c(person(given = c("Willem", "M.", "G.", "M."), family = "van Loon",
email = "willem.van.loon@rws.nl", role = c("aut", "cph")),
person(given = c("Dennis", "J.", "J."), family = "Walvoort",
email = "dennis.Walvoort@wur.nl", role = c("aut", "cre")))
"C. Tristan Stayton <tstayton@bucknell.edu> [aut, cre]"
person("Mark D.", "Risser", email = "markdrisser@gmail.com",
role = c("aut", "cre"))
person("Max", "Sommerfeld",
email = "max.sommerfeld@mathematik.uni-goettingen.de",
role = c("aut", "cre"))
c(person("Clement", "THERY", role = c("aut", "cre"),
email = "monsieur.thery@therysolutions.com"),
person("Christophe", "BIERNACKI", role = "ctb"),
person("Gaetan", "LORIDANT", role = "ctb"),
person("Florian", "WATRIN", role = "ctb"),
person("Quentin", "GRIMONPREZ", role = "ctb"),
person("Vincent", "KUBICKI", role = "ctb"),
person("Samuel", "BLANCK", role = "ctb"),
person("Jeremie","KELLNER",role="ctb")
)
person("Jim", "Hester", email = "james.f.hester@gmail.com", role = c("aut", "cre"))
c( person("Claus O.", "Wilke", role = c("aut", "cre"), email =
"wilke@austin.utexas.edu"), person("Hadley", "Wickham", role = c("cph"),
email = "h.wickham@gmail.com") )
person(c("Terry", "M."), "Therneau", role=c("aut", "cre"),
email="therneau@mayo.edu")
c(person("Andrey", "Ziyatdinov",
email = "andrey.ziyatdinov@upc.edu", role = c("aut", "cre")),
person("Samir", "Kanaan-Izquierdo", role = "aut"),
person("Nickolay T.", "Trendafilov", role = "aut"),
person("Alexandre", "Perera-Lluna", role = "aut"))
c(person(given =c("Oscar", "A."), family = "Linares", role =
c("aut", "cre"), email = "OALinaresMD@gmail.com"),
person(given =c("David", "T."), family = "Daly", role = "aut",
email = "daviddalysr@att.net"))
person("Gabor", "Csardi", , "csardi.gabor@gmail.com", role = c("aut", "cre"))
c(person(given = "Jakob", family = "Messner", role = c("aut", "cre"), email = "Jakob.Messner@uibk.ac.at"),
person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org"))
c(person("Bertrand", "Le Nezet", role = c("cre","aut", "cph"), email = "bertrand.lenezet@gmail.com" ),
person("Richard", "Brent", role = c("ctb", "cph")),
person("John", "Burkardt", role = c("ctb", "cph")))
c(person("Ling-Yun", "Wu", role = c("aut", "cre"), email =
"wulingyun@gmail.com"))
c(
person("Michael", "Porter", email = "mporter@cba.ua.edu", role = c("aut", "cre")),
person("Brian", "Reich", email = "brian_reich@ncsu.edu", role = "aut"))
c(person(given = "Jeffrey S.", family = "Racine", role = c("aut","cre"), email = "racinej@mcmaster.ca"),
person(given = "Zhenghua", family = "Nie", role = c("aut"), email = "niez@mcmaster.ca"),
person(given = "Brian D.", family = "Ripley", role = c("ctb"), comment = "stepCV.R"))
c(person("Neal", "Richardson", role = c("aut", "cre"),
email = "neal@crunch.io"))
c(person("Alejandro", "Jara", role = c("aut", "cre"), email
= "atjara@uc.cl"), person("Maria Jose", "Garcia-Zattera", role
= "ctb", email = "mjgarcia@uc.cl"))
c( person("Shai", "Shen-Orr", role=c("aut", "cre"),
email="shenorr@technion.ac.il") , person("Rob", "Tibshirani",
role="aut") , person("Narasimhan", "Balasubramanian",
role="aut") , person("David", "Wang", role="aut") ,
person("Renaud Gaujoux", role="ctb",
comment="roxygen/debug/CRAN-compliance") )
c(person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
person(given = "Kurt", family = "Hornik", role = "aut", email = "Kurt.Hornik@R-project.org"))
c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email =
"wccsnow@gmail.com"),
person("Russell", "Zaretzki", role = "aut"),
person("William", "Howell", role = "aut"),
person("Drew", "Schmidt", role = "aut"),
person("Michael", "Gilchrist", role = "aut"),
person("Students", "REU13", role = "ctb"))
c(
person("Jeroen", "Ooms", , "jeroen.ooms@stat.ucla.edu", role = c("cre", "aut")),
person("Hadley", "Wickham", , "hadley@rstudio.com", role = "ctb"),
person("RStudio", role = "cph")
)
c(person("Bob", "Rudis", email = "bob@rudis.net", role = c("aut", "cre")))
c(
person("Joe", "Cheng", role = c("aut", "cre"), email = "joe@rstudio.com"),
person("Tal", "Galili", role = c("aut"), email = "tal.galili@gmail.com"),
person("RStudio, Inc.", role = c("cph")),
person("Michael", "Bostock", role = c("ctb", "cph"), comment = "D3.js library"),
person("Justin", "Palmer", role = c("ctb", "cph"), comment = "d3.tip library")
)
c( person("Paul", "Fitzpatrick", email="paul@robotrebuilt.com", role=c("aut"),
comment="JavaScript original, http://paulfitz.github.io/daff/"),
person("Edwin", "de Jonge", email="edwindjonge@gmail.com", role=c("aut","cre"),
comment="R wrapper"))
c(person("Ali", "Uenlue", email = "ali.uenlue@tum.de", role
= c("aut", "cre")), person("Anatol", "Sargin", email =
"anatol.sargin@generali.de", role = c("aut")))
c(person("Brecht", "Devleesschauwer",
role = c("aut", "cre"),
email = "Brecht.Devleesschauwer@UGent.be"),
person("Scott", "McDonald", role = "aut"),
person("Juanita", "Haagsma", role = "aut"),
person("Nicolas", "Praet", role = "aut"),
person("Arie", "Havelaar", role = "aut"),
person("Niko", "Speybroeck", role = "aut"))
c(
person("Christopher", "Gandrud", email = "christopher.gandrud@gmail.com",
role = c("aut", "cre"))
)
c( person("Robert", "Hirsch", role = c("aut"),
email = "rhirsch@usgs.gov"),
person("Laura", "DeCicco", role = c("aut","cre"),
email = "ldecicco@usgs.gov"),
person("David","Lorenz", role=c("aut"),
email = "lorenz@usgs.gov"))
person("Christofer", "Backlin", role = c("aut", "cre"), email = "christofer.backlin@medsci.uu.se")
c(person("Terry", "Therneau", role = "aut",
email = "therneau@mayo.edu"),
person("Thomas", "Lumley", role = "trl", comment = "R port"),
person("Kjetil", "Halvorsen", role = "trl", comment = "R port"),
person("Kurt", "Hornik", role = c("trl", "ctb", "cre"),
email = "Kurt.Hornik@R-project.org",
comment = "R port"))
c(person(given = "Angelo", family = "Mazza", role = c("aut", "cre"), email = "a.mazza@unict.it"),
person(given = "Antonio", family = "Punzo", role = "aut"))
c(person("Michael", "Hahsler", role = c("aut", "cre", "cph"),
email = "mhahsler@lyle.smu.edu"),
person("Sunil", "Arya", role = c("ctb", "cph")),
person("David", "Mount", role = c("ctb", "cph")))
c(person("Brandon", "Whitcher", role = c("aut", "cre"),
email = "bwhitcher@gmail.com"),
person("Volker", "Schmid", role = "aut",
email="volker.schmid@lmu.de"),
person("Andrew", "Thornton", role = "ctb",
email = "zeripath@gmail.com"))
c(person("Oleksii", "Pokotylo", role=c("aut", "cre"),
email = "alexey.pokotylo@gmail.com"),
person("Pavlo", "Mozharovskyi", role=c("aut"),
email = "mozharovskyi@statistik.uni-koeln.de"),
person("Rainer", "Dyckerhoff", role=c("aut"),
email = "rainer.dyckerhoff@statistik.uni-koeln.de"))
c(person("Efthimios", "Motakis", role=c("aut")),
person("Guy", "Nason", role=c("aut", "cre"),
email="g.p.nason@bristol.ac.uk"),
person("Piotr", "Fryzlewicz", role=c("aut")))
c(person("Adrian", "Dusa", role = c("aut", "cre"),
email = "dusa.adrian@unibuc.ro"))
c(
person("Lutz", "Göhring",  email = "lutz.goehring@gmx.de",  role = c("cre", "aut"), comment="ICRAF and Lutz Göhring Consulting"),
person("Eike", "Luedeling", email = "eike@eikeluedeling.com ", role = "aut", comment="ICRAF"))
person("Thomas", "Lui", , "tlui27@yahoo.com", role = c("aut", "cre"))
c( person("Bastiaan", "Quast", email = "bquast@gmail.com", role =
c("aut", "cre") ), person("Fei", "Wang", role = "aut"), person("Victor",
"Kummritz", role = "aut") )
c(person(given="Avraham", family="Adler", role=c("aut", "cph", "cre"), email="Avraham.Adler@gmail.com"))
c(person("Jussi", "Klemela", role = c("aut", "cre"),
email = "jussi.klemela@gmail.com"),
person("Sauli", "Herrala", role = "ctb"))
c( person( "Sten", "Ilmjarv", role = c( "aut", "cre" ),
email = "sten.ilmjarv@gmail.com"), person( "Hendrik", "Luuk",
role = "aut", email = "hendrik.luuk@gmail.com" ) )
c(person("Tal", "Galili", role = c("aut", "cre", "cph"), email =
"tal.galili@gmail.com", comment = "http://www.r-statistics.com"),
person("Gavin", "Simpson", role = "ctb"), person("Gregory","Jefferis", role
= "ctb", email = "jefferis@gmail.com",
comment ="imported code from his dendroextras package"),
person("Marco", "Gallotta", role = "ctb", comment =
"a.k.a: marcog") , person("Johan", "Renaudie", role = "ctb", comment =
"https://github.com/plannapus"), person("The R Core Team", role = "ctb",
comment = "Thanks for the Infastructure, and code in the examples"),
person("Kurt", "Hornik", role = "ctb"), person("Uwe", "Ligges",
role = "ctb"), person("Andrej-Nikolai", "Spiess", role = "ctb"),
person("Steve", "Horvath",email = "SHorvath@mednet.ucla.edu", role =
"ctb"), person("Peter", "Langfelder",email = "Peter.Langfelder@gmail.com",
role = "ctb"), person("skullkey", role = "ctb"), person("Mark",
"Van Der Loo", email = "mark.vanderloo@gmail.com", comment =
"https://github.com/markvanderloo d3dendrogram", role = "ctb"),
person("Andrie",
"de Vries", email = "apdevries@gmail.com", comment =
"ggdendro author", role = "ctb"),
person("Zuguang",
"Gu", email = "z.gu@dkfz-heidelberg.de", comment =
"circlize author", role = "ctb"),
person("Yoav", "Benjamini", role = "ths"))
c(person("Tal", "Galili", role = c("aut", "cre", "cph"), email =
"tal.galili@gmail.com", comment = "http://www.r-statistics.com"),
person("Romain", "Francois", role = "ctb"), person("Dirk", "Eddelbuettel",
role = "ctb"), person("Kevin", "Ushey", role = "ctb"),
person("Yoav", "Benjamini", role = "ths"))
c(
person("James","Ware",email="j.ware@imperial.ac.uk",role=c("aut","cre")),
person("Jason","Homsy",role="ctb"),
person("Kaitlin","Samocha",role="ctb")
)
c(person("David", "Ardia", role = c("aut")), person("Katharine", "Mullen", role = c("aut", "cre"), email="mullenkate@gmail.com"), person("Brian", "Peterson", role = "aut"), person("Joshua", "Ulrich", role = "aut"), person("Kris", "Boudt", role = "ctb"))
c(person(given="Andrew", family="Clausen", role="aut"),
person(given="Serguei", family="Sokol", role=c("aut", "cre"),
email="sokol@insa-toulouse.fr"))
c(person("Karline","Soetaert", role = c("aut"),
email = "karline.soetaert@nioz.nl"),
person("Thomas","Petzoldt", role = c("aut", "cre"),
email = "thomas.petzoldt@tu-dresden.de"),
person("R. Woodrow","Setzer", role = c("aut"),
email = "setzer.woodrow@epa.gov"),
person("odepack authors", role = "cph"))
c(person("Arnak", "Dalalyan", role = c("aut"),
email = "Arnak.Dalalyan@ensae.fr"),
person("Samuel", "Balmand", role = c("aut","cre"),
email = "Samuel.Balmand@ensg.eu"))
c(person("Karline","Soetaert", role = c("aut","cre"),
email = "karline.soetaert@nioz.nl"),
person("Jeff","Cash", role = "aut",
email = "j.cash@imperial.ac.uk"),
person("Francesca","Mazzia", role = "aut",
email = "mazzia@dm.uniba.it"),
person("LAPACK authors", role = "cph"))
c(person("Vakili", "Kaveh", role = c("aut", "cre"),
email = "vakili.kaveh.email@gmail.com"),
person("Mia", "Hubert", role = "ths",
email = "mia.hubert@wis.kuleuven.be"))
c(
person("Hadley", "Wickham", , "hadley@rstudio.com", role = c("aut", "cre")),
person("Winston", "Chang", role = "aut"),
person("RStudio", role = "cph"),
person("R Core team", role = "ctb",
comment = "Some namespace and vignette code extracted from base R")
)
person("Bastiaan", "Quast", email = "bquast@gmail.com", role = c("aut", "cre"))
c(
person("Knut", "Sveidqvist", role = c("aut", "cph"), comment = "mermaid.js
library in htmlwidgets/lib, http://github.com/knsv/mermaid/"),
person("Mike", "Bostock", role = c("aut", "cph"), comment = "d3.js
library in htmlwidgets/lib, http://d3js.org"),
person("Chris", "Pettitt", role = c("aut", "cph"), comment = "dagre-d3.js
library in htmlwidgets/lib, http://github.com/cpettitt/dagre-d3"),
person("Mike", "Daines", role = c("aut", "cph"), comment = "viz.js
library in htmlwidgets/lib, http://github.com/mdaines/viz.js/"),
person("Richard", "Iannone", role = c("aut", "cre"), comment = "R
interface", email = "riannone@me.com")
)
c(person(given = "Thomas", family = "Lumley", role =
c("aut", "cre"), email = "tlumley@u.washington.edu"),
person(given = "Ken", family = "Knoblauch", role = "ctb", email
= "ken.knoblauch@inserm.fr"), person(given = "Scott", family =
"Waichler", role = "ctb", email = "scott.waichler@pnl.gov"),
person(given = "Achim", family = "Zeileis", role = "ctb", email
= "Achim.Zeileis@R-project.org"))
person("Baptiste", "Auguie", email = "baptiste.auguie@gmail.com",
role = c("aut", "cre"), comment = "the original data have their original
source listed in the help file.")
person(given  = c("Marco", "Johannes"),
family = "Maier",
email  = "marco.maier@wu.ac.at",
role   = c("cre", "aut"))
c(person("Ruth", "Heller", role = "aut"), person("Hadas",
"Gur", role = "aut"), person("Shay", "Yaacoby", role =
c("aut","cre"),email = "shay66@gmail.com"))
c(
person("Andreas", "Buja", email = "buja.at.wharton@gmail.com", role = "aut"),
person("Eric", "Hare", email = "erichare@iastate.edu", role = c("aut", "cre")),
person("Heike", "Hofmann", email = "hofmann@iastate.edu", role = "aut"))
c(
person("Gaston", "Sanchez",
email = "gaston.stat@gmail.com", role = c("aut", "cre")),
person("Charles", "Determan", role = "ctb"))
c(person("Balasubramanian", "Narasimhan", role=c("aut", "cre"),
email = "naras@stat.Stanford.EDU"),
person("Marina", "Bendersky", role=c("aut")),
person("Sam", "Gross", role=c("aut")),
person(c("Terry", "M."), "Therneau", role=c("ctb")),
person("Thomas", "Lumley", role=c("ctb")))
c(person("Florian", "Camphausen", role=c("aut")),
person("Matthias", "Kohl", role=c("aut", "cph")),
person("Peter", "Ruckdeschel", role=c("cre", "cph"), email="Peter.Ruckdeschel@itwm.fraunhofer.de"),
person("Thomas", "Stabla", role=c("aut", "cph")),
person("R Core Team", role = c("ctb", "cph"),
comment="for source file ks.c/ routines 'pKS2' and 'pKolmogorov2x'"))
c(person("Florian", "Camphausen", role="ctb", comment="contributed as student to the documented packages in the initial phase --2005"),
person("Matthias", "Kohl", role=c("aut", "cph")),
person("Peter", "Ruckdeschel", role=c("cre", "cph"), email="Peter.Ruckdeschel@itwm.fraunhofer.de"),
person("Thomas", "Stabla", role="ctb", comment="contributed as student to the documented packages in the initial phase --2005"))
c(person("Zhilong", "Jia", role =c("aut", "cre"),
email="zhilongjia@gmail.com"),
person("Xiang", "Zhang", role = "aut", email="zhangxiang_43@aliyun.com"))
c( person(c("A.", "Jonathan", "R."), "Godfrey", role=c("aut", "cre"), email="a.j.godfrey@massey.ac.nz"), person("K. (Raj)", "Govindaraju", role="aut", email="k.govindaraju@massey.ac.nz"))
c(person("Ulrike", "Groemping", role = c("aut", "cre"), email =
"groemping@beuth-hochschule.de"), person("Boyko", "Amarov", role = "ctb"),
person("Hongquan", "Xu", role = "ctb"))
c(person("Ulrike", "Groemping", role = c("aut", "cre"), email =
"groemping@beuth-hochschule.de"), person("Lenth", "Russ", role = "ctb"))
c( person("Konstanze", "Krueger", role = "aut", email = "konstanze.Krueger@hfwu"),
person("Knut", "Krueger", role = c("cre","aut"),email = "Knut.Krueger@equine-science.de")
)
"Gabor Csardi <csardi.gabor@gmail.com> [aut, cre]"
c(person("Michal", "Burdukiewicz", email =
"michalburdukiewicz@gmail.com", role = c("cre", "aut")),
person("Stefan", "Roediger", email = "stefan.roedigier@b-tu.de", role = "aut"),
person("Bart", "Jacobs", email = "BartKM.Jacobs@ugent.be", role = "aut"),
person("Piotr", "Sobczyk", email = "sobbombo@gmail.com", role = "ctb"))
c(person("Andy", "Bunn", role = c("aut", "cph",
"cre", "trl"), email = "andy.bunn@wwu.edu"), person("Mikko",
"Korpela", role = c("aut", "trl")), person("Franco", "Biondi",
role = c("aut", "cph")), person("Filipe", "Campelo", role =
c("aut", "cph")), person("Pierre", "Mérian", role = c("aut",
"cph")), person("Fares", "Qeadan", role = c("aut", "cph")),
person("Christian", "Zang", role = c("aut", "cph")),
person("Allan", "Buras", role = "ctb"), person("Jacob",
"Cecile", role = "ctb"), person("Manfred", "Mudelsee", role =
"ctb"), person("Michael", "Schulz", role = "ctb"))
c(
person("Hadley", "Wickham", , "hadley@rstudio.com", c("aut", "cre")),
person("Romain", "Francois", , "romain@r-enthusiasts.com", role = "aut"),
person("RStudio", role = "cph")
)
c(person("Alejandro", "Jara", role = c("aut", "cre"), email
= "atjara@uc.cl"), person("Timothy", "Hanson", role = "ctb",
email = "hansont@stat.sc.edu"), person("Fernando", "Quintana",
role = "ctb", email = "quintana@mat.puc.cl"), person("Peter",
"Mueller", role = "ctb", email = "pmueller@math.utexas.edu"),
person("Gary", "Rosner", role = "ctb", email =
"grosner@jhmi.edu"))
c(person("Johannes", "Ranke", role = c("aut", "cre"),
email = "jranke@uni-bremen.de"))
as.person(c('Matthias Bannert <bannert@kof.ethz.ch> [aut,
cre]','Ulf-Dietrich Reips <reips@uni-konstanz.de> [aut]'))
c(person("Greg", "Hixon", role = c("aut", "cph"),
email = "ghixon@toxstrategies.com"),
person("Anne", "Bichteler", role = c("aut","cre"),
email = "abichteler@toxstrategies.com"),
person("Chad", "Thompson", role = "ctb",
email = "cthompson@toxstrategies.com"),
person("Liz", "Abraham", role = "ctb",
email = "labraham@toxstrategies.com"))
c(person(given = "Chel Hee", family = "Lee", role = c("aut", "cre"), email="gnustats@gmail.com"),
person(given = "Liqun", family = "Wang", role = c("aut"), email="liqun.wang@umanitoba.ca"))
c(person("Ingo", "Feinerer", role = "aut"), person("Stefan", "Theussl", role = c("aut", "cre"), email = "Stefan.Theussl@R-project.org"), person("Christian", "Buchta", role = "ctb"))
c(
person("Yihui", "Xie", email = "xie@yihui.name", role = c("aut", "cre")),
person("Joe", "Cheng", email = "joe@rstudio.com", role = c("ctb")),
person("jQuery contributors", role = c("ctb", "cph"), comment = "jQuery in htmlwidgets/lib"),
person("SpryMedia Limited", role = c("ctb", "cph"), comment = "DataTables in htmlwidgets/lib"),
person("Brian", "Reavis", role = c("ctb", "cph"), comment = "selectize.js in htmlwidgets/lib"),
person("Leon", "Gersen", role = c("ctb", "cph"), comment = "noUiSlider in htmlwidgets/lib"),
person("Bartek", "Szopka", role = c("ctb", "cph"), comment = "jquery.highlight.js in htmlwidgets/lib"),
person("RStudio Inc", role = "cph")
)
c(person("Karsten", "Tabelow", role = c("aut", "cre"),
email = "karsten.tabelow@wias-berlin.de"),
person("Joerg", "Polzehl", role = c("aut"),
email = "joerg.polzehl@wias-berlin.de"),
person("Felix", "Anker", role = c("ctb")))
c(person("Xinyu", "Tang", role = c("aut", "cre"),
email = "xtang@uams.edu"),
person("Maria", "Melguizo", role = "aut",
email = "msmelguizo@uams.edu"))
c(person("Daniel", "Wollschlaeger", role = c("aut", "cre"), email = "wollschlaeger@uni-mainz.de"),
person("Heiko", "Karle", role="aut"), person("Heinz", "Schmidberger", role="ctb"))
c(
person("Dan", "Vanderkam", role = c("aut", "cph"),
comment = "dygraphs library in htmlwidgets/lib, http://dygraphs.com/"),
person("JJ", "Allaire", role = c("aut", "cre"),
comment = "R interface", email = "jj@rstudio.com"),
person(family = "RStudio", role = "cph"),
person(family = "jQuery Foundation", role = "cph",
comment = "jQuery library"),
person(family = "jQuery contributors", role = c("ctb", "cph"),
comment = "jQuery library; authors listed in inst/htmlwidgets/lib/jquery/AUTHORS.txt")
)
c(person("Jaime", "Egido", role=c("aut","cre"),
email = "jegido@usal.es"))
person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org")
c(
person("Christopher", "Gandrud", email = "christopher.gandrud@gmail.com",
role = c("aut", "cre")),
person("Laron K.", "Williams", role = "aut"),
person("Guy D.", "Whitten", role = "aut")
)
c(person(given = "David", family = "Meyer", role = c("aut", "cre"), email = "David.Meyer@R-project.org"),
person(given = "Evgenia", family = "Dimitriadou", role = c("aut","cph")),
person(given = "Kurt", family = "Hornik", role = "aut"),
person(given = "Andreas", family = "Weingessel", role = "aut"),
person(given = "Friedrich", family = "Leisch", role = "aut"),
person(given = "Chih-Chung", family = "Chang", role = c("ctb","cph"), comment = "libsvm C++-code"),
person(given = "Chih-Chen", family = "Lin", role = c("ctb","cph"), comment = "libsvm C++-code"))
c(person("Karthik", "Ram", role = c("aut", "cre"), email =
"karthik.ram@gmail.com"))
c(person("Daniel", "McGlinn", role = c("aut", "cre"),
email = "danmcglinn@gmail.com"),
person("Ethan", "White", role = "aut",
email = "ethan@weecology.org"))
c(person("Nick", "Gotelli", role = c("aut"),
email = "ngotelli@uvm.edu"),
person("Edmund", "Hart", role = c("aut","cre"),
email = "edmund.m.hart@gmail.com"),
person("Aaron", "Ellison", role = c("aut"),
email = "aellison@fas.harvard.edu") )
c(person(given="Sheng", family="Li", role=c("aut","cre", "cph"), email = "shelly1436@gmail.com"),
person(given="Francine", family="Garrett-Bakelman", role="ctb"),
person(family="Akalin", given="Altuna", role="ctb"),
person(family="Zumbo", given="Paul", role="ctb"),
person(family="Melnick", given="Ari", role="ctb"),
person(family="Mason", given="Chris", role=c("ctb","ths")))
c(person(c("Jason", "P."), "Becker", role = c("ctb"),
email = "jason+sitemail@jbecker.co"),
person(c("Jared", "E."), "Knowles", role=c("aut", "cre"),
email="jknowles@gmail.com"))
c(person("Andrew", "Zammit-Mangion", role = c("aut", "cre"),
email = "andrewzm@gmail.com"),
person("Hsin-Cheng", "Huang", role = "aut"))
c(person("Axel", "Mayer", role=c("aut","cre"),
email="amayer2010@gmail.com"),
person("Lisa", "Dietzfelbinger", role=c("ctb"),
email="lisa.dietzfelbinger@uni-jena.de"))
c(person("John", "Fox", role = c("aut", "cre"), email = "jfox@mcmaster.ca"),
person("Sanford", "Weisberg", role = "aut", email = "sandy@umn.edu"),
person("Michael", "Friendly", role = "aut", email = "friendly@yorku.ca"),
person("Jangman", "Hong", role = "aut"),
person("Robert", "Andersen", role = "ctb"),
person("David", "Firth", role = "ctb"),
person("Steve", "Taylor", role = "ctb"))
c(person("Marco", "Torchiano", role = c("aut", "cre"),
email="marco.torchiano@polito.it"))
c(
person("Daniel", "Schmolze",
email="ega@schmolze.com", role=c("aut", "cre"))
)
c(person("Michaela", "Paul", role = c("aut"),
email = "michaela.paul@uzh.ch"),
person("Reinhard", "Furrer", role = c("cre", "ctb"),
email = "reinhard.furrer@math.uzh.ch"))
c( person("Robert", "Hirsch", role = c("aut"),
email = "rhirsch@usgs.gov"),
person("Laura", "DeCicco", role = c("aut","cre"),
email = "ldecicco@usgs.gov"))
c(person("Göran", "Broström", role = c("aut", "cre"),
email = "goran.brostrom@umu.se"))
person("Scott", "Chamberlain", role = c("aut", "cre"),
email = "myrmecocystus@gmail.com")
c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email =
"wccsnow@gmail.com"),
person("Ranjan", "Maitra", role = "aut"),
person("Volodymyr", "Melnykov", role = "aut"))
c(
person("Christofer", "Backlin", role = c("aut", "cre"), email = "emil@christofer.backlin.se"),
person("Mats", "Gustafsson", role = "aut")
)
c(person(given = "Erich", family = "Neuwirth", role =
c("aut", "cre"), email = "erich.neuwirth@univie.ac.at"))
c(person("Bendix", "Carstensen", role = c("aut", "cre"),
email = "bxc@steno.dk"),
person("Martyn", "Plummer", role = "aut",
email = "plummerm@iarc.fr"),
person("Esa", "Laara", role = "ctb"),
person("Michael", "Hills", role = "ctb"))
c(
person("Maria", "Noremark", role = c("aut")),
person("Stefan", "Widgren", role = c("aut", "cre"),
email = "stefan.widgren@gmail.com"))
c(person(given='Oswaldo', family='Santos Baquero',
email='oswaldosant@gmail.com', role=c("aut", "cre")),
person(given='Fernando', family='Silveira Marques',
email='fernandosix@gmail.com', role="aut"))
c(person("Samuel", "Jenness",
role=c("cre","aut"), email="sjenness@uw.edu"),
person("Steven M.","Goodreau",
role=c("aut"), email="goodreau@uw.edu"),
person("Martina", "Morris",
role=c("aut"), email="morrism@uw.edu"),
person("Emily", "Beylerian",
role=c("ctb"), email="ebey@uw.edu"),
person("Li", "Wang",
role=c("ctb"), email="lxwang@uw.edu"))
c(person("Chris", "Groendyke", role = c("aut", "cre"), email = "cgroendyke@gmail.com"),
person("David", "Welch", role = "aut", email = "david.welch@auckland.ac.nz"),
person("David", "Hunter", role = "ctb", email = "dhunter@stat.psu.edu"))
person("Denis", "Haine", email = "denis.haine@gmail.com",
role = c("aut", "cre"))
c(person("Tomas J. Aragon", "Developer", role = c("aut",
"cre"), email = "aragon@berkeley.edu"), person("Michael P.
Fay", "User", role = "ctb", email = "mfay@niaid.nih.gov"),
person("Daniel Wollschlaeger", "User", role = "ctb", email =
"dwoll@psychologie.uni-kiel.de"))
c(
person("Mark S.", "Handcock", role=c("aut"), email="handcock@stat.ucla.edu"),
person("David R.", "Hunter", role=c("aut"), email="dhunter@stat.psu.edu"),
person("Carter T.", "Butts", role=c("aut"), email="buttsc@uci.edu"),
person("Steven M.", "Goodreau", role=c("aut"), email="goodreau@u.washington.edu"),
person("Pavel N.", "Krivitsky", role=c("aut","cre"), email="pavel@uow.edu.au"),
person("Martina", "Morris", role=c("aut"), email="morrism@u.washington.edu"),
person("Li","Wang",role=c("ctb"),email="lxwang@gmail.com"),
person("Kirk","Li",role=c("ctb"),email="kirkli@uw.edu"))
c(
person("Pavel N.", "Krivitsky", role=c("aut","cre"), email="pavel@uow.edu.au"),
person("Mark S.", "Handcock", role=c("ctb"), email="handcock@stat.ucla.edu"),
person("David R.", "Hunter", role=c("ctb"), email="dhunter@stat.psu.edu"))
c( person("Omer Nebil", "Yaveroglu", role=c("aut", "cre"), email="o.yaveroglu10@imperial.ac.uk"),
person("Sean M.", "Fitzhugh", role=c("aut"), email="sean.fitzhugh@uci.edu"),
person("Maciej", "Kurant", role=c("aut"), email="maciej.kurant@gmail.com"),
person("Athina", "Markopoulou", role=c("aut"), email="athina@uci.edu"),
person("Natasa", "Przulj", role=c("aut"), email="natasha@imperial.ac.uk"),
person("Carter T.", "Butts", role=c("aut"), email="buttsc@uci.edu"))
c(
person("Mark S.", "Handcock", role=c("aut"), email="handcock@stat.ucla.edu"),
person("David R.", "Hunter", role=c("aut"), email="dhunter@stat.psu.edu"),
person("Carter T.", "Butts", role=c("aut"), email="buttsc@uci.edu"),
person("Steven M.", "Goodreau", role=c("aut"), email="goodreau@u.washington.edu"),
person("Pavel N.", "Krivitsky", role=c("aut","cre"), email="pavel@uow.edu.au"),
person("Martina", "Morris", role=c("aut"), email="morrism@u.washington.edu"))
c(person(given="Patrick", family="Mair", email="mair@fas.harvard.edu", role=c("cre","aut")),
person(given="Reinhold", family="Hatzinger", role="aut"),
person(given=c("Marco", "J."), family="Maier", email="marco.maier@wu.ac.at", role="aut"),
person(given="Thomas", family="Rusch", email="thomas.rusch@wu.ac.at", role="ctb"))
c(person(c("Art", "B."), "Owen", role = c("aut")), person("Jingshu", "Wang", email = "wangjingshususan@gmail.com", role = c("aut", "cre")) )
c(person("Marcello", "Chiodi", role = c("aut", "cre"),
email = "marcello.chiodi@unipa.it"),
person("Giada", "Adelfio", role = c("aut"),
email = "giada.adelfio@unipa.it"))
c(
person("Lahti", "Leo", email = "louhos@googlegroups.com", role = c("aut", "cre")),
person("Biecek", "Przemyslaw" , role = "aut"),
person("Kainu", "Markus", role = "aut"),
person("Huovari", "Janne", role = "aut"))
c(person("Hadley", "Wickham", role = "aut"), person("Yihui", "Xie",
role = c("cre", "ctb"), email = "xie@yihui.name"), person("Barret",
"Schloerke", role = "ctb"))
c(person("Bernhard", "Pfaff", email =
"bernhard@pfaffikus.de", role = c("aut", "cre")),
person("Alexander", "McNeil", email = "mcneil@math.ethz.ch",
role = "aut", comment = "S original (EVIS)"), person("Alec",
"Stephenson", email = "alec_stephenson@hotmail.com", role =
"trl", comment = "R port of EVIS"))
person("Geir H.", "Bolstad", email = "geir.bolstad@nina.no",
role = c("aut", "cre"))
c(person(given = "Thomas", family = "Grubinger", role = c("aut", "cre"), email = "Thomas.Grubinger@scch.at"),
person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org"),
person(given = "Karl-Peter", family = "Pfeiffer", role = "aut", email = "Karl-Peter.Pfeiffer@i-med.ac.at"))
c(person("Torsten", "Hothorn", role = c("aut", "cre"),
email = "Torsten.Hothorn@R-project.org"),
person("Kurt", "Hornik", role = "aut"))
c(person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
person(given = "Bettina", family = "Gruen", role = "aut", email = "Bettina.Gruen@jku.at"),
person(given = "Friedrich", family = "Leisch", role = "aut", email = "Friedrich.Leisch@R-project.org"),
person(given = "Nikolaus", family = "Umlauf", role = "aut", email = "Nikolaus.Umlauf@uibk.ac.at"),
person(given = "Dominik", family = "Ernst", role = "ctb", email = "Dominik.Ernst@boku.ac.at"))
c(person("Bryan", "Hanson", role = c("aut", "cre"), email =
"hanson@depauw.edu"), person("Kristina", "Mulry", role = "ctb"))
c(person("Fabian", "Sobotka", role = "cre", email = "fabian.sobotka@wiwi.uni-goettingen.de"),
person("Sabine", "Schnabel", role = "aut", email = "sabine.schnabel@wur.nl"),
person("Linda", "Schulze Waltrup", role = "aut", email = "lschulze_waltrup@stat.uni-muenchen.de"),
person("Paul", "Eilers", role = "ctb", email = "p.eilers@erasmusmc.nl"),
person("Thomas", "Kneib", role = "ths", email = "tkneib@uni-goettingen.de"),
person("Goeran", "Kauermann", role = "ctb", email = "goeran.kauermann@stat.uni-muenchen.de"))
c(person("Roger B.", "Sidje", email =
"roger.b.sidje@ua.edu", role = c("aut", "cph")), person("Niels
Richard", "Hansen", email = "Niels.R.Hansen@math.ku.dk", role =
c("aut", "cre", "cph")) )
as.person(c(
"Reinhard Simon (CIP) <R.SIMON@CGIAR.ORG> [aut, cre]",
"David M. Spooner (USDA) [aut]",
"International Potato Center [cph]"))
c(
person("Ray", "Baser", email="ray.stats@gmail.com", role=c("aut", "cre")),
person("Ayelet", "Greenberg", email="greenberg613@gmail.com", role="ctb"))
c(
person("Phil", "Chalmers",
email = "rphilip.chalmers@gmail.com", role = c("aut", "cre")))
person("Daniel", "Müllner", email = "daniel@danifold.net", role = c("aut", "cph", "cre"))
person("Kaveh", "Vakili", email =  "vakili.kaveh.email@gmail.com", role = c("aut", "cre"))
person("Kaveh", "Vakili", email =
"vakili.kaveh.email@gmail.com", role = c("aut", "cre"))
c(person("Dayne", "Batten", email = "dbatten@bandwidth.com", role = c("aut", "cre")), person(c("Maja", "Pohar", "Perme"), role="ctb", email="maja.pohar@mf.uni-lj.si"), person("Mette", "Gerster", role = "ctb", email="mgerster@health.sdu.dk"))
c(person("Erik", "Peter", email = "jerikpeter@googlemail.com",
role = c("aut", "cre")))
c(person("Manuel Febrero Bande",role="aut", email = "manuel.febrero@usc.es"), person("Manuel Oviedo de la Fuente",role=c("aut","cre"), email="manuel.oviedo@usc.es"),
person("Pedro Galeano",role="ctb"),
person("Alicia Nieto",role="ctb"),
person("Eduardo Garcia-Portugues",role="ctb"))
c(
person("Wush", "Wu", email = "wush978@gmail.com", role = c("aut", "cre")),
person("Michael", "Benesty", email = "michael@benesty.fr", role = c("aut", "ctb")))
c(person("Ali", "Uenlue", email = "ali.uenlue@tum.de", role
= c("aut", "cre")), person("Thomas", "Kiefer", email =
"t.kiefer@bifie.at", role = c("aut", "trl"), comment = "Based
on original MATLAB source by Ehtibar N. Dzhafarov."))
person("Pablo", "Saz Parkinson", email = "sazpark2@gmail.com", role = c("aut", "cre"))
c( person(c('David', 'V.'), 'Dias', role = c('aut', 'cre'),
email = 'dvdscripter@gmail.com') )
c( person("Douglas", "Nychka", role = c("aut", "cre"),
email = "nychka@ucar.edu"),
person("Reinhard", "Furrer", role = c("aut"),
email = "reinhard.furrer@math.uzh.ch"),
person("Stephan", "Sain", role = "aut",
email = "ssain@ucar.edu"))
person("Yachen", "Yan", email = "yanyachen21@gmail.com", role = c("aut", "cre"))
c(person(given  = 'Benjamin',
family = 'Baumgartner',
email  = 'benjamin@baumgrt.com',
role   = c('aut', 'cre')),
person(given  = 'Riccardo',
family = 'Gatto',
email  = 'gatto@stat.unibe.ch',
role   = c('ctb', 'ths')))
c(person("Marie Laure", "Delignette-Muller", role = c("aut", "cre"), email= "marielaure.delignettemuller@vetagro-sup.fr"),person("Christophe", "Dutang", role = "aut", email = "christophe.dutang@univ-lemans.fr"),person("Regis", "Pouillot", role = "ctb", email = "rpouillot@yahoo.fr"),person("Jean-Baptiste", "Denis", role = "ctb", email = "jbdenis@jouy.inra.fr"))
c(person(given="Friedrich", family="Leisch",
email="Friedrich.Leisch@R-project.org", role=c("aut", "cre")),
person(given="Evgenia", family="Dimitriadou", role="ctb"))
c(person("Bettina", "Gruen", role = c("aut", "cre"),
email = "Bettina.Gruen@jku.at"),
person("Friedrich", "Leisch", role = "aut"),
person("Deepayan", "Sarkar", role = "ctb"),
person("Frederic", "Mortier", rol = "ctb"),
person("Nicolas", "Picard", rol = "ctb"))
c(person("Stephen", "Oswald", role = c("aut", "cre"),
email = "steve.oswald@psu.edu"))
c(person("Gen", "Nowak", role = c("aut","cre"), email = "gen.nowak@gmail.com"), person("Trevor", "Hastie", role = "aut"), person(c("Jonathan", "R."), "Pollack", role = "aut"), person("Robert", "Tibshirani", role = "aut"), person("Nicholas", "Johnson", role = "aut"))
c(
person("Timothée", "Giraud", email = "timothee.giraud@ums-riate.fr", role = c("cre","aut")),
person("Laurent", "Beauguitte", email = "laurent.beauguitte@univ-rouen.fr", role = c("aut")),
person("Marianne", "Guérois", email = "guerois@parisgeo.cnrs.fr", role = c("ctb")))
c(person("Karsten", "Tabelow", role = c("aut", "cre"),
email = "tabelow@wias-berlin.de"),
person("Joerg", "Polzehl", role = c("aut"),
email = "polzehl@wias-berlin.de"),
person("Brandon", "Whitcher", role = c("ctb")))
c(
person("R Core Team",
email = "R-core@R-project.org", role = c("aut", "cph", "cre")),
person("Roger", "Bivand", role = c("ctb", "cph")),
person(c("Vincent", "J."), "Carey", role = c("ctb", "cph")),
person("Saikat", "DebRoy", role = c("ctb", "cph")),
person("Stephen", "Eglen", role = c("ctb", "cph")),
person("Rajarshi", "Guha", role = c("ctb", "cph")),
person("Nicholas", "Lewin-Koh", role = c("ctb", "cph")),
person("Mark", "Myatt", role = c("ctb", "cph")),
person("Ben", "Pfaff", role = "ctb"),
person("Brian", "Quistorff", role = "ctb"),
person("Frank", "Warmerdam", role = c("ctb", "cph")),
person("Stephen", "Weigand", role = c("ctb", "cph")),
person("Free Software Foundation, Inc.", role = "cph"))
c(person(given = "Max",
family = "Gordon",
role = c("aut", "cre"),
email = "max@gforge.se"),
person(given = "Thomas",
family = "Lumley",
role = c("aut", "ctb")))
c(person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
person(given = "Yves", family = "Croissant", role = "aut", email = "Yves.Croissant@univ-reunion.fr"))
c(
person(c("Alex", "M"), "Chubaty", email="achubaty@NRCan.gc.ca",
role=c("aut", "cre")),
person("Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada",
role="cph")
)
c(person("Bernhard", "Pfaff", email =
"bernhard@pfaffikus.de", role = c("aut", "cre")),
person("Miguel Sousa", "Lobo", email =
"mlobo@isl.stanford.edu", role = "ctb", comment = "SOCP"),
person("Lieven", "Vandenberghe", email =
"vandenbe@isl.stanford.edu", role = "ctb", comment = "SOCP"),
person("Stephen", "Boyd", email = "boyd@isl.stanford.edu", role
= "ctb", comment = "SOCP"), person("Herve", "Lebret", role =
"ctb", comment = "SOCP"))
person("Paul", "Hendricks", , "paul.hendricks.2013@owu.edu", c("aut", "cre"))
c(person("John", "Dziak",
role = c("aut", "cre"),
email = "jjd264@psu.edu"),
person("Mariya", "Shiyko",
role = "aut",
email = "M.Shiyko@neu.edu"))
c(
person("Carlos A.", "Rabelo", role = c("aut", "cre"),
email = "carabelo@gmail.com"),
person("Pablo J.", "Villacorta", role = c("ctb"),
email = " pjvi@decsai.ugr.es"))
c(
person("Marek", "Gagolewski", role = c("aut", "cre"),
email = "gagolews@rexamine.com"),
person("Jan", "Caha", role = "ctb",
email = "jan.caha@klikni.cz"))
c(
person("Marta", "Sestelo",email= "sestelo@uvigo.es", role = c("aut", "cre")),
person("Nora", "M. Villanueva",email= "nmvillanueva@uvigo.es", role = "aut"),
person("Javier", "Roca-Pardinas",email= "roca@uvigo.es", role = "aut"))
c(person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
person(given = "Ajay", family = "Shah", role = "ctb"),
person(given = "Ila", family = "Patnaik", role = "ctb"),
person(given = "Anmol", family = "Sethy", role = "ctb"))
c(person("Luca", "Scrucca", role = "aut"),
person("Baljinder K.", "Sahdra", role = c("aut", "cre"),
email = "baljinder.sahdra@acu.edu.au"))
c(person(c("Curtis", "S."), "Signorino", role = "aut"),
person("Brenton", "Kenkel", role = c("aut", "cre"),
email = "brenton.kenkel@gmail.com"))
c(person("Mikis", "Stasinopoulos", role = c("aut", "cre", "cph"),
email = "d.stasinopoulos@londonmet.ac.uk"),
person("Bob", "Rigby", role = c("aut"),
email = "r.rigby@londonmet.ac.uk" ),
person("Vlasios", "Voudouris", role = "ctb"),
person("Calliope", "Akantziliotou", role = "ctb"),
person("Marco", "Enea", role = "ctb")
)
c(person("Fernanda", "De Bastiani", role = c("aut", "cre", "cph"), email = "fernandadebastiani@gmail.com"),
person("Mikis", "Stasinopoulos", role = c("aut"),
email = "d.stasinopoulos@londonmet.ac.uk"),
person("Bob", "Rigby", role = c("aut"),
email = "r.rigby@londonmet.ac.uk" )
)
person("Jennifer", "Bryan", email = "jenny@stat.ubc.ca",
role = c('aut', 'cre'))
c(person("Lincoln", "Mullen", role = c("aut", "cre"),
email = "lincoln@lincolnmullen.com"),
person("Cameron", "Blevins", role = "ctb"),
person("Ben", "Schmidt", role = "ctb"))
person("Kamil", "Wais", email = "kamil.wais@gmail.com", role =
c("aut", "cre"))
c( person("Louis",			"Houde", 		role="aut"),
person("Jean-Francois",	"Lefebvre",	role="aut", email="jf_lef@yahoo.ca"),
person("Valery",		"Roy-Lagace",	role="aut"),
person("Sebastien",		"Lemieux",	role="aut"),
person("Michael J.",		"Fromberger",	role="ctb"),
person("Marie-Helene",	"Roy-Gagnon",	role="cre", email="mroygagn@uottawa.ca"))
"Giuseppe Lamberti <giuseppelamb@hotmail.com> [aut, cre]"
c(person(given = "Michael", family = "Friendly", role=c("aut", "cre"), email="friendly@yorku.ca"))
c(person("Scott", "Chamberlain", role = c("aut", "cre"),
email = "myrmecocystus@gmail.com"),
person("Andy", "Teucher", role = "aut",
email = "andy.teucher@gmail.com"))
c(person("C. B.", "Barber" , role="cph"), person("Kai", "Habel",
role=c("cph","aut")), person("Raoul", "Grasman", role=c("cph","aut")),
person("Andreas", "Stahel", role=c("cph","aut")), person("Andreas",
"Stahel", role=c("cph","aut")), person("David C.", "Sterratt",
role=c("cph","aut","cre"), email="david.c.sterratt@ed.ac.uk"))
c(person(c("Ole", "F."), "Christensen", role = c("aut", "cre"),
email = "OleF.Christensen@mbg.au.dk"),
person(c("Paulo", "J."), "Ribeiro Jr", role = "aut",
email = "paulojus@ufpr.br"))
c(
person( "Andreas", "Papritz", role = c( "cre", "aut" ),
email =  "andreas.papritz@env.ethz.ch" ),
person( "Cornelia", "Schwierz", role = "ctb" ))
c(person("Davide", "Morselli", role =c("aut","cre"), email =
"davide.morselli@unil.ch"), person("Mathieu", "Cossuta", role = "aut",
email = "mcossutta@gmail.com"), person("Till", "Junge", role = "aut", email
= "till.junge@gmail.com"), person("Sandra", "Penic", role = "aut", email =
"sandra.penic@unil.ch"), person("Guy", "Elcheroth", role = "ctb", email =
"guy.elcheroth@unil.ch"), person("Stephanie", "Glaeser", role = "ctb"))
c(
person("Robert J.", "Hijmans", role = c("cre", "aut"),  email = "r.hijmans@gmail.com"),
person("Ed", "Williams", role = "ctb"),
person("Chris", "Vennes", role = "ctb"))
c(person("Alex", "Zvoleff", email="azvoleff@conservation.org",
role=c("aut", "cre")))
c(person("Andrie", "de Vries", role=c("aut", "cre"),
email="apdevries@gmail.com"), person(c("Brian", "D."), "Ripley", role =
c("aut"), comment = "author of package tree"))
c(
person("Dean", "Attali", , "daattali@gmail.com", role = c("aut", "cre"))
)
c(person("Vincent T","van Hees",role=c("aut","cre"),
email="vincentvanhees@gmail.com"),
person("Zhou","Fang",role="ctb"),
person("Jing Hua","Zhao",role="ctb"),
person("Severine","Sabia",role="ctb"))
c(person("David", "Kahle", email = "david.kahle@gmail.com", role = c("aut", "cre")),
person("Hadley", "Wickham", email = "h.wickham@gmail.com", role = "aut"))
c(
person("Hadley", "Wickham", role = c("aut", "cre"), email = "h.wickham@gmail.com"),
person("Winston", "Chang", role = "aut", email = "winston@stdout.org")
)
c(person("Jeffrey B.", "Arnold", role = c("aut", "cre"),
email = "jeffrey.arnold@gmail.com"),
person("Gergely", "Daroczi", role = "ctb"),
person("Bo", "Werth", role = "ctb"),
person("Brian", "Weitzner", role = "ctb"),
person("Joshua", "Kunst", role = "ctb"),
person("Baptise", "Auguie", role = "ctb"),
person("Bob", "Rudis", role = "ctb"),
person("Justin",  "Talbot", role = "ctb",
comment = "Some code from the labeling package"))
c(
person("Winston", "Chang", role = c("aut", "cre"), email = "winston@rstudio.com"),
person("Hadley", "Wickham", role = "aut", email = "hadley@rstudio.com"),
person(family = "RStudio", role = "cph"),
person(family = "jQuery Foundation", role = "cph",
comment = "jQuery library and jQuery UI library"),
person(family = "jQuery contributors", role = c("ctb", "cph"),
comment = "jQuery library; authors listed in inst/www/lib/jquery/AUTHORS.txt"),
person(family = "jQuery UI contributors", role = c("ctb", "cph"),
comment = "jQuery UI library; authors listed in inst/www/lib/jquery-ui/AUTHORS.txt"),
person("Mike", "Bostock", role = c("ctb", "cph"), comment = "D3 library"),
person(family = "D3 contributors", role = "ctb",
comment = "D3 library; authors listed at https://github.com/mbostock/d3/graphs/contributors"),
person(family = "Trifacta Inc.", role = "cph",
comment = "Vega library"),
person(family = "Vega contributors", role = "ctb",
comment = "Vega library; authors listed at https://github.com/trifacta/vega/graphs/contributors"),
person("Sebasti<c3><a1>n", "D<c3><a9>cima", role = c("ctb", "cph"),
comment = "javascript-detect-element-resize library")
)
c(
person("Ramnath", "Vaidyanathan", role = "aut", email = "ramnath.vaidya@gmail.com"),
person("Karthik", "Ram", role = "aut", email = "karthik.ram@gmail.com"),
person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com")
)
person("Alex", "Zvoleff", email="azvoleff@conservation.org",
role=c("aut", "cre"))
c(person("Sanjay
Chaudhuri","Developer",role=c("aut","cre"),email="sanjay@stat.nus.edu.sg"),
person("Mark S.
Handcock","Developer",email="handcock@stat.ucla.edu"),
person("Michael S.
Rendall","Developer",email="mrendall@rand.org"))
c(person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
person(given = "Roger", family = "Koenker", role = "aut"),
person(given = "Philipp", family = "Doebler", role = "aut"))
c(
person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"),
email="henrikb@braju.com"))
c(person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
person(given = "Thomas", family = "Windberger", role = "aut"))
c(person("Claus Jonathan", "Fritzemeier", email = "clausjonathan.fritzemeier@uni-duesseldorf.de", role="cre"), person("Gabriel", "Gelius-Dietrich", role = c("aut"), email = "geliudie@uni-duesseldorf.de"), person("Louis", "Luangkesorn", email="lugerpitt@gmail.com", role="ctb" ))
c(person("Kornelius", "Rohmeyer", role = c("aut", "cre"),  email = "rohmeyer@small-projects.de"),
person("Florian", "Klinglmueller", role = "aut", email = "float@lefant.net"))
c(
person("Xiaobei", "Zhao", email="xiaobei@binf.ku.dk",
role=c("aut", "cre", "cph")),
person("Albin", "Sandelin", email="albin@binf.ku.dk",
role=c("aut"))
)
c(person("Mauricio", "Sarrias", role = c("aut", "cre"),
email = "msarrias86@gmail.com"),
person("Ricardo", "Daziano", role = "aut",
email = "daziano@cornell.edu"),
person("Yves", "Croissant", role = "ctb"))
c(person("Heather", "Turner", role = c("aut", "cre"),
email = "ht@heatherturner.net"),
person("David", "Firth", role = "aut"),
person("Brian", "Ripley", role = "ctb"),
person("Bill", "Venables", role = "ctb"),
person(c("Douglas", "M."), "Bates", role = "ctb"),
person("Martin", "Maechler", role = "ctb"))
c(person("Julian", "Faraway", role = "aut"),
person("George", "Marsaglia", role = "aut"),
person("John",   "Marsaglia", role = "aut"),
person("Adrian", "Baddeley", role = c("aut", "cre"),
email = "Adrian.Baddeley@uwa.edu.au"))
person("Bernhard", "Pfaff", email = "bernhard@pfaffikus.de",
role = c("aut", "cre"))
person("George", "Vega Yon", email="g.vegayon@gmail.com",
role =c("aut","cre"))
c(
person("Jennifer", "Bryan", , "jenny@stat.ubc.ca", c("aut", "cre")),
person("Joanna", "Zhao", , "joanna.zhao@alumni.ubc.ca", role = "aut")
)
c(person("Markus", "Gesmann", role = c("aut", "cre"),
email = "markus.gesmann@googlemail.com"),
person("Diego", "de Castillo", role = "aut",
email = "decastillo@gmail.com"),
person("Joe", "Cheng", role = "ctb",
email = "joe@rstudio.com"))
c(person("Daniel", "Gerhard", role = c("aut", "cre"),
email = "00gerhard@gmail.com"),
person("Rebecca M.", "Kuiper", role = "aut"))
c(person("Baptiste", "Auguie",
email = "baptiste.auguie@gmail.com",
role = c("aut", "cre")), person("Anton", "Antonov",
email = "tonytonov@gmail.com",
role = c("ctb")))
person("Paul", "Murrell", role = c("cre", "aut"),
email = "paul@stat.auckland.ac.nz")
c(person(given="Paul", family="Murrell",
email="p.murrell@auckland.ac.nz", role=c("cre","aut")),
person(given="Ashley Noel", family="Hinton",
email="ahin017@aucklanduni.ac.nz", role="aut"))
c(person("Paul", "Murrell", role = c("cre", "aut"),
email = "paul@stat.auckland.ac.nz"),
person("Simon", "Potter", role = "aut",
email = "simon@sjp.co.nz"))
c(person("Paul", "Murrell", role = c("aut", "cre"),
email = "p.murrell@auckland.ac.nz"),
person("Richard", "Walton", role = "aut"),
person("Simon", "Potter", role = "ctb"))
c(person("Fang", "Liu", role = c("aut", "cre"), email = "fang.liu.131@nd.edu"))
person("Max", "Conway", email = "conway.max1@gmail.com",
role = c("aut", "cre"))
c(person("Tomislav", "Hengl", role = c("cre", "aut"), email = "tom.hengl@isric.org"),
person("Bas", "Kempen", role = "ctb", email = "bas.kempen@wur.nl"),
person("Gerard", "Heuvelink", role = "ctb", email = "gerard.heuvelink@wur.nl"),
person("Brendan", "Malone", role = "ctb", email = "brendan.malone@sydney.edu.au"))
c(person("Edzer", "Pebesma", role = c("aut", "cre"), email = "edzer.pebesma@uni-muenster.de"),
person("Benedikt", "Graeler", role = "aut"))
c(person("Dan", "Kelley", role=c("aut","cre","cph"), email="dan.kelley@dal.ca", comment="C wrapper plus R code, tests, and documentation"), person("Clark", "Richards", role=c("aut","cph"), email="clark.richards@gmail.com", comment="C wrapper plus R code, tests, and documentation"), person("WG127", "SCOR/IAPSO", role=c("aut","cph"), comment="Original Matlab and derived code"))
c(person(given = "Michael", family = "Friendly", role=c("aut", "cre"), email="friendly@yorku.ca"),
person(given = "Stephane", family = "Dray", role="aut"))
c( person("Bastiaan", "Quast", email = "bquast@gmail.com", role =
c("aut", "cre") ), person("Victor",
"Kummritz", role = "aut") )
c(
person("Antonio Jose", "Saez-Castillo", role = c("aut", "cre"), email = "ajsaez@ujaen.es"),
person("Silverio", "Vilchez-Lopez", role = "aut", email = "silverio.vilchez@gmail.com"),
person("Maria Jose", "Olmo-Jimenez", role = "aut", email = "mjolmo@ujaen.es"),
person("Jose", "Rodriguez-Avi", role = "aut", email = "jravi@ujaen.es"),
person("Antonio", "Conde-Sanchez", role = "aut", email = "aconde@ujaen.es"),
person("Ana Maria", "Martinez-Rodriguez", role = "aut", email = "ammartin@ujaen.es"))
c(person("Mario", "Annau", role = c("aut", "cre"),
email = "mario.annau@gmail.com"))
c(person(given = c("Andreas", "Dominik"), family = "Cullmann",
email = "r-package_handtill2001@arcor.de", role = c("aut","cre"), comment = NULL,
first = NULL, last = NULL)
, person(given = c("Edgar"), family=c("Kublin"), role = c("ctb"))
)
c(person("Albart", "Coster", role = c("aut", "cre"),
email = "albart@dairyconsult.nl"),
person("John", "Bastiaansen", role = "aut",
email = "john.bastiaansen@wur.nl"))
c(
person("Hadley", "Wickham", , "hadley@rstudio.com", role = c("aut", "cre")),
person("Evan", "Miller", , role = c("aut", "cph"),
comment = "Author of included ReadStat code"),
person("RStudio", role = "cph")
)
c(person(given = "Pedro Rafael", family = "Diniz Marinho", role =
c("aut", "cre"), email = "pedro.rafael.marinho@gmail.com"),
person(given = "Francisco", family = "Cribari Neto", role =
c("aut","ctb"), email = "cribari@de.ufpe.br"))
c(person("Claudia", "Vitolo", role = c("aut", "cre"),
email = "cvitolodev@gmail.com"),
person("Simon", "Moulds", role = "aut",
email = "simonmdev@riseup.net"))
c(person("Quentin", "Grimonprez", role = c("aut","cre"), email =
"quentin.grimonprez@inria.fr"), person("Serge", "Iovleff", role = "ctb"))
c(person("Justin", "Esarey", role = c("aut", "cre"), email =
"justin@justinesarey.com"), person("Andrew", "Pierce", role = "aut", email
= "awpierc@emory.edu"), person("Jericho", "Du", role= "aut", email =
"jericho.du@gmail.com"))
c(person(given = "John", family = "Fox", role="aut"),
person(given = "Michael", family = "Friendly", role=c("aut", "cre"), email="friendly@yorku.ca"),
person(given = "Georges", family = "Monette", role="ctb"))
c(person(given="Daniel C.",family="Bowman", role=c("aut", "cre"),
email="daniel.bowman@unc.edu"),
person(given="Jonathan M.", family="Lees", role=c("ctb")))
c(person("Chris", "Walsh", role = c("aut","cre"), email =
"cwalsh@unimelb.edu.au"), person("Ralph", "Mac Nally", role =
"aut", email = "Ralph.MacNally@sci.monash.edu.au"))
c(
person("Romain", "Francois",, "romain@r-enthusiasts.com", c("aut", "cre") ),
person("Andre", "Simon",, "andre.simon1@gmx.de", "ctb" )
)
c(person("Christopher", "Gandrud", role = "ctb"),
person("Qiang", "Li", role = "ctb"),
person("Yixuan", "Qiu", role = "aut"),
person("Yihui", "Xie", email = "xie@yihui.name", role = c("aut", "cre")))
c(person("Hongyuan", "Cao", role = c("aut"), email =
"caohong@missouri.edu"), person("Michael", "Kosorok", role =
c("aut"), email = "kosorok@unc.edu"),
person("Shannon","Holloway", role=c("aut","cre"), email="sthollow@ncsu.edu"))
c(person(given = "Michael", family = "Friendly", role=c("aut", "cre"), email="friendly@yorku.ca"),
person(given = "Stephane", family = "Dray", role="ctb"),
person(given = "Hadley", family = "Wickham", role="ctb"),
person(given = "James", family = "Hanley", role="ctb"),
person(given = "Dennis", family = "Murphy", role="ctb")
)
c(person("Antonio", "Irpino", role = c("aut", "cre"),
email = "antonio.irpino@unina2.it"))
c(person("Murray", "Stokely", role = c("aut", "cre"),
email = "murray@stokely.org"),
person("Tim", "Hesterberg", role = "ctb", email = "rocket@google.com"))
c(person("Lincoln", "Mullen",
role = c("aut", "cre"),
email = "lincoln@lincolnmullen.com"))
c(person("Ingo", "Feinerer", role = "aut"), person("Stefan", "Theussl", role = c("aut", "cre"), email = "Stefan.Theussl@R-project.org"))
c(person(given = "Bryan A.", family = "Hanson",
role = c("aut", "cre"), email = "hanson@depauw.edu"),
person("Vesna", "Memisevic", role = "ctb"),
person("Jonathan", "Chung", role = "ctb"))
c(person("Rafael", "de Andrade Moral", role = c("aut", "cre"), email = "rafael_moral@yahoo.com.br"), person("John", "Hinde", role = "aut"), person("Clarice", "Garcia Borges Demetrio", role = "aut"))
c(person(given = "Daniel", family = "Fischer", role = c("aut","cre"), email = "daniel.fischer@luke.fi"),
person(given = "Anu", family = "Sironen", role = "aut"))
c(person("Patrick", "Mair", role = c("aut", "cre"), email = "mair@fas.harvard.edu"), person("Jan", "De Leeuw", role = "aut"))
c(person("Dieter William", "Joenssen", role = c("aut", "cre", "cph"),
email = "Dieter.Joenssen@googlemail.com"))
c(person("Alexander", "Rumyantsev", role = c("aut", "cre"),
email = "ar0@sampo.ru"))
c(person("Hugo", "Quené", role = c("aut", "cre"),
email = "h.quene@uu.nl") )
c(person("Guanhua", "Chen", role = c("aut","cre"), email =
"guanhuac@live.unc.edu"), person("Michael", "Kosorok", role =
c("aut"), email = "kosorok@unc.edu"),
person("Shannon","Holloway", role="ctb", email="sthollow@ncsu.edu"))
person("Christian", "Rubba", email = "christian.rubba@gmail.com",
role = c("aut", "cre"))
c(
person("Ramnath", "Vaidyanathan", role = c("aut", "cph")),
person("Yihui", "Xie", role = c("aut")),
person("JJ", "Allaire", role = c("aut", "cre"), email = "jj@rstudio.com"),
person("Joe", "Cheng", role = c("aut")),
person("Kenton", "Russell", role = c("aut", "cph")),
person(family = "RStudio", role = "cph")
)
c(
person("Hadley", "Wickham", , "hadley@rstudio.com", role = c("aut", "cre")),
person("RStudio", role = "cph")
)
c(person("Jon", "Wakefield", role = c("aut", "cre"),
email = "jonno@u.washington.edu"),
person("Martyn", "Plummer", role="ctb"))
c(person("Delyan", "Savchev",
role=c("aut"),email="madbss@bristol.ac.uk"),
person("Guy", "Nason", role=c("aut","cre"),
email="g.p.nason@bristol.ac.uk"))
c(person("Mauricio", "Zambrano-Bigiarini", email = "mzb.devel@gmail.com", role=c("aut", "cre") ) )
c(person("Mauricio", "Zambrano-Bigiarini", email="mzb.devel@gmail.com", role=c("aut","cre")), person("Rodrigo", "Rojas", email="Rodrigo.RojasMujica@gmail.com", role=c("ctb")) )
c(person("Mauricio", "Zambrano-Bigiarini", email = "mzb.devel@gmail.com", role=c("aut", "cre", "cph") ) )
person("Nathaniel", "Hallinan", role = c("aut", "cre"),
email = "nmhallinan@gmail.com")
person("Matthew", "Wolak", email = "matthewwolak@gmail.com", role = c("cre", "aut"))
c(person("Steven Andrew", "Culpepper", role = c("aut", "cph","cre"), email =
"sculpepp@illinois.edu"),person("Herman", "Aguinis", role = c("aut", "cph"), email =
"haguinis@indiana.edu"))
c(
person(given = "Jack O.", family = "Wasey", role = c("aut", "cre", "cph"),
email = c("jack@jackwasey.com")),
person(given = "William", family = "Murphy", role = "ctb",
email = c("WMurphy@eatright.org")))
c(person("Itziar", "Irigoien", role = c("aut", "cre"),
email = "itziar.irigoien@ehu.es"),
person("Concepcion", "Arenas", role = "aut",
email="carenas@ub.edu"))
person("Roland", "Tanglao", email = "roland@rolandtanglao.com",
role = c("aut", "cre"))
c(person("Thomas J.", "Leeper", role = c("aut", "cre"),
email = "thosjleeper@gmail.com"),
person("Aaron", "Statham", role = c("ctb"),
email = "aaron.l.statham@gmail.com"),
person("Yihui", "Xie", role = c("ctb"))
)
c(person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
person(given = "Christian", family = "Kleiber", role = "ctb", email = "Christian.Kleiber@unibas.ch"))
c(person("T. C.", "Hsieh", role = c("aut", "cre", "cph"), email =
"euler96@gmail.com"), person("K. H.", "Ma", role = "ctb", email =
"smallmar123@gmail.com"), person("Anne", "Chao", role = "ths", email =
"chao@stat.nthu.edu.tws"))
person(given="Kristian", family="Markon", role = c("aut",
"cre"), email = "kristian-markon@uiowa.edu")
c(person("Toby Dylan","Hocking",role=c("aut","cre"),
email="toby@sg.cs.titech.ac.jp"),
person("Keith","Ponting",role="aut"),
person("Thomas","Wutzler",role="aut"),
person("Philippe","Grosjean",role="aut"),
person("Markus","Müller",role="aut"),
person("R Core Team",role=c("ctb","cph")))
c(person("Tal", "Galili", role = c("aut", "cre", "cph"), email =
"tal.galili@gmail.com", comment = "http://www.r-statistics.com"),
person("Barry", "Rowlingson", role = "ctb", email =
"b.rowlingson@lancaster.ac.uk"), person("Boris", "Hejblum", email=
"boris.hejblum@isped.u-bordeaux2.fr>", role = "ctb") , person("Dason", role
= "ctb"), person("Felix", "Schonbrodt", role = "ctb"), person("G.",
"Grothendieck", role = "ctb") , person("GERGELY", "DAROCZI", role = "ctb")
, person("Heuristic", "Andrew", role = "ctb") , person("James", role =
"ctb", comment = "http://stackoverflow.com/users/269476/james"),
person("Thomas", "Leeper", role = "ctb", comment =
"http://thomasleeper.com/"), person("VitoshKa", role = "ctb"),
person("Yihui", "Xie", role = "ctb", comment = "http://yihui.name"),
person("Michael", "Friendly", role = "ctb", comment = "http://datavis.ca/")
, person("Kornelius", "Rohmeyer", email = "rohmeyer@small-projects.de",
role = "ctb", comment = "http://algorithm-forge.com/techblog/"),
person("Dieter", "Menne", email = "dieter.menne@menne-biomed.de", role =
"ctb"), person("Tyler", "Hunt", comment = "https://github.com/JackStat",
role = "ctb"), person("Takekatsu", "Hiramura", email = "thira@plavox.info",
comment = "https://github.com/hiratake55", role = "ctb"), person("Berry",
"Boessenkool", email = "berry-b@gmx.de", comment =
"https://github.com/BerryBoessenkool", role = "ctb"))
c(person("Andrea", "Peters", role = "aut"),
person("Torsten", "Hothorn", role = c("aut", "cre"),
email = "Torsten.Hothorn@R-project.org"),
person("Brian D.", "Ripley", role = "ctb"),
person("Terry", "Therneau", role = "ctb"),
person("Beth", "Atkinson", role = "ctb"))
c(
person("Jonathan", "Callahan", email="jonathan.s.callahan@gmail.com", role=c("aut","cre")),
person("Rob", "Casey", email="rob@iris.washington.edu", role=c("aut")),
person("Mary", "Templeton", email="met@iris.washington.edu", role=c("aut"))
)
c(person("Christian", "Buchta", role = "aut"),
person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org"))
c(person("Gerald Quon", role = "aut",
email = "gquon@mit.edu"),
person("Catalina V Anghel", role = c("aut", "trl"),
email="Catalina Anghel@oicr.on.ca"),
person("Syed Haider", role = "aut",
email="Syed.Haider@oicr.on.ca"),
person("Francis Nguyen", role = "aut"),
person("Amit G Deshwar", role = "aut"),
person("Quaid D Morris", role = "aut",
email = "Quaid.Morris@utoronto.ca"),
person("Paul C Boutros", role = c("aut", "cre"),
email = "Paul.Boutros@oicr.on.ca"))
c(person("Patrick", "Mair", role = c("aut", "cre"), email =
"mair@fas.harvard.edu"), person("Jan", "De Leeuw", role = "aut"),
person("Kurt", "Hornik", role = "aut"))
c( person("Jacolien", "van Rij", email="vanrij.jacolien@gmail.com", role = c("aut", "cre")),person("Martijn","Wieling", role = "aut"), person("R. Harald","Baayen", role = "aut"), person("Hedderik", "van Rijn", role = "aut"))
c( person('Paul', 'Staab', , 'develop@paulstaab.de', role=c('aut',
'cre', 'cph')), person('Lisha', 'Mathew', role=c('aut', 'cph')),
person('Dirk', 'Metzler', role=c('aut', 'cph', 'ths')) )
person("Yuchen", "Wang", email = "ycwang0712@gmail.com",
role = c("aut", "cre"))
c(person(given = "Soo-Heang", family = "Eo", role = c("aut","cre"),
email = "eo.sooheang@gmail.com"),
person(given = "Seung-Mo", family = "Hong", role = "ctb"),
person(given = "HyungJun", family = "Cho", role = "aut",
email = "hj4cho@korea.ac.kr"))
c(person("Alexandros", "Karatzoglou", role = c("aut", "cre"),
email = "alexis@ci.tuwien.ac.at"),
person("Alex", "Smola", role = "aut"),
person("Kurt", "Hornik", role = "aut"))
c(person("Matt", "Wand", role = "aut",
email = "Matt.Wand@uts.edu.au"),
person("Brian", "Ripley", role = c("trl", "cre", "ctb"),
email = "ripley@stats.ox.ac.uk",
comment = "R port and updates"))
c(person("Johannes", "Ranke", role = c("aut", "cre", "cph"),
email = "jranke@uni-bremen.de"),
person("Katrin", "Lindenberger", role = "ctb"))
c( person("Michael P.", "Nobis", role = c("cre", "aut"), email =
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c(person(given="m.eik", family="michalke", email="meik.michalke@hhu.de", role=c("aut", "cre")))
c(person("Mamoun O.", "Benghezal", role = c("aut", "cre"), email =
"mobenghezal@gmail.com"), person("Christophe", "Genolini", role = c("ctb"),
email = "christophe.genolini@u-paris10.fr"))
c(person("David Charles", "Howe", role = c("aut", "cre"),
email = "kmodR@edgecondition.com"))
person("Carl", "Boettiger", role=c("aut", "cre"),
email="cboettig@gmail.com")
person("John", "Shea", email = "coachshea@fastmail.com", role = c("aut", "cre"))
c(person(given="m.eik", family="michalke", email="meik.michalke@hhu.de", role=c("aut", "cre")), person(given="Earl", family="Brown", email="eabrown@csumb.edu", role=c("ctb")), person(given="Alberto", family="Mirisola", role=c("ctb")), person(given="Alexandre", family="Brulet", role=c("ctb")), person(given="Laura", family="Hauser", role=c("ctb")))
as.person(c(
"Jocelyn T. Chi <jocelynchi@alum.berkeley.edu> [aut, cre]",
"Eric C. Chi <ecchi1105@gmail.edu> [ctb]"
))
c(person("Fritz", "Scholz",role=c("aut","cre"),email =
"fscholz@u.washington.edu"), person("Angie", "Zhu", role=c("aut"),
email= "a.zhu.stat@gmail.com"))
c(person(given = "Christina", family = "Stahl", role = c("aut", "cre"), email = "christina.stahl@chello.at"),
person(given = "David", family = "Meyer", role = c("aut")))
c(person("John", "Ehrlinger", role=c("aut", "cre"),
email="john.ehrlinger@gmail.com"), person("Hemant", "Ishwaran",
role="aut"))
c(person("Andreas", "Alfons", email = "alfons@ese.eur.nl",
role = c("aut", "cre")), person("Josef", "Holzer", role = "aut"),
person("Matthias", "Templ", role = "aut"))
c(person(given = "Michael", family = "Friendly",
role=c("aut", "cre"), email="friendly@yorku.ca"),
person(given= "Dennis", family = "Murphy", role="ctb"),
person(given ="Martin", family = "Monkman", role="ctb"),
person(given ="Chris", family = "Dalzell", role="ctb"))
person(given = "Jeffrey W.", family = "Hollister",
role = c("aut","cre"),
email = "hollister.jeff@epa.gov")
c(person("Richard", "Zijdeman", role = c("aut", "cre"),
email = "richard.zijdeman@iisg.nl"),
person("Josemiguel", "Lana-Berasain", role = "ctb",
email = "josem.lana@unavarra.es"))
c(
person("Pavel N.", "Krivitsky", role=c("aut","cre"), email="pavel@uow.edu.au"),
person("Mark S.", "Handcock", role=c("aut"), email="handcock@stat.ucla.edu"),
person("Susan M.", "Shortreed", role=c("ctb")),
person("Jeremy", "Tantrum", role=c("ctb")),
person("Peter D.", "Hoff", role=c("ctb")),
person("Li","Wang",role=c("ctb"),email="lxwang@gmail.com"),
person("Kirk","Li",role=c("ctb"),email="kirkli@uw.edu")
)
person("Stefano", "Meschiari", email="stefano.meschiari@gmail.com", role=c("aut", "cre"))
c(
person("Douglas", "Nychka", role = c("aut", "cre"),
email = "nychka@ucar.edu"),
person("Dorit", "Hammerling", role = c("aut"),
email = "hammerling@samsi.info"),
person("Stephan", "Sain", role = "aut",
email = "ssain@ucar.edu"),
person("Nathan", "Lenssen", role = "aut",
email = "lenssen@ucar.edu"))
c(person(given = "Yves", family = "Rosseel",
role  = c("aut", "cre"),
email = "Yves.Rosseel@UGent.be"),
person(given = "Daniel", family = "Oberski",
role = "ctb",
email = "daniel.oberski@gmail.com"),
person(given = "Jarrett", family = "Byrnes",
role = "ctb",
email = "byrnes@nceas.ucsb.edu"),
person(given = "Leonard", family = "Vanbrabant",
role = "ctb",
email = "Leonard.Vanbrabant@ugent.be"),
person(given = "Victoria", family = "Savalei",
role = "ctb",
email = "vsavalei@ubc.ca"),
person(given = "Ed", family = "Merkle",
role = "ctb",
email = "merklee@missouri.edu"),
person(given = "Michael", family = "Hallquist",
role = "ctb",
email = "michael.hallquist at gmail.com"),
person(given = "Mijke", family = "Rhemtulla",
role = "ctb",
email = "mijke@ku.edu"),
person(given = "Myrsini", family = "Katsikatsou",
role = "ctb",
email = "mirtok2@gmail.com"),
person(given = "Mariska", family = "Barendse",
role = "ctb",
email = "m.t.barendse@rug.nl")
)
c(
person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com"),
person("Jeff", "Hollister", role = "aut", email = "hollister.jeff@epa.gov")
)
as.person(c(
"Hadley Wickham <hadley@rstudio.com> [aut,cre]",
"RStudio [cph]"
))
c(person("Antonio", "Coppola", role = c("aut", "cre", "cph"), email = "acoppola@college.harvard.edu"),
person("Brandon", "Stewart", role = c("aut", "cph")),
person("Naoaki", "Okazaki", role = c("aut", "cph")),
person("David", "Ardia", role = c("ctb", "cph")),
person("Dirk", "Eddelbuettel", role = c("ctb", "cph")),
person("Katharine", "Mullen", role = c("ctb", "cph")),
person("Jorge", "Nocedal", role = c("ctb", "cph")))
c( person(given = c("John", "C"), family = "Nash", role =
c("aut", "cre"), email = "nashjc@uottawa.ca"),
person(given = "Ciyou", family = "Zhu", role = "aut"),
person(given = "Richard", family = "Byrd", role = "aut"),
person(given = "Jorge", family = "Nocedal", role = "aut"),
person(given = c("Jose", "Luis"), family = "Morales", role = "aut"))
c(person("Carson", "Sievert", role = c("aut", "cre"), email =
"cpsievert1@gmail.com"), person("Kenny", "Shirley", role = "aut",
email = "kshirley@research.att.com"))
c(person("Eero", "Liski", role = c("aut", "cre"), email =
"liskieero@gmail.com"), person("Klaus",
"Nordhausen", role = "aut"), person("Hannu", "Oja", role =
"aut"), person("Anne", "Ruiz-Gazen", role = "aut"))
c(
person("Joe", "Cheng", email = "joe@rstudio.com", role = c("aut", "cre")),
person("Yihui", "Xie", role = c("aut")),
person("Hadley", "Wickham", role = c("ctb")),
person("jQuery Foundation and contributors", role = c("ctb", "cph"), comment = "jQuery library"),
person("Vladimir", "Agafonkin", role = c("ctb", "cph"), comment = "Leaflet library"),
person("CloudMade", role = c("cph"), comment = "Leaflet library"),
person("Leaflet contributors", role = c("ctb"), comment = "Leaflet library"),
person("Leaflet Providers contributors", role = c("ctb", "cph"), comment = "Leaflet Providers plugin"),
person("RStudio", role = c("cph"))
)
person("Daniel", "Walter", email = "dswalter@gmail.com",
role = c("aut", "cre"))
c(person("David", "Leonard", role = c("aut", "cre"),
email = "davidsleonard@outlook.com"))
c(person("Paul", "Bailey", role=c("aut", "cre"), email="pbailey@air.org"))
c(
person("Miaozhu", "Li", email = "miaozhu.li@duke.edu", role = "ctb"),
person("Tengfei", "Yin", email = "tengfei.yin@sbgenomics.com", role = "ctb"),
person("Nan", "Xiao", email = "nanx@uchicago.edu", role = c("aut", "cre"))
)
c(person("Karline","Soetaert", role = c("aut","cre"),
email = "karline.soetaert@nioz.nl"),
person("Karel","Van den Meersche", role = "aut"),
person("Dick","van Oevelen", role = "aut",
email = "dick.vanoevelen@nioz.nl"),
person("LAPACK authors", role = "cph"))
c(
person("Ethan Z.", "Welty", email = "ethan.welty+linbin@gmail.com", role = c("aut", "cre")),
person("Christian E.", "Torgersen", role = "ctb", comment = "author support and guidance"),
person("Samuel J.", "Brenkman", role = "ctb", comment = "elwha and quinault datasets"),
person("Jeffrey J.", "Duda", role = "ctb", comment = "elwha dataset"),
person("Jonathan B.", "Armstrong", role = "ctb", comment = "fishmotion dataset"))
c(person("Bryan", "Hanson", role = c("aut", "cre"), email =
"hanson@depauw.edu"))
"Jim Hester <james.f.hester@gmail.com> [aut, cre]"
c( person("Marc", "Adams", role= c("aut", "cre"), email= "lm.br.pkg@gmail.com"),
person("authors of R function 'lm'", role = "ctb", comment = "general interface"),
person("authors of 'lm.gls'", role = "ctb", comment = "interface and R code for covariate weights"),
person("U.S. NIST", role = "ctb", comment = "C++ code for TNT::Vector template") )
c(person("Douglas","Bates", role="aut"),
person("Martin","Maechler", role="aut"),
person("Ben","Bolker",email="bbolker+lme4@gmail.com", role=c("aut","cre")),
person("Steven","Walker",role="aut"),
person("Rune Haubo Bojesen","Christensen", role="ctb"),
person("Henrik","Singmann", role="ctb"),
person("Bin", "Dai", role="ctb"),
person("Gabor", "Grothendieck", role="ctb"))
c(person("Alexandra", "Kuznetsova", role = c("aut", "cre"),
email = "alku@dtu.dk"),
person("Per", "Bruun Brockhoff", role = c("aut", "ths")),
person("Rune", "Haubo Bojesen Christensen", role = "aut"))
c(person("Jasmin", "Straube", role = c("aut", "cre"),email = "j.straube@qfab.org"),
person("Kim-Anh", "Le Cao", role = "aut"),
person("Emma", "Huang", role = "aut"),
person("Dominique", "Gorse", role = "ctb"))
c(person(given = "Torsten", family = "Hothorn", role = "aut", email = "Torsten.Hothorn@R-project.org"),
person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
person(given = c("Richard", "W."), family = "Farebrother", role = "aut", comment = "pan.f"),
person(given = "Clint", family = "Cummins", role = "aut", comment = "pan.f"),
person(given = "Giovanni", family = "Millo", role = "ctb"),
person(given = "David", family = "Mitchell", role = "ctb"))
c(
person("Walerian", "Sokolowski",
role = c("aut", "cre", "cph"),
email = "walerian.sokolowski@wlogsolutions.com"),
person("Wit", "Jakuczun",
role = c("aut", "cph"),
email = "Wit.Jakuczun@wlogsolutions.com"),
person("Natalia", "Okinczyc",
role = "aut",
email = "natalia.okinczyc@wlogsolutions.com"),
person("Bogumil", "Kaminski",
role = "aut",
email = "bkamins@sgh.waw.pl"))
c(person("Bradley", "Efron", role=c("aut"),
email = "brad@stat.Stanford.EDU"),
person("Brit", "Turnbull", role=c("aut")),
person("Balasubramanian", "Narasimhan", role=c("aut", "cre"),
email = "naras@stat.Stanford.EDU"),
person("Korbinian", "Strimmer", role=c("ctb")))
person("Kris", "Sankaran", , "kriss1@stanford.edu", role = c("aut", "cre"))
c(person("Guy", "Nason", role=c("aut", "cre"),
email="g.p.nason@bristol.ac.uk"))
c( person("John Myles", "White", role = c("aut", "cph")),
person("Kenton", "White", role = "ctb"), person("Kirill", "Müller", email
= "krlmlr+r@mailbox.org", role = c("ctb", "cre")))
person("Milan", "Bouchet-Valat", email="nalimilan@club.fr",
role=c("aut", "cre"))
c(person("Paul D.", "McNicholas", role = c("aut", "cre"), email = "mcnicholas@math.mcmaster.ca"), person("K. Raju", "Jampani", role = "aut", comment = "May to Dec 2012"), person("Sanjeena", "Subedi", role = "aut"))
c(person("Aki", "Vehtari", email = "Aki.Vehtari@aalto.fi", role = c("aut")),
person("Andrew", "Gelman", email = "gelman@stat.columbia.edu", role = c("aut")),
person("Jonah", "Gabry", email = "jsg2201@columbia.edu", role = c("cre", "aut")),
person("Juho", "Piironen", role = c("ctb")))
c(person("Corrado", "Tallerini", role = c("aut", "cre"),
email = "corrado.tallerini@vodafone.it"),
person("Salvatore", "Grimaldi", role = "aut",
email = "salvatore.grimaldi@unitus.it"))
c(person("Ajith", "Dissanayake", role = c("aut", "cre"),
email = "sudeera333@gmail.com"), person("P.", "Wijekoon", role
= ("aut"),email="pushpaw@pdn.ac.lk"), person("R-core",role =
"cph", email = "R-core@R-project.org"))
c(person("Idris","Eckley",role=c("aut","cre"), email="i.eckley@lancaster.ac.uk"),
person("Guy","Nason",role="aut", email="g.p.nason@bristol.ac.uk"),
person("Sarah", "Taylor", role="ctb", email="s.taylor14@lancaster.ac.uk"),
person("Matthew", "Nunes", role="ctb",email="m.nunes@lancaster.ac.uk"))
c(person("Sarah", "Taylor", role="aut"), person("Matt",
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c(person("Fritz Guenther", role = c("aut","cre"),
email ="fritz.guenther@uni-tuebingen.de"))
c(person(given = "Pieter", family = "Schoonees", role = c("aut",
"cre"), email = "schoonees@gmail.com"), person(given = "Patrick",
family = "Groenen", role = "ctb", email = "groenen@ese.eur.nl"))
person("Po-Hsien", "Huang", role = c("aut", "cre"),
email = "psyphh@gmail.com")
c(person("Joshua", "Schwab", role=c("aut", "cre"),
email="joshuaschwab@yahoo.com"), person("Samuel", "Lendle", role="aut"),
person("Maya", "Petersen", role="aut"), person("Mark", "van der Laan",
role="aut"), person("Susan", "Gruber", role="ctb"))
c(person("Garrett", "Grolemund", email = "garrett@rstudio.com",
role = c("aut", "cre")), person("Hadley", "Wickham", role = "aut"),
person("Vitalie", "Spinu", role = "ctb"), person("Imanuel", "Constigan",
role = "ctb"), person("Chel Hee", "Lee", role = "ctb"), person("Richard",
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person("Winston", "Chang", role = "ctb"))
c(person("Sebastian", "Kreutzer", role = c("aut","trl","cre"),
email = "sebastian.kreutzer@u-bordeaux-montaigne.fr"),
person("Michael", "Dietze", role = c("aut")),
person("Christoph", "Burow", role = c("aut")),
person("Margret C.", "Fuchs", role = c("aut")),
person("Christoph", "Schmidt", role = c("aut")),
person("Manfred", "Fischer", role = c("aut","trl")),
person("Rachel K.", "Smedley", role = c("aut")),
person("Markus", "Fuchs", role = "ths"))
c(person(given = "Emmanuel", family = "Lazaridis",
email="emmanuel@lazaridis.eu", role = c("aut", "cre")))
person(given = "Isabella", family = "Gollini", role = c("aut","cre"), email = "igollini.stats@gmail.com")
c(person(given = "Yi", family = "Liu", role = c("aut", "cre"), email = "liuyipei@gmail.com"),
person(given = "Richard A.", family = "Olshen", role = "aut", email = "olshen@stanford.edu"),
person(given = "Andrew Z.", family = "Fire", role = "ctb", email = "afire@stanford.edu"),
person(given = "Scott D.", family = "Boyd", role = "ctb", email = "sboyd1@stanford.edu"))
c(person("Sebastian", "Gibb", role=c("aut", "cre"),
email="mail@sebastiangibb.de"), person("Korbinian", "Strimmer",
role="ths"))
c(person("Sebastian", "Gibb", role=c("aut", "cre"),
email="mail@sebastiangibb.de"), person("Pietro", "Franceschi",
role=c("ctb"), email="pietro.franceschi@fmach.it"))
c(person("Jirka", "Lewandowski",
role = c("aut", "cre"),
email = "jirka.lewandowski@wzb.eu"),
person("Nicolas", "Merz",
role = c("aut"),
email = "nicolas.merz@wzb.eu"),
person("Sven", "Regel",
role = c("ctb"),
email = "sven.regel@wzb.eu"),
person("Pola", "Lehmann",
role = c("ctb"),
email = "pola.lehmann@wzb.eu"))
c(
person("JJ", "Allaire", role = c("aut", "cre"),
comment = "R interface", email = "jj@rstudio.com"),
person(family = "RStudio", role = "cph")
)
c(
person("Roger", "Bivand", role = c("cre", "aut"), email = "Roger.Bivand@nhh.no"),
person("Nicholas", "Lewin-Koh", role = "aut"),
person("Edzer", "Pebesma", role = "ctb"),
person("Eric", "Archer", role = "ctb"),
person("Adrian", "Baddeley", role = "ctb"),
person("Hans-Jörg", "Bibiko", role = "ctb"),
person("Steven", "Brey", role = "ctb"),
person("Jonathan", "Callahan", role = "ctb"),
person("German", "Carrillo", role = "ctb"),
person("Stéphane", "Dray", role = "ctb"),
person("David", "Forrest", role = "ctb"),
person("Michael", "Friendly", role = "ctb"),
person("Patrick", "Giraudoux", role = "ctb"),
person("Duncan", "Golicher", role = "ctb"),
person("Virgilio", "Gómez Rubio", role = "ctb"),
person("Patrick", "Hausmann", role = "ctb"),
person("Karl Ove", "Hufthammer", role = "ctb"),
person("Thomas", "Jagger", role = "ctb"),
person("Sebastian", "Luque", role = "ctb"),
person("Don", "MacQueen", role = "ctb"),
person("Andrew", "Niccolai", role = "ctb"),
person("Edzer", "Pebesma", role = "ctb"),
person("Oscar", "Perpiñán Lamigueiro", role = "ctb"),
person("Tom", "Short", role = "ctb"),
person("Greg", "Snow", role = "ctb"),
person("Ben", "Stabler", role = "ctb"),
person("Murray", "Stokely", role = "ctb"),
person("Rolf", "Turner", role = "ctb"))
c(person(c("Steven", "E."), "Pav", role=c("aut","cre"),
email="shabbychef@gmail.com"))
c(person(given = c("Andreas", "Dominik"), family = "Cullmann",
email = "r-package_masae@arcor.de", role = c("aut","cre"), comment = NULL,
first = NULL, last = NULL)
, person(given = c("Daniel"), family=c("Mandallaz"), role = c("ctb"))
, person(given = c("Alexander", "Francis"), family=c("Massey"), role = c("ctb"))
)
c(person("Brian", "Ripley", role = c("aut", "cre", "cph"),
email = "ripley@stats.ox.ac.uk"),
person("Bill", "Venables", role = "ctb"),
person(c("Douglas", "M."), "Bates", role = "ctb"),
person("Kurt", "Hornik", role = "trl",
comment = "partial port ca 1998"),
person("Albrecht", "Gebhardt", role = "trl",
comment = "partial port ca 1998"),
person("David", "Firth", role = "ctb"))
c (person ("Daniel", "Braithwaite", role = c ("aut", "cre"),
email = "contact.dtb@gmail.com"), person ("Kevin", "Keegan", role = "aut",
email = "keegan@mcs.anl.gov"), person (c ("University", "of"), "Chicago",
role = "cph"))
c(person("Mikko", "Rönkkö", role=c("aut", "cre"),
email = "mikko.ronkko@aalto.fi"))
c(
person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"),
email="henrikb@braju.com"),
person("Hector", "Corrada Bravo", role="ctb"),
person("Robert", "Gentleman", role="ctb"),
person("Ola", "Hossjer", role="ctb"),
person("Harris", "Jaffee", role="ctb"),
person("Dongcan", "Jiang", role="ctb"),
person("Peter", "Langfelder", role="ctb"))
c(
person("Jonathan", "Callahan", email="jonathan.s.callahan@gmail.com", role=c("aut","cre")),
person("Will", "Leahy", email="procterw@gmail.com", role=c("aut")),
person("Henry", "Nguyen", email="oh.henry.nguyen@gmail.com", role=c("aut")),
person("Robin", "Winstanley", email="robin@winstan.net", role=c("aut"))
)
c(person("Giorgio", "Spedicato", role = c("aut", "cre"),
email = "spedicato_giorgio@yahoo.it"),
person("Christophe", "Dutang", role = "aut"),
person("Markus", "Gesmann", role = "ctb",
email = "markus.gesmann@gmail.com"))
c(person("Stefan", "Roediger", role = c("aut", "cre"),
email = "stefan_roediger@gmx.de"),
person("Michal", "Burdukiewicz", role = "ctb"))
c(person("Torsten", "Hothorn", role = c("aut", "cre"),
email = "Torsten.Hothorn@R-project.org"),
person("Peter", "Buehlmann", role = "aut"),
person("Thomas", "Kneib", role = "aut"),
person("Matthias", "Schmid", role = "aut"),
person("Benjamin", "Hofner", role = "aut"),
person("Fabian", "Sobotka", role = "ctb"),
person("Fabian", "Scheipl", role = "ctb"))
person("Justin", "de Benedictis-Kessner", email = "justindbk@gmail.com", role = c("aut", "cre"))
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person("Marie-Laure", "Delignette-Muller", role = "ctb", email= "ml.delignette@vetagro-sup.fr"),
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c(person("Chris", "Fraley", role = "aut"),
person("Adrian E.", "Raftery", role = "aut"),
person("Luca", "Scrucca", role = c("aut", "cre"),
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person("Thomas Brendan", "Murphy", role = "ctb"),
person("Michael", "Fop", role = "ctb"))
c(person("Fernando Ferraz", "do Nascimento", email =
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person("Wyara Vanesa", "Moura e Silva", email = "wyaravms@hotmail.com",
role = c("aut", "ctb")))
c(
person("S. McKay", "Curtis", role=c("aut", "cre"), email="s.mckay.curtis@gmail.com"),
person("Ilya", "Goldin", role="ctb"),
person("Evangelos", "Evangelou", role="ctb"),
person("'sumtxt' from GitHub", role="ctb")
)
c( person("Olaf", "Mersmann", role=c("aut", "cre"),
email="olafm@p-value.net"), person("Heike", "Trautmann",
role=c("ctb"), email="trautmann@wi.uni-muenster.de"),
person("Detlef", "Steuer", role=c("ctb"),
email="detlef.steuer@hsu-hamburg.de"), person("Bernd",
"Bischl", role=c("ctb"), email="bernd_bischl@gmx.net"),
person("Kalyanmoy", "Deb", role=c("cph")) )
c(person("Frank", "Schaarschmidt", role=c("aut","cre"), email="schaarschmidt@biostat.uni-hannover.de"),
person("Daniel", "Gerhard", role="aut"),
person("Martin", "Sill", role="aut"))
c(person("Antonio Hermes M.","da Silva-Junior",
email = "hermes@ccet.ufrn.br",
role = c("aut", "cre")),
person("Damiao N.","da Silva",
email = "damiao@ccet.ufrn.br",
role = "aut"),
person("Silvia L. P.", "Ferrari",
email = "silviaferrari.usp@gmail.com",
role = "ctb"))
c( person("Johan", "Steen", email = "johan.steen@gmail.com", role =
c("aut", "cre")), person("Tom", "Loeys", email = "tom.loeys@ugent.be", role
= "aut"), person("Beatrijs", "Moerkerke", email =
"beatrijs.moerkerke@ugent.be", role = "aut"), person("Stijn",
"Vansteelandt", email = "stijn.vansteelandt@ugent.be", role = "aut"),
person("Joris", "Meys", email = "joris.meys@ugent.be", comment = "technical
support", role = "ctb"), person("Theis", "Lange", email =
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c(person("Patrick", "McCormick", role = c("aut", "cre"),
email = "patrick.mccormick@alum.mit.edu"),
person("Thomas", "Joseph", role = "aut",
email = "thomas.joseph@mountsinai.org"))
c(
person("Drew", "Schmidt", email="wrathematics@gmail.com", role=c("aut", "cre")),
person("Christian", "Heckendorf", role="ctb"),
person("Wei-Chen", "Chen", role="ctb"))
c(person(c("Sean", "C."), "Anderson", email =
"sean@seananderson.ca", role = c("aut", "cre")),
person(c("Jonathan", "W."), "Moore", role = "ctb"),
person(c("Michelle", "M."), "McClure", role = "ctb"),
person(c("Nicholas", "K."), "Dulvy", role = "ctb"),
person(c("Andrew", "B."), "Cooper", role = "ctb"))
person('Wolfgang', 'Viechtbauer', email = 'wvb@metafor-project.org', role = c('aut','cre'))
person("Marc J.", "Lajeunesse", email = "lajeunesse@usf.edu", role = c("aut", "cre"))
c(person("Guido","Schwarzer", email="sc@imbi.uni-freiburg.de", role=c("aut","cre")),
person("James","Carpenter", role="aut"),
person("Gerta","Rücker", role="aut"))
c(person("Oscar", "Perpinan Lamigueiro", email="oscar.perpinan@gmail.com", role=c('cre', 'aut')), person("Marcelo", "Pinho Almeida", email= "marcelopa@iee.usp.br", role='ctb'))
c(
person("Bob", "Rudis", email = "bob@rudis.net", role = c("aut", "cre")),
person("Ali", "Almossawi", role = c("ctb", "cph"), comment = "MetricsGraphics library"),
person("Hamilton", "Ulmer", role = c("ctb", "cph"), comment = "MetricsGraphics library"),
person("Mozilla", role = c("cph"), comment = "MetricsGraphics library"),
person("jQuery Foundation and contributors", role = c("ctb", "cph"), comment = "jQuery library")
)
person(c("Daniel", "T."), "Braithwaite",
role=c("aut", "cre"),
email="contact.dtb@gmail.com")
c(person("Yves", "Croissant", role = c("aut", "cre"), email = "yves.croissant@univ-reunion.fr"),
person("Fabrizio", "Carlevaro", role = "aut", email = "fabrizio.carlevaro@unige.ch"),
person("Stephane", "Hoareau", role = "aut", email = "sjlhoaro@univ-reunion.fr"))
c(person("Andrew", "Gelman", email = "gelman@stat.columbia.edu", role = "ctb"),
person("Jennifer", "Hill", email = "jennifer.hill@nyu.edu", role = "ctb"),
person("Yu-Sung", "Su", email = "suyusung@tsinghua.edu.cn", role = c("aut")),
person("Masanao", "Yajima", email = "my2167@columbia.edu", role = "ctb"),
person("Maria", "Pittau", email = "grazia@stat.columbia.edu", role = "ctb"),
person("Ben", "Goodrich", email = "benjamin.goodrich@columbia.edu", role = c("cre", "aut")),
person("Yajuan", "Si", email = "sophie2012@gmail.com", role = "ctb"),
person("Jon", "Kropko", email = "jkropko@gmail.com", role = "aut"))
c(person("Stef", "van Buuren", role = c("aut","cre"),
email = "stef.vanbuuren@tno.nl"),
person("Karin", "Groothuis-Oudshoorn", role = "aut",
email = "c.g.m.oudshoorn@utwente.nl"),
person("Alexander", "Robitzsch", role = "ctb",
email = "a.robitzsch@bifie.at"),
person("Gerko","Vink", role = "ctb",
email = "g.vink@uu.nl"),
person("Lisa","Doove", role = "ctb",
email = "lisa.doove@ppw.kuleuven.be"),
person("Shahab","Jolani", role = "ctb",
email = "s.jolani@uu.nl"))
c(person("Alexander", "Robitzsch", role =
c("aut","cre"), email = "a.robitzsch@bifie.at"))
c( person("Olaf", "Mersmann", role=c("aut", "cre"),
email="olafm@p-value.net"), person("Claudia", "Beleites",
role=c("ctb")), person("Rainer", "Hurling", role=c("ctb")),
person("Ari", "Friedman", role=c("ctb")))
c( person("Carlos J.", "Gil Bellosta", email="cgb@datanalytics.com", role=c('aut', 'cre')),
person("Carlos", "Neira", email = "cneirac@gmail.com", role="ctb"),
person("José Luis", "Cañadas Reche", email = "canadasreche@gmail.com", role="ctb"))
c(person("Quinn", "Payton", role="aut",
email = "Payton.Quinn@epa.gov"),
person("Tony", "Olsen",  role="aut",
email = "Olsen.Tony@epa.gov"),
person("Marc", "Weber",  role="ctb",
email = "Weber.Marc@epa.gov"),
person("Michael", "McManus",  role="ctb",
email = "McManus.Michael@epa.gov"),
person("Tom", "Kincaid", role=c("cre", "ctb"),
email = "Kincaid.Tom@epa.gov"))
c(person(given="Rick", family="Pechter",
email="rpechter@microstrategy.com", role=c("aut", "cre")))
c(person("Bob", "Carpenter", email = "gelman@stat.columbia.edu", role = "ctb"),
person("Ben", "Goodrich", email = "benjamin.goodrich@columbia.edu", role = c("cre", "aut")),
person("Yu-Sung", "Su", email = "sophie2012@gmail.com", role = "ctb"))
person("Marc", "Delord", , "mdelord@gmail.com", role = c("aut", "cre"))
c(person("Jeffrey", "Horner", role = "ctb"),
person("Yihui", "Xie", role = c("aut", "cre"), email = "xie@yihui.name"))
person(c("A. Jonathan R."), "Godfrey", role=c("aut", "cre"), email="a.j.godfrey@massey.ac.nz")
c(person("Michele", "Filosi", role = c("aut","cre" ), email
= "filosi@fbk.eu"), person("Roberto", "Visintainer", role =
"aut", email = "visintainer@fbk.eu"), person("Davide",
"Albanese", role = "aut", email = "albanese@fbk.eu"),
person("Samantha", "Riccadonna", role = "ctb", email =
"riccadonna@fbk.eu"), person("Giuseppe", "Jurman", role =
"ctb", email = "jurman@fbk.eu"), person("Cesare", "Furlanello",
role = "ctb", email = "furlan@fbk.eu"))
c(person("Revolution Analytics", role="aut"), person("Andrie", "de
Vries", role=c("aut", "cre"), email="andrie@revolutionanalytics.com"),
person("Alex", "Chubaty", role="ctb", email="alex.chubaty@gmail.com"))
c(
person("Johan", "Barthelemy", role = c("aut", "cre"), email = "johan@uow.edu.au"),
person("Thomas", "Suesse", role = "aut"),
person("Mohammad", "Namazi-Rad", role = "ctb"))
c( person("Phil", family="Chalmers", email =
"rphilip.chalmers@gmail.com", role = c("aut", "cre", "cph")),
person("Joshua", family="Pritikin", role=c('ctb')),
person("Alexander", family="Robitzsch", role=c('ctb')),
person("Mateusz", family="Zoltak", role=c('ctb')))
c( person("Phil", family="Chalmers", email =
"rphilip.chalmers@gmail.com", role = c("aut", "cre", "cph")))
c(
person("Tomaz","Stupnik",role=c("aut","cre"), email="tomaz.stupnik@guest.arnes.si"),
person("Maja","Pohar Perme",role="aut", email="maja.pohar@mf.uni-lj.si"))
c(person("Serge", "Iovleff", role = c("aut","cre"), email =
"Serge.Iovleff@stkpp.org"))
c(person("Georgios", "Papageorgiou", role = c("aut", "cre"),
email = "gpapageo@gmail.com"), person("John", "Hinde", role =
"aut", email = "john.hinde@nuigalway.ie"))
c( person("Y. Samuel", "Wang", email = "ysamwang@uw.edu", role =
c("aut","cre")), person("Elena A.", "Erosheva", email =
"erosheva@uw.edu", role = "aut"))
c(person("Christophe", "Ambroise", role="aut"), person("Gilles", "Grasseau", role="aut"), person("Mark", "Hoebeke", role="aut"), person("Pierre", "Latouche", role=c("aut", "cre"), email="pierre.latouche@univ-paris1.fr"), person("Vincent", "Miele", role="aut"), person("Franck", "Picard", role="aut"), person("LAPACK authors", role = "aut", comment = "copyrights apply to src/*.f"))
c(person("John","Lawson", role=c("aut","cre"), email="lawson@byu.edu"),
person("Cameron","Willden", role="aut", email="ccwillden@gmail.com"),
person("Greg","Piepel", role="ctb", email="greg.piepel@pnnl.gov")
)
c(person("Kristian Hovde", "Liland", role = c("aut","cre"), email="kristian.liland@nmbu.no"),
person("Solve", "Sæbø", role=c("ctb")), person(family="R-Core", role="ctb"))
c(person(given="Patrick", family="Mair", email="mair@fas.harvard.edu", role=c("cre","aut")),
person(given="Marcus", family="Hudec", role="aut"))
c(person("Volodymyr", "Melnykov", role = c("aut", "cre"), email =
"vmelnykov@cba.ua.edu"), person("Wei-Chen", "Chen", role =
"aut"), person("Ranjan", "Maitra", role = "aut"))
c(person("Derek", "Young", role = c("aut", "cre"),
email = "derek.young@uky.edu"),
person("Tatiana", "Benaglia", role = "aut"),
person("Didier", "Chauveau", role = "aut"),
person("David", "Hunter", role = "aut"),
person("Ryan", "Elmore", role = "ctb"),
person("Thomas", "Hettmansperger", role = "ctb"),
person("Hoben", "Thomas", role = "ctb"),
person("Fengjuan", "Xuan", role = "ctb"))
c(person("Johannes", "Ranke", role = c("aut", "cre", "cph"),
email = "jranke@uni-bremen.de"),
person("Katrin", "Lindenberger", role = "ctb"),
person("René", "Lehmann", role = "ctb"),
person("Eurofins Regulatory AG", role = "cph"))
person("Matthias", "Kohl", role = c("aut", "cre"),
email = "Matthias.Kohl@stamats.de")
c(person("Ken", "Knoblauch", role = c("aut", "cre"),
email = "ken.knoblauch@inserm.fr"),
person(c("Laurence", "T."), "Maloney", role = "aut"))
c( person("David", "Charte", email = "fdavidcl@outlook.com", role =
"cre"), person("Francisco", "Charte", email = "francisco@fcharte.com", role
= "aut"))
person("Yves", "Croissant", role = c("aut", "cre"), email = "yves.croissant@univ-reunion.fr")
c(person("Bernd", "Bischl", email = "bernd_bischl@gmx.net", role =
c("aut", "cre")), person("Michel", "Lang", email =
"michellang@gmail.com", role = "aut"), person("Jakob", "Richter", email =
"code@jakob-r.de", role = "aut"), person("Jakob", "Bossek",
email = "jakob.bossek@tu-dortmund.de", role = "aut"), person("Leonard",
"Judt", email = "leonard.judt@tu-dortmund.de", role = "aut"),
person("Tobias", "Kuehn", email = "tobi.kuehn@gmx.de", role = "aut"),
person("Erich", "Studerus", email = "erich.studerus@upkbs.ch", role =
"aut"), person("Lars", "Kotthoff", email =
"larsko@cs.ubc.ca", role = "aut"), person("Zachary", "Jones", email =
"zmj@zmjones.com", role = "ctb"))
c(
person( "Marc", "Lavielle", role = c("aut","cre"), email = "Marc.Lavielle@inria.fr" ),
person( "Raphael", "Kuate", role = "ctb", email = "raphael.kuate@inria.fr"),
person( "Romain", "Francois", role = "ctb", email = "romain@r-enthusiasts.com"),
person( "Fazia", "Bellal", role = "ctb" )
)
c(
person("David", "Winter", email = "david.winter@gmail.com", role = c("aut",  "cre")),
person("Peter", "Green", email = "pitakakariki@gmail.com", role = "ctb"),
person("Zhian", "Kamvar", email = "kamvarz@science.oregonstate.edu", role = "ctb")
)
c(person("Alan","Genz",role="ctb"),
person("Adelchi","Azzalini",role="ctb"),
person("Alexis","Bienvenüe",role=c("aut","cre"),
email="alexis.bienvenue@univ-lyon1.fr"),
person("Christian","Robert",role="aut"))
c(person("Miroslav","Šiman", role=c("aut")),
person("Pavel","Boček", role=c("aut", "cre"), email="bocek@utia.cas.cz"))
c(person("Hannes Muehleisen", role = c("aut", "cre"),email = "hannes@cwi.nl"),
person("Thomas Lumley", role = "ctb"),
person("Anthony Damico", role = "ctb"))
c(
person("Jeroen", "Ooms", ,"jeroen.ooms@stat.ucla.edu", role = c("aut", "cre")),
person("MongoDB, Inc", role = "cph", comment = "Author of mongo-c-driver")
)
c(person(c("Berwin", "A."), "Turlach",
role=c("aut", "cre"),
email = "Berwin.Turlach@gmail.com"),
person("Kevin", "Murray",
role="ctb",
email = "Kevin.Murray@uwa.edu.au")
)
c(
person("Stefan", "Schlager",, "stefan.schlager@uniklinik-freiburg.de", c("aut", "cre", "cph")),
person("Gregory", "Jefferis",,, c("ctb"))
)
c(person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org"),
person("Bettina", "Grün", role = "aut"))
c(person("Garth", "Tarr", role = c("aut", "cre"), email = "garth.tarr@gmail.com"), person("Samuel", "Mueller", role = "aut", email = "samuel.mueller@sydney.edu.au"), person("Alan", "Welsh", role = "aut", email = "alan.welsh@anu.edu.au"))
c(person("Michael", "Hallquist", role = c("aut", "cre"),
email = "michael.hallquist@gmail.com"),
person("Joshua", "Wiley", role = "aut",
email = "jwiley.psych@gmail.com"))
person("David", "Kahle", email = "david.kahle@gmail.com", role = c("aut", "cre"))
c(person(given = "Florian", family = "Wickelmaier",
role = c("aut", "cre"), email = "wickelmaier@web.de"),
person(given = "Achim", family = "Zeileis", role = "aut"))
c(person("Henrik", "Singmann", role = c("aut", "cre"),
email = "singmann+mptinr@gmail.com"),
person("David", "Kellen", role =  "aut"),
person("Quentin", "Gronau", role =  "aut"),
person("Christian", "Mueller", role =  "ctb"),
person("Akhil S", "Bhel", role =  "ctb"))
c(
person("Trent", "McDonald", email="tmcdonald@west-inc.com", role=c("cre","aut")),
person("Eric", "Regehr", email="eric_regehr@fws.gov", role=c("ctb")),
person("Jeff", "Bromaghin", email="jbromaghin@usgs.gov", role=c("ctb"))
)
c(person("Andres", "Perez-Figueroa", role = c("aut", "cre"), email = "anpefi@uvigo.es"))
c(person("Patrick", "Brandt", role=c("aut", "cre"),
email="pbrandt@utdallas.edu"),
person("W. Ryan", "Davis", role=c("ctb")))
c(person("John", "Marden", role = c("aut", "cph"),
email = "jimarden@illinois.edu"),
person("James", "Balamuta", role = c("cre", "ctb",
"com"),email = "james.balamuta@gmail.com"))
c(person("Juhui", "WANG", role = c("aut", "cre"),
email = "Juhui.Wang@jouy.inra.fr",
comment = "Software and Engineering"),
person("Hervé", "MONOD", role = "aut",
email = "Herve.Monod@jouy.inra.fr",
comment = "Applications and Statistical Methods"),
person("Robert", "FAIVRE", role = "ctb",
email = "faive@toulouse.inra.fr",
comment = "Applications and Statistical Methods"),
person("Hervé", "RICHARD", role = "ctb",
email = "Herve.Richard@avignon.inra.fr",
comment = "Software and Engineering")
)
c(person("Thomas J.", "Leeper", role = c("aut", "cre"),
email = "thosjleeper@gmail.com"),
person("Solomon", "Messing", role = "ctb"),
person("Sean", "Murphy", role = "ctb"),
person("Jonathan", "Chang", role = "ctb"))
person("Justin", "Alford", , "justin.alford@gmail.com", role = c("aut", "cre"))
c(person("Torsten", "Hothorn", role = c("aut", "cre"),
email = "Torsten.Hothorn@R-project.org"),
person("Frank", "Bretz", role = "aut"),
person("Peter", "Westfall", role = "aut"),
person("Richard M.", "Heiberger", role = "ctb"),
person("Andre", "Schuetzenmeister", role = "ctb"),
person("Susan", "Scheibe", role = "ctb"))
c(person("Brett T.", "McClintock", email = "brett.mcclintock@noaa.gov",role = c("aut", "cre")),person("Acho", "Arnold",role = c("ctb","cph"), comment = "C original matrix library, https://github.com/najela/matrix.h"),person("Barry", "Brown",role = "ctb", comment = "Fortran original ranlib library"),person("James", "Lovato",role = "ctb", comment = "Fortran original ranlib library"),person("John", "Burkardt",role = "ctb", comment = "C original ranlib library, http://people.sc.fsu.edu/~jburkardt/c_src/ranlib"),person("Cleve", "Moler",role = "ctb", comment = "C original linpack library, http://www.kkant.net/geist/ranlib/"))
c(person(given = "Jose", family = "Gama", role = c("aut","cre","trl"),email = "rxprtgama@gmail.com"),
person(given = "Paul", family = "Centore", role = c("aut","cph"),email = "centore@99main.com"))
c(person("Selcuk", "Korkmaz", role = c("aut", "cre"),
email = "selcuk.korkmaz@hacettepe.edu.tr"),
person("Dincer", "Goksuluk", role = "aut",
email = "dincer.goksuluk@hacettepe.edu.tr"),
person("Gokmen", "Zararsiz", role = "aut",
email = "gokmen.zararsiz@hacettepe.edu.tr"))
c(person("Jean-Eudes", "Dazard",
role = c("aut", "cre"),
email = "jxd101@case.edu"),
person("Hua", "Xu",
role = "ctb",
email = "huaxu77@gmail.com"),
person("Alberto", "Santana",
role = "ctb",
email = "ahs4@case.edu"))
c(person("Alan", "Genz", role = "aut"),
person("Frank", "Bretz", role = "aut"),
person("Tetsuhisa", "Miwa", role = "aut"),
person("Xuefei", "Mi", role = "aut"),
person("Friedrich", "Leisch", role = "ctb"),
person("Fabian", "Scheipl", role = "ctb"),
person("Bjoern", "Bornkamp", role = "ctb"),
person("Martin", "Maechler", role = "ctb"),
person("Torsten", "Hothorn", role = c("aut", "cre"),
email = "Torsten.Hothorn@R-project.org"))
c(person("Jan", "Wijffels", role = c("aut", "cre"), email =
"jwijffels@bnosac.be"))
c(person("Cole", "Beck", role = c("aut", "cre"),
email = "cole.beck@vanderbilt.edu"),
person("Bo", "Lu", role = "aut"),
person("Robert", "Greevy", role = "aut"))
c(person("Chayan", "Acharya", role = c("aut", "cre"), email =
"chayan.acharya@farmbio.uu.se"), person("Andrew C.", "Hooker", role =
"aut"), person("Siv", "Jonsson", role = "aut"), person("Mats O.",
"Karlsson", role = "aut"))
c(person("Antti Arppe", role = "aut", email = "arppe@ualberta.ca"), person("Peter Hendrix",role = "aut", email = "peter.hendrix@gmail.com"), person("Petar Milin", role = "aut", email = "pmilin@gmail.com"), person("R. Harald Baayen", role = "aut", email = "harald.baayen@uni-tuebingen.de"), person("Cyrus Shaoul", role = c("aut","cre"), email = "cyrus.shaoul@uni-tuebingen.de"))
c(
person("Skye", "Bender-deMoll", role=c("cre","aut"), email="skyebend@uw.edu"),
person("Martina", "Morris", role=c("ctb"), email="morrism@u.washington.edu"))
c(person(given = c("Simon", "J."), family = "Goring",
role = c("aut", "cre"), email = "goring@wisc.edu"),
person(given = c("Gavin", "L."), family = "Simpson", role = "aut"),
person(given = c("Jeremiah", "P."), family = "Marsicek", role = "ctb"),
person(given = "Karthik", family = "Ram", role = "aut"),
person(given = "Luke", family = "Sosalla", role = "ctb"))
person(c("Douglas", "G."), "Scofield", email = "douglasgscofield@gmail.com", role = c("aut", "cre"))
c(person("Jakob", "Bossek", email = "j.bossek@gmail.com", role =
c("aut", "cre")))
c(person("Gerta","Rücker", role="aut"),
person("Guido","Schwarzer", email="sc@imbi.uni-freiburg.de", role=c("aut","cre")),
person("Ulrike","Krahn", role="aut"), person("Jochem","König", role="aut"))
c(person("Michele","Filosi",role=c("aut","cre"), email = "filosi@fbk.eu"),
person("Roberto", "Visintainer", role = "aut", email = "visintainer@fbk.eu"),
person("Samantha", "Riccadonna", role = "aut", email = "samantha.riccadonna@fmach.it"),
person("Giuseppe", "Jurman", role = "ctb", email = "jurman@fbk.eu"),
person("Cesare", "Furlanello", role = "ctb", email = "furlan@fbk.eu"))
c(
person("Carter T.", "Butts", role=c("aut","cre"), email="buttsc@uci.edu"),
person("David", "Hunter", role=c("ctb"), email="dhunter@stat.psu.edu"),
person("Mark", "Handcock", role=c("ctb"), email="handcock@stat.ucla.edu"),
person("Skye", "Bender-deMoll", role=c("ctb"), email="skyebend@uw.edu"),
person("Jeffrey", "Horner", role=c("ctb"), email="jeffrey.horner@gmail.com"))
c(
person("Christopher", "Gandrud", email = "christopher.gandrud@gmail.com",
role = c("aut", "cre")),
person("J.J.", "Allaire", role = "aut"),
person("Kent", "Russel", role = "aut"),
person("B.W.", "Lewis", role = "ctb"),
person("Kevin", "Kuo", role = "ctb"),
person("Charles", "Sese", role = "ctb"),
person("Peter", "Ellis", role = "ctb")
)
c(
person("Carter T.", "Butts", role=c("aut"), email="buttsc@uci.edu"),
person("Ayn", "Leslie-Cook", role=c("aut"), email="aynlc3@uw.edu"),
person("Pavel N.", "Krivitsky", role=c("aut"), email="pavel@uow.edu.au"),
person("Skye", "Bender-deMoll", role=c("aut","cre"), email="skyebend@uw.edu"),
person("Zack", "Almquist", role=c("ctb"), email="almquist@uci.edu"),
person("David R.", "Hunter", role=c("ctb"), email="dhunter@stat.psu.edu"),
person("Li","Wang",role=c("ctb"),email="lxwang@gmail.com"),
person("Kirk","Li",role=c("ctb"),email="kirkli@uw.edu"),
person("Steven M.","Goodreau",role=c("ctb"),email="goodreau@uw.edu"),
person("Jeffrey", "Horner", role=c("ctb"), email="jeffrey.horner@gmail.com"),
person("Martina", "Morris", role=c("ctb"), email="morrism@u.washington.edu"))
c(
person("Skye", "Bender-deMoll", role=c("cre","aut"), email="skyebend@uw.edu"))
person(given = "Marcus W.", family = "Beck",
role = c("aut","cre"),
email = "mbafs2012@gmail.com")
c(person("Martin", "Lysy", role = c("aut", "cre"),
email = "mlysy@uwaterloo.ca"),
person("Ashley D.", "Stasko", role = c("aut", "ctb")),
person("Heidi K.", "Swanson", role = c("aut", "ctb")))
c(person("José", "Pinheiro", role = "aut", comment = "S version"),
person("Douglas", "Bates", role = "aut", comment = "up to 2007"),
person("Saikat", "DebRoy", role = "ctb", comment = "up to 2002"),
person("Deepayan", "Sarkar", role = "ctb", comment = "up to 2005"),
person("EISPACK authors", role = "ctb", comment = "src/rs.f"),
person("R-core", email = "R-core@R-project.org",
role = c("aut", "cre")))
c( person(given = c("John", "C."), family = "Nash", role =
c("aut", "cre"), email = "nashjc@uottawa.ca"))
person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org")
c(person("Nora", "Umbach",
role = c("aut", "cre"),
email = "nora.umbach@web.de"),
person("Katharina", "Naumann",
role = "aut"),
person("David", "Hoppe",
role = "aut"),
person("Holger", "Brandt",
role = "aut"),
person("Augustin", "Kelava",
role="ctb"),
person("Bernhard", "Schmitz",
role="ctb"))
person("Enrico", "Schumann",
role = c("aut", "cre"),
email = "es@enricoschumann.net")
c(person("Constantino A.", "Garcia",
email = "constantinoantonio.garcia@usc.es",
role = c("aut", "cre")),
person("Gunther", "Sawitzki",
role = "ctb"))
c(person("Susanne","Stampf", role=c("cre","aut"), email = "susanne.stampf@usb.ch"))
c(person(given = "Heikki", family = "Tuomenvirta", role = "aut"),
person(given = "Achim", family = "Drebs", role = "aut"),
person(given = "Eirik", family = "Førland", role = "aut"),
person(given = "Ole", family = "Einar Tveito", role = "aut"),
person(given = "Hans", family = "Alexandersson", role = "aut"),
person(given = "Ellen", family = "Vaarby Laursen", role = "aut"),
person(given = "Trausti", family = "Jónsson", role = "aut"),
person(given = "Jose", family = "Gama", role = "cre",email = "rxprtgama@gmail.com"))
person("Po", "Su", email = "desolator@sjtu.edu.cn",
role = c("aut", "cre"))
c(person("Juergen", "Gross", role = "aut", email = "gross@statistik.tu-dortmund.de"),
person("Uwe", "Ligges", role = c("aut", "cre"), email = "ligges@statistik.tu-dortmund.de"))
c(person(given = "Jeffrey S.", family = "Racine", role = c("aut","cre"), email = "racinej@mcmaster.ca"),
person(given = "Tristen", family = "Hayfield", role = c("aut"), email = "tristen.hayfield@gmail.com"))
person("Devin", "Caughey", email="devin.caughey@gmail.com", role=c("aut", "cre"))
c(person("Yi", "Zheng", role = c("aut", "cre"), email = "yi.isabel.zheng@asu.edu"), person("Chia-Yi", "Chiu", role = "aut"), person("Jeffrey A.", "Douglas", role = "ctb", email = "jeffdoug@illinois.edu"))
c(person(given="Frederic", family="Commo", role=c("aut", "cre"), email="fredcommo@gmail.com"),
person(given="Brian M.", family="Bot", role="aut"))
c( person("Christian", "Sigg", email =
"christian@sigg-iten.ch", role = c("aut", "cre")), person("R
Core team", role = "aut"))
c(person("Alberto", "Viglione", role=c("aut", "cre"), email="viglione@hydro.tuwien.ac.at"),
person("Jonathan R. M.", "Hosking", role="ctb"),
person("Francesco", "Laio", role="ctb"),
person("Alan", "Miller", role="ctb"),
person("Eric", "Gaume", role="ctb"),
person("Olivier", "Payrastre", role="ctb"),
person("Jose Luis", "Salinas", role="ctb"),
person("Chi Cong", "N'guyen", role="ctb"),
person("Karine", "Halbert", role="ctb"))
c(person("Dan", "Kelley", email="Dan.Kelley@Dal.Ca", role=c("aut", "cre")),
person("Clark", "Richards", email="clark.richards@gmail.com", role=c("aut")),
person("Chantelle", "Layton", email="chantelle.layton@dal.ca", role=c("ctb","cph"), comment="curl() coauthor"),
person("Gerald", "Evenden", role=c("ctb","cph"), comment="PROJ.4 author"),
person("Frank", "Warmerdam", email="warmerdam@pobox.com", role=c("ctb","cph"), comment="PROJ.4 author"),
person("Howard", "Butler", email="howard@hobu.co", role=c("ctb","cph"), comment="PROJ.4 author"),
person("Brent", "Fraser", email="bfraser@geoanalytic.com", role=c("ctb","cph"), comment="PROJ.4 contributor"),
person("Chris", "Stuber", email="imap@chesapeake.net", role=c("ctb","cph"), comment="PROJ.4 contributor"),
person("Craig", "Bruce", email="cbruce@cubewerx.com", role=c("ctb","cph"), comment="PROJ.4 contributor"),
person("Victor", "Osipkov", email="vctos@email.com", role=c("ctb","cph"), comment="PROJ.4 contributor"),
person("Andrea", "Antonello", email="andrea.antonello@hydrologis.com", role=c("ctb","cph"), comment="PROJ.4 contributor"),
person("Charles", "Karney", email="charles.karney@sri.com", role=c("ctb","cph"), comment="PROJ.4 contributor"),
person("Karsten", "Engsager", role=c("ctb","cph"), comment="PROJ.4 contributor"),
person("Knud", "Poder", role=c("ctb","cph"), comment="PROJ.4 contributor"),
person("Robert", "Gentleman", role=c("ctb","cph"), comment="author of approx() code, used in binmapAdp()"),
person("Ross", "Ihaka", role=c("ctb","cph"), comment="author of approx() code, used in binmapAdp()"))
c(person("Benjamin", "Jones", role = c("aut", "cre"),
email = "btjones16@gmail.com"))
c(person('Phil', 'Chalmers',
email='rphilip.chalmers@gmail.com',
role=c('cre', 'aut')),
person('Carrie', 'Smith',
email='carrie.elizabeth@gmail.com',
role=c('ctb')),
person('Matthew', 'Sigal',
email='matthewsigal@gmail.com',
role=c('ctb')))
c(person("Gabriel", "Margarido", role = "aut", email =
"gramarga@gmail.com"), person("Marcelo", "Mollinari", role =
c("aut", "cre"), email = "mmollina@usp.br"), person("Karl",
"Broman", role = "ctb", email = "kbroman@biostat.wisc.edu"),
person("Augusto", "Garcia", role = "ctb", email =
"augusto.garcia@usp.br"))
c(person("David", "Carslaw", role = c("aut", "cre"), email =
"david.carslaw@york.ac.uk"), person("Karl", "Ropkins", role =
"aut", email = "K.Ropkins@its.leeds.ac.uk"))
c(person(c("Steven", "M."), "Boker", role="aut"),
person(c("Michael", "C."), "Neale", role="aut"), person(c("Hermine", "H."),
"Maes", role="aut"), person(c("Michael", "J."), "Wilde", role="ctb"), person("Michael",
"Spiegel", role="aut"), person(c("Timothy", "R."), "Brick", role="aut"),
person("Ryne", "Estabrook", role="aut"), person(c("Timothy", "C."),
"Bates", role="aut"), person("Paras", "Mehta", role="ctb"), person("Timo", c("von",
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person(c("Michael", "D."), "Hunter", role="aut"), person(c("Daniel", "C."), "Hackett", role="ctb"),
person("Julian", "Karch", role="ctb"), person(c("Andreas", "M."), "Brandmaier", role="ctb"),
person(c("Joshua", "N."), "Pritikin", email="jpritikin@pobox.com",
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person(c("Robert", "M."), "Kirkpatrick", role="aut"),
person(c("Yang"), "Wang", role="ctb"),
person(c("Charles"), "Driver", email="driver@mpib-berlin.mpg.de", role="ctb"))
c(person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org"),
person("The Apache Software Foundation",
role = c("ctb", "cph"),
comment = "Apache OpenNLP Java libraries"),
person("JWNL development team",
role = c("ctb", "cph"),
comment = "JWNL Java WordNet Library"))
person("Mark", "Heckmann", email = "heckmann@uni-bremen.de",
role = c("aut", "cre"))
c(
person("Alexander", "Walker",
email = "Alexander.Walker1989@gmail.com", role = c("aut", "cre")),
person("Luca", "Braglia", role = "ctb"))
c( person(given = c("John", "C."), family = "Nash", role =
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c(person("James", "Wason", email = "james.wason@mrc-bsu.cam.ac.uk",
role = c("aut", "cre")),person("John","Burkardt",role="ctb"))
c( person(given = c("John", "C"), family = "Nash", role =
c("aut", "cre"), email = "nashjc@uottawa.ca"), person(given =
"Ravi", family = "Varadhan", role = "aut", email =
"RVaradhan@jhmi.edu"), person(given = "Gabor", family =
"Grothendieck", role = "ctb", email =
"ggrothendieck@gmail.com") )
c(
person("Stephanie", "Locke",
email = "stephanie.locke@optimumcredit.co.uk", role = c("aut", "cre")))
c(person("Manuel", "Fontenla", role = c("aut", "cre"),
email = "manu.fontenla@gmail.com"))
person(given="Rune Haubo Bojesen", family="Christensen",
email="rune.haubo@gmail.com", role=c("aut", "cre"))
c(person("Maurizio Manuguerra", role = c("aut", "cre"),
email = "maurizio.manuguerra@mq.edu.au"),
person("Gillian Heller", role = "aut", email = "gillian.heller@mq.edu.au"))
c(person("Brandon", "Whitcher", role = c("aut", "cre"),
email = "bwhitcher@gmail.com"))
c(person("Brandon", "Whitcher", role = c("aut", "cre"),
email = "bwhitcher@gmail.com"),
person("Volker", "Schmid", role = "aut", email="volker.schmid@lmu.de"),
person("Andrew", "Thornton", role = "aut", email = "zeripath@gmail.com"),
person("Karsten", "Tabelow", role = "ctb",
email = "karsten.tabelow@wias-berlin.de"),
person("Jon", "Clayden", role = "ctb", 	email = "code@clayden.org"),
person("John", "Muschelli", role = "ctb", email = "muschellij2@gmail.com"))
c(person(given = "Soo-Heang", family = "Eo", role = c("aut","cre"),
email = "eo.sooheang@gmail.com"),
person(given = "Huixia Judy", family = "Wang", role = "ctb"),
person(given = "Lan", family = "Wang", role = "ctb"),
person(given = "HyungJun", family = "Cho", role = "aut",
email = "hj4cho@korea.ac.kr"))
c(person(given = "Soo-Heang", family = "Eo", role = c("aut","cre"),
email = "eo.sooheang@gmail.com"),
person(given = "HyungJun", family = "Cho", role = "aut",
email = "hj4cho@korea.ac.kr"))
c(person("Bill", "Venables", role = "aut",
email = "Bill.Venables@adelaide.edu.au",
comment = "S original"),
person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org",
comment = "R port"))
c(person("Yang", "Lu", role = c("aut", "cre"),
email = "yang.lu2014@gmail.com"),
person("David", "Kane", role = c("aut"),
email = "dave.kane@gmail.com"))
c(
person("Michael", "Bedward", role = c("aut", "cre"), email = "michael.bedward@gmail.com"),
person("David", "Eppstein", role = "aut", email = "david.eppstein@gmail.com",
comment = "Original author of Python code for graph-based circle packing ported to C++ for this package"))
c(person("Tyler", "Rinker",
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email = "tyler.rinker@gmail.com"),
person("Dason", "Kurkiewicz",
role = c("aut", "ctb"),
email = "dasonk@iastate.edu"))
person("Garth", "Tarr", , "garth.tarr@gmail.com", role = c("aut", "cre"))
c(person("Frank", "Schaarschmidt", role=c("aut", "cre"),
email="schaarschmidt@biostat.uni-hannover.de"),
person( "Daniel", "Gerhard", role="aut"))
c(person("Sara", "Varela", role = c("aut", "cre"),
email = "svarela@paleobiogeography.org"),
person("Javier", "González Hernández", role = "aut",
email = "javigzz@yahoo.es"),
person("Luciano", "Fabris Sgarbi", role = "aut",
email = "luciano.f.sgarbi@gmail.com"))
person("Michael D.","Sumner", role = c("aut", "cre"), email =
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as.person(c('Matthias Bannert <bannert@kof.ethz.ch> [aut,
cre]','Gabriel Bucur <bucur@kof.ethz.ch> [aut]'))
c(person("Bernd", "Bischl", email = "bernd_bischl@gmx.net", role =
c("aut", "cre")), person("Michel", "Lang", email =
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email = "jakob.bossek@tu-dortmund.de", role = "aut"), person("Daniel",
"Horn", email = "daniel.horn@tu-dortmund.de", role = "aut"))
c(person("Sahil", "Seth", role = c("aut", "cre"), email =
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c(
person("Antonio Jose", "Saez-Castillo", role = c("aut", "cre"), email = "ajsaez@ujaen.es"),
person("Faustino", "Prieto", role = "aut", email = "faustino.prieto@unican.es"),
person("Jose Maria", "Sarabia", role = "aut", email = "jose.sarabia@unican.es"))
c(person("Alberto", "Arcagni", role = c("aut", "cre"), email = "alberto.arcagni@unimib.it"), person("Marco", "Fattore", role = c("ctb")))
c(person("Torsten", "Hothorn", role = c("aut", "cre"),
email = "Torsten.Hothorn@R-project.org"),
person("Kurt", "Hornik", role = "aut"),
person("Carolin", "Strobl", role = "aut"),
person("Achim", "Zeileis", role = "aut"))
c(person(given = "Torsten", family = "Hothorn", role = c("aut", "cre"), email = "Torsten.Hothorn@R-project.org"),
person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org"))
c(person("Philippe", "Grosjean", role = c("aut", "cre"),
email = "phgrosjean@sciviews.org"),
person("Frederic", "Ibanez", role = "aut",
email = "ibanez@obs-vlfr.fr"),
person("Michele", "Etienne", role = "ctb",
email = "etienne@obs-vlfr.fr"))
c(person(given="Gavin", family="Thomas",
email="gavin.thomas@sheffield.ac.uk", role=c("aut", "cre")))
c(person(given="Jan", family="Gleixner",
email="jan.gleixner@gmail.com", role="aut"),
person(given="Daniel", family="Hicks", role="ctb"),
person(given="Emmanuel", family="Charpentier",
email="emm.charpentier@free.fr", role=c("aut", "cre")))
c(
person("Gaston", "Sanchez",
email = "gaston.stat@gmail.com", role=c("aut", "cre")),
person("Tomas", "Aluja", role=c("aut", "ths")))
c(person("Richard", "Cotton", role = c("aut", "cre"),
email = "richierocks@gmail.com"), person("Janko", "Thyson", role = "ctb"))
c(person("Rafael", "Maia", role = c("aut", "cre"),
email = "rm72@zips.uakron.edu"),
person("Chad", "Eliason", role = "aut",
email = "cme16@zips.uakron.edu"),
person("Pierre-Paul", "Bitton", role = "aut",
email = "bittonp@uwindsor.ca"))
c(person("Drew", "Schmidt", role = c("aut", "cre"), email =
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"aut"), person("George", "Ostrouchov", role = "aut"),
person("Pragneshkumar", "Patel", role = "aut"))
c(person("Drew", "Schmidt", role = c("aut", "cre"), email =
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"aut"), person("George", "Ostrouchov", role = "aut"),
person("Pragneshkumar", "Patel", role = "aut"),
person("R Core team", role = "ctb", comment = "some wrappers
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c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email =
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person("George", "Ostrouchov", role = "aut"),
person("Drew", "Schmidt", role = "aut"),
person("Pragneshkumar", "Patel", role = "aut"),
person("Hao", "Yu", role = "aut"),
person("Christian", "Heckendorf", role = "ctb", comment = "FreeBSD"),
person("Brian", "Ripley", role = "ctb", comment = "Windows HPC Pack
2012"),
person("R Core team", role = "ctb", comment = "some functions are
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c(person("Pragneshkumar", "Patel", role = c("aut", "cre"), email =
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person("George", "Ostrouchov", role = "aut"),
person("Wei-Chen", "Chen", role = "aut"),
person("Drew", "Schmidt", role = "aut"),
person("David", "Pierce", role = "aut"))
c(person("Wei-Chen", "Chen", role = c("aut", "cre"),
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person("Drew", "Schmidt", role = "aut"),
person("Gaurav", "Sehrawat", role="aut"),
person("Pragneshkumar", "Patel", role = "aut"),
person("George", "Ostrouchov", role ="aut"))
c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email =
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person("George", "Ostrouchov", role = "aut"),
person("Pragneshkumar", "Patel", role = "aut"),
person("Brian", "Ripley", role = "ctb", comment = "Solaris & Mac"))
c(person("Przemyslaw", "Biecek", role = c("aut", "cre"),
email = "przemyslaw.biecek@gmail.com"))
c(
person(c("Jon", "T."), "Schnute", role = "aut", email = "schnutej-dfo@shaw.ca"),
person("Nicholas", "Boers", role = "aut", email = "boersn@macewan.ca"),
person("Rowan", "Haigh", role = c("aut", "cre"), email = "rowan.haigh@dfo-mpo.gc.ca"),
person("Alex", "Couture-Beil", role = "ctb"),
person("Denis", "Chabot", role = "ctb", email = "denis.chabot@dfo-mpo.gc.ca"),
person("Chris", "Grandin", role = "ctb", email = "chris.grandin@dfo-mpo.gc.ca"),
person("Angus", "Johnson", role = "ctb"),
person("Paul", "Wessel", role = "ctb"),
person("Franklin", "Antonio", role = "ctb"),
person(c("Nicholas", "J."), "Lewin-Koh", role = "ctb"),
person("Roger", "Bivand", role = "ctb"))
c(person("Markus","Kalisch",
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person("Diego", "Colombo", role="ctb"), person("Doris", "Entner", role="ctb"),
person("Patrik","Hoyer", role="ctb"),   person("Antti", "Hyttinen", role="ctb"),
person("Jonas", "Peters", role="ctb"))
c(person("Albart", "Coster", role = c("aut", "cre"), email =
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c(
person("Alessandro", "Samuel-Rosa", role = c("aut", "cre"),
email = "alessandrosamuelrosa@gmail.com"),
person("Lúcia", "Anjos", role = "ths",
email = "lanjos@ufrrj.br"),
person("Gustavo", "Vasques", role = "ths",
email = "gustavo.vasques@embrapa.br"),
person("Gerard", "Heuvelink", role = "ths",
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person("Tony", "Olsen", role = "ctb",
email = "Olsen.Tony@epa.gov"),
person("Tom", "Kincaid", role = "ctb",
email = "Kincaid.Tom@epa.gov"),
person("Juan Carlos", "Ruiz Cuetos", role = "ctb",
email = "bilba_t@hotmail.com"),
person("Maria Eugenia", "Polo Garcia", role = "ctb",
email = "mepolo@unex.es"),
person("Pablo Garcia Rodriguez", role = "ctb",
email = "pablogr@unex.es"),
person("Joshua", "French", role = "ctb",
email = "joshua.french@ucdenver.edu"),
person("Ken", "Kleinman", role = "ctb",
email = "Ken_Kleinman@hms.harvard.edu"),
person("Dick", "Brus", role = "ctb",
email = "dick.brus@wur.nl"),
person("Frank", "Harrell Jr", role = "ctb",
email = "f.harrell@vanderbilt.edu"))
c(person("Emmanuel", "Paradis", role = c("aut", "cre", "cph"), email = "Emmanuel.Paradis@ird.fr"),
person("Thibaut", "Jombart", role = c("aut", "cph")),
person("Klaus", "Schliep", role = c("aut", "cph")),
person("Alastair", "Potts", role = c("aut", "cph")),
person("David", "Winter", role = c("aut", "cph")))
c(
person("Heike", "Hofmann", email = "hofmann@iastate.edu", role = "aut"),
person("Eric", "Hare", email = "erichare@iastate.edu", role = c("aut", "cre")),
person("GGobi Foundation", role = "aut"))
c(
person(given=c("Brian","G."),family="Peterson",role=c("cre","aut","cph"), email="brian@braverock.com")
, person(given="Peter",family="Carl",role=c("aut","cph"), email="peter@braverock.com")
, person(given="Kris",family="Boudt",role=c("ctb","cph"))
, person(given="Ross",family="Bennett",role="ctb")
, person(given="Joshua",family="Ulrich",role="ctb")
, person(given="Eric",family="Zivot",role="ctb")
, person(given="Matthieu",family="Lestel",role="ctb")
, person(given="Kyle",family="Balkissoon",role="ctb")
, person(given="Diethelm",family="Wuertz",role="ctb")
)
person("Luis", "Torgo", email = "ltorgo@dcc.fc.up.pt", role = c("aut", "cre"))
c(person(given = "Gavin L.", family = "Simpson",
email = "ucfagls@gmail.com",
role = c("aut", "cph", "cre")),
person(given = "R Core Team", role = "cph"),
person(given = "Douglas M.", family = "Bates", role = "ctb"),
person(given = "Jari", family = "Oksanen", role = "ctb"))
person("Andreas", "Alfons", email = "alfons@ese.eur.nl",
role = c("aut", "cre"))
c(person("Paul D.", "McNicholas", role = c("aut", "cre"), email = "mcnicholas@math.mcmaster.ca"), person("Aisha", "ElSherbiny", role = "aut"), person("K. Raju", "Jampani", role = "ctb"), person("Aaron F.", "McDaid", role = "aut"), person("T. Brendan", "Murphy", role = "aut"),person("Larry", "Banks", role = "ctb"))
c(
person(c("J.", "Aravind"),
email = "aravindj@nbpgr.ernet.in",
role = c("aut", "cre")),
person(c("J.", "Radhamani"),
email = "radhamani@nbpgr.ernet.in", role = "aut"),
person(c("Kalyani", "Srinivasan"),
email = "kalyani@nbpgr.ernet.in", role = "aut"),
person(c("B.", "Ananda", "Subhash"),
email = "anandasubhash@gmail.com", role = "aut"),
person(c("R.", "K.", "Tyagi"),
email = "rktyagi@nbpgr.ernet.in", role = "aut"))
c(person("Helios", "De Rosario-Martinez", role=c("aut", "cre"),
email="helios.derosario@gmail.com"),
person("John", "Fox", role="ctb"),
person("R Core Team", role="ctb"))
c(person("Michael", "Donohue", role = c("aut", "cre"),
email = "mdonohue@ucsd.edu"),
person("Ronghui", "Xu", role = "aut"))
person("Steve", "Myles", email = "steve@mylesandmyles.info", role = c("aut", "cre"))
c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email =
"wccsnow@gmail.com"), person("Karin", "Dorman", role =
"aut"))
c(person("Lam Si Tung", "Ho", role=c("aut", "cre"), email="lamho86@gmail.com"),
person("Cecile", "Ane", role="aut"),
person("Robert", "Lachlan", role="ctb"),
person("Kelsey", "Tarpinian",role="ctb"))
c(person("Constantinos", "Tsirogiannis", role = c("aut", "cre"),
email = "analekta@gmail.com"),
person("Brody", "Sandel", role = "aut"))
person("Jack O. Wasey", role=c("aut", "cre"), email="jack@jackwasey.com")
c(
person("Long", "Qu", role=c("aut", "cre","ctb"), email="long.qu@wright.edu"),
person("Kun", "Liang", role='ctb'),
person(list("Yudi","Alexander"), list("Pawitan", "Ploner"), role="aut", comment="The author(s) of OCplus::tMixture, which was modified slightly leading to discTMix in this package."),
person(list('Egil', 'Mette', 'Marcus'), list('Ferkingstad', 'Langaas', 'Davy') , role="aut", comment="The author(s) of limma::convest, which was modified slightly leading to convest in this package.")
)
c(person("Kevin", "Dunn", role = c("aut", "cre"),
email = "kevin.dunn@mcmaster.ca"))
c(person("Baptiste", "Auguie", email = "baptiste.auguie@gmail.com",
role = c("aut", "cre"), comment = "Some functions ported from the original
Matlab SPLAC code by E.C. Le Ru and P. G. Etchegoin"), person("Steven",
"Johnson", role = c("aut", "cph"), comment = "C code for the cubature
library"))
person("Adam", "Maidman",  role = c("cre","aut"), email =  "maidm004@umn.edu")
c(person(given = "Yves", family = "Croissant", role = c("aut", "cre"), email = "yves.croissant@univ-reunion.fr"),
person(given = "Giovanni", family = "Millo", role = "aut", email = "Giovanni_Millo@Generali.com"),
person(given = "Arne", family = "Henningsen", role = "ctb", email = "arne.henningsen@googlemail.com"),
person(given = "Ott", family = "Toomet", role = "ctb", email = "otoomet@gmail.com"),
person(given = "Christian", family = "Kleiber", role = "ctb", email = "Christian.Kleiber@unibas.ch"),
person(given = "Achim", family = "Zeileis", role = "ctb", email = "Achim.Zeileis@R-project.org"))
c(person(given = "Fuquan", family = "Zhang", email =
"zfq777@gmail.com", role = c("aut", "cre")))
c(person("Tomislav", "Hengl", role = c("cre", "aut"),
email = "tom.hengl@isric.org"),
person("Pierre", "Roudier", role = "ctb"),
person("Dylan", "Beaudette", role = "ctb"),
person("Edzer", "Pebesma", role = "ctb"),
person("Michael", "Blaschek", role = "ctb"))
c(person("Arni", "Magnusson", role=c("aut","cre"),
email="arnima@hafro.is"), person("Ian", "Stewart", role="aut"))
c(person("Bethany", "Kok", role = c('ctb')), person("Jolynn",
"Pek", role = c('ctb')), person("Sonya", "Sterba", role = c('ctb')),
person("Dan", "Bauer", role = c('ctb')), person("Phil", "Chalmers", email =
"rphilip.chalmers@gmail.com", role = c('cre', 'ctb')))
c(person("Opeoluwa F.","Oyedele", role = c("aut", "cre"), email =
"OpeoluwaOyedele@gmail.com"), person("Sugnet", "Gardner-Lubbe", role =
"aut"))
person("Gaston", "Sanchez", role=c("aut", "cre"), email =
"gaston.stat@gmail.com")
c(
person("Gaston", "Sanchez",
email = "gaston.stat@gmail.com", role = c("aut", "cre")),
person("Laura", "Trinchera", role = "aut"),
person("Giorgio", "Russolillo", role = "aut"))
person("Christoph", "Waldhauser", email="chw@kdss.at", role=c("aut",
"cre"))
person("Hadley", "Wickham", , "hadley@rstudio.com", c("aut", "cre"))
person('Carl', 'Boettiger', email='cboettig@gmail.com', role =c('aut', 'cre'))
c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email =
"wccsnow@gmail.com"), person("George", "Ostrouchov", role = "aut"))
c(person("Michaela", "Dvorzak", role = c("aut","cre"),
email = "m.dvorzak@gmx.at"),
person("Helga", "Wagner", role = "aut"))
c(person("David", "Kahle", email = "david.kahle@gmail.com", role = c("aut", "cre")),
person("Phil", "Young", email = "philip_young@baylor.edu", role = "aut"),
person("Dean", "Young", email = "dean_young@baylor.edu", role = "aut"))
c(person("Eunjeong", "Park", role = c("aut", "cre"),
email = "ejpark04@snu.ac.kr"),
person("Jong Hee", "Park", role = "aut",
email = "jongheepark@snu.ac.kr"))
c(person("Jeffrey B.", "Arnold", email = "jeffrey.arnold@gmail.com",
role = c("aut", "cre")),
person("Thomas J.", "Leeper", role = c("aut"),
email = "thosjleeper@gmail.com"))
c(person("Sebastian", "Meyer",
email = "Sebastian.Meyer@ifspm.uzh.ch",
role = c("aut","cre","trl")),
person("Leonhard", "Held",
email = "Leonhard.Held@uzh.ch",
role = "ths"),
person("Michael", "Hoehle",
email = "Michael.Hoehle@stat.uni-muenchen.de",
role = "ths"))
c(person("Bill", "Venables", role = "aut",
email = "Bill.Venables@adelaide.edu.au",
comment = "S original"),
person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org",
comment = "R port"),
person("Martin", "Maechler", role = "aut",
email = "maechler@stat.math.ethz.ch",
comment = "R port"))
person("Lindsay V.", "Clark", email = "lvclark@illinois.edu", role = c("aut", "cre"))
c(person(given=c("Aaron","A."),family="King",
role=c("aut","cre"),email="kingaa@umich.edu"),
person(given=c("Edward","L."),family="Ionides",role=c("aut")),
person(given=c("Carles"),family="Breto",role=c("aut")),
person(given=c("Stephen","P."),family="Ellner",role=c("ctb")),
person(given=c("Matthew","J."),family="Ferrari",role=c("ctb")),
person(given=c("Bruce","E."),family="Kendall",role=c("ctb")),
person(given=c("Michael"),family="Lavine",role=c("ctb")),
person(given="Dao",family="Nguyen",role=c("ctb")),
person(given=c("Daniel","C."),family="Reuman",role=c("ctb")),
person(given=c("Helen"),family="Wearing",role=c("ctb")),
person(given=c("Simon","N."),family="Wood",role=c("ctb"))
)
c(
person("Andrew C.","Hooker", email="andrew.hooker@farmbio.uu.se", role=c("aut","cre","trl","cph")),
person("Sebastian","Ueckert", role="aut", comment="MATLAB version"),
person("Marco","Foracchia", role="aut", comment="O-Matrix version"),
person("Joakim", "Nyberg", role="aut", comment="MATLAB version"),
person("Eric","Stroemberg", role="ctb", comment="MATLAB version")
)
c(	person("Bastian", "Pfeifer", role = c("aut", "cre"), email = "Bastian.Pfeifer@uni-duesseldorf.de"),
person("Ulrich", "Wittelsbuerger", role = "ctb"),
person("Heng", "Li", role = "ctb"),
person("Bob", "Handsaker", role = "ctb")			)
c(
person("Bernd", "Gruber", email="bernd.gruber@canberra.edu.au", role=c("aut","cre")),
person("Aaron", "Adamack", email="aaron.adamack@canberra.edu.au", role="aut"))
c(person("Daniel", "Bottomly", role=c("cre", "aut"), email="bottomly@ohsu.edu"),
person("Shannon", "McWeeney", role="aut"),
person("Beth", "Wilmot", role="aut"))
c(person(c("Zhian", "N."), "Kamvar", role = c("cre", "aut"),
email = "kamvarz@science.oregonstate.edu"),
person(c("Javier", "F."), "Tabima", role = "aut",
email = "tabimaj@onid.orst.edu"),
person(c("Jonah", "C."), "Brooks", role = "aut",
email = "brookjon@onid.orst.edu"),
person(c("Niklaus", "J."), "Grunwald", role = "ths",
email = "grunwaln@science.oregonstate.edu"))
c(person(c("Zhian", "N."), "Kamvar", role = c("cre", "aut"),
email = "kamvarz@science.oregonstate.edu"))
c(person("Lutz", "Hamel", role = c("aut", "cre"), email = "hamel@cs.uri.edu"),
person("Benjamin", "Ott", role = "aut"), person("Gregory", "Breard", role = "aut"))
c(
person(given=c("Brian","G."),family="Peterson",role=c("cre","aut","cph"),
email="brian@braverock.com") ,
person(given="Peter",family="Carl",role=c("aut","cph"),
email="peter@braverock.com") ,
person(given="Kris",family="Boudt",role=c("ctb","cph")) ,
person(given="Ross",family="Bennett",role=c("ctb","cph")) ,
person(given="Hezky",family="Varon",role="ctb") ,
person(given="Guy",family="Yollin",role="ctb") ,
person(given="R. Douglas",family="Martin",role="ctb") )
c(person("Detlew", "Labes", role = c("aut","cre"), email =
"DetlewLabes@gmx.de"),
person("Helmut", "Schuetz", role = c("ctb"), email =
"helmut.schuetz@bebac.at"))
person(given="Colin", family="Gillespie",
email="csgillespie@gmail.com", role = c("aut", "cre"))
c(person("Detlew", "Labes", role = c("aut","cre"), email =
"DetlewLabes@gmx.de"),
person("Helmut", "Schuetz", role = c("aut"), email =
"helmut.schuetz@bebac.at"),
person("Benjamin", "Lang", role=c("ctb")))
c(person(given = "Reinhold", family = "Hatzinger", role = "aut"),
person(given = c("Marco", "Johannes"), family = "Maier",
email = "marco.maier@wu.ac.at", role = "cre"))
c(person("Brecht", "Devleesschauwer",
role = c("aut", "cre"), email = "brechtdv@gmail.com"),
person("Paul", "Torgerson", role = "aut"),
person("Johannes", "Charlier", role = "aut"),
person("Bruno", "Levecke", role = "aut"),
person("Nicolas", "Praet", role = "aut"),
person("Sophie", "Roelandt", role = "aut"),
person("Suzanne", "Smit", role = "aut"),
person("Pierre", "Dorny", role = "aut"),
person("Dirk", "Berkvens", role = "aut"),
person("Niko", "Speybroeck", role = "aut"))
c(person("Jean-Eudes", "Dazard",
role = c("aut", "cre"),
email = "jxd101@case.edu"),
person("Michael", "Choe",
role = "ctb",
email = "mjc206@case.edu"),
person("Michael", "LeBlanc",
role = "ctb",
email = "mleblanc@fhcrc.org"),
person("Alberto", "Santana",
role = "ctb",
email = "ahs4@case.edu"))
person(given = "G. Jay", family = "Kerns", role = c("aut", "cre", "cph"), email = "gkerns@ysu.edu")
person("Jiat Chow", "Tan", role = c("aut", "cre"), email = "w110013@ntu.edu.sg")
c( person("Aleksandar", "Blagotic", role = "ctb"),
person("Diego", "Valle-Jones", role = "ctb"),
person("Jeffrey", "Breen", role = "ctb"),
person("Joakim", "Lundborg", role = "ctb"),
person("John Myles", "White", role = c("aut", "cph")),
person("Josh", "Bode", role = "ctb"),
person("Kenton", "White", role = "ctb"),
person("Kirill", "Mueller", role = c("ctb", "cre"), email = "krlmlr+r@mailbox.org"),
person("Matteo", "Redaelli", role = "ctb"),
person("Noah", "Lorang", role = "ctb"),
person("Patrick", "Schalk", role = "ctb"))
c(person(given = "David", family = "Meyer", role = c("aut", "cre"), email = "David.Meyer@R-project.org"),
person(given = "Christian", family = "Buchta", role = "aut"))
c(
person("Hadley", "Wickham", ,"hadley@rstudio.com", c("aut", "cre")),
person("R Core team", role = "ctb",
comment = "Some code extracted from base R")
)
c(
person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"),
email="henrikb@braju.com"),
person("Pierre", "Neuvial", role="aut"),
person("Venkatraman E.", "Seshan", role="aut"),
person("Adam B.", "Olshen", role="aut"),
person("Paul T.", "Spellman", role="aut"),
person("Richard A.", "Olshen", role="aut"))
c(person(c("Maja","Pohar","Perme"),role="aut",email="maja.pohar@mf.uni-lj.si"),person("Mette",
"Gerster", role =
c("aut","cre"),email="mgerster@health.sdu.dk"))
c(
person("Alexis", "Gabadinho", role = c("aut", "cre", "cph"),
email = "alexis.gabadinho@unige.ch"))
c(person(given = "Hannah", family = "Frick", role = c("aut", "cre"), email = "h.frick@ucl.ac.uk"),
person(given = "Carolin", family = "Strobl", role = "aut", email = "Carolin.Strobl@psychologie.uzh.ch"),
person(given = "Friedrich", family = "Leisch", role = "aut", email = "Friedrich.Leisch@R-project.org"),
person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org"))
c(person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
person(given = "Carolin", family = "Strobl", role = "aut", email = "Carolin.Strobl@psychologie.uzh.ch"),
person(given = "Florian", family = "Wickelmaier", role = "aut"),
person(given = "Basil", family = "Abou El-Komboz", role = "aut"),
person(given = "Julia", family = "Kopf", role = "aut"))
c(person(family="Connelly", given="Brian", email="bdc@bconnelly.net",
role=c("aut", "cre")))
c(
person("Edgar", "Dobriban", email = "dobriban@stanford.edu", role = c("aut","cre")),
person("Kristen", "Fortney", email = "kfortney@stanford.edu", role = "aut"))
c(person("Stephane", "Champely", role=c("aut")),
person("Claus", "Ekstrom", role="ctb"),
person("Peter", "Dalgaard", role="ctb"),
person("Jeffrey", "Gill", role="ctb"),
person("Helios", "De Rosario", role="cre",
email="helios.derosario@gmail.com"))
c(person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
person(given = "Guan", family = "Yang", role = "aut"))
c(person("Francisco J.",  "Viciana", email= "franciscoj.viciana@juntadeandalucia.es", role='aut'), person("Carlos J.", "Gil Bellosta", email="cgb@datanalytics.com", role=c('cre', 'aut')), person("Oscar", "Perpinan Lamigueiro", email="oscar.perpinan@upm.es", role='aut'), person("Emilio", "Torres Manzanera", email="torres@uniovi.es", role='ctb'), person("Vicente David", "Canto Casasola", email= "vicented.canto.sspa@juntadeandalucia.es", role='ctb'), person("Jorge Ivan", "Velez", email="jorgeivanvelez@gmail.com", role='ctb'))
c(person("Adrian", "Dusa", role = c("aut", "cre"),
email = "dusa.adrian@unibuc.ro"),
person("Alrik", "Thiem", role = "aut",
email = "alrik.thiem@unige.ch", comment="(up to version 1.1-3)"))
c(person("John", "Fox", role = c("aut", "cre"), email =
"jfox@mcmaster.ca"), person("Adrian", "Dusa", role = "aut",
email = "dusadrian@unibuc.ro") )
c(person("Bryan", "Goodrich", role = "ctb"), person("Dason",
"Kurkiewicz", role = "ctb"), person("Tyler", "Rinker", email =
"tyler.rinker@gmail.com", role = c("aut", "cre")))
c(person("Jason", "Gray", "", role = "ctb"), person("Tyler", "Rinker", email =
"tyler.rinker@gmail.com", role = c("aut", "cre")))
c(person("Bryan", "Goodrich", role = "ctb"), person("Dason",
"Kurkiewicz", role = "ctb"), person("Kirill", "Muller", role = "ctb"),
person("Tyler", "Rinker", email = "tyler.rinker@gmail.com",
role = c("aut", "cre")))
c(person("Nora", "Umbach", role = c("aut", "cre"),
email = "nora.umbach@web.de"),
person("Florian", "Wickelmaier", role = "aut"))
c(
person("Oleg", "Melnikov", role = c("aut", "cre"), email = "XisReal@gmail.com"),
person("Max", "Lee", role = "ctb", email = "max.lee@rice.edu"),
person("Robert", "Abramov", role = "ctb", email = "rha1@rice.edu"),
person("Richard", "Huang", role = "ctb", email = "richard.b.huang@rice.edu"),
person("Liu", "Tong", role = "ctb", email = "tong.liu@rice.edu"),
person("Jake", "Kornblau", role = "ctb", email = "jake.a.kornblau@rice.edu"),
person("Xinnan", "Lu", role = "ctb", email = "xinnan.lu@rice.edu"),
person("Kiryl", "Novikau", role = "ctb", email = "kiryl.novikau@rice.edu"),
person("Tongyue", "Luo", role = "ctb", email = "tongyue.luo@rice.edu"),
person("Le", "You", role = "ctb", email = "le.you@rice.edu"),
person("Jin", "Chen", role = "ctb", email = "jin.chen@rice.edu"),
person("Chengwei", "Ge", role = "ctb", email = "chengwei.ge@rice.edu"),
person("Jiayao", "Huang", role = "ctb", email = "jiayao.huang@rice.edu"),
person("Kim", "Raath", role = "ctb", email = "kcr2@rice.edu")
)
c(person("Jacob", "Anhoej",
email = "jacob@anhoej.net",
role = c("aut", "cre")),
person("Timo", "Roeder", role = "ctb"))
c(person(given="Aiora", family="Zabala", comment="Main author", email="aiora.zabala@gmail.com", role=c("aut", "cre")),
person(given="Maximilian", family="Held", comment="Author of additional data management functions", email="maximilian.held83@gmail.com", role=c("aut"))
)
person("Wayne", "Oldford", email="rwoldford@uwaterloo.ca",
role=c("aut", "cre"))
c(
person("\"Shingo Yamamoto (gloops, Inc.)\"",role=c("aut","cre"),email="si.yamamoto@gloops.com")
,person("RStudio, Inc.", role = "cph")
,person("Michael", "Bostock", role = c("ctb", "cph"), comment = "D3.js library")
,person(family = "jQuery Foundation", role = "cph",comment = "jQuery library and jQuery UI library")
,person(family = "jQuery contributors", role=c("ctb","cph"), comment= "jQuery library; authors listed in inst/htmlwidgets/lib/jquery/jquery-AUTHORS.txt")
,person(family = "jQuery UI contributors", role = c("ctb", "cph"),comment = "jQuery UI library; authors listed in inst/htmlwidgets/lib/jquery-ui/AUTHORS.txt")
)
c(person("Bernhard", "Pfaff", email = "bernhard@pfaffikus.de", role = c("aut", "cre")), person("Marius", "Hofert", email = "marius.hofert@math.ethz.ch", role = "ctb"), person("Alexander", "McNeil", email = "mcneil@math.ethz.ch", role = "aut", comment = "S-Plus original (QRMlib)"), person("Scott", "Ulmann", role = "trl", comment = "First R port as package QRMlib"))
c(person(given = "Marius", family = "Hofert", role = c("aut", "cre"),
email = "marius.hofert@uwaterloo.ca"),
person(given = "Kurt", family = "Hornik", role = "aut",
email = "Kurt.Hornik@R-project.org"))
c(person(given = "Marius", family = "Hofert", role = c("aut", "cre"),
email = "marius.hofert@uwaterloo.ca"),
person(given = "Christiane", family = "Lemieux", role = "aut",
email = "clemieux@uwaterloo.ca"))
c(person("K. Gerald", "van den Boogaart", role = c("aut", "ths")),
person("Stefanie", "Rost", role = "aut"),
person("Thomas", "Petzoldt", role = c("aut", "ths", "cre"),
email = "thomas.petzoldt@tu-dresden.de"))
c(person(
"Raymond McTaggart", role=c("aut", "cre"), email="raymond@quandl.com"),
person("Gergely Daroczi", role="aut"),
person("Quandl Inc.", role="cph"))
c( person("Kenneth", "Benoit", email = "kbenoit@lse.ac.uk", role =
c("aut", "cre")), person("Paul", "Nulty", email = "paul.nulty@gmail.com",
role = "aut"), person("Pablo", "Barberá", email = "pablo.barbera@nyu.edu",
role = "ctb"), person("Kohei", "Watanabe", email =
"watanabe.kohei@gmail.com", role = "ctb"), person("Benjamin", "Lauderdale",
email = "B.E.lauderdale@lse.ac.uk", role = "ctb"))
c(
person(given=c("Jeffrey","A."), family="Ryan", role=c("aut","cph")),
person(given=c("Joshua","M."), family="Ulrich", role=c("cre","ctb"), email="josh.m.ulrich@gmail.com"),
person(given="Wouter", family="Thielen", role="ctb")
)
c(person("Roger", "Koenker",  role = c("cre","aut"), email =  "rkoenker@illinois.edu"),
person("Stephen", "Portnoy",  role = c("ctb"),
comment = "Contributions to Censored QR code", email =  "sportnoy@illinois.edu"),
person(c("Pin", "Tian"), "Ng",  role = c("ctb"),
comment = "Contributions to Sparse QR code", email =  "pin.ng@nau.edu"),
person("Achim", "Zeileis",  role = c("ctb"),
comment = "Contributions to dynrq code essentially identical to his dynlm code",
email =  "Achim.Zeileis@uibk.ac.at"),
person("Philip", "Grosjean",  role = c("ctb"),
comment = "Contributions to nlrq code", email =  "phgrosjean@sciviews.org"),
person(c("Brian", "D"), "Ripley",  role = c("trl","ctb"),
comment = "Initial (2001) R port from S (to my everlasting shame --
how could I have been so slow to adopt R!) and for numerous other
suggestions and useful advice", email =  "ripley@stats.ox.ac.uk"))
c(person(given = c("Vito","M.","R."), family = "Muggeo", role =
c("aut", "cre"), email = "vito.muggeo@unipa.it"))
person("Tobias", "Kley", role=c("aut","cre"),
email = "tobias.kley@ruhr-uni-bochum.de")
person("Paul", "Deveau", role = c("aut", "cre"),
email = "paul.deveau@curie.fr")
c(
person("Steve", "Lund", role=c("aut"), email="lundsp@gmail.com"),
person("Long", "Qu", role=c("aut", "cre","ctb"), email="long.qu@wright.edu"),
person("Ian", "Marschner", role="aut", comment="The author of glm2::glm.fit2, which was modified slightly leading to glm.fit3 in this package."),
person("", "R Core Team", role="aut", comment="The author of stats::glm.fit, which was modified slightly leading to glm.fit3 in this package.")
)
c(person("Julien", "Barnier", email="julien.barnier@ens-lyon.fr",
role=c("aut","cre")), person("François", "Briatte",
email="f.briatte@gmail.com", role="aut"), person("Joseph", "Larmarange",
email="joseph@larmarange.net", role="aut"))
c(person(given = "Cho-Jui", family = "Hsieh", role = "aut"),
person(given = "Matyas A.", family = "Sustik", role = c("aut",
"cre"), email = "sustik@cs.utexas.edu"), person(given =
"Inderjit S.", family = "Dhillon", role = "aut"), person(given
= "Pradeep", family = "Ravikumar", role = "aut"))
c(
person("Linares", "Daniel", email = "danilinares@gmail.com", role = c("aut","cre")),
person("López-Moliner", "Joan", email = "j.lopezmoliner@gmail.com", role = "aut"))
c(person(given = "Elise", family = "Dusseldorp", role =
c("aut", "cre","cph"), email = "elise.dusseldorp@tno.nl"),person("Lisa","Doove",role=c("aut"),email="lisa.doove@ppw.kuleuven.be"),
person("Cor","Ninaber",comment="supported with the plot function",role="ctb"), person(given = "Iven", family = "Van Mechelen", role = c("aut","cph"), email
= "iven.vanmechelen@ppw.kuleuven.be"))
person("Peter", "DeWitt", , "dewittpe@gmail.com", role = c("aut", "cre"))
c(
person("Mehmet", "Suzen",
email = "mehmet.suzen@physics.org", role = c("aut", "cre")))
c(person(given = "Nikolaus", family = "Umlauf", role = c("aut", "cre"), email = "Nikolaus.Umlauf@uibk.ac.at"),
person(given = "Thomas", family = "Kneib", role = "aut", email = "tkneib@uni-goettingen.de"),
person(given = "Stefan", family = "Lang", role = "aut", email = "Stefan.Lang@uibk.ac.at"),
person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org"))
c(person("Arni", "Magnusson", role="aut"),
person("Julian", "Burgos", role=c("aut","cre"), email="julian@hafro.is"),
person(c("Gregory","R."), "Warnes", role="ctb"))
c(person("Gianluca", "Campanella",
role=c("cre"), email="gianluca@campanella.org"),
person("Benoit", "Liquet",
role="aut", email="b.liquet@uq.edu.au"),
person("Marc", "Chadeau-Hyam",
role="aut", email="m.chadeau@imperial.ac.uk"),
person("Leonardo", "Bottolo",
role="ctb", email="l.bottolo@imperial.ac.uk"),
person("Sylvia", "Richardson",
role="ctb", email="sylvia.richardson@mrc-bsu.cam.ac.uk"))
c(person("Eric", "Lecoutre", email="eric.lecoutre@gmail.com",
role=c("aut")),
person("Milan", "Bouchet-Valat", email="nalimilan@club.fr",
role=c("cre", "ctb")),
person("Thomas", "Friedrichsmeier", email="tfry@users.sf.net",
role=c("ctb")))
c(person("Zhengzheng", "Zhang", role = c("aut", "cre"),email =
"zhengzheng236@gmail.com"), person("Chris", "Charlton",  role = "aut"),
person("Richard", "Parker", role = "aut"), person("George", "Leckie", role
= "aut"), person("William", "Browne", role = "aut"))
person("Winston", "Chang", role = c("aut", "cre"), email = "winston@stdout.org")
c(person(given = "Jose'", family = "Gama", role = c("aut","cre"),email = "rxprtgama@gmail.com"),
person(given = "Nick", family = "Guy", role = c("aut")))
person("Vincent", "Nijs", , "radiant@rady.ucsd.edu", c("aut", "cre"))
c(person(given = "Jose", family = "Gama", role = c("aut","cre","trl"),email = "rxprtgama@gmail.com"),
person(given = "Vlad", family = "Maximov", role = "aut"),
person(given = "Sebastian", family = "O.H. Madgwick", role = "aut"),
person(given = "Alain", family = "Barraud", role = "ctb"))
person("Brandon", "Greenwell", email = "greenwell.brandon@gmail.com",
role = c("aut", "cre"))
c(person("Brian J", "Smith", role = c("aut", "cre"),
email = "brian-j-smith@uiowa.edu"),
person("Jun", "Yan", role = "aut",
email = "jun.yan@uconn.edu"),
person("Mary Kathryn", "Cowles", role = "aut",
email = "kate-cowles@uiowa.edu"))
person("Karthik", "Ram", email = "karthik.ram@gmail.com", role = c("aut", "cre"))
person("Alexander", "Coppock", role = c("aut", "cre"),
email = "ac3242@columbia.edu")
c(
person("Hadley", "Wickham", email = "h.wickham@gmail.com",
role = c("trl", "cre", "cph")),
person("RStudio", role = "cph"),
person("Sridhar", "Ratnakumar", role = "aut"),
person("Trent", "Mick", role = "aut"),
person("ActiveState", role = "cph", comment =
"R/appdir.r, R/cache.r, R/data.r, R/log.r translated from appdirs"),
person("Eddy", "Petrisor", role = "ctb"),
person("Trevor", "Davis", role = c("trl", "aut")),
person("Gabor", "Csardi", role = "ctb"),
person("Gregory", "Jefferis", role = "ctb")
)
c(person(given="Patrick", family="Mair", email="mair@fas.harvard.edu", role=c("cre","aut")),
person(given="Reinhold", family="Hatzinger", role=c("aut")),
person(given=c("Norman", "D."), family="Verhelst", email="norman.verhelst@cito.nl", role=c("aut")))
c(
person("Robert J.", "Hijmans", role = c("cre", "aut"),  email = "r.hijmans@gmail.com"),
person("Jacob", "van Etten", role = "ctb"),
person("Joe", "Cheng", role = "ctb"),
person("Matteo", "Mattiuzzi", role = "ctb"),
person("Michael", "Sumner", role = "ctb"),
person("Jonathan A.", "Greenberg", role = "ctb"),
person("Oscar", "Perpinan Lamigueiro", role = "ctb"),
person("Andrew", "Bevan", role = "ctb"),
person("Etienne B.", "Racine", role = "ctb"),
person("Ashton", "Shortridge", role = "ctb"))
c(person("Oscar", "Perpinan Lamigueiro", email="oscar.perpinan@gmail.com", role=c('cre', 'aut')), person("Robert", "Hijmans", email= "r.hijmans@gmail.com", role='aut'))
c(person("Daniele", "Giardiello", role ="cre",
email = "daniele.giardiello1@gmail.com"),
person("Piero", "Quatto", role = "aut",
email = "piero.quatto@unimib.it"),
person("Enrico", "Ripamonti", role = "aut"),
person("Stefano", "Vigliani", role = "ctb",
email="stefano.vigliani@izsler.it"))
c(person("Graham", "Williams",
role=c("aut", "cph", "cre"),
email="Graham.Williams@togaware.com"),
person("Mark", "Vere Culp", role="cph"),
person("Ed", "Cox", role="ctb"),
person("Anthony", "Nolan", role="ctb"),
person("Denis", "White", role="cph"),
person("Daniele", "Medri", role="ctb"),
person("Akbar", "Waljee", role="ctb",
comment="OOB AUC for Random Forest"),
person("Brian", "Ripley", role="cph",
comment="Author of original print.summary.nnet"))
c(person("Claas-Thido", "Pfaff",
email="claas-thido.pfaff@idiv-biodiversity.de", role=c("cre","aut")),
person("Karin", "Nadrowski", email="nadrowski@uni-leipzig.de", role="aut"),
person("Xingxing", "Man", email="manxingxing@gmail.com", role="aut"))
c( person("Wacek", "Kusnierczyk", role=c("aut", "cre"),
email="waku@idi.ntnu.no"), person("Dirk", "Eddelbuettel",
role="ctb", email="edd@debian.org"), person("Berend",
"Hasselman", role="ctb", email="bhh@xs4all.nl"))
c(
person("John", "Malc", email = "cincenko@outlook.com", role = c("aut", "cre"),  comment = "@dmpe")
)
c(person('Rajarshi', 'Guha', role=c('aut','cre', 'cph'), email='rajarshi.guha@gmail.com'))
c(person('Rajarshi', 'Guha', role=c('aut','cre'), email='rajarshi.guha@gmail.com'),
person('CDK Project', '', role=c('ctb', 'cph'), comment='CDK Java library contained in multiple jar files'))
c(person("Adrien", "Todeschini", email = "adrien.todeschini@gmail.com",role=c("aut", "cre")),
person("Robin", "Genuer", email = "robin.genuer@isped.u-bordeaux2.fr",role=c("ctb")))
c(person("Alex","Lisovich",role=c("aut","cre"),email="alex.lisovich@gmail.com"),
person("Roger","Day",role="aut",email="day01@pitt.edu"),
person("Sun Microsystems, Inc",role="cph",
comment="swing-layout-1.0.4.jar, download from http://www.java2s.com/Code/Jar/s/Downloadswinglayout104jar.htm"))
c(person("John", "Fox", role = c("aut", "cre"), email = "jfox@mcmaster.ca"),
person("Milan", "Bouchet-Valat", role = "aut"),
person("Liviu", "Andronic", role = "ctb"),
person("Michael", "Ash", role = "ctb"),
person("Theophilius", "Boye", role = "ctb"),
person("Stefano", "Calza", role = "ctb"),
person("Andy", "Chang", role = "ctb"),
person("Philippe", "Grosjean", role = "ctb"),
person("Richard", "Heiberger", role = "ctb"),
person("Kosar", "Karimi Pour", role = "ctb"),
person("G. Jay", "Kerns", role = "ctb"),
person("Renaud", "Lancelot", role = "ctb"),
person("Matthieu", "Lesnoff", role = "ctb"),
person("Uwe", "Ligges", role = "ctb"),
person("Samir", "Messad", role = "ctb"),
person("Martin", "Maechler", role = "ctb"),
person("Robert", "Muenchen", role = "ctb"),
person("Duncan", "Murdoch", role = "ctb"),
person("Erich", "Neuwirth", role = "ctb"),
person("Dan", "Putler", role = "ctb"),
person("Brian", "Ripley", role = "ctb"),
person("Miroslav", "Ristic", role = "ctb"),
person("Peter", "Wolf", role = "ctb"),
person("Kevin", "Wright", role="ctb")
)
c(person("John", "Fox", role = c("aut", "cre"), email = "jfox@mcmaster.ca"),
person("Robert", "Muenchen", role = "ctb"),
person("Dan", "Putler", role = "ctb")
)
c(person("Ulrike", "Groemping", role = c("aut", "cre"), email =
"groemping@beuth-hochschule.de"), person("Fox", "John", role = "ctb"))
c(person("G. Jay", "Kerns", role = c("aut", "cre"), email = "gkerns@ysu.edu"),
person("Theophilus", "Boye", role = "ctb"), person("Tyler", "Drombosky", role = "ctb")
)
c(person("Kristian Hovde", "Liland", role = c("aut","cre"), email="kristian.liland@nmbu.no"),
person("Solve", "Sæbø", role=c("aut")))
c(person("Daniel-Corneliu", "Leucuta", role = c("aut", "cre"), email = "danny.ldc@gmail.com"),
person("Mihaela", "Hedesiu", role = "ctb"),
person("Andrei", "Achimas", role = "ctb"),
person("Oana", "Almasan", role = "ctb")
)
c(person("Milan", "Bouchet-Valat", email="nalimilan@club.fr", role=c("aut", "cre")),
person("Gilles", "Bastin", email="gilles.bastin@sciencespo-grenoble.fr", role=c("aut")))
c( person("Ben", "Bond-Lamberty", role = c("aut")),
person("Kathe", "Todd-Brown", role = c("aut", "cre"), email =
"ktoddbrown@gmail.com") )
c(person(given = "Erich", family = "Neuwirth", role = c("aut",
"cre"), email = "erich.neuwirth@univie.ac.at"))
c(
person("Romain", "Francois", role = c("aut", "cre"), email = "romain@r-enthusiasts.com"),
person("Kevin", "Ushey", role = "aut", email = "kevinushey@gmail.com"),
person("John", "Chambers", role = "ctb", email = "jmc@r-project.org")
)
c(person("Baptiste", "Auguie", email = "baptiste.auguie@gmail.com",role = c("aut", "cre")),
person("Dirk", "Eddelbuettel", email = "edd@debian.org", role = "aut"),
person(c("Steven", "G."), "Johnson", role = "aut", comment="Author of Faddeeva"))
c(
person("JJ", "Allaire", role = c("aut", "cre"), email = "jj@rstudio.com"),
person("Romain", "Francois", role = c("aut", "cph")),
person("Gregory", "Vandenbrouck", role = "aut"),
person("Marcus", "Geelnard", role = c("aut", "cph"),
comment = "TinyThread library, http://tinythreadpp.bitsnbites.eu/"),
person(family = "RStudio", role = "cph"),
person(family = "Intel", role = c("aut", "cph"),
comment = "Intel TBB library, https://www.threadingbuildingblocks.org/"),
person(family = "Microsoft", role = "cph")
)
c(person("Carl", "Boettiger", role = "aut"),
person("Ted", "Hart", role = "aut"),
person("Scott", "Chamberlain", role = c("aut", "cre"), email =
"myrmecocystus@gmail.com"),
person("Karthik", "Ram", role = "aut"))
c(
person("Hadley", "Wickham", role = "aut"),
person("Yihui", "Xie", email = "xie@yihui.name", role = c("aut", "cre"))
)
c(person("Xiaolin", "Zhang", role = c("aut", "cre"),
email = "leoncamel@gmail.com"))
c(
person("Matthieu", "Stigler", role = "aut"),
person("Bastiaan", "Quast", email = "bquast@gmail.com", role = c("aut", "cre") )
)
c(person("Jaak", "Simm", role = c("aut", "cre"), email = "jaak.simm@gmail.com"), person("Galina", "Besstremyannaya", role = c("aut") ))
c(
person("Trent", "McDonald", email="tmcdonald@west-inc.com", role=c("cre","aut")),
person("Ryan", "Nielson", email="rnielson@west-inc.com", role=c("aut")),
person("Jason", "Carlisle", email="jason.d.carlisle@gmail.com", role=c("aut")),
person("Ben", "Augustine", email="ben.augustine@uky.edu", role=c("ctb")),
person("James", "Griswald", email="", role=c("ctb")),
person("Joel", "Reynolds", email="", role=c("ctb")),
person("Pham", "Quang", email="", role=c("ctb")),
person("Earl", "Becker", email="", role=c("ctb")),
person("Aaron", "Christ", email="", role=c("ctb")),
person("Brook", "Russelland", email="", role=c("ctb")),
person("Patrick", "McKann", email="", role=c("ctb"))
)
c(
person("Konstantin A.", "Blagodatskikh",
email = "k.blag@yandex.ru", role = c("cre", "aut")),
person("Stefan", "Roediger",
email = "stefan.roediger@b-tu.de",
role = "aut"),
person("Michal", "Burdukiewicz",
email = "michalburdukiewicz@gmail.com", role = "aut"))
person("Karthik", "Ram", , "karthik.ram@gmail.com", c("aut", "cre"))
c(person("Scott", "Chamberlain", role = c("aut", "cre"),
email = "myrmecocystus@gmail.com"), person("Carl", "Boettiger",
role = "aut", email = "cboettig@gmail.com"), person("Karthik",
"Ram", role = "aut", email = "karthik.ram@gmail.com"))
c(
person("Mark S.", "Handcock", role=c("aut","cre"), email="handcock@stat.ucla.edu"),
person("Krista J.", "Gile", role=c("aut"), email="gile@math.umass.edu"),
person("Ian E.", "Fellows", role=c("aut"), email="ian@fellstat.com"),
person("W. Whipple", "Neely", role=c("aut"), email="wwneely@stat.washington.edu"))
"John Harrison <johndharrison0@gmail.com> [aut, cre]"
person("Sebastian", "Gibb", role=c("aut", "cre"),
email="mail@sebastiangibb.de")
c(
person("Hadley", "Wickham", , "hadley@rstudio.com", c("aut", "cre")),
person("Romain", "Francois", role = "aut"),
person("R Core Team", role = "ctb", comment = "Date time code adapted from R"),
person("RStudio", role = "cph"))
c(
person("Jan Marvin", "Garbuszus",
email = "jan.garbuszus@ruhr-uni-bochum.de", role = c("aut")),
person("Sebastian", "Jeworutzki",
email="Sebastian.Jeworutzki@ruhr-uni-bochum.de", role = c("aut", "cre")),
person("R Core Team", role="cph")
)
c(
person("Hadley", "Wickham", ,"hadley@rstudio.com", role = c("aut", "cre")),
person("RStudio", role = "cph", comment = "Copyright holder of all R code
and all C/C++ code without explicit copyright attribution"),
person("Marcin", "Kalicinski", role = c("ctb", "cph"), comment = "Author of included RapidXML code"),
person("Komarov Valery", role = c("ctb", "cph"), comment = "Author of included libxls code"),
person("Christophe Leitienne", role = c("ctb", "cph"), comment = "Author of included libxls code"),
person("Bob Colbert", role = c("ctb", "cph"), comment = "Author of included libxls code"),
person("David Hoerl", role = c("ctb", "cph"), comment = "Author of included libxls code")
)
c(person("Rafael", "Maia", role = "aut",
email = "rm72@zips.uakron.edu"),
person("Scott", "Chamberlain", role = "aut",
email = "myrmecocystus@gmail.com"),
person("Andy", "Teucher", role = "aut",
email = "andy.teucher@gmail.com"),
person("Sebastian", "Pardo", role = c("aut", "cre"),
email = "sebpardo@gmail.com"))
c(person("Marko", "Nagode", role = c("aut", "cre"),
email = "marko.nagode@fs.uni-lj.si"))
c(person("Michael", "Hahsler", role = c("aut", "cre", "cph"),
email = "mhahsler@lyle.smu.edu"))
person(given=c("Marco", "Johannes"), family="Maier", email="marco.maier@wu.ac.at", role=c("cre","aut"))
c(person("Will", "Beasley", role = c("aut", "cre"), email =
"wibeasley@hotmail.com"), person("David", "Bard", role = "ctb"),
person("Thomas", "Wilson", role = "ctb"), person(given="John J",
family="Aponte", role = "ctb"), person("Rollie", "Parrish",
role = "ctb"), person("Benjamin", "Nutter",
role = "ctb"), person("Andrew", "Peters",
role = "ctb"))
person(c("Mathew", "W."), "McLean", role = c("aut", "cre"),
email = "mathew.w.mclean@gmail.com")
c(person("Ciprian Crainiceanu", role = "aut", email =
"ccrainic@jhsph.edu"), person("Philip Reiss", role = "aut", email =
"phil.reiss@nyumc.org"), person("Jeff Goldsmith", role = "aut", email =
"jeff.goldsmith@columbia.edu"), person("Lei Huang", role = c("aut","cre"),
email = "huangracer@gmail.com"), person("Lan Huo", role = "aut", email =
"lan.huo@nyumc.org"), person("Fabian Scheipl", role = "aut", email =
"fabian.scheipl@stat.uni-muenchen.de"), person("Bruce Swihart", role =
"ctb", email = "bswihart@jhsph.edu"), person("Sonja Greven", role = "ctb"),
person("Jaroslaw Harezlak", role="ctb"), person("Madan Gopal Kundu",
role="ctb"), person("Yihong Zhao", role="ctb"), person("Matt McLean",
role="ctb"), person("Luo Xiao", role="ctb", email = "lxiao@jhsph.edu"))
c(person("Tyler", "Rinker", email = "tyler.rinker@gmail.com",
role = c("aut", "cre")))
c(person("Ulrike", "Groemping", role = c("aut", "cre"), email =
"groemping@beuth-hochschule.de"), person("Lehrkamp", "Matthias", role = "ctb"))
c(person(given = "David", family = "Meyer", role = c("aut")),
person(given = "Kurt", family = "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org"),
person(given = "Christian", family = "Buchta", role = "ctb"))
c(person(c("Maja","Pohar","Perme"),role=c("aut","cre"),email="maja.pohar@mf.uni-lj.si"),person("Klemen", "Pavlic", role = "ctb",
email = "klemen.pavlic@mf.uni-lj.si"))
person("Ting-Kam Leonard", "Wong", role = c("aut", "cre"),
email = "wongting@uw.edu")
c(person("Michael", "Hahsler", role = c("aut", "cre", "cph"),
email = "mhahsler@lyle.smu.edu"),
person("Margaret H.", "Dunham", role = c("aut", "cph")))
c(person("David", "Winter", role=c("aut", "cre"),
email = "david.winter@gmail.com"),
person("Scott", "Chamberlain", role="ctb",
email = "myrmecocystus@gmail.com"))
c(
person("Ruth", "Heller", email = "ruheller@gmail.com", role = c("cre","aut")),
person("Shachar", "Kaufman", role = "aut"),
person("Shay", "Yaacoby", email = "shay66@gmail.com", role = "aut"),
person("Daniel", "Yekutieli", role = "aut"))
c(
AS=person("Andy", "South", , "southandy@gmail.com", role = c("aut", "cre")),
TF=person("Thomas", "Finnie", , "Thomas.Finnie@phe.gov.uk", role = c("aut")),
ESS=person("Ellie", "Sherrard-Smith", , "e.sherrard-smith@imperial.ac.uk", role = c("aut")),
AB=person("Ana", "Bento", , "anisabelbento@gmail.com", role = c("aut")),
TB=person("Thibaut", "Jombart", , "thibautjombart@gmail.com", role = c("aut")))
c(
person("David", "Gohel", role = c("aut", "cre"),
email = "david.gohel@lysis-consultants.fr"),
person("Bootstrap", role = c("ctb", "cph"),
comment = "Bootstrap development team"),
person("jQuery", role = c("ctb", "cph"),
comment = "The jQuery Foundation"),
person("Dmitry Baranovskiy", role = c("ctb", "cph"),
comment = "raphael javascript libraries" ) )
c(person("David", "Gohel", role = c("aut", "cre"),
email = "david.gohel@lysis-consultants.fr"),
person("Jason", "Harrop", role = c("ctb", "cph"),
comment = "docx4j java library"),
person("Apache Software Foundation", role = c("ctb", "cph"),
comment = "Apache Commons java libraries and log4j" ),
person("SLF4J", role = c("ctb", "cph"),
comment = "Simple Logging Facade for Java" ) )
c(
person("Eduardo", "Ibanez", , "edu.ibanez@gmail.com", c("aut", "cre")),
person("National Renewable Energy Laboratory", role = "cph")
)
c(
person("Lech", "Madeyski", email = "lech.madeyski@gmail.com", role = c("cre", "aut")),
person("Marian", "Jureczko", email = "marian.jureczko@gmail.com", role = "ctb", comment = "Data contributor"),
person("Barbara", "Kitchenham", email = "b.a.kitchenham@keele.ac.uk", role = "ctb", comment = "Data contributor"))
c(person("Scott", "Chamberlain", role = c("aut","cre"),
email = "myrmecocystus@gmail.com"))
c(
person("Sean", "Turner", , "swd.turner@gmail.com", c("aut", "cre")),
person("Stefano", "Galelli", , "stefano_galelli@sutd.edu.sg", "aut")
)
c(person("David C.", "Sterratt", role=c("aut", "cre", "cph"),
email="david.c.sterratt@ed.ac.uk"), person("Daniel", "Lyngholm",
role=c("aut", "cph")))
person("Richard", "Scriven", email = "rmscriven@gmail.com", role = c("aut", "cre"))
'Gerhard Schöfl <gschofl@yahoo.de> [aut, cre]'
c(
person("Kevin", "Ushey", email = "kevinushey@gmail.com", role = "aut"),
person("Jim", "Hester", email = "james.f.hester@gmail.com", role = c("aut", "cre")),
person("Robert", "Krzyzanowski", email = "rkrzyzanowski@gmail.com", role = "aut")
)
c(person("Nicholas J.", "Matzke", email = "matzke@berkeley.edu", role =
c("aut", "cre", "cph")), person("Roger B.", "Sidje", email =
"roger.b.sidje@ua.edu", role = c("aut", "cph")))
c(person(given="Daniel C.",family="Bowman", role=c("aut", "cre"),
email="daniel.bowman@unc.edu"))
c(person("Carl", "Boettiger", role = c("aut", "cre"), email =
"cboettig@gmail.com"), person("Scott", "Chamberlain", role = "aut"),
person("Karthik", "Ram", role = "aut"), person("Edmund", "Hart",
role="aut"))
c(person("Carl", "Boettiger", role = c("aut", "cre"), email =
"cboettig@gmail.com"), person("Duncan", "Temple Lang", role = "aut"),
person(c("Peter", "C."), "Wainwright", role = "aut"))
c(person("Karthik", "Ram", role = c("aut", "cre"), email =
"karthik.ram@gmail.com"), person("Carl", "Boettiger", role = "aut"),
person("Andrew", "Dyck", role = "aut"))
c(person("Andrie", "de Vries", role=c("aut", "cre"),
email="apdevries@gmail.com"), person("Joris", "Meys", role =
c("aut")))
c(
person("Jeffrey S.", "Evans", role = c("cre", "aut"),  email = "jeffrey_evans@tnc.org"),
person("Melanie A.", "Murphy", role = "ctb") )
c(
person(given = "Artem", family = "Klevtsov",
email = "a.a.klevtsov@gmail.com", role = c("aut", "cre")),
person(given = "Philipp", family = "Upravitelev",
email = "upravitelev@gmail.com", role = "ctb"),
person(given = "Olga", family = "Shramko",
email = "ol1709@yahoo.com", role = "ctb"))
c(person("Scott", "Chamberlain", role = c("aut", "cre"), email =
"myrmecocystus@gmail.com"),
person("Karthik", "Ram", role = "aut", email =
"karthik.ram@gmail.com"))
c(person("Scott", "Chamberlain", role = c("aut", "cre"),
email = "myrmecocystus@gmail.com"),
person("Karthik", "Ram", role = "aut",
email = "karthik.ram@gmail.com"),
person("Vijay", "Barve", role = "aut",
email = "vijay.barve@gmail.com"),
person("Dan", "Mcglinn", role = "aut",
email = "danmcglinn@gmail.com"))
c(
person("Roger", "Bivand", role = c("cre", "aut"), email = "Roger.Bivand@nhh.no"),
person("Tim", "Keitt", role = "aut"),
person("Barry", "Rowlingson", role = "aut"),
person("Edzer", "Pebesma", role = "ctb"),
person("Michael", "Sumner", role = "ctb"),
person("Robert", "Hijmans", role = "ctb"),
person("Even", "Rouault", role = "ctb"))
c(
person("Roger", "Bivand", role = c("cre", "aut"), email = "Roger.Bivand@nhh.no"),
person("Colin", "Rundel", role = "aut"),
person("Edzer", "Pebesma", role = "ctb"),
person("Karl Ove", "Hufthammer", role = "ctb"))
c(person("Jorrit", "Poelen", role = c("aut", "cre"),
email = "jhpoelen@xs4all.nl"),
person("Stephen", "Gosnell", role = "aut",
email = "stephen.gosnell@baruch.cuny.edu"),
person("Sergey", "Slyusarev", role = "aut",
email = "cph.lmy@gmail.com"))
c(person("Stefan", "Theussl", role = c("aut", "cre"), email = "Stefan.Theussl@R-project.org"), person("Kurt", "Hornik", role = "aut"), person("Christian", "Buchta", role = "ctb"), person("Heinrich", "Schuchardt", role = "ctb"), person("Andrew", "Makhorin", role = "cph"), person("Timothy A.", "Davis", role = "cph"), person("Niklas", "Sorensson", role = "cph"), person("Mark", "Adler", role = "cph"), person("Jean-loup", "Gailly", role = "cph"))
c(person(given = "Jose", family = "Gama", role = c("aut","cre"),email = "rxprtgama@gmail.com"),
person(given = "Nicolas", family = "Devillard", role = "aut"),
person(given = "Mauricio", family = "Galo", role = "ctb"),
person(given = "Patrick", family = "J. Bartlein", role = "ctb"),
person(given = "Oscar", family = "Perpiñán Lamigueiro", role = "ctb")
)
c(
person("Roger", "Bivand", role = c("cre", "aut"), email = "Roger.Bivand@nhh.no"),
person("Rainer", "Krug", role = "ctb", email="Rainer@krugs.de"),
person("Markus", "Neteler", role = "ctb"))
c(person("Jonathan", "Owen", email = "jonathanro@gmail.com",
role = c("aut", "cre", "cph")),
person("Jeff", "Allen", role = c("ctb")),
person("Yihui", "Xie", role = c("ctb")),
person("Enzo", "Martoglio",
email = "enzo@smartinsightsfromdata.com", role = c("ctb")),
person("Warpechowski", "Marcin", role = c("ctb", "cph"), comment = "Handsontable.js library"),
person("Handsoncode sp. z o.o.", role = c("ctb", "cph"), comment = "Handsontable.js library"),
person("Aisch", "Gregor", role = c("ctb", "cph"), comment = "Chroma.js library"),
person("Wood", "Tim", role = c("ctb", "cph"), comment = "Moment.js library"),
person("Chernev", "Iskren", role = c("ctb", "cph"), comment = "Moment.js library"),
person("Moment.js contributors", role = c("ctb", "cph"), comment = "Moment.js library"),
person("Bushell", "David", role = c("ctb", "cph"), comment = "Pikaday.js library"))
c(
person("Francois", "Michonneau", role=c("aut", "cre"),
email="francois.michonneau@gmail.com"),
person("Arnold G.", "Reinhold", role=c("cph"))
)
c(person("Francois", "Michonneau", role=c("aut", "cph"),
email="francois.michonneau@gmail.com"),
person("Matthew", "Collins", role=c("aut", "cre"),
email="mcollins@acis.ufl.edu"),
person("Scott", "Chamberlain", role="ctb",
email="myrmecocystus@gmail.com"))
c(person("David C", "Sterratt", role=c("aut", "cph", "cre"),
email="david.c.sterratt@ed.ac.uk"), person("Mikko", "Vihtakari",
role=c("aut", "cph"), email="mikko.vihtakari@uit.no"))
c(person("Chung-hong", "Chan", role = "aut", email = "chainsawtiney@gmail.com"),
person("Geoffrey CH", "Chan", role = "aut", email = "gefchchan@gmail.com"),
person("Thomas J.", "Leeper", role = c("aut", "cre"), email = "thosjleeper@gmail.com"),
person("Christopher", "Gandrud", role = "aut"))
c(person("Talita", "Perciano", role = c("aut", "cre"),
email = "talitaperciano@gmail.com"),
person("Alejandro", "C Frery", role = "ctb",
email = "acfrery@pq.cnpq.br"))
c(person("Aleksander", "Mendyk", role = c("aut",
"cre"),email = "mfmendyk@cyf-kr.edu.pl"),person("Sebastian",
"Polak",role="aut",email="mfpolak@@cyf-kr.edu.pl"))
c(person("Xuetong", "Zhai", role = c("aut", "cre"), email = "xuetong.zhai@gmail.com"),
person("Dev", "Chakraborty", role = c("aut", "ths"), email = "dpc10ster@gmail.com"))
c(person("Martyn", "Plummer", role=c("aut","cre"),
email="plummerm@iarc.fr"),
person("Alexey", "Stukalov", role="ctb"),
person("Matt", "Denwood", role="ctb"))
c(person("Sigal","Blay",role="aut"),
person("Jinko","Graham",role="aut"),
person("Brad","McNeney",role=c("aut","cre"),
email="mcneney@sfu.ca"),
person("Annick","Nembot-Simo",role="aut"),
person("Alun","Thomas",role="ctb"),
person("Hin-Tak","Leung",role="ctb"))
c(person("Ingo", "Feinerer", role = "aut"),
person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org"))
c(person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org"),
person("Eibe", "Frank", role = c("ctb", "cph"),
comment = "KEA Java library"),
person("Olena", "Medelyan", role = c("ctb", "cph"),
comment = "KEA Java library"),
person("The Apache Software Foundation",
role = c("ctb", "cph"),
comment = "Apache Commons Logging and Apache Jena Java libraries"),
person("International Business Machines Corporation and others",
role = c("ctb", "cph"),
comment = "International Components for Unicode for Java (ICU4J)"),
person("Martin", "Porter", role = c("ctb", "cph"),
comment = "Snowball base"),
person("Richard", "Boulton", role = c("ctb", "cph"),
comment = "Snowball Java library"),
person("University of Waikato", role = c("ctb", "cph"),
comment = "Weka Java library"))
c(
person("Vehbi Sinan", "Tunalioglu",
email="vst@vsthost.com",
role=c("aut", "cre")))
c(person(given = "Jouni", family = "Helske", role = c("aut","cre"),
comment = "R interface",email = "jouni.helske@jyu.fi"), person(given =
"Perttu", family = "Luukko", role = "aut", comment = "Original libeemd C
library"))
c(
person("Christoph", "Burow", role = c("aut", "cre"), email = "christoph.burow@uni-koeln.de"),
person("Jan", "Odvarko", role = "cph", comment = "jscolor.js in www/jscolor"),
person(family = "AnalytixWare", role = "cph", comment = "ShinySky package" )
)
c(
person("JJ", "Allaire", role = c("aut", "cre"), email = "jj@rstudio.com"),
person("Joe", "Cheng", role = "aut", email = "joe@rstudio.com"),
person("Yihui", "Xie", role = "aut", email = "yihui@rstudio.com"),
person("Jonathan", "McPherson", role = "aut", email = "jonathan@rstudio.com"),
person("Winston", "Chang", role = "aut", email = "winston@rstudio.com"),
person("Jeff", "Allen", role = "aut", email = "jeff@rstudio.com"),
person("Hadley", "Wickham", role = "aut", email = "hadley@rstudio.com"),
person("Rob", "Hyndman", role = "aut", email = "robjhyndman@gmail.com"),
person(family = "RStudio, Inc.", role = "cph"),
person(family = "jQuery Foundation", role = "cph",
comment = "jQuery library"),
person(family = "jQuery contributors", role = c("ctb", "cph"),
comment = "jQuery library; authors listed in inst/rmd/h/jquery-AUTHORS.txt"),
person("Mark", "Otto", role = "ctb",
comment = "Bootstrap library"),
person("Jacob", "Thornton", role = "ctb",
comment = "Bootstrap library"),
person(family = "Bootstrap contributors", role = "ctb",
comment = "Bootstrap library"),
person(family = "Twitter, Inc", role = "cph",
comment = "Bootstrap library"),
person("Alexander", "Farkas", role = c("ctb", "cph"),
comment = "html5shiv library"),
person("Scott", "Jehl", role = c("ctb", "cph"),
comment = "Respond.js library"),
person("Ivan", "Sagalaev", role = c("ctb", "cph"),
comment = "highlight.js library"),
person("John", "MacFarlane", role = c("ctb", "cph"),
comment = "Pandoc templates"),
person(family = "Google, Inc.", role = c("ctb", "cph"),
comment = "ioslides library"),
person("Dave", "Raggett", role = "ctb",
comment = "slidy library"),
person(family = "W3C", role = "cph",
comment = "slidy library")
)
c( person("Stefan", "Widgren", role = c("aut", "cre"),
email = "stefan.widgren@gmail.com", comment = "Author of the R
interface to the C-library matio"), person("Christopher",
"Hulbert", role = c("aut"), comment = "Author of the C-library
matio, http://sourceforge.net/projects/matio/"))
c(
person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"),
email="henrikb@braju.com"),
person("Andy", "Jacobson", role="ctb", comment="Internal MAT v4 reader"),
person("Jason", "Riedy", role="ctb", email="ejr@cs.berkeley.edu",
comment="Support for reading compressed files (via 'Rcompression'), sparse matrices and UTF-encoded strings."))
c(
person("Benjamin", "Auder", role=c("aut","cre"), email="benjamin.auder@gmail.com"),
person("Remi", "Lebret", role="aut", email="remi@lebret.ch"),
person("Serge", "Iovleff", role="aut", email="serge.iovleff@univ-lille1.fr"),
person("Florent", "Langrognet", role="aut", email="florent.langrognet@univ-fcomte.fr"),
person("C.", "Biernacki", role="ctb", email="christophe.biernacki@math.univ-lille1.fr"),
person("G.", "Celeux", role="ctb", email="gilles.celeux@math.u-psud.fr"),
person("G.", "Govaert", role="ctb", email="gerard.govaert@utc.fr"))
c(person("Jan", "Wijffels", role = c("aut", "cre"), email =
"jwijffels@bnosac.be"), person("BNOSAC", role = "cph"))
c(person("Jeroen", "Ooms", email = "jeroen.ooms@stat.ucla.edu", role = c("aut", "cre")),
person("David", "James", role = "aut"),
person("Saikat", "DebRoy", role = "aut"),
person("Hadley", "Wickham", email = "hadley@rstudio.com", role = "aut"),
person("Jeffrey", "Horner", role = "aut"),
person("RStudio", role = "cph"))
c(person("Francois", "Michonneau", role=c("aut", "cre"),
email="francois.michonneau@gmail.com"),
person("Ben", "Bolker", role=c("aut")),
person("Mark", "Holder", role=c("aut")),
person("Paul", "Lewis", role=c("aut")),
person("Brian", "O'Meara", role=c("aut")))
person("Bernhard", "Pfaff", email = "bernhard@pfaffikus.de", role = c("aut", "cre"))
c(person("Carl", "Boettiger", role = c("cre", "aut"),
email="cboettig@gmail.com"), person("Scott", "Chamberlain", role =
"aut"), person("Hilmar", "Lapp", role = "aut"), person("Kseniia",
"Shumelchyk", role = "aut"), person("Rutger", "Vos", role = "aut"))
c(
person("Hart", "Edmund", role = "ctb", email = "Edmund.m.hart@gmail.com"),
person("Scott", "Chamberlain", role = c("aut","cre"), email = "myrmecocystus@gmail.com"),
person("Karthik", "Ram", role = "ctb", email = "karthik.ram@gmail.com"),
person("Adam", "Erickson", role = "ctb", email = "adam.erickson@ubc.ca")
)
person("Andreas", "Alfons",
email = "alfons@ese.eur.nl",
role = c("aut", "cre"))
c(person("Brian", "Ripley", role = c("aut", "cre"),
email = "ripley@stats.ox.ac.uk"),
person("Michael", "Lapsley", role = "aut",
comment = "1999 to Oct 2002"))
c(person("Mateusz", "Zoltak", role = c("aut", "cre"),
email = "zozlak@zozlak.org"),
person("Brian", "Ripley", role = c("aut")),
person("Michael", "Lapsley", role = "aut"))
c(person("Roman", "Guchenko", role = c("aut", "cre"), email = "RomanGuchenko@yandex.ru"))
c(person("Kurt", "Hornik", role = "aut"), person("David", "Meyer", role = "aut"), person("Stefan", "Theussl", role = c("aut", "cre"), email = "Stefan.Theussl@R-Project.org"))
c(person("Stefan", "Theussl", role = c("aut", "cre"), email = "Stefan.Theussl@R-Project.org"))
c(person("Karline","Soetaert", role = c("aut", "cre"),
email = "karline.soetaert@nioz.nl"),
person("yale sparse matrix package authors", role = "cph"))
c(
person("Keerthi", "Chandra", email = "kckeerthi@gmail.com",role = c("aut", "cre")),
person("Chris", "Johannessen", email = "",role = c("aut")),
person("Siddharth", "Somayajula", email = "",role = c("ctb")))
c(
person("Francois", "Michonneau", role=c("aut", "cre"),
email="francois.michonneau@gmail.com"),
person("Joseph", "Brown", role="aut"),
person("David", "Winter", role="aut"))
c(person("Lala Septem", "Riza", role = "aut",
email = "lala_s_riza@yahoo.com"),
person("Andrzej", "Janusz", role = "aut",
email = "janusza@mimuw.edu.pl"),
person("Dominik", "Ślęzak", role = "ctb"),
person("Chris", "Cornelis", role = "ctb"),
person("Francisco", "Herrera", role = "ctb"),
person("Jose Manuel", "Benitez", role = "ctb"),
person("Christoph", "Bergmeir", role = c("ctb", "cre"),
email = "c.bergmeir@decsai.ugr.es"),
person("Sebastian", "Stawicki", role = "ctb"))
c(
person("Hadley", "Wickham",, "h.wickham@gmail.com", c("aut", "cre", "cph")),
person("Peter", "Danenberg",, "pcd@roxygen.org", c("aut", "cph")),
person("Manuel", "Eugster", role = c("aut", "cph")),
person("RStudio", role = "cph")
)
c(person("Hélène", "Morlon", role = c("aut", "cre", "cph"), email = "morlon@biologie.ens.fr"))
c(person("Terry", "Therneau", role = "aut",
email = "therneau@mayo.edu"),
person("Beth", "Atkinson", role = "aut",
email = "atkinson@mayo.edu"),
person("Brian", "Ripley", role = c("aut", "trl", "cre"),
email = "ripley@stats.ox.ac.uk",
comment = "author of initial R port"))
person("Maciek", "Sykulski", email = "macieksk@gmail.com", role = c("aut", "cre"))
c(person("Joshua",family="Pritikin", email="jpritikin@pobox.com",
role=c('cre','aut')), person("Jonathan",family="Weeks",
email="weeksjp@gmail.com", role=c('ctb')),
person("Li", family="Cai", role=c('ctb')), person("Carrie",
family="Houts", role=c('ctb')), person("Phil", "Chalmers", email =
"rphilip.chalmers@gmail.com", role = c("ctb")),
person(c("Michael", "D."), "Hunter", role="ctb"))
c(
person("Eduardo", "Ibanez", , "edu.ibanez@gmail.com", c("aut", "cre")),
person("Marcin", "Kalicinski", , "kalita@poczta.onet.pl", "ctb", "for the included RapidXml source"),
person("National Renewable Energy Laboratory", role = "cph")
)
c(person("Scott", "Chamberlain", role = c("aut", "cre"),
email = "myrmecocystus@gmail.com"),
person("Carl", "Boettiger", role = "aut",
email = "cboettig@gmail.com"),
person("Karthik", "Ram", role = "aut",
email = "karthik.ram@gmail.com"))
c(person(given="Pedro-Pablo", family="Garrido Abenza", role=c("aut","cre"), email="pgarrido@umh.es"))
c(person("Thomas J.", "Leeper", role = c("aut", "cre"),
email = "thosjleeper@gmail.com"),
person("Jeroen","Ooms", role = "ctb"))
c(person(given = "Torben", family = "Schulz-Streeck", email
= "torben.schulz-streeck@uni-hohenheim.de", role = "aut"),
person(given = "Boubacar", family = "Estaghvirou", email =
"S.Ould@uni-hohenheim.de", role = "aut"), person(given =
"Frank",family = "Technow", email =
"Frank.Technow@uni-hohenheim.de", comment = "University of
Hohenheim, Institute of Plant Breeding, Seed Science and
Population Genetics, Stuttgart, Germany", role =
c("aut","cre")))
c(person(given="Natalia", family="Belgorodski", email="belgorodski@stat-up.de",
role=c("aut"), comment="STAT-UP Statistical Consulting"),
person(given="Matthias", family="Greiner", email="matthias.greiner@bfr.bund.de",
role=c("aut", "cre"), comment="Federal Institute for Risk Assessment, Germany"),
person(given="Kristin", family="Tolksdorf", email="kristin.tolksdorf@bfr.bund.de",
role=c("aut"), comment="Federal Institute for Risk Assessment, Germany"),
person(given="Katharina", family="Schueller", email="schueller@stat-up.de",
role=c("aut"), comment="STAT-UP Statistical Consulting"),
person(given="Matthias", family="Flor", email="Matthias.Flor@bfr.bund.de",
role=c("ctb"), comment="Federal Institute for Risk Assessment, Germany"),
person(given="Lutz", family="Göhring", email="lutz.goehring@gmx.de",
role=c("ctb"), comment="Lutz Göhring Consulting"))
c(person( given="Daniel
W.",family="Heck",email="dheck@mail.uni-mannheim.de", role=c("aut","cre")),
person(given="Morten",family="Moshagen",email="moshagen@uni-mannheim.de",
rol=c("aut")))
person("Ken", "Kleinman", email= "ken.kleinman@gmail.com", role=c("aut", "cre"))
c(person(given="David B.",family="Dahl",role=c("aut","cre"),email="dahl@stat.byu.edu"),
person(family="Scala developers",role="ctb",comment="see http://scala-lang.org/"))
c(
person("Emmanuel", "Blondel", role = c("aut", "cre"), email = "emmanuel.blondel1@gmail.com"),
person("Matthieu", "Stigler", role = c("ctb")))
c(
person("Kevin","Wright", email="kw.stat@gmail.com", role=c("aut","cre")),
person("Jean-Louis","Laffont", role=c("aut")))
c(person("Jeff", "Dumont", role = c("aut", "cre"), email = "Jeff.Dumont@rsginc.com"),
person("Jeff", "Keller", role = "aut", email = "Jeff.Keller@rsginc.com"),
person("Chase", "Carpenter", role = "ctb", email = "Chase.Carpenter@rsginc.com"))
c(
person("Scott", "Chamberlain", role = c("aut", "cre"),
email = "myrmecocystus@gmail.com"),
person("Kevin", "Ushey", role = "aut",
email = "kevinushey@gmail.com"))
c(person(given = "Peter", family = "Wittek", role = c("aut"), email = ""),
person(given = "Shichao", family = "Gao", role = c("cre"), email = "xgdgsc@gmail.com"))
c(person(given = "Jose", family = "Gama", role = c("aut","cre"),email = "rxprtgama@gmail.com"),
person(given = "John", family = "Fuller", role = c("aut","cph")),
person(given = "Paolo", family = "Leva", role = c("aut","cph")))
as.person(c(
"Hadley Wickham <hadley@rstudio.com> [aut, cre]",
"David A. James [aut]",
"Seth Falcon [aut]",
"SQLite Authors (for the included SQLite sources) [ctb]",
"Liam Healy (for the include SQLite extensions) [ctb]",
"RStudio [cph]"
))
as.person(c("Imanuel Costigan <i.costigan@me.com> [aut,cre]",
"The jTDS Project (for MSSQL Server driver) [aut]",
"Simon Urbanek <Simon.Urbanek@r-project.org> [ctb]",
"The Legion Of The Bouncy Castle [cph,ctb]"))
c(person("Jiqiang", "Guo", email = "guojq28@gmail.com", role = "aut"),
person("Daniel", "Lee", role = "ctb"),
person("Ben", "Goodrich", email = "benjamin.goodrich@columbia.edu", role = c("cre", "aut")),
person("Joel", "de Guzman", role = "ctb"),
person("Eric", "Niebler", role = "ctb"),
person("Thomas", "Heller", role = "ctb"),
person("John", "Fletcher", role = "ctb"))
c(person("Mark", "Clements", role = c("aut", "cre"),
email = "mark.clements@ki.se"),
person("Xing-Rong", "Liu", role = "aut",
email = "xingrong.liu@ki.se"),
person("Paul", "Lambert", role = "ctb", email="pl4@leicester.ac.uk"))
c(
person("Hadley", "Wickham", role = c("aut"), email = "hadley@rstudio.com"),
person("JJ", "Allaire", role = c("aut", "cre"), email = "jj@rstudio.com"),
person(family = "RStudio", role = "cph")
)
c(person("Scott", "Chamberlain", role = c("aut", "cre"),
email = "myrmecocystus@gmail.com"),
person("Thomas J.", "Leeper", role=c("ctb"),
email="thosjleeper@gmail.com"))
c(person("Reinhard", "Harter", role = "aut"),
person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org"),
person("Stefan", "Theussl", role = "aut"),
person("Cyrille", "Szymanski", role = "ctb",
email = "cnszym@gmail.com"))
c(
person("David", "Gohel", role = c("aut", "cre"),
email = "david.gohel@lysis-consultants.fr") )
c( person(given="Scott", family="Brown", role=c("aut")),
person(given="Matthew", family="Gretton", role=c("aut")),
person(given="Andrew", family="Heathcote", role=c("aut")),
person(given="Andreas", family="Voss", role=c("ctb")),
person(given="Jochen", family="Voss", role=c("ctb")), person(given="Andrew",
family="Terry", role=c("ctb")), person(given="Henrik", family="Singmann",
email="singmann+rtdists@gmail.com", role=c("aut", "cre")) )
c(person(c("Michael","E."), "Schaffer", role=c("aut", "cre", "cph"), email = "mschaff@gmail.com"))
c(person("Serge", "Iovleff", role=c("aut","cre"),
email="serge.iovleff@stkpp.org"),
person("Vincent", "Kubicki", role="ctb",
email="Vincent.Kubicki@inria.fr"),
person("Quentin", "Grimonprez", role="ctb",
email="Quentin.Grimonprez@inria.fr"),
person("Parmeet", "Bhatia", role="ctb",
email="bhatia.parmeet@gmail.com"))
c(person("Matthew", "Denwood", role=c("aut","cre"),
email="md@sund.ku.dk"),
person("Martyn", "Plummer", role="cph", comment="Copyright holder of the code in /src/distributions/jags, src/distributions/DPar1.*, configure.ac, and original copyright holder of some modified code where indicated"))
c(
person("Gabor", "Csardi", , "csardi.gabor@gmail.com", role = c("aut", "cre")),
person("Jeroen", "Ooms", , "jeroen.ooms@stat.ucla.edu", role = "ctb"))
as.person(c(
'Hadley Wickham <h.wickham@gmail.com> [aut,cre]',
'RStudio [cph]'
))
c(person("Edmund", "Hart", role = c("aut", "cre"),
email = "edmund.m.hart@gmail.com"))
c(person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org"),
person("Christian", "Buchta", role = "ctb"),
person("Torsten", "Hothorn", role = "ctb"),
person("Alexandros", "Karatzoglou", role = "ctb"),
person("David", "Meyer", role = "ctb"),
person("Achim", "Zeileis", role = "ctb"))
c(person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org"),
person("University of Waikato", role = c("ctb", "cph"),
comment = "Weka Java library"))
c(person("Dominik", "Wabersich",
role=c("aut", "cre"),
email="dominik.wabersich@gmail.com"))
person("Varun", "Giri", role=c("aut", "cre"), email="varungiri@gmail.com")
c(person("Titus", "von der Malsburg", email="malsburg@posteo.de",
role=c("aut", "cph", "cre")))
c(person("Stephen", "Hogg", role = c("aut", "cre"),
email = "saenet.r@gmail.com"),
person("Eugene", "Dubossarsky", role = "aut"))
c(person("Sebastian", "Warnholz", role = c("aut", "cre"),
email = "Sebastian.Warnholz@fu-berlin.de"),
person("Timo", "Schmid", role = "aut",
email = "Timo.Schmid@fu-berlin.de"))
c(person(given = "Thomas", family = "Lumley", role = "aut", email = "tlumley@u.washington.edu"),
person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"))
person( "Anthony Joseph" , "Damico" , role = c( "aut" ,
"cre" ) , email = "ajdamico@gmail.com" )
c(person(given="Jesus",family="Palomo", role=c("aut",
"cre"),email="jesus.palomo@urjc.es"),
person(given="Gonzalo",family="Garcia-Donato",
role="aut",email="gonzalo.garciadonato@uclm.es"),
person(given="Rui",family="Paulo", role="aut",email="rui@iseg.utl.pt"),
person(given="James",family="Berger",
role="ctb",email="berger@stat.duke.edu"),
person(given="Maria Jesus",family="Bayarri",
role="ctb",email="susie.bayarri@uv.es"),
person(given="Jerome",family="Sacks",
role="ctb",email="sacks@niss.org"))
c(person("Paul", "Fischer", role = c("aut", "cre","cph"),
email = "pafi@dtu.dk"),person("Astrid", "Hilbert", role = c("ctb","cph"),
email = "astrid.hilbert@lnu.se"))
c(person("Julien", "Barnier", email = "julien.barnier@ens-lyon.fr", role = c("aut", "cre")))
c(person("Matteo", "Dell'Omodarme", role = c("aut", "cre"), email
= "mattdell@fastmail.fm"), person("Giada", "Valle",
role = "aut"))
c(
person("Guillaume", "Cornu", role=c("cre","aut"),email="gcornu@cirad.fr"),
person("Frederic", "Mortier", role="aut", email="fmortier@cirad.fr"),
person("Catherine", "Trottier", role="aut", email="catherine.trottier@univ-montp3.fr"),
person("Xavier", "Bry", role="aut", email="xavier.bry@univ-montp2.fr"))
person("Daniel Marcelino", role = c("aut", "cre"), email = "dmarcelino@live.com")
c(
person('Paul', 'Staab', , 'develop@paulstaab.de', role=c('aut', 'cre', 'cph')),
person('Zhu', 'Sha', role=c('aut', 'cph')),
person('Dirk', 'Metzler', role=c('aut', 'cph', 'ths')),
person('Gerton', 'Lunter', role=c('aut', 'cph', 'ths'))
)
c(person("Adrian", "Baddeley", role = c("aut", "cre"),
email = "Adrian.Baddeley@uwa.edu.au"),
person("Vittorio", "Broglio", role = c("ctb","dtc")),
person(c("Pedro", "Antonio"), "Neves", role = c("ctb", "dtc")),
person("Andrew", "Bassom", role = "ctb"),
person("Peter", "Buzzacott", role = "ctb"))
c(person(given  = 'Benjamin',
family = 'Baumgartner',
email  = 'benjamin@baumgrt.com',
role   = c('aut', 'cre')),
person(given  = 'Riccardo',
family = 'Gatto',
email  = 'gatto@stat.unibe.ch',
role   = c('ctb', 'ths')),
person(given  = 'Sebastian',
family = 'Szugat',
email  = 'szugat@statistik.tu-dortmund.de',
role   = c('ctb')))
c(person("Angel M.", "Garcia", email = "amgv0009@red.ujaen.es", role = c("aut", "cre")),
person("Pedro", "Gonzalez", email = "pglez@ujaen.es", role = c("aut", "cph")),
person("Cristobal J.", "Carmona", email = "ccarmona@ujaen.es", role = c("aut", "cph")),
person("Francisco", "Charte", email = "francisco@fcharte.com", role = "ctb")
)
c(person("Jean-Pierre", "Gattuso", role = c("aut", "cre", "cph"), email = "gattuso@obs-vlfr.fr"),
person("Jean-Marie", "Epitalon", role = "aut", email = "Jean-Marie.Epitalon@cerfacs.fr"),
person("Heloise", "Lavigne", role = "aut", email = "lavigne@obs-vlfr.fr"),
person("James", "Orr", role = "ctb"),
person("Bernard", "Gentili", role = "ctb"),
person("Andreas", "Hofmann", role = "ctb"),
person("Aurélien", "Proye", role = "ctb"),
person("Karline", "Soetaert", role = "ctb"),
person("James", "Rae", role = "ctb")
)
c(person("Anne Corinne", "Huggins-Manley", role = c("aut", "cre"), email = "ahuggins@coe.ufl.edu"), person("Douglas", "Whitaker", role = "aut"))
c(person("Seong-Yun", "Hong", role = c("aut", "cre"), email
= "hong.seongyun@gmail.com"), person("David", "O'Sullivan",
role = "ctb"))
c(person("Frank","Papenmeier", role=c("aut","cre"),
email="frank.papenmeier@uni-tuebingen.de"),
person("Konstantin","Sering", role="ctb"))
c(person("Simon", "Potter",
role = c("aut", "trl", "cre"),
email = "simon@sjp.co.nz"),
person("Simon", "Sapin", role = "aut"),
person("Ian", "Bicking", role = "aut"))
person(given = "Frank",family = "Technow",
email = "Frank.Technow@pioneer.com",
comment = "Pioneer Hi-Bred International, Inc., Johnston, Iowa", role = c("aut","cre"))
c(person("John", "Fox", role = c("aut", "cre"), email = "jfox@mcmaster.ca"),
person("Zhenghua", "Nie", role = "aut", email="zhenghua.nie@gmail.com"),
person("Jarrett", "Byrnes", role = "aut", email="byrnes@nceas.ucsb.edu"),
person("Michael", "Culbertson", role = "ctb"),
person("Saikat", "DebRoy", role = "ctb"),
person("Michael", "Friendly", role = "ctb"),
person("Goodrich", "Benjamin", role = "ctb"),
person(given="Richard H.", family="Jones", role = "ctb"),
person("Adam", "Kramer", role = "ctb"),
person("Georges", "Monette", role = "ctb"),
person("R-Core", role = "ctb")
)
c(person("Armin", "Monecke", role=c("aut", "cph","cre"),
email="armin.monecke@stat.uni-muenchen.de"),
person("Friedrich", "Leisch", role=c("aut", "ths")))
c(person(given = "Sunthud", family = "Pornprasertmanit", role = c("aut", "cre"), email = "sunthud.pornprasertmanit@ttu.edu"),
person(given = "Patrick", family = "Miller", role = "aut", email="pmille13@nd.edu"),
person(given = "Alexander", family = "Schoemann", role = "aut", email="schoemanna@ecu.edu"),
person(given = "Yves", family = "Rosseel", role = "aut", email="Yves.Rosseel@UGent.be"),
person(given = "Corbin", family = "Quick", role = "ctb", email="corbinq@umich.edu"),
person(given = "Mauricio", family = "Garnier-Villarreal", role = "ctb", email="mgv@ku.edu"),
person(given = "James", family = "Selig", role = "ctb", email="selig@unm.edu"),
person(given = "Aaron", family = "Boulton", role = "ctb", email="aboulton@email.unc.edu"),
person(given = "Kristopher", family = "Preacher", role = "ctb", email="kris.preacher@vanderbilt.edu"),
person(given = "Donna", family = "Coffman", role = "ctb", email="dlc30@psu.edu"),
person(given = "Mijke", family = "Rhemtulla", role = "ctb", email="M.T.Rhemtulla@uva.nl"),
person(given = "Alexander", family = "Robitzsch", role = "ctb", email="a.robitzsch@bifie.at"),
person(given = "Craig", family = "Enders", role = "ctb", email="Craig.Enders@asu.edu"),
person(given = "Ruber", family = "Arslan", role = "ctb", email="rubenarslan@gmail.com"),
person(given = "Bell", family = "Clinton", role = "ctb", email="clintonbell@ku.edu"),
person(given = "Pavel", family = "Panko", role = "ctb", email="pavel.panko@ttu.edu"),
person(given = "Edgar", family = "Merkle", role = "ctb", email="merklee@missouri.edu"),
person(given = "Terry", family = "Jorgensen", role = "ctb", email="TJorgensen314@gmail.com"),
person(given = "Steven", family = "Chesnut", role = "ctb", email="steven.chesnut@ttu.edu"),
person(given = "Jarrett", family = "Byrnes", role = "ctb", email="Jarrett.Byrnes@umb.edu")
)
c(person("Olaf", "Mersmann", role=c("aut", "cre"),
email="olafm@p-value.net"), person("Quinn", "Weber",
role="ctb"))
c(person(given="Rune Haubo Bojesen", family="Christensen",
email="rhbc@dtu.dk", role=c("aut", "cre")),
person(given="Per Bruun", family="Brockhoff",
email="perbb@dtu.dk", role=c("aut")))
c(person(given = "Laurent", family = "Gatto",
email = "lg390@cam.ac.uk",
role = c("aut", "cre")),
person(given = "Robert", family ="Stojnic",
email = "rs550@cam.ac.uk",
role = "aut"))
c(
person("Michael", "Hahsler", role = c("aut", "cre", "cph"),
email = "mhahsler@lyle.smu.edu"),
person("Christian", "Buchta", role = c("aut", "cph")),
person("Kurt", "Hornik", role = c("aut", "cph")),
person("Fionn", "Murtagh", role = c("ctb", "cph")),
person("Michael", "Brusco", role = c("ctb", "cph")),
person("Stephanie", "Stahl", role = c("ctb", "cph")),
person("Hans-Friedrich", "Koehn", role = c("ctb", "cph")))
c(person(given = "Peter", family = "Teunis", email =
"peter.teunis@rivm.nl", role = c("aut"), comment = "Author of the method
and original code"), person(given = "Daniel", family = "Lewandowski", email
= "daniel@nextpagesoft.net", role = c("com", "ctb"), comment = "Creator of
the R package"), person(given = "Chantal", family = "Quinten", email =
"seroincidence@ecdc.europa.eu", role = c("ctb", "cre"), comment = "Project
manager and the package maintainer"))
c(
person("Carson", "Sievert", role = "ctb"),
person("Jesse", "Anderson", role = "ctb"),
person("Yihui", "Xie", role = c("aut", "cre"), email = "xie@yihui.name"),
person()
)
c(person("Eric", "Lamb", role = c("aut", "cre"),email =
"eric.lamb@usask.ca"),person("Kerrie", "Mengersen", role =
"aut"),person("Katherine", "Stewart", role = "aut"),person("Udayanga",
"Attanayake", role = "aut"),person("Steven", "Siciliano", role = "aut"))
c(person(given = "David", family = "Meyer", role = c("aut", "cre"), email = "David.Meyer@R-project.org"),
person(given = "Kurt", family = "Hornik", role = c("aut")),
person(given = "Christian", family = "Buchta", role = "ctb"))
c(
person("Dustin", "Tran", email = "dtran@g.harvard.edu", role = c("aut", "cre")),
person("Tian", "Lian", role = "aut"),
person("Panos", "Toulis", role = "aut"),
person("Ye", "Kuang", role = "ctb"),
person("Edoardo", "Airoldi", role = "ctb")
)
c(
person("Balasubramanian", "Narasimhan",
email = "naras@stat.stanford.edu", role = c("aut", "cre")),
person("Mei-Chiung", "Shih",
email = "meichiun@stanford.edu", role = "aut"))
c(person(given=c("Damian", "W."), family="Betebenner", email="dbetebenner@nciea.org", role=c("aut", "cre")),
person(given="Adam", family="Van Iwaarden", email="Vaniwaarden@colorado.edu", role="aut"),
person(given="Ben", family="Domingue", email="ben.domingue@gmail.com", role="aut"))
c(person("Lisa Anne", "Libungan", role = c("aut", "cre"),
email = "lisa.libungan@gmail.com"),
person("Snaebjorn", "Palsson", role = c("aut", "ths"),
email = "snaebj@hi.is"))
c(
person("Winston", "Chang", role = c("aut", "cre"), email = "winston@rstudio.com"),
person(family = "RStudio", role = "cph"),
person("Mark", "Otto", role = "ctb",
comment = "Bootstrap library"),
person("Jacob", "Thornton", role = "ctb",
comment = "Bootstrap library"),
person(family = "Bootstrap contributors", role = "ctb",
comment = "Bootstrap library; authors listed at https://github.com/twbs/bootstrap/graphs/contributors"),
person(family = "Twitter, Inc", role = "cph",
comment = "Bootstrap library"),
person("Brian", "Reavis", role = c("ctb", "cph"),
comment = "selectize.js library"),
person("Egor", "Khmelev", role = c("ctb", "cph"),
comment = "jslider library"),
person(family = "SpryMedia Limited", role = c("ctb", "cph"),
comment = "DataTables library")
)
c(
person("Winston", "Chang", role = c("aut", "cre"), email = "winston@rstudio.com"),
person(family = "RStudio", role = "cph"),
person(family = "Almasaeed Studio", role = c("ctb", "cph"), comment = "AdminLTE theme for Bootstrap"),
person(family = "Adobe Systems Incorporated", role = c("ctb", "cph"), comment = "Source Sans Pro font")
)
person("Dean", "Attali", email = "daattali@gmail.com",
role = c("aut", "cre"))
c(
person("Winston", "Chang", role = c("aut", "cre"), email = "winston@rstudio.com"),
person(family = "RStudio", role = "cph"),
person("Thomas", "Park", role = c("ctb", "cph"), comment = "Bootswatch themes"),
person("Lukasz", "Dziedzic", role = c("ctb", "cph"), comment = "Lato font"),
person("Nathan", "Willis", role = c("ctb", "cph"), comment = "News Cycle font"),
person(family = "Google Corporation", role = c("ctb", "cph"), comment = "Open Sans font"),
person("Matt", "McInerney", role = c("ctb", "cph"), comment = "Raleway font"),
person(family = "Adobe Systems Incorporated", role = c("ctb", "cph"), comment = "Source Sans Pro font"),
person(family = "Canonical Ltd", role = c("ctb", "cph"), comment = "Ubuntu font")
)
c(
person(family="Trestle Technology, LLC", role="aut", email="cran@trestletechnology.net"),
person("Jeff", "Allen", role="cre", email="cran@trestletechnology.net"),
person(family="Institut de Radioprotection et de S<c3><bb>ret<c3><a9> Nucl<c3><a9>aire", role=c("cph"), email = "yann.richet@irsn.fr"),
person("Ivan", "Bozhanov", role=c("ctb", "cph"), comment = "jsTree"),
person(family="The Dojo Foundation", role=c("ctb", "cph"), comment="require.js"),
person(family="jQuery Foundation, Inc.", role=c("ctb", "cph")))
c(person("Liran","Lerman",role =
c("cre","aut"),email="llerman@ulb.ac.be"),person("Gianluca","Bontempi",role
=
c("aut"),email="gbonte@ulb.ac.be"),person("Olivier","Markowitch",role
= c("aut"),email="olivier.markowitch@ulb.ac.be"))
c(person("Uwe", "Ligges", role = c("aut", "cre"), email="ligges@statistik.tu-dortmund.de", comment = "new maintainer"),
person("Tom", "Short", role = "aut", email = "tshort@eprisolutions.com", comment="port to R"),
person("Paul", "Kienzle", role = "aut", comment="majority of the original sources"),
person("Sarah", "Schnackenberg", role = "ctb", comment="various test cases and bug fixes"),
person("David", "Billinghurst", role = "ctb"),
person("Hans-Werner", "Borchers", role = "ctb"),
person("Andre", "Carezia", role = "ctb"),
person("Pascal", "Dupuis", role = "ctb"),
person("John W.", "Eaton", role = "ctb"),
person("E.", "Farhi", role = "ctb"),
person("Kai", "Habel", role = "ctb"),
person("Kurt", "Hornik", role = "ctb"),
person("Sebastian", "Krey", role = "ctb"),
person("Bill", "Lash", role = "ctb"),
person("Friedrich", "Leisch", role = "ctb"),
person("Olaf", "Mersmann", role = "ctb"),
person("Paulo", "Neis", role = "ctb"),
person("Jaakko", "Ruohio", role = "ctb"),
person("Julius O.", "Smith III", role = "ctb"),
person("Doug", "Stewart", role = "ctb"),
person("Andreas", "Weingessel", role = "ctb"))
c(
person("Michal", "Burdukiewicz",
email = "michalburdukiewicz@gmail.com", role = c("cre", "aut")),
person("Piotr", "Sobczyk",
role = "aut"))
c(
person("Oleg", "Sofrygin", role=c("aut", "cre"), email="oleg.sofrygin@gmail.com"),
person(c("Mark", "J."), "van der Laan", role="aut", email="laan@berkeley.edu"),
person("Romain", "Neugebauer", role="aut", email="Romain.S.Neugebauer@kp.org"))
person(given="David",family="Dernoncourt",email="me@daviddernoncourt.com",role=c("aut","cre"),comment="LUNAM Universite, Universite Angers, Laboratoire d'ergonomie et d'epidemiologie en sante au travail (LEEST), w/ support from the French National Research Program for Environmental and Occupational Health of Anses (2012/18)")
c(person("Olivier", "Lepais", role=c("aut", "cre"), email = "olepais@st-pee.inra.fr"), person("Jason", "Weir", role=c("aut")))
c(person(given = "Sunthud", family = "Pornprasertmanit", role = c("aut", "cre"), email = "sunthud.pornprasertmanit@ttu.edu"),
person(given = "Patrick", family = "Miller", role = "aut", email="pmille13@nd.edu"),
person(given = "Alexander", family = "Schoemann", role = "aut", email="schoemanna@ecu.edu"),
person(given = "Corbin", family = "Quick", role = "ctb", email="corbinq@umich.edu"),
person(given = "Terry", family = "Jorgensen", role = "ctb", email="TJorgensen314@gmail.com"))
person(given = c("Erik", "Barry"), family = "Erhardt", email = "erike@stat.unm.edu", role = c("aut", "cre"))
c(person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org"),
person("Ingo", "Feinerer", role = "aut"),
person("Martin", "Kober", role = "aut"))
as.person(c(
"W. Gregory Alvord <greg.alvord@nih.gov> [aut, cre]",
"Nick Carchedi <nick.carchedi@gmail.com> [aut]"
))
c(person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org"),
person("David", "Meyer", role = "aut"),
person("Christian", "Buchta", role = "aut"))
c(person("Patrick", "Mair", role = c("aut", "cre"), email =
"mair@fas.harvard.edu"), person("Jan", "De Leeuw", role = "aut"),
person("Ingwer", "Borg", role = "ctb"), person("Patrick J. F.", "Groenen",
role = "aut"))
person("Jonathan", "Bartlett", email = "jonathan.bartlett@lshtm.ac.uk",
role = c("aut", "cre"))
c(person("Jeffrey B.", "Arnold", role = c("aut", "cre"),
email = "jeffrey.arnold@gmail.com"),
person("Alan", "Agresti", role = c("cph")),
person("Barbara", "Finlay", role = c("cph")))
person(given=c("Carter", "T."), family="Butts", role=c("aut","cre","cph"), email = "buttsc@uci.edu")
c(person("Mickael", "Canouil", role = c("aut", "cre"), email = "mickael.canouil@cnrs.fr"),
person("Loic", "Yengo", role = "ctb", email = "loic.yengo@good.ibl.fr"))
c( person( "Julien", "Moeys", role = c("aut", "cre"), email = "jules_m78-soiltexture@yahoo.fr" ), person( "Wei", "Shangguan", role = "ctb" ), person( "Rainer", "Petzold", role = "ctb" ), person( "Budiman", "Minasny", role = "ctb" ), person( "Bogdan", "Rosca", role = "ctb" ), person( "Nic", "Jelinski", role = "ctb" ), person( "Wiktor", "Zelazny", role = "ctb" ), person( "Rodolfo", "Marcondes Silva Souza", role = "ctb" ), person( "Jose Lucas", "Safanelli", role = "ctb" ), person( "Alexandre", "ten Caten", role = "ctb" ) )
c(
person("Andrey", "Ziyatdinov", email = "andrey.ziyatdinov@upc.edu", role = c("cre", "aut")),
person("Helena", "Brunel", role = "aut"),
person("Angel", "Martinez-Perez", role = "aut"),
person("Alfonso", "Buil", role = "aut"),
person("Alexandre", "Perera", role = "cph"),
person("Jose Manuel", "Soria", role = "cph"))
c(person("Laura", "Bendhaiba", role = "aut", email="laurabendhaiba@gmail.com"),
person("Julien", "Boelaert", role= "aut", email="julien.boelaert@gmail.com"),
person("Madalina", "Olteanu", role = "aut", email="madalina.olteanu@univ-paris1.fr"),
person("Nathalie", "Villa-Vialaneix", role = c("aut", "cre"), email="nathalie.villa@toulouse.inra.fr"))
person(given = "Daniel", family = "Nuest", role = c("cre",
"aut"), email = "daniel.nuest@uni-muenster.de")
person("Federico", "Mattiello", role = c("aut", "cre"),
email = "federico.mattiello@gmail.com")
c(person("Edzer", "Pebesma", role = c("aut", "cre"),
email = "edzer.pebesma@uni-muenster.de"),
person("Roger", "Bivand", role = "aut",
email = "Roger.Bivand@nhh.no"),
person("Barry", "Rowlingson", role = "ctb"),
person("Virgilio", "Gomez-Rubio", role = "ctb"),
person("Robert", "Hijmans", role = "ctb"),
person("Michael", "Sumner", role = "ctb"),
person("Don", "MacQueen", role = "ctb"),
person("Jim", "Lemon", role = "ctb"),
person("Josh", "O'Brien", role = "ctb"))
c(
person("Balasubramanian", "Narasimhan",
email = "naras@stat.stanford.edu", role = c("aut", "cre")),
person("Mei-Chiung", "Shih",
email = "meichiun@stanford.edu", role = "aut"),
person("Pei", "He",
email = "he.pei.hepei@gmail.com", role = "aut"))
c(person("Edzer", "Pebesma", role = c("cre", "aut"),
email = "edzer.pebesma@uni-muenster.de"),
person("Benedikt", "Graeler", role = "ctb"),
person("Tom", "Gottfried", role = "ctb"),
person("Robert J.", "Hijmans", role = "ctb"))
c(person("Till", "Junge", role = c("aut", "cre"),
email = "till.junge@altermail.ch"),
person("Sandra", "Penic", role = "aut",
email = "sandra.penic@unil.ch"),
person("Mathieu", "Cossuta", role = "aut",
email = "mcossutta@gmail.com"),
person("Guy", "Elcheroth", role = "aut",
email = "guy.elcheroth@unil.ch"),
person("Stephanie", "Glaeser", role = "ctb",
email = "stephanie.glaeser@unil.ch"),
person("Davide", "Morselli", role = "ctb",
email = "davide.morselli@unil.ch"))
c(person("Reinhard", "Furrer", role = c("aut", "cre"),
email = "reinhard.furrer@math.uzh.ch"),
person("Florian", "Gerber", role = "ctb",
email = "florian.gerber@math.uzh.ch"))
c(person("François", "Rousset", role = c("aut", "cre", "cph"),
email = "francois.rousset@univ-montp2.fr"),
person("Jean-Baptiste", "Ferdy", role = c("aut","cph")))
c(person("Thomas", "Leeper", role = c("aut", "cre"), email =
"thosjleeper@gmail.com"), person("Andy", "Barbour", role =
"ctb"))
c(person("Brian", "Ripley", role = c("aut", "cre", "cph"),
email = "ripley@stats.ox.ac.uk"),
person("Roger", "Bivand", role = "ctb"),
person("William", "Venables", role = "cph"))
c(person(family="Evans", given="Jeffrey S.", email = "jeffrey_evans@tnc.org",
role = c("aut", "cre")), person(family="Ram", given="Karthik", role = "ctb") )
c(person("Mathieu", "Ribatet", role = c("aut", "cre"),
email = "mathieu.ribatet@univ-montp2.fr"),
person("Richard", "Singleton", role = "ctb"),
person("R Core team", role = "ctb"))
c(
person("Timothee", "Giraud", email = "timothee.giraud@ums-riate.fr", role = c("cre","aut")),
person("Hadrien", "Commenges", email = "hcommenges@parisgeo.cnrs.fr", role = c("aut")),
person("Joel", "Boulier", email = "joel.boulier@univ-paris1.fr", role = c("ctb")))
c( person(given = "Dennis", family = "Walvoort", email =
"dennis.Walvoort@wur.nl", role = c("aut", "cre", "cph")),
person(given = "Dick", family = "Brus", email =
"dick.brus@wur.nl", role = c("aut", "cph")), person(given =
"Jaap", family = "de Gruijter", email =
"Jaap.degruijter@wur.nl", role = c("aut", "cph")))
c(
person("Roger", "Bivand", role = c("cre", "aut"), email = "Roger.Bivand@nhh.no"),
person("Micah", "Altman", role = "ctb"),
person("Luc", "Anselin", role = "ctb"),
person("Renato", "Assunção", role = "ctb"),
person("Olaf", "Berke", role = "ctb"),
person("Andrew", "Bernat", role = "ctb"),
person("Guillaume", "Blanchet", role = "ctb"),
person("Eric", "Blankmeyer", role = "ctb"),
person("Marilia", "Carvalho", role = "ctb"),
person("Bjarke", "Christensen", role = "ctb"),
person("Yongwan", "Chun", role = "ctb"),
person("Carsten", "Dormann", role = "ctb"),
person("Stéphane", "Dray", role = "ctb"),
person("Virgilio", "Gómez-Rubio", role = "ctb"),
person("Rein", "Halbersma", role = "ctb"),
person("Elias", "Krainski", role = "ctb"),
person("Pierre", "Legendre", role = "ctb"),
person("Nicholas", "Lewin-Koh", role = "ctb"),
person("Hongfei", "Li", role = "ctb"),
person("Jielai", "Ma", role = "ctb"),
person("Giovanni", "Millo", role = "ctb"),
person("Werner", "Mueller", role = "ctb"),
person("Hisaji", "Ono", role = "ctb"),
person("Pedro", "Peres-Neto", role = "ctb"),
person("Gianfranco", "Piras", role = "ctb"),
person("Markus", "Reder", role = "ctb"),
person("Michael", "Tiefelsdorf", role = "ctb"),
person("Danlin", "Yu", role = "ctb"))
c(
person("Andreas", "Beger", role = c("aut", "cre"), email = "adbeger@gmail.com"),
person("Daina", "Chiba", role = c("aut"), email = "dchiba@essex.ac.uk"),
person("Daniel", "Hill", role = c("aut"), email = "dwhill@uga.edu"),
person("Nils", "Metternich", role = c("aut"), email = "n.metternich@ucl.ac.uk"),
person("Shahryar", "Minhas", role = c("aut"), email = "hermes829@gmail.com"),
person("Michael", "Ward", role = c("cph"), email = "michael.don.ward@gmail.com")
)
c(person("Stefan", "Siegert", role = c("aut", "cre"),
email = "s.siegert@exeter.ac.uk"))
c(
person('Santiago', 'Beguería', role=c('aut','cre'),
email='santiago.begueria@csic.es'),
person(c('Sergio','M.'), 'Vicente-Serrano', role='aut',
email='svicen@ipe.csic.es'))
c(
person("Roger", "Bivand", role = c("cre", "aut"), email = "Roger.Bivand@nhh.no"),
person("Rainer", "Krug", role = "ctb"),
person("Markus", "Neteler", role = "ctb"))
c(person("Andrew", "Hart", role = c("aut", "cre"), email = "ahart@dim.uchile.cl"),
person("Servet", "Martínez", role = "aut"),
person("Universidad de Chile", role = "cph"),
person("INRIA-Chile", role = "cph"))
c(
person("Roger", "Bivand", role = c("cre", "aut"), email = "Roger.Bivand@nhh.no"),
person("Danlin", "Yu", role = "aut"),
person("Tomoki", "Nakaya", role = "ctb"),
person("Miquel-Angel", "Garcia-Lopez", role = "ctb"))
c(
person("Roger", "Bivand", role = c("cre"), email = "Roger.Bivand@nhh.no"),
person("Barry", "Rowlingson", role = "aut"),
person("Peter", "Diggle", role = "aut"),
person("Giovanni", "Petris", role = "ctb"),
person("Stephen", "Eglen", role = "ctb"))
c(person(given = "Giovanni", family = "Millo", role = c("aut", "cre"), email = "giovanni.millo@generali.com"),
person(given = "Gianfranco", family = "Piras", role = c("aut"), email = "gpiras@mac.com"))
c(person("Scott", "Chamberlain", role = c("aut", "cre"),
email = "myrmecocystus@gmail.com"),
person("Karthik", "Ram", role = "aut",
email = "karthik.ram@gmail.com"),
person("Ted", "Hart", role = "aut",
email = "edmund.m.hart@gmail.com"))
c(
person("Thomas", "Bartz-Beielstein", role = "aut"),
person("Martin", "Zaefferer", role = c("cre","ctb"), email = "martin.zaefferer@gmx.de"),
person("Joerg", "Ziegenhirt", role = "ctb"),
person("Wolfgang","Konen",role = "ctb"),
person("Oliver","Flasch", role = "ctb"),
person("Patrick","Koch", role = "ctb"),
person("Martina","Friese", role = "ctb")
)
c(
person("Alessandro", "Samuel-Rosa", role = c("aut", "cre"),
email = "alessandrosamuelrosa@gmail.com"),
person("Lucia Helena Cunha dos", "Anjos", role = "ths",
email = "lanjos@ufrrj.br"),
person("Gustavo de Mattos", "Vasques", role = "ths",
email = "gustavo.vasques@embrapa.br"),
person("Gerard B M", "Heuvelink", role = "ths",
email = "gerard.heuvelink@wur.nl"),
person("Edzer", "Pebesma", role = "ctb",
email = "edzer.pebesma@uni-muenster.de"),
person("Jon", "Skoien", role = "ctb",
email = "jon.skoien@gmail.com"),
person("Joshua", "French", role = "ctb",
email = "joshua.french@ucdenver.edu"),
person("Pierre", "Roudier", role = "ctb",
email = "roudierp@landcareresearch.co.nz"),
person("Dick", "Brus", role = "ctb",
email = "dick.brus@wur.nl"),
person("Murray", "Lark", role = "ctb",
email = "mlark@bgs.ac.uk")
)
c(
person("Tom", "Kincaid", role=c("aut", "cre"),
email = "Kincaid.Tom@epa.gov"),
person("Tony", "Olsen",  role="aut",
email = "Olsen.Tony@epa.gov"),
person("Don", "Stevens",  role="ctb"),
person("Christian", "Platt",  role="ctb"),
person("Denis", "White",  role="ctb"),
person("Richard", "Remington",  role="ctb")
)
person('Zachary', 'Weller', email = 'wellerz@stat.colostate.edu', role = c('aut', 'cre'))
c(person("Sean", "Anderson", email =
"sean@seananderson.ca", role = c("aut", "cre")),
person("Cole", "Monnahan", role = "aut"),
person("Kelli", "Johnson", role = "aut"),
person("Kotaro", "Ono", role = "aut"),
person("Juan", "Valero", role = "aut"),
person("Curry", "Cunningham", role = "aut"),
person("Felipe", "Hurtado-Ferro", role = "aut"),
person("Roberto", "Licandeo", role = "aut"),
person("Carey", "McGilliard", role = "aut"),
person("Melissa", "Muradian", role = "ctb"),
person("Cody", "Szuwalski", role = "aut"),
person("Katyana", "Vert-pre", role = "aut"),
person("Athol", "Whitten", role = "aut"))
c(
person("Alexander", "Duerre", role=c("aut","cre"), email="alexander.duerre@tu-dortmund.de"),
person("Daniel", "Vogel", role=c("aut"), email="daniel.vogel@abdn.ac.uk"))
c(person(given = "Charles", family = "Auerbach", role = c("aut", "cre"), email = "auerbach@yu.edu"),
person(given = "Wendy", family = "Zeitlin", role = "aut", email = "Wendy.Zeitlin@yu.edu"))
c( person("Mark S.", "Handcock", role=c("aut","cre","cph"),
email="handcock@stat.ucla.edu"), person("Krista J.", "Gile", role=c("aut","cph"),
email="gile@math.umass.edu"))
person("Andrie", "de Vries", role=c("aut", "cre"),
email="apdevries@gmail.com")
c(person("Benjamin", "Hofner", role = c("aut", "cre"),
email = "benjamin.hofner@fau.de"),
person("Torsten", "Hothorn", role = c("aut")))
c(person("Ben",family="Goodrich", email="benjamin.goodrich@columbia.edu", role=c('cre','aut')),
person("Joshua", "Pritikin", role = "ctb"),
person("Andrew", "Gelman", role = "aut"),
person("Bob", "Carpenter",  role = "aut"),
person("Matt", "Hoffman", role = "aut"),
person("Daniel", "Lee", role = "aut"),
person("Michael", "Betancourt", role = "aut"),
person("Marcus", "Brubaker", role = "aut"),
person("Jiqiang", "Guo", role = "aut"),
person("Peter", "Li", role = "aut"),
person("Allen", "Riddell", role = "aut"),
person("Marco", "Inacio", role = "aut"),
person("Mitzi", "Morris", role = "aut"),
person("Jeffrey", "Arnold", role = "aut"),
person("Rob", "Goedman", role = "aut"),
person("Brian", "Lau", role = "aut"),
person("Rob", "Trangucci", role = "aut"),
person("Jonah", "Gabry", role = "aut"),
person("Alp", "Kucukelbir", role = "aut"),
person("Robert", "Grant", role = "aut"),
person("Dustin", "Tran", role = "aut"),
person("Michael", "Malecki", role = "aut"),
person("Yuanjun", "Gao", role = "aut"))
person("Matthieu","Gomez", email = "mattg@princeton.edu", role =
c("aut", "cre"))
c(person(given = "David", family = "Meyer", role = c("aut", "cre"), email = "David.Meyer@R-project.org"),
person(given = "Torsten", family = "Hothorn", role = c("aut")),
person(given = "Friedrich", family = "Leisch", role = "aut"))
person(
"Richard", "Iannone",
role = c("aut", "cre"),
email = "riannone@me.com")
c(
person("Mark S.", "Handcock", role=c("aut"), email="handcock@stat.ucla.edu"),
person("David R.", "Hunter", role=c("aut"), email="dhunter@stat.psu.edu"),
person("Carter T.", "Butts", role=c("aut"), email="buttsc@uci.edu"),
person("Steven M.", "Goodreau", role=c("aut"), email="goodreau@u.washington.edu"),
person("Pavel N.", "Krivitsky", role=c("aut"), email="pavel@uow.edu.au"),
person("Skye", "Bender-deMoll", role=c("aut"), email="skyebend@skyeome.net"),
person("Martina", "Morris", role=c("aut","cre"), email="morrism@u.washington.edu")
)
c(
person("Pavel N.", "Krivitsky", role=c("aut","cre"), email="pavel@uow.edu.au"))
c(
person("Emily", "Beylerian", email = "ebey@uw.edu", role = c("cre", "aut")),
person("Kirk", "Li", email = "kirkli@uw.edu", role = "ctb"),
person("Samuel", "Jenness", email = "sjenness@uw.edu", role = "ctb"),
person("Martina", "Morris", email = "morrism@uw.edu", role = "ctb"))
person("Chris", "Krogslund", role = c("aut", "cre"),
email = "ckrogslund@berkeley.edu")
c(person("Matteo", "Dell'Omodarme", role = c("aut", "cre"),
email = "mattdell@fastmail.fm"), person("Giada", "Valle", role
= "aut"))
c(person("Timo", "Aspelmeier", role = c("cre", "aut"), email = "timo.aspelmeier@mathematik.uni-goettingen.de"),
person("Thomas", "Hotz", role = "aut", email = "thomas.hotz@tu-ilmenau.de"),
person("Hannes", "Sieling", role = "aut", email = "hsielin@uni-goettingen.de"),
person("Pein", "Florian", role = "ctb", email = "florian.pein@stud.uni-goettingen.de"))
c(person(given = "Elise", family = "Dusseldorp", role =
c("aut", "cre","cph"), email = "elise.dusseldorp@tno.nl"),
person(given = "Claudio", family = "Conversano", role = c("aut", "cph"), email
= "conversa@unica.it"),person("Cor","Ninaber",role="ctb"),person("Kristof","Meers",role="ctb"),person("Peter","Neufeglise",role="trl"))
person("Gregor", "Kastner", role = c("aut", "cre"), email = "gregor.kastner@wu.ac.at")
c(person("Michael", "Hahsler", role = c("aut", "cre", "cph"),
email = "mhahsler@lyle.smu.edu"),
person("Matthew", "Bolanos", role = c("aut", "cph")),
person("John", "Forrest", role = c("aut", "cph")))
c( person("Mark", "van der Loo", role=c("aut","cre"),email="mark.vanderloo@gmail.com")
, person("Jan", "van der Laan", role="ctb"),person("R Core Team","",role=c("ctb")),person("Nick","Logan",role="ctb"))
c(
person("Hadley", "Wickham", , "hadley@rstudio.com", c("aut", "cre", "cph")),
person("RStudio", role = "cph")
)
c(person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
person(given = "Friedrich", family = "Leisch", role = "aut", email = "Friedrich.Leisch@R-project.org"),
person(given = "Kurt", family = "Hornik", role = "aut", email = "Kurt.Hornik@R-project.org"),
person(given = "Christian", family = "Kleiber", role = "aut", email = "Christian.Kleiber@unibas.ch"),
person(given = "Bruce", family = "Hansen", role = "ctb"),
person(give = c("Edgar", "C."), family = "Merkle", role = "ctb"))
c(person("Nathan", "Morris", role = c("aut", "cre"), email = "nathan.morris@cwru.edu"),
person("Yeunjoo", "Song", role = c("aut"), email = "yeunjoo.song@cwru.edu"),
person("Stephen", "Cahn", role = "ctb"))
c(person("Jorge" ,"Orestes Cerdeira", role="aut", email="jo.cerdeira@fct.unl.pt"),
person("Pedro", "Duarte Silva", role="aut", email="psilva@porto.ucp.pt"),
person("Jorge", "Cadima", role=c("aut","cre"),  email="jcadima@isa.utl.pt"),
person("Manuel",  "Minhoto", role="aut", email="minhoto@uevora.pt"))
c(MH = person("Michael", "Höhle",
email = "hoehle@math.su.se",
role = c("aut", "cre", "ths")),
SM = person("Sebastian", "Meyer",
email = "Sebastian.Meyer@ifspm.uzh.ch",
role = "aut"),
MP = person("Michaela", "Paul", role = "aut"),
LH = person("Leonhard", "Held",
email = "Leonhard.Held@uzh.ch",
role = c("ctb", "ths")),
person("Thais", "Correa", role = "ctb"),
person("Mathias", "Hofmann", role = "ctb"),
person("Christian", "Lang", role = "ctb"),
person("Juliane", "Manitz", role = "ctb"),
person("Andrea", "Riebler", role = "ctb"),
person("Daniel", "Sabanés Bové", role = "ctb"),
person("Maëlle", "Salmon", role = "ctb"),
person("Dirk", "Schumacher", role = "ctb"),
person("Stefan", "Steiner", role = "ctb"),
person("Mikko", "Virtanen", role = "ctb"),
person("Valentin", "Wimmer", role = "ctb"),
person("R Core Team", role = "ctb",
comment = "A few code segments are modified versions of
code from base R"))
c(person(c("Terry", "M"), "Therneau",
email="therneau.terry@mayo.edu",
role=c("aut", "cre")),
person("Thomas", "Lumley", role=c("ctb", "trl"),
comment="original S->R port and maintainer until 2009"))
c(person("Philippe", "Grosjean", role = c("aut", "cre"),
email = "phgrosjean@sciviews.org"))
c(
person(
"Anders", "Riutta et. al.", role = c("aut", "cph"),
comment = "svg-pan-zoom.js BSD-licensed library in htmlwidgets/lib,
https://github.com/ariutta/svg-pan-zoom"
),
person(
"Kent", "Russell", role = c("aut", "cre"),
comment = "R interface to svg-pan-zoom.js",
email = "kent.russell@timelyportfolio.com"
)
)
c(person("Philippe", "Grosjean", role = c("aut", "cre"),
email = "phgrosjean@sciviews.org"),
person("Romain", "Francois", role = "ctb",
email = "romain@r-enthusiasts.com"),
person("Kamil", "Barton", role = "ctb",
email = "kamil.barton@uni-wuerzburg.de"))
c(person("Philippe", "Grosjean", role = c("aut", "cre"),
email = "phgrosjean@sciviews.org"),
person("Matthew", "Dowle", role = "ctb",
email = "mdowle@mdowle.plus.com"))
c(person("Philippe", "Grosjean", role = c("aut", "cre"),
email = "phgrosjean@sciviews.org"),
person("Romain", "Francois", role = "aut",
email = "romain@r-enthusiasts.com"))
c(
person("Nick", "Carchedi", email = "nick.carchedi@gmail.com",
role = c("aut", "cre")),
person("Bill", "Bauer", role = "aut"),
person("Gina", "Grdina", role = "aut"),
person("Sean", "Kross", role = "aut")
)
c(
person(c("C.", "Jonathan"), "Fritzemeier", role = c("cre", "ctb"), email = "clausjonathan.fritzemeier@uni-duesseldorf.de"),
person("Gabriel", "Gelius-Dietrich", role = c("aut")),
person("Rajen", "Piernikarczyk", role = "ctb"),
person(c("Marc", "Andre"), "Daxer", role = "ctb"),
person("Benjamin", "Braasch", role = "ctb"),
person("Abdelmoneim", "Desouki", role = "ctb"),
person(c("Martin", "J."), "Lercher", role = "ctb"))
c(person("Abdelmoneim", "Amer Desouki", role = c("aut","cre"), email = "abdelmoneim.amer@uni-duesseldorf.de"))
c(person("Abdelmoneim", c("Amer", "Desouki"), role =
c("aut", "cre"), email =
"Abdelmoneim.Amer@uni-duesseldorf.de"))
c(person(c("C.", "Jonathan"), "Fritzemeier", role = c("cre", "ctb"), email = "clausjonathan.fritzemeier@uni-duesseldorf.de"),
person("Gabriel", "Gelius-Dietrich", role = c("aut", "ctb")),
person("Deya", "Alzoubi", role = "ctb"))
person("Matthew", "Jockers", email = "mjockers@gmail.com",
role = c("aut", "cre"))
person("Seth", "Wenchel", email = "seth@wenchel.com", role = c("aut", "cre", "cph"))
c(person(given = "Ernest", family = "Kwan", role="aut"),
person(given = "Michael", family = "Friendly", role=c("aut",
"cre"), email="friendly@yorku.ca") )
person("Jimmy", "Oh", role = c("aut", "cre"), email = "joh024@aucklanduni.ac.nz")
c(person(given = "Isabella", family = "Gollini", role = c("aut","cre"), email = "igollini.stats@gmail.com"), person("Jonathan", "Rougier", role = "ctb"))
c(person("Thomas", "Kiefer", role = c("aut"), email =
"t.kiefer@bifie.at"), person("Alexander", "Robitzsch", role =
c("aut","cre"), email = "a.robitzsch@bifie.at"),
person("Margaret", "Wu", role = "aut"))
c(person(given = "Edgar", family = "Kublin", role = "aut"),
person(given = "Johannes", family = "Breidenbach", role = c("ctb","cre"),
email = "Johannes.Breidenbach@SkogogLandskap.no"))
c(person("Christian", "Buchta", role = "aut"),
person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org"),
person("Ingo", "Feinerer", role = "aut"),
person("David", "Meyer", role = "aut"))
c(
person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com"),
person("Eduard", "Szoecs", role = "aut", email = "eduardszoecs@gmail.com"),
person("Zachary", "Foster", role = "aut", email = "zacharyfoster1989@gmail.com"),
person("Carl", "Boettiger", role = "aut", email = "cboettig@gmail.com"),
person("Karthik", "Ram", role = "aut", email = "karthik@ropensci.org"),
person("Ignasi", "Bartomeus", role = "aut", email = "nacho.bartomeus@gmail.com"),
person("John", "Baumgartner", role = "aut", email = "johnbb@student.unimelb.edu.au")
)
c(person("Boris P.", "Hejblum", role = c("aut", "cre"),
email = "boris.hejblum@isped.u-bordeaux2.fr"))
c(person("Paul", "Pearson", email = "pearsonp@hope.edu",
role = c("aut", "cre","trl")), person("Daniel", "Muellner",
role = c("aut","ctb")), person("Gurjeet","Singh", role = c("aut","ctb")))
person("Oscar", "Perpinan Lamigueiro", email="oscar.perpinan@gmail.com", role=c('cre', 'aut'))
c(
person("Pavel N.", "Krivitsky", role=c("aut","cre"), email="pavel@uow.edu.au"),
person("Mark S.", "Handcock", role=c("aut","ths"), email="handcock@stat.ucla.edu"),
person("David R.", "Hunter", role=c("ctb"), email="dhunter@stat.psu.edu"),
person("Steven M.", "Goodreau", role=c("ctb","ths"), email="goodreau@u.washington.edu"),
person("Martina", "Morris", role=c("ctb","ths"), email="morrism@u.washington.edu"),
person("Nicole Bohme", "Carnegie", role=c("ctb"), email="nicole.carnegie@nyu.edu"),
person("Carter T.", "Butts", role=c("ctb"), email="buttsc@uci.edu"),
person("Ayn", "Leslie-Cook", role=c("ctb"), email="aynlc3@uw.edu"),
person("Skye", "Bender-deMoll", role=c("ctb"), email="skyebend@skyeome.net"),
person("Li","Wang",role=c("ctb"),email="lxwang@gmail.com"),
person("Kirk","Li",role=c("ctb"),email="kirkli@uw.edu"))
c(person("Robert", "Krzyzanowski",
email = "technoguyrob@gmail.com", role = c("aut", "cre")))
c(person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org"),
person("Johannes", "Rauch", role = "aut"),
person("Christian", "Buchta", role = "aut",
email = "christian.buchta@wu.ac.at"),
person("Ingo", "Feinerer", role = "aut",
email = "feinerer@logic.at"))
c(
person("Tom", "Shott", role = c("aut", "cre"), email = "tshott@pdx.edu"),
person("Dong-Joon", "Lim", role = "aut", email="tgno3.com@gmail.com"))
c( person("Jorge", "More", role = "ctb"),
person("Burton", "Garbow", role = "ctb"),
person("Kenneth", "Hillstrom", role = "ctb"),
person("John", "Burkardt", role = "ctb"),
person("Jun", "Peng", role = c("aut","cre"), email="pengjun10@mails.ucas.ac.cn"))
c(person("Torsten", "Hothorn", role = c("aut", "cre"),
email = "Torsten.Hothorn@R-project.org"))
as.person(c(
"Hadley Wickham <hadley@rstudio.com> [aut, cre]",
"RStudio [cph]"
))
c(
person("Charlie", "Sharpsteen", role = "aut"),
person("Cameron", "Bracken", role = "aut"),
person("Kirill", "Müller", role = c("ctb", "cre"), email = "krlmlr+r@mailbox.org"),
person("Yihui", "Xie", role = "ctb")
)
person("Peter", "Humburg", email="peter.humburg@gmail.com",
role=c("aut", "cre"))
c(person("Gianluca", "Campanella", role=c("aut", "cre"),
email="gianluca@campanella.org"),
person("Marc", "Chadeau-Hyam", role="aut",
email="m.chadeau@imperial.ac.uk"),
person("Maria", "De Iorio", role="ctb",
email="m.deiorio@ucl.ac.uk"),
person("Ajay", "Jasra", role="ctb",
email="staja@nus.edu.sg"))
c(person("Stefano", "Costa", role = c("aut", "cre"), email = "steko@iosa.it"),
person("Luca", "Bianconi", role = "aut", email = "luca@iosa.it"),
person("Elisabetta", "Starnini", role = "ctb"))
c(person("Ingo", "Feinerer", role = c("aut", "cre"),
email = "feinerer@logic.at"),
person("Kurt", "Hornik", role = "aut"),
person("Artifex Software, Inc.", role = c("ctb", "cph"),
comment = "pdf_info.ps taken from GPL Ghostscript"))
c(person("Milan", "Bouchet-Valat", email="nalimilan@club.fr",
role=c("aut", "cre")),
person("Grigorij", "Ljubownikow",
email="g.ljubownikow@auckland.ac.nz",
role="ctb"))
c(person("Ingo", "Feinerer", role = c("aut", "cre"),
email = "feinerer@logic.at"),
person("Wolfgang", "Mauerer", role = c("aut")))
c(person("Derek S.", "Young", role = c("aut", "cre"),
email = "derek.young@uky.edu"))
c(person(given=c("Damian", "W."), family="Betebenner", email="dbetebenner@nciea.org", role=c("aut", "cre")),
person(given="Andrew", family="Martin", role="ctb"),
person(given="Jeff", family="Erickson", role="ctb"))
c(person("Bettina", "Grün", role = c("aut", "cre"),
email = "Bettina.Gruen@jku.at"),
person("Kurt", "Hornik", role = "aut"))
c(
person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com"),
person("Zachary", "Foster", role = "aut", email = "zacharyfoster1989@gmail.com"),
person("Ignasi", "Bartomeus", role = "aut", email = "nacho.bartomeus@gmail.com"),
person("David", "LeBauer", role = "aut", email = "dlebauer@gmail.com")
)
c(person("Edzer", "Pebesma", role = c("cre", "aut"),
email = "edzer.pebesma@uni-muenster.de"),
person("Benedikt", "Klus", role = "aut"),
person("Benedikt", "Graeler", role = "ctb"),
person("Nikolai", "Gorte", role = "ctb"))
c(
person("Alexis", "Gabadinho", role = c("aut", "cph")),
person("Matthias", "Studer", role = c("aut", "cph")),
person("Nicolas", "Muller", role = "aut"),
person("Reto", "Buergin", role = "aut"),
person("Gilbert", "Ritschard", role = c("aut", "cre", "cph"),
email = "gilbert.ritschard@unige.ch"))
c(
person("Gilbert", "Ritschard", role = c("aut", "cre", "ths", "cph"),
email = "gilbert.ritschard@unige.ch"),
person("Matthias", "Studer", role = "aut"),
person("Reto", "Buergin", role = "aut"),
person("Alexis", "Gabadinho", role = "ctb"),
person("Nicolas", "Muller", role = "ctb"),
person("Patrick", "Rousset", role = "ctb"))
c(person("Andreas","Wygrabek", role=c("aut","cre"),
email= "Andreas.Wygrabek@eoda.de"),
person("Bastian","Wiessner",role=c("aut"),
email= "Bastian.Wiessner@eoda.de"),
person(family = "eoda GmbH", role = "cph"))
c(person(given="Chel Hee", family="Lee", email = "chl948@mail.usask.ca", role = c("aut", "cre")), person(given="Edward", family="Kang", role="ctb", email="ewkang@hotmail.com"), person(given="Sunyoung", family="Kim", role="ctb", email="skim1970@hanmail.net"), person(given="Heather", family="Kim", role="ctb", email="heatherkimca@gmail.com"))
person(given = "Jeremy Thoms", family = "Hetzel", email =
"jthetzel@gmail.com", role = c("aut", "cre"))
c(person("Nicole Bohme", "Carnegie", role = c("aut", "cre"), email = "carnegin@uwm.edu"),
person("Masataka",       "Harada", role = "aut",           email = "masatakaharada@gmail.com"),
person("Vincent",         "Dorie", role = "aut",           email = "vjd4@nyu.edu"),
person("Jennifer",         "Hill", role = "ctb",           email = "jennifer.hill@nyu.edu"))
person("Brian", "Ripley", role = c("aut", "cre"),
email = "ripley@stats.ox.ac.uk")
c(person("Carl", "Boettiger", role = c("aut", "cre"),
email = "cboettig@gmail.com"),
person("Duncan", "Temple Lang", role = "aut"))
c(person("Christian", "Zang", role = c("aut", "cre", "cph", "trl"),
email = "christian.zang@wzw.tum.de"), person("Franco", "Biondi", role =
c("ctb", "cph")))
c(person("Michael D.","Sumner", role = c("aut", "cre"),
email = "mdsumner@gmail.com"),
person("Sebastian", "Luque", role = "ctb",
email = "spluque@gmail.com"))
c(person("Michael D.","Sumner", role = c("aut", "cre"),
email = "mdsumner@gmail.com"),
person("Simon", "Wotherspoon", role = "ctb",
email = "Simon.Wotherspoon@utas.edu.au"))
c(person("Yves", "Croissant", role = c("aut", "cre"), email = "yves.croissant@univ-reunion.fr"),
person("Achim", "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org"))
c(
person("Tobias", "Liboschik", role=c("aut", "cre"), email="liboschik@statistik.tu-dortmund.de"),
person("Roland", "Fried", role=c("aut"), email="fried@statistik.tu-dortmund.de"),
person("Konstantinos", "Fokianos", role=c("aut"), email="fokianos@ucy.ac.cy"),
person("Philipp", "Probst", role=c("aut"), email="philipp.probst@tu-dortmund.de"),
person("Jonathan", "Rathjens", role=c("ctb"), email="jonathan.rathjens@tu-dortmund.de"))
c(person("Antonio Fabio", "Di Narzo", role = "aut"),
person("Jose Luis", "Aznarte", role = "ctb"),
person("Matthieu", "Stigler", role = c("aut","cre"), email="Matthieu.Stigler@gmail.com"))
c(person("Adrian", "Trapletti", role = "aut",
email = "adrian@trapletti.org"),
person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org"),
person("Blake", "LeBaron", role = "ctb",
comment = "BDS test code"))
c(
person("Michael", "Hahsler", role = c("aut", "cre", "cph"),
email = "mhahsler@lyle.smu.edu"),
person("Kurt", "Hornik", role = c("aut", "cph")))
c(person(c("Rebecca", "Pontes"),"Salles", role = c("aut", "cre","cph"),email = "rebeccapsalles@gmail.com", comment = "CEFET/RJ"),person("Eduardo","Ogasawara", role = c("ths"),email = "eogasawara@ieee.org", comment = "CEFET/RJ"))
c(person(given="David", family="DEVREKER", role = c("aut"), email =
"David.Devreker@ifremer.fr" ), person(given="Alain", family="LEFEBVRE",
role = c("aut", "cre"), email = "Alain.Lefebvre@ifremer.fr" ) )
c(person(c("Ian", "H."), "Hutchinson", role = "aut",
comment = "author of tth/ttm C sources"),
person("Friedrich", "Leisch", role = c("aut", "cre"),
email = "Friedrich.Leisch@R-project.org",
comment = "author of R wrappers to tth/ttm"),
person("Achim", "Zeileis", role = "aut",
email = "Achim.Zeileis@R-project.org",
comment = "author of R wrappers to tth/ttm"))
c( person(given = c("Jennifer", "F."), family = "Bobb", role =
"aut", email = "jbobb@hsph.harvard.edu"), person(given =
"Ravi", family = "Varadhan", role = c("aut", "cre"), email =
"ravi.varadhan@jhu.edu"), person(given = "Hui", family =
"Zhao", role = "ctb"))
person("Jack", "Horne", role = c("aut", "cre"), email = "jack@jackhorne.net")
c(
person("Anna", "Cena", role = c("aut")),
person("Marek", "Gagolewski", role = c("aut")),
person("Marcin", "Kosinski", role = c("aut")),
person("Natalia", "Potocka", role = c("aut")),
person("Barbara", "Zogala-Siudem", role = c("aut", "cre"),
email = "zogala@rexamine.com")
)
c(person("Alberto", "Viglione", role=c("aut", "cre"), email="viglione@hydro.tuwien.ac.at"),
person("Juraj", "Parajka", role=c("aut"), email="parajka@hydro.tuwien.ac.at"))
c(person(given = "Mark", family = "Pinese", role = c("aut", "cre",
"cph"), email = "m.pinese@garvan.org.au"))
c(person("Thomas", "Leeper", role = c("aut","cre"),
email = "thosjleeper@gmail.com"),
person("Micah", "Altman", role = c("aut")))
c(person("Markus Baaske", role = c("aut", "cre"),
email = "markus.baaske@math.tu-freiberg.de"),
person("Felix", "Ballani", role = "ctb",
email = "ballani@math.tu-freiberg.de")
)
person("Shaun", "Jackman", , "sjackman@gmail.com", c("cre"))
person("Long", "Qu", role=c("aut", "cre"), email="long.qu@wright.edu")
c(
person("Jake", "Conway", email = "jake_conway@student.uml.edu", role = "cre"),
person("Nils", "Gehlenborg", email = "nils@hms.harvard.edu", role = "aut"))
c(person("Bernhard", "Pfaff", email =
"bernhard@pfaffikus.de", role = c("aut", "cre")),
person("Matthieu", "Stigler", role = "ctb"))
c(person("Lincoln", "Mullen", email = "lincoln@lincolnmullen.com",
role = c("aut", "cre")), person("Dr. William M. Scholl Center for American
History and Culture, The Newberry Library", role = c("cph")))
c(person(given="Neil J.", family="Gunther", role
= "aut"), person(given="Stefan", family="Moeding", role
= c("aut", "cre"), email = "stm@moeding.net"))
c(person("Juris", "Breidaks", email = "Juris.Breidaks@csb.gov.lv",
role = c("aut", "cre")), person("Martins", "Liberts", role = "aut"), person("Santa", "Ivanova", role = "aut"))
c(person("Bernhard", "Pfaff", email = "bernhard@pfaffikus.de", role = c("aut", "cre")), person("Matthieu", "Stigler", role = "ctb"))
c(person("Joris", "Muller", email = "joris.muller@etu.unistra.fr",
role = c("aut", "cre")),
person("Erik-André","Sauleau", role = c("ctb")))
c(person(given = "David", family = "Meyer", role = c("aut", "cre"), email = "David.Meyer@R-project.org"),
person(given = "Achim", family = "Zeileis", role = c("aut")),
person(given = "Kurt", family = "Hornik", role = c("aut")),
person(given = "Florian", family = "Gerber", role = c("ctb")),
person(given = "Michael", family = "Friendly", role = "ctb"))
c(person(given = "Michael", family = "Friendly", role=c("aut", "cre"), email="friendly@yorku.ca"),
person(given = "Heather", family = "Turner", role="ctb"),
person(given = "Achim", family = "Zeileis", role="ctb"),
person(given = "Duncan", family = "Murdoch", role="ctb"),
person(given = "David", family = "Firth", role="ctb")
)
c(
person("Reto", "Buergin", role = c("aut", "cre", "cph"), email = "rbuergin@gmx.ch"),
person("Gilbert", "Ritschard", role = c("ctb", "ths"),
email = "gilbert.ritschard@unige.ch"))
c(person("Pieter", "Schoonees", email = "schoonees@gmail.com",
role = c("aut", "cre", "cph")))
c(person("Jari", "Oksanen", role=c("aut","cre"),
email="jari.oksanen@oulu.fi"),
person("Roeland", "Kindt", role="aut"),
person(given=c("Gavin", "L."), family="Simpson", role="aut",
email="ucfagls@gmail.com"))
c(person("Andrew", "Sajo-Castelli", email="asajo@usb.ve", role = c("aut", "cre")), person("Desiree", "Villalta", role = "ctb"),person("Lelys", "Bravo", role = "ctb"))
c(person("Yasser", "Gonzalez-Fernandez",
role = c("aut", "cre"),
email = "ygonzalezfernandez@gmail.com"),
person("Marta", "Soto",
role = "aut",
email = "mrosa@icimaf.cu"))
c(
person(family = "Almende B.V.", role = c("aut", "cph"),
comment = "vis.js library in htmlwidgets/lib, http://visjs.org, http://www.almende.com/home"),
person("Benoit", "Thieurmel", role = c("aut", "cre"),
comment = "R interface", email = "bt@datak.fr")
)
c(person(given=c("Drew", "Griffin"), family="Levy",
role = "aut",
email = "levy.drew@gene.com"),
person(given=c("David", "C."), family="Norris",
role = c("aut","cre"),
email = "david@UnusualSolutionsThatWork.com"))
c(person("Robin", "Genuer", email = "Robin.Genuer@isped.u-bordeaux2.fr", role = c("aut", "cre")),
person("Jean-Michel", "Poggi", role = "aut"),
person("Christine", "Tuleau-Malot", role = "aut"))
c(person("Will", "Beasley", role = c("aut", "cre"), email =
"wibeasley@hotmail.com"), person("Joe", "Rodgers", role = "aut", email =
"joseph.l.rodgers@vanderbilt.edu"), person("Matthew", "Schuelke", role =
"ctb", email = "matthew.schuelke.ctr@us.af.mil"), person("Ronnie",
"Coleman", role = "ctb"), person("Mark Joseph", "Lachowicz", role =
"ctb", email = "mark.j.lachowicz@vanderbilt.edu"))
c(person("Guy", "Nason", role=c("aut", "cre"),
email="G.P.Nason@bristol.ac.uk"))
c(person("Thomas J.", "Leeper",
role = c("aut", "cre"),
email = "thosjleeper@gmail.com"))
person("Matthias", "Studer", email = "matthias.studer@unige.ch", role = c("aut", "cre"))
c(person("Karthik", "Ram", role = c("aut", "cre"),
email = "karthik.ram@gmail.com"),
person("Hadley", "Wickham", role = "aut",
email = "h.wickham@gmail.com"),
person("Clark", "Richards", role = "ctb",
email = "crichards@whoi.edu"))
c(person("Chris", "Wallace", role=c("aut","cre"),
email = "chris.wallace@cimr.cam.ac.uk"),
person("Olly","Burren", role="ctb",
email="oliver.burren@cimr.cam.ac.uk"))
c(	person("Ulrich", "Wittelsbuerger", role = c("aut", "cre"),email = "ulrich.wittelsbuerger@uni-duesseldorf.de"),
person("Heng", "Li", role = "ctb"),
person("Bob", "Handsaker", role = "ctb")			)
c(person("Avner", "Bar-Hen", role = c("aut", "cre"),
email = "Avner.Bar-Hen@mi.parisdescartes.fr"),
person("Louise", "Baschet", role = "ctb"),
person("Francois-Xavier", "Jollois", role = "ctb"),
person("Jeremie", "Riou", role = "ctb")
)
c(person("Ingo", "Feinerer", role = "aut"),
person("Kurt", "Hornik", role = c("aut", "cre"),
email = "Kurt.Hornik@R-project.org"),
person("Mike", "Wallace", role = c("ctb", "cph"),
comment = "Jawbone Java WordNet API library"))
person(given = "Michael", family = "Friendly", role=c("aut",
"cre"), email="friendly@yorku.ca")
as.person(c(
"Raphael Winkelmann <raphael@phonetik.uni-muenchen.de> [aut, cre]",
"Lasse Bombien <lasse@phonetik.uni-muenchen.de> [aut]",
"Michel Scheffers [aut]"))
c(person(given="Patrick", family="Mair", email="mair@fas.harvard.edu", role=c("cre","aut")),
person(given="Felix", family="Schoenbrodt", email="felix@nicebread.de", role=c("aut")),
person(given="Rand", family="Wilcox", email="rwilcox@usc.edu", role=c("aut")))
c(person("Graham", "Williams", email="graham.williams@togaware.com", role="aut"),
person("Joshua Z", "Huang", email="zx.huang@szu.edu.cn", role="aut"),
person("Xiaojun", "Chen", email="xjchen.hitsz@gmail.com", role="aut"),
person("Qiang", "Wang", role="aut"),
person("Longfei", "Xiao", role="aut"),
person("He", "Zhao", email="Simon.Yansen.Zhao@gmail.com", role="cre"))
c(person("Qinghan", "Meng", role="aut"),
person("He", "Zhao", email="Simon.Yansen.Zhao@gmail.com", role=c("aut", "cre")),
person("Graham", "Williams", email="graham.williams@togaware.com", role="aut"),
person("Junchao", "Lv", role="ctb"),
person("Baoxun", "Xu", role="aut"))
c(
person("John", "Malc", email = "cincenko@outlook.com", role = c("aut", "cre"), comment = "@dmpe")
)
c(person("Thomas", "Mendlik", role = c("aut", "cre"),
email = "thomas.mendlik@uni-graz.at"),
person("Georg", "Heinrich", role = c("aut"),
email = "g.heinrich@uni-graz.at"),
person("Armin", "Leuprecht", role = c("aut"),
email = "armin.leuprecht@uni-graz.at"),
person("Andreas", "Gobiet", role = c("ths"),
email = "andreas.gobiet@zamg.ac.at"))
c(person("Nicolas", "Turenne", role = "aut", email = "nturenne.inra@yahoo.fr"),
person("Tien T.","Phan", role = c("aut","cre"),  email = "phantien84@gmail.com"),
person("John", "Resig", role=c("ctb","cph"), comment = "the JavaScript file at inst/www/jquery-1.11.1.min.js"),
person("Jeroen", "Ooms", role= "ctb", comment = "the JavaScript file at inst/www/opencpu-0.5.js"))
c(person(given = "Philip", family = "Leifeld", email = "philip.leifeld@uni-konstanz.de", role = c("aut", "cre")), person(given = c("Skyler", "J."), family = "Cranmer", email = "cranmer.12@osu.edu", role = "aut"), person(given = c("Bruce", "A."), family = "Desmarais", email = "desmarais@polsci.umass.edu", role = "aut"))
c(person(given="Meik", family="Michalke",
email="meik.michalke@hhu.de", role=c("aut", "cre")))
c(person("Mirai Solutions GmbH", role = "aut",
email = "xlconnect@mirai-solutions.com"),
person("Martin", "Studer", role = "cre",
email = "martin.studer@mirai-solutions.com"),
person("The Apache Software Foundation", role = c("ctb", "cph"),
comment = "Apache POI, Apache Commons Codec"),
person("Stephen", "Colebourne", role = c("ctb", "cph"),
comment = "Joda-Time Java library"))
c(person("Mirai Solutions GmbH", role = "aut",
email = "xlconnect@mirai-solutions.com"),
person("Martin", "Studer", role = "cre",
email = "martin.studer@mirai-solutions.com"),
person("The Apache Software Foundation", role = c("ctb", "cph"),
comment = "Apache POI, Apache XMLBeans"))
c(person(c("Adrian", "A."), "Dragulescu",
role = c("aut", "cre"),
email = "adrian.dragulescu@gmail.com"),
person("The Apache Software Foundation",
role = c("ctb", "cph"),
comment = "Apache POI, Apache XMLBeans", "Apache
Commons Codec"),
person("MetaStuff, Ltd.",
role = c("ctb", "cph"),
comment = "Dom4j"))
c(
person("Xiaobei", "Zhao", email="xiaobei@binf.ku.dk",
role=c("aut", "cre", "cph"))
)
c(
person("Hadley", "Wickham", , "hadley@rstudio.com", c("aut", "cre")),
person("Jeroen", "Ooms", role = "ctb"),
person("RStudio", role = "cph"),
person("R Foundation", role = "ctb",
comment = "Copy of R-project homepage cached as example")
)
c(person("Andrew C.","Hooker",role=c("aut","cre","cph"),email="andrew.hooker@farmbio.uu.se"),
person("Mats O.","Karlsson",role=c("aut","cph")),
person("Justin J.","Wilkins",role="aut"),
person("E. Niclas","Jonsson",role=c("aut","trl","cph")),
person("Ron","Keizer",role="ctb",comment="functionality for bootstrap of GAM and SCM"))
c(person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
person(given = "Gabor", family = "Grothendieck", role = "aut", email = "ggrothendieck@gmail.com"),
person(given = c("Jeffrey", "A."), family = "Ryan", role = "aut", email = "jeff.a.ryan@gmail.com"),
person(given = "Felix", family = "Andrews", role = "ctb", email = "felix@nfrac.org"))
c(person("Philippe", "Grosjean", role = c("aut", "cre"),
email = "phgrosjean@sciviews.org"),
person("Kevin", "Denis", role = "aut",
email = "kevin.denis@umons.ac.be"))
c(person(given="Corentin M", family="Barbu",
email="corentin.barbu@gmail.com", role=c("aut", "cre")),
person(given="Sebastian", family="Gibb", role="ctb",
email="mail@sebastiangibb.de"))
Send an email for <jafioruci@gmail.com> with title
'bayesDccGarch Bug'
Wim Van der Elst <Wim.vanderelst@gmail.com>
'adaptive-gmrf-2covar.R' 'adaptive-gmrf.R'
'plot-weights-real.R' 'plot-weights-sim.R'
'sim-adaptive-gmrf-2covar.R' 'sim-adaptive-gmrf.R'
'sim-fmri-2covar.R' 'sim-fmri.R'
adegenet.package.R datasets.R orthobasis.R classes.R
constructors.R accessors.R basicMethods.R handling.R auxil.R
setAs.R SNPbin.R strataMethods.R hierarchyMethods.R glHandle.R
glFunctions.R glSim.R find.clust.R hybridize.R scale.R fstat.R
import.R seqTrack.R chooseCN.R genind2genpop.R loadingplot.R
sequences.R gstat.randtest.R makefreq.R colorplot.R monmonier.R
spca.R coords.monmonier.R haploGen.R old2new.R spca.rtests.R
dapc.R xvalDapc.R haploPop.R PCtest.R dist.genpop.R Hs.R
propShared.R export.R HWE.R propTyped.R inbreeding.R glPlot.R
gengraph.R simOutbreak.R mutations.R snpposi.R snpzip.R
pairDist.R servers.R zzz.R
adeGsenv.R parameter.R utils.R utilstriangle.R genericMethod.R
utilsclass.R panelfunctions.R ADEg.R ADEgS.R utilsADEgS.R
ADEg.C1.R C1.barchart.R C1.curve.R C1.density.R C1.gauss.R
C1.dotplot.R C1.hist.R C1.interval.R ADEg.S1.R S1.boxplot.R
S1.class.R S1.distri.R S1.label.R S1.match.R ADEg.S2.R
S2.arrow.R S2.class.R S2.corcircle.R S2.density.R S2.distri.R
S2.image.R S2.label.R S2.logo.R S2.match.R S2.traject.R
S2.value.R ADEg.T.R T.image.R T.value.R T.cont.R ADEg.Tr.R
Tr.class.R Tr.label.R Tr.match.R Tr.traject.R ade4-kplot.R
ade4-scatter.R ade4-plot.R s.hist.R multiplot.R s.Spatial.R
utilskey.R
utils.R partition.R table.phylo4d.R distances.R proximities.R
orthobasis.R ppca.R orthogram.R abouheif.R moran.R dibas.R
bullseye.R zzz.R
'MembershipFunction.R' 'MembershipFunction-show.R' 'BellMF.R'
'GaussianMF.R' 'NormalizedGaussianMF.R'
'MembershipFunction-evaluateMF.R' 'Anfis.R'
'Anfis-initialize.R' 'Anfis-getters.R' 'Anfis-printshow.R'
'Anfis-metrics.R' 'Anfis-package.R' 'Anfis-plotMF.R'
'Anfis-plot.R' 'Anfis-predict.R' 'Anfis-training.R'
'Anfis-trainSet.R' 'Anfis3-example.R'
'MembershipFunction-derivateMF.R' 'MembershipFunction-getset.R'
'MembershipFunction-print.R'
Antitrust.R Bertrand.R logit.R linear.R loglin.R logitALM.R
logitNests.R logitNestsALM.R logitCap.R ces.R cesNests.R aids.R
pcaids.R pcaidsNests.R cmcr.R upp.R hhi.R sim.R auction2ndcap.R
AllClasses.R AllGenerics.R access-methods.R coerce-methods.R
show-methods.R labels-methods.R length-methods.R revDend.R
heatmap-methods.R plot-methods.R cutree-methods.R
sort-methods.R aggExCluster-methods.R apcluster-methods.R
apclusterL-methods.R apclusterK-methods.R apclusterDemo.R
preferenceRange-methods.R similarity.R simpleDist.R
conversions.R
doc.R internal.R multidna.class.R multiphyDat.class.R show.R
multidna.constructor.R multiphyDat.constructor.R accessors.R
handling.R plot.R readfiles.R datasets.R dist.R getTree.R
exports.R
'editAPSIM.R' 'helperFns.R' 'runAPSIM.R' 'sensitivityAPSIM.R'
'visualize.R' 'emulateAPSIM.R'
'archetypes-barplot.R' 'generics.R' 'archetypes-class.R'
'archetypes-kit-blocks.R' 'archetypes-kit.R' 'archetypes-map.R'
'archetypes-movie.R' 'archetypes-panorama.R' 'pcplot.R'
'archetypes-pcplot.R' 'archetypes-robust.R'
'archetypes-screeplot.R' 'archetypes-step.R'
'archetypes-weighted.R' 'archetypes-xyplot.R' 'memento.R'
'simplex-pot.R' 'skeletonplot.R'
'arrayhelpers.R' 'apply.R' 'array2df.R' 'array2vec.R'
'colSums.R' 'countrows.R' 'delold.R' 'dropdimnames.R'
'ensuredim.R' 'groupsum.R' 'init.R' 'makeNd.R' 'ndim.R'
'numericindices.R' 'restoredim.R' 'rowsum.R' 'slice.R'
'stack.R' 'ta.R' 'validate.R'
'asciiAnova.r' 'asciiDataFrame.r' 'asciiDefault.r'
'asciiDensity.r' 'asciiDescr.r' 'asciiEpi.r' 'asciiGlm.r'
'asciiHmisc.r' 'asciiHtest.r' 'asciiList.r' 'asciiLm.r'
'asciiMatrix.r' 'asciiMemisc.r' 'asciiPrcomp.r'
'asciiSmoothSpline.r' 'asciiSummaryTable.r' 'asciiSurvival.r'
'asciiTable.r' 'asciiTs.r' 'asciiVector.r' 'cacheSweaveAscii.r'
'cbind.r' 'export.r' 'generic.r' 'groups.r' 'interleave.r'
'paste.matrix.r' 'plim.r' 'print.character.matrix.r'
'RweaveAscii.r' 'show.asciidoc.r' 'show.org.r' 'show.pandoc.r'
'show.r' 'show.rest.r' 'show.t2t.r' 'show.textile.r'
'SweaveAscii.r' 'tocharac.r' 'weaverAscii.r' 'zzz.r' 'print.r'
'are-same.R' 'assert-are-same.R' 'assert-has.R'
'assert-is-a-type.R' 'assert-is-atomic-recursive-vector.R'
'assert-is-binding.R' 'assert-is-connection.R'
'assert-is-empty-scalar.R' 'assert-is-file.R'
'assert-is-in-range.R' 'assert-is-infinity-nan.R'
'assert-is-null.R' 'assert-is-other.R'
'assert-is-real-imaginary.R' 'assert-is-reflection.R'
'assert-is-set.R' 'assert-is-string-uk.R'
'assert-is-string-us.R' 'assert-is-string.R' 'assert-is-time.R'
'assert-is-type.R' 'assert-r-has-capability.R'
'assertive-package.R' 'has.R' 'imports.R'
'internal-connection.R' 'internal-string.R' 'is-a-type.R'
'is-atomic-recursive-vector.R' 'is-binding.R' 'is-connection.R'
'is-empty-scalar.R' 'is-file.R' 'is-in-range.R'
'is-infinity-nan.R' 'is-null.R' 'is-other.R'
'is-real-imaginary.R' 'is-reflection.R' 'is-set.R'
'is-string-uk.R' 'is-string-us.R' 'is-string.R' 'is-time.R'
'is-type.R' 'locale.R' 'r-has-capability.R' 'zzz.R'
'assert-that.r' 'on-failure.r' 'assertions-file.r'
'assertions-scalar.R' 'assertions.r' 'base.r'
'base-comparison.r' 'base-is.r' 'base-logical.r' 'base-misc.r'
'utils.r' 'validate-that.R'
'AssociationTestWithCorrectPS.R' 'CalculateGapK.R'
'CalculateWAll.R' 'CalExpect.R' 'ChangeX.R' 'CorrMatNRTest.R'
'DR_main.R' 'EigenStrat_main.R' 'FindCNumRandom.R'
'MAX3_main.R' 'MAX3Sign.R' 'MDS.R' 'PCoC_main.R'
'ModifyNormalization.R' 'NMAX3_main.R' 'NPT_main.R'
'RhombusFormula.R' 'ScoreTest.R' 'SimilarityMatrix.R'
'SMT_main.R' 'Str2Num.R' 'TrendTest.R' 'TW_main.R'
'UniformSample.R' 'UniformTest.R' 'WaldTest.R'
'ASCORE.Ord.R' 'ASCORE.R' 'ASSU.Ord.R' 'ASSU.R' 'ASSUW.Ord.R'
'ASSUW.R' 'ASUM.Ord.R' 'ASUM.R' 'AssotesteR-internal.R' 'BST.R'
'CALPHA.R' 'CARV.R' 'CAST.R' 'CMAT.R' 'CMC.R' 'GDBR.R'
'MULTI.R' 'ORWSS.R' 'RARECOVER.R' 'RBT.R' 'RVT1.R' 'RVT2.R'
'RWAS.R' 'SCORE.R' 'SEQSUM.R' 'SKAT.R' 'SSU.R' 'SSUW.R' 'SUM.R'
'TTEST.R' 'UMINP.R' 'VT.R' 'WSS.R' 'WST.R' 'gdbr_IBS.R'
'gdbr_wIBS.R' 'kernel_IBS.R' 'kernel_twowayx.R' 'kernel_wIBS.R'
'my_check.R' 'print.assoctest.R'
'RcppExports.R' 'bayou-utilities.R' 'probability.R'
'bayou-weight_matrix.R' 'bayou-moves.R' 'bayou-likelihood.R'
'bayou-prior.R' 'conversion-utilities.R'
'bayou-mcmc-utilities.R' 'bayou-mcmc.R' 'bayou-plotting.R'
'bayou-simulation.r' 'bayou-steppingstone.R' 'bayou-package.R'
'mle2-class.R' 'mle2-methods.R' 'mle.R' 'confint.R'
'predict.R' 'profile.R' 'update.R' 'dists.R' 'IC.R' 'slice.R'
BoundedDensity.R KernelDensity.R Chen99Kernel.R
MicroBetaChen99Kernel.R MacroBetaChen99Kernel.R
BoundaryKernel.R NoBoundaryKernel.R NormalizedBoundaryKernel.R
Muller91BoundaryKernel.R
JonesCorrectionMuller91BoundaryKernel.R
Muller94BoundaryKernel.R
JonesCorrectionMuller94BoundaryKernel.R BernsteinPolynomials.R
Vitale.R BrVitale.R KakizawaB1.R KakizawaB2.R KakizawaB3.R
HirukawaJLNKernel.R HirukawaTSKernel.R
MacroBetaHirukawaJLNKernel.R MacroBetaHirukawaTSKernel.R
utils.R bde.R
bdsmatrix.R gchol.R gchol.bdsmatrix.R as.matrix.bdsmatrix.R
bdsBlock.R bdsI.R bdsmatrix.ibd.R bdsmatrix.reconcile.R
diag.bdsmatrix.R listbdsmatrix.R multiply.bdsmatrix.R
solve.bdsmatrix.R solve.gchol.R solve.gchol.bdsmatrix.R
backsolve.R
'algperf-beplot0.R' 'testprocedure.R' 'proto.R'
'algperf-paircomp.R' 'algperf-preference.R'
'algperf-visualizations.R' 'warehouse.R' 'algperf.R'
'as.psychobench.R' 'as.warehouse.R' 'benchmark.R' 'bsgraph.R'
'bsplot.R' 'datachar-visualizations.R'
'dataset-characteristics.R' 'dataset.R'
'dataset-characterization.R' 'testres-analysis.R'
'testres-visualizations.R'
'bfa-package.R' 'main.R' 'bfa_copula.R' 'bfa_gauss.R'
'bfa_mixed.R' 'class.R' 'get_coda.R' 'plots.R' 'rng.R'
'postproc.R' 'ratings08.R' 'wrappers.R'
'auxil.R' 'bigGP.R' 'collectDistribute.R'
'distributedComputation.R' 'krigeProblem.R'
'bigml-internal.R' 'formEncodeURL.R' 'bigml-package.R'
'createDataset.R' 'createModel.R' 'createPrediction.R'
'createSource.R' 'getDataset.R' 'getModel.R' 'getPrediction.R'
'getSource.R' 'listDatasets.R' 'listModels.R' 'listSources.R'
'quickDataset.R' 'quickModel.R' 'quickPrediction.R'
'quickSource.R' 'setCredentials.R' 'deleteResource.R'
'allClasses.R' 'allPackage.R' 'IO-methods.R' 'BIOM-class.R'
'validity-methods.R'
'Rcoclust.R' 'Strategy.R' 'summary.R' 'plot.R'
'optionclasses.R' 'onattach.R' 'cocluster.R'
'as.blockmatrix.matrix.R' 'as.matrix.blockmatrix.R'
'blockmatrix.R' 'dim.blockmatrix.R' 'is.zero.blockmatrix.R'
'length.blockmatrix.R' 'matmult.blockmatrix.R'
'methods.blockmatrix.R' 'names.blockmatrix.R'
'ncol.blockmatrix.R' 'ncol_elements.blockmatrix.R'
'nrow.blockmatrix.R' 'nrow_elements.blockmatrix.R'
'solve.blockmatrix.R' 't.blockmatrix.R' 'value.blockmatrix.R'
'value.replacement.blockmatrix.R' 'zbracket[.blockmatrix.R'
'zbracket[.replacement.blockmatrix.R'
'bmkconverge.R' 'bmk.R' 'bmksensitive.R' 'bmksummary.R'
'HBconverg1.R' 'HDistNoSize.R' 'HDistSize.R' 'HWconverg1.R'
'beq.lin.dimensionless.R' 'beq.lin.R'
'beq.song.dimensionless.R' 'beq.song.R' 'boussinesq-package.R'
'coefficient.song.solution.R'
'makeScene.R' 'write4D.file.R' 'write4D.R'
'writeWebGL_split.R' 'brainR-package.R' 'scene4d.R'
'writeTrianglesSTL.R'
'bgbb.R' 'bgnbd.R' 'pnbd.R' 'dc.R' 'spend.R'
'catenary.R' 'package.R' 'fittedCatenary.R' 'getCatLength.R'
'minmaxLength.R' 'fitCatEndPts.R' 'f.R'
'getFunctionEnvelopeCat.R' 'getFunctionEnvelopePara.R'
'fitCat.R' 'fitMaxCat.R' 'fitNaturalCat.R' 'ctesiphon.R'
catnet.class.R catnet.def.R graph2catnet.R catnet.dags.R
catnet.probs.R catnet.joint.prob.R catnet.marginal.prob.R
catnet.samples.R catnet.loglik.R catnet.entropy.R
catnet.categor.R catnet.dist.R catnet.plot.R catnet.find.R
catnet.search.R catnet.predict.R catnet.chisq.R catnet.histo.R
catnet.cluster.R catnet.bif.R catnet.quant.R catnet.pathway.R
zzz.R
'cdcov.R' 'cdcor.R' 'cdcor.ada.R' 'bw.R' 'cdcsis.R'
'package.R' 'datasets.R' 'methods.R' 'demos.R' 'dev.lib.R'
'support.lib.R' 'spline.lib.R' 'ChemosensorsClass.R'
'ChemosensorsClassMethods.R' 'conc.lib.R' 'sdata.lib.R'
'plot.lib.R' 'SensorDataModelClassMethods.R'
'ConcNoiseModelClass.R' 'ConcNoiseModelClassMethods.R'
'DriftCommonModelClassMethods.R' 'DriftNoiseModelClass.R'
'DriftNoiseModelClassMethods.R' 'ScenarioClass.R'
'ScenarioClassMethods.R' 'SensorDynamicsClass.R'
'SensorDynamicsClassMethods.R' 'SensorModelClass.R'
'SensorModelClassMethods.R' 'SensorNoiseModelClass.R'
'SensorNoiseModelClassMethods.R' 'SorptionModelClass.R'
'SorptionModelClassMethods.R' 'SensorArrayClass.R'
'SensorArrayClassMethods.R' 'affinity.lib.R'
closed.R shortcuts.R Meinshausen.R regionmethod.R DAGmethod.R
DAGstructure.R structuredHolm.R
'acs.R' 'choropleth.R' 'admin1.R' 'choroplethr_animate.R'
'choroplethr_wdi.R' 'country.R' 'usa.R' 'county.R'
'county_zoom.R' 'data.R' 'deprecated.R'
'get_county_demographics.R' 'get_state_demograhpics.R'
'state.R'
'bugs.R' 'classify.R' 'gpcm.rc.R' 'prob_functions.R'
'scores.R' 'w_lord.R'
'dataFrame.R' 'cfStation.R' 'cfData.R' 'cfDataList.R'
'cfData-plotMethods.R' 'cfDatatype.R' 'cfQuery.R' 'cfUser.R'
'findStations.R'
generics.R clp_ptrClass.R clp.R clpAPI.R zzz.R
'similarity.r' 'sim_normal.r' 'sim_unif.r' 'sim_student.r'
'clustomit.r' 'sim_data.r' 'helper-boot.r' 'clusteval.r'
'random_clustering.r' 'comembership.r'
'MCAk.r' 'disjMake.r' 'fuzzyMCAk.r' 'groupals.r' 'iFCB.r'
'FactorialKM.r' 'ReducedKM.r' 'plotrd.r' 'ed.r' 'nrm.r'
'orth.r' 'rosplit.r'
'RcppExports.R' 'cache.R' 'coala.R' 'feature.R'
'feature_growth.R' 'feature_migration.R' 'feature_mutation.R'
'feature_outgroup.R' 'feature_pop_merge.R'
'feature_recombination.R' 'feature_sample.R'
'feature_selection.R' 'feature_size_change.R'
'feature_sumstats.R' 'feature_unphased.R' 'locus.R' 'model.R'
'model_build.R' 'model_check.R' 'model_examples.R'
'model_getters.R' 'model_print.R' 'model_scale.R'
'model_simulate.R' 'onLoad.R' 'par_zero_inflation.R'
'parameter.R' 'parameter_prior.R' 'parameter_variation.R'
'sample_seed.R' 'search_executable.R' 'simulator_class.R'
'simulator_ms.R' 'simulator_msms.R' 'simulator_scrm.R'
'simulator_seqgen.R' 'sumstat.R' 'sumstat_dna.R'
'sumstat_file.R' 'sumstat_four_gamete.R' 'sumstat_ihh.R'
'sumstat_jsfs.R' 'sumstat_nsl.R' 'sumstat_nucleotide_div.R'
'sumstat_omegaprime.R' 'sumstat_seg_sites.R' 'sumstat_sfs.R'
'sumstat_tajimas_d.R' 'sumstat_trees.R' 'tempfile.R'
'CFR_estimation.R' 'dic.fit.mcmc.R' 'dic.fit.R'
'get.obs.type.R' 'S4stuff.R' 'sampleSizeSimulation.R'
'coarseDataTools-package.R'
'0helper.r' 'as.htest.r' 'cocor-package.R'
'cocor.dep.groups.nonoverlap.r' 'cocor.dep.groups.overlap.r'
'cocor.indep.groups.r' 'cocor.r' 'get.cocor.input.r'
'get.cocor.results.r'
'cocron.n.coefficients.r' 'cocron-package.R' 'cocron.r'
'cocron.two.coefficients.r' 'cronbach.alpha.CI.r'
'cronbach.alpha.r' 'helper.r'
'coefplot.r' 'coefplot-package.r' 'multiplot.r'
'extractCoef.r' 'buildPlottingFrame.r' 'buildPlot.r'
'dodging.r' 'coefPredMatching.r'
'AllClasses.R' 'bma.R' 'coloc-package.R' 'coloc.combine.R'
'coloc.test.R' 'pcs.R' 'private.R' 'claudia.R'
'adjacent.R' 'anagrams.R' 'analogous.R' 'col2HSV.R'
'complementary.R' 'opposite.R' 'pals.R' 'pizza.R'
'sequential.R' 'setColors.R' 'splitComp.R' 'square.R'
'tetradic.R' 'triadic.R' 'wheel.R'
'eplot.R' 'addxaxis.R' 'compactr-package.R' 'mm.R' 'aplot.R'
'ConnMatTools.R' 'eigs.R' 'Jacobi_EPT_reserve_selection.R'
'datasets.R' 'dpr_model.R' 'retentionStats.R'
'jacobi_etal_2012.R'
AllClass.R Classes.R Copula.R Auxiliaries.R aux-acopula.R
special-func.R cop_objects.R nacopula.R derCdfPdf.R amhCopula.R
amhExpr.R An.R archmCopula.R asymCopula.R asymExplicitCopula.R
claytonCopula.R claytonExpr.R ellipCopula.R empcop.R empPsi.R
acR.R estimation.R evCopula.R evTests.R exchTests.R fgmCopula.R
fitCopula.R fitMvdc.R frankCopula.R frankExpr.R
galambosCopula.R galambosExpr-math.R galambosExpr.R
ggraph-tools.R pairsRosenblatt.R device.R gofTrafos.R
gofEVTests.R gofTests.R graphics.R gumbelCopula.R gumbelExpr.R
huslerReissCopula.R huslerReissExpr.R indepCopula.R
indepTests.R joeCopula.R K.R logseries.R mvdc.R normalCopula.R
plackettCopula.R plackettExpr.R rstable1.R safeUroot.R
schlatherCopula.R stable.R timing.R trafos.R tCopula.R
tawnCopula.R tawnExpr.R tevCopula.R wrapper.R zzz.R
EDA.R edaSeed.R edaSelect.R edaOptimize.R edaReport.R
edaReplace.R edaTerminate.R edaRun.R margins.R problems.R
edaIndepRuns.R edaCriticalPopSize.R CEDA.R VEDA.R
'add_sub.R' 'cowplot.R' 'draw.R' 'gtable.R' 'plot_grid.R'
'save.R' 'setup.R' 'switch_axis.R' 'themes.R'
generics.R cplexConst.R cplexErrorClass.R cplexPtrClass.R
cplex.R cplexAPI.R cplex_checkAPI.R cplex_longparamAPI.R zzz.R
'AllMethod.R' 'crawl-internal.R' 'crawl-package.R' 'crwMLE.R'
'crwN2ll.R' 'crwPostIS.R' 'crwPredict.R' 'crwPredictPlot.R'
'crwSamplePar.R' 'crwSimulator.R' 'crwUseGrid.R' 'expandPred.R'
'fillCols.R' 'getQ.R' 'intToPOSIX.R' 'logSpeed.R'
'mergeTrackStop.R' 'aic.crw.R' 'displayPar.R'
'ansi-256.r' 'combine.r' 'utils.r' 'string.r'
'crayon-package.r' 'disposable.r' 'has_ansi.r' 'has_color.r'
'styles.r' 'machinery.r' 'parts.r' 'print.r' 'style-var.r'
'show.r' 'string_operations.r'
'classes.R' 'crmn-package.R' 'norm.R' 'misc.R' 'generic.R'
'ami.R' 'CTcrqa.R' 'calcphi.R' 'checkts.R' 'crqa.R'
'drpdfromts.R' 'lorenzattractor.R' 'optimizeParam.R'
'runcrqa.R' 'simts.R' 'spdiags.R' 'takephi.R' 'theiler.R'
'tt.R' 'wincrqa.R' 'windowdrp.R'
'csfit.R' 'csSAM-package.R' 'csSAM.R' 'csSamWrapper.R'
'fdrCsSAM.R' 'fdrSAM.R' 'findSigGene.R' 'make.monotone.R'
'plotCsSAM.R' 'runSAM.R' 'ttest.func.R' 'varr.R'
'accessors.R' 'aggregate.R' 'bwplot.R' 'cost.R' 'cvFit.R'
'cvFolds.R' 'cvReshape.R' 'cvSelect.R' 'cvTool.R' 'cvTuning.R'
'densityplot.R' 'dotplot.R' 'plot.R' 'print.R' 'repCV.R'
'selectBest.R' 'subset.R' 'summary.R' 'utils.R' 'xyplot.R'
'net.R' 'darch.R' 'backpropagation.R' 'darch.Add.R'
'darch.Getter.R' 'darch.Learn.R' 'darch.Remove.R'
'darch.Reset.R' 'darch.Setter.R' 'darchUnitFunctions.R'
'errorFunctions.R' 'rbm.R' 'generateRBMs.R' 'generateWeights.R'
'loadDArch.R' 'loadRBM.R' 'loadRBMFFWeights.R'
'makeStartEndPoints.R' 'minimize.R' 'minimizeAutoencoder.R'
'minimizeClassifier.R' 'net.Getter.R' 'net.Setter.R'
'newDArch.R' 'rbm.Setter.R' 'rbm.Reset.R' 'newRBM.R'
'package-darch.R' 'rbm.Getter.R' 'rbm.Learn.R'
'rbmUnitFunctions.R' 'rbmUpdate.R' 'readMNIST.R'
'rpropagation.R' 'runDArch.R' 'saveDArch.R' 'saveRBM.R'
'saveRBMFFWeights.R'
avelinkdis.R centdis.R distable.R randdis.R valuep.R
functionall.R
'DBObject.R' 'DBConnection.R' 'DBDriver.R' 'DBResult.R'
'compliance.R' 'keywords.R' 'quote.R' 'util.R'
'ClassMethod-dcGOR.r' 'dcDAGannotate.r' 'dcRDataLoader.r'
'dcEnrichment.r' 'visEnrichment.r' 'dcDAGdomainSim.r'
'dcRWRpipeline.r' 'dcConverter.r' 'dcBuildInfoDataFrame.r'
'dcBuildAnno.r' 'dcBuildOnto.r' 'dcAlgoPropagate.r'
'dcAlgoPredict.r' 'dcAlgoPredictMain.r' 'dcAlgoPredictGenome.r'
'dcAncestralML.r' 'dcAncestralMP.r' 'dcSubtreeClade.r'
'dcSubtreeTips.r' 'dcTreeConnectivity.r' 'dcDuplicated.r'
'dcSplitArch.r' 'dcAlgo.r' 'dcFunArgs.r' 'dcSparseMatrix.r'
'dcList2Matrix.r' 'dcAlgoPredictPR.r' 'dcSupraBetter.r'
'dcRWRpredict.r' 'dcNaivePredict.r'
addarrows.R autosearch.R conditional.R cycletest.R
drawnetwork.R findex.R generic.R genlatex.R heuristic.R
inspectprob.R jointcont.R jointdisc.R jointprior.R learning.R
makesimprob.R fullsimprob.R maketrylist.R master.R network.R
networkfamily.R node.R numbermixed.R perturb.R postc.R postc0.R
postdist.R readnet.R rnetwork.R savenet.R unique.R
'rmvnorm90ci_exact.R' 'rdistq_fit.R' 'random.R'
'paramtnormci_numeric.R' 'paramtnormci_fit.R' 'rtnorm90ci.R'
'rdist90ci_exact.R' 'estimate1d.R' 'estimate.R'
'mcSimulation.R' 'welfareDecisionAnalysis.R' 'eviSimulation.R'
'individualEvpiSimulation.R' 'estimate_read_csv_old.R'
'decisionSupport.R' 'decisionSupport-package.R'
'plainNames2data.frameNames.R' 'plsr.mcSimulation.R'
'AllClasses.R' 'AllGenerics.R' 'Constructors.R'
'DEMICel-methods.R' 'DEMIClust-methods.R' 'DEMIDiff-methods.R'
'DEMIExperiment-methods.R' 'DEMIGroup-methods.R'
'DEMIResult-methods.R' 'cluster-methods.R' 'custom-methods.R'
'cytoband-methods.R' 'diffexp-methods.R' 'messages.R'
'normalization-methods.R' 'other-methods.R' 'zzz.R'
'axis-geom.r' 'axis-grob.r' 'data.r'
'DescribeDisplay-package.r' 'ggplot-barchart.r'
'ggplot-parcoords.r' 'ggplot-scatmat.r' 'ggplot-timeseries.r'
'ggplot.r' 'plots.r' 'utils.r'
'conversions.R' 'dielectric.r' 'plot.r' 'zzz.r' 'drude.r'
'metals.r'
'GetSampleFromDataFrame.R' 'RelationStrengthSimilarity.R'
'ScalablePCA.R' 'GetSampleFromFile.R' 'GetSampleFromDb.R'
'RssCell.R' 'RssThisRadius.R' 'EdgelistFill.R'
'EdgelistFromAdjacency.R' 'EdgelistFromIgraph.R'
'GenerateDilsNetwork.R' 'MergeEdgelists.R'
'AdjacencyFromEdgelist.R' 'IgraphFromEdgelist.R'
'MeasureNetworkInformation.R' 'RssSuggestedNetwork.R'
'RelativeNetworkInformation.R'
utility.function.R compare.R dotplot.R lineplot.R
densityplot.R ggplot2.R positioning.functions.R doc.R lattice.R
scatterplot.R contourplot.R
'DiscriMiner-package.R' 'FRatio.R' 'betweenCov.R'
'betweenSS.R' 'binarize.R' 'classify.R' 'corRatio.R' 'desDA.R'
'discPower.R' 'disqual.R' 'easyMCA.R' 'geoDA.R' 'getWithin.R'
'groupMeans.R' 'groupMedians.R' 'groupQuants.R' 'groupStds.R'
'groupVars.R' 'linDA.R' 'my_betweenCov.R' 'my_catDA.R'
'my_discFunctions.R' 'my_geoDA.R' 'my_groupMeans.R'
'my_linDA.R' 'my_mca.R' 'my_plsDA.R' 'my_quaDA.R' 'my_tdc.R'
'my_verify.R' 'my_withinCov.R' 'plot.plsda.R' 'print.desda.R'
'print.disqual.R' 'print.geoda.R' 'print.linda.R'
'print.plsda.R' 'print.quada.R' 'print.qualmca.R' 'quaDA.R'
'totalCov.R' 'totalSS.R' 'withinCov.R' 'withinSS.R'
'my_plsDA_old.R' 'plsDA_old.R' 'plsDA.R'
AllClass.R AllGenerics.R AllMethod.R austFilter.R bouts.R
calibrate.R detDive.R detPhase.R distSpeed.R diveStats.R
oneDiveStats.R plotTDR.R plotZOC.R readLocs.R readTDR.R
speedStats.R stampDive.R zoc.R zzz.R
'calc.genoprob2.R' 'calcpos.R' 'cintern.R' 'dlcross.cross.R'
'dlcross.dlmap.R' 'dlcross.other.R' 'dlcross.R' 'dldetect.R'
'dllocalize.R' 'dlmap.R' 'dlmapdet.R' 'dlmaploc.R' 'dltest.R'
'ngen.dlcross.R' 'ngen.dlmap.R' 'ngen.R' 'nmrk.dlcross.R'
'nmrk.dlmap.R' 'nmrk.R' 'nphen.dlcross.R' 'nphen.dlmap.R'
'nphen.R' 'plot.dlcross.R' 'plot.dlmap.R' 'print.dlcross.R'
'print.dlmap.R' 'profileplot.dlmap.R' 'profileplot.R' 'pvfx.R'
'qchibar.R' 'summary.dlcross.R' 'summary.dlmap.R'
'waldtest.asreml.R' 'waldtest.R'
AllClasses.R AllGenerics.R DependencyModel-accessors.R
dependency.score.R fit.dependency.model.R toydata.R internals.R
show-methods.R utilities.R set.M.R set.beta.R get.W.R
firstlib.R drcca-functions.R optimize.parameters.R update.phi.R
update.W.R z.expectation.R
'dGSEA.r' 'dGSEAview.r' 'dGSEAwrite.r' 'visGSEA.r'
'dPvalAggregate.r' 'dNetInduce.r' 'dBUMfit.r' 'dBUMscore.r'
'dNetFind.r' 'dNetPipeline.r' 'dNetConfidence.r' 'visNet.r'
'visNetMul.r' 'visNetAnimate.r' 'visNetReorder.r'
'dNetReorder.r' 'visNetArc.r' 'visNetCircle.r' 'dRWR.r'
'dRWRcontact.r' 'dRWRpipeline.r' 'dContrast.r' 'dCommSignif.r'
'dSVDsignif.r' 'dFDRscore.r' 'dDAGinduce.r' 'dDAGreverse.r'
'dDAGroot.r' 'dDAGtip.r' 'dDAGlevel.r' 'dDAGannotate.r'
'dDAGancestor.r' 'dDAGtermSim.r' 'dDAGgeneSim.r' 'visDAG.r'
'dEnricher.r' 'dEnricherView.r' 'visBoxplotAdv.r'
'dRDataLoader.r' 'dCheckParallel.r' 'dFunArgs.r'
'T.R' 'capply.R' 'collect.R' 'compose.R' 'consecutive.R'
'dostats.R' 'wargs.R' 'onarg.R' 'pval.R' 'utils.R'
'AUCtest.R' 'adpcr-class.R' 'adpcr2ppp.R' 'binarize.R'
'ddpcr-class.R' 'bind_dpcr.R' 'bioamp.R' 'calc_breaks.R'
'calc_lambda.R' 'compare_dens.R' 'count_test-class.R'
'create_dpcr.R' 'dpcR-package.R' 'dpcr_calculator.R'
'dpcr_density.R' 'dpcr_density_gui.R' 'extract_dpcr.R'
'fit_adpcr.R' 'fl.R' 'get_k_n.R' 'limit_cq.R' 'many_peaks.R'
'modlist.R' 'moments.R' 'num2int.R' 'pds.R' 'pds_raw.R'
'plot_distr.R' 'plot_panel.R' 'plot_vf_circ.R' 'plot_vic_fam.R'
'print_summary.R' 'qpcr_analyser.R' 'qpcrpp.R' 'rtadpcr.R'
'safe_efficiency.R' 'show_dpcr.R' 'sim_adpcr.R' 'sim_ddpcr.R'
'sim_ddpcr_bkm.R' 'simulations.R' 'summary_dpcr.R'
'test_counts.R' 'test_counts_gui.R' 'test_panel.R'
'test_peaks.R' 'test_ratio.R' 'valid_amp.R' 'y_val_conf.R'
'RcppExports.R' 'all-equal.r' 'bench-compare.r' 'chain.r'
'cluster.R' 'colwise.R' 'compute-collect.r' 'copy-to.r'
'data-lahman.r' 'data-nasa.r' 'data-nycflights13.r'
'data-temp.r' 'data.r' 'dataframe.R' 'dbi-s3.r' 'desc.r'
'distinct.R' 'do.r' 'dplyr.r' 'explain.r' 'failwith.r' 'funs.R'
'glimpse.R' 'group-by.r' 'group-indices.R' 'group-size.r'
'grouped-df.r' 'grouped-dt.r' 'id.r' 'inline.r' 'join.r'
'lead-lag.R' 'location.R' 'manip.r' 'nth-value.R' 'order-by.R'
'over.R' 'partial-eval.r' 'progress.R' 'query.r' 'rank.R'
'rbind.r' 'rowwise.r' 'sample.R' 'select-utils.R'
'select-vars.R' 'sets.r' 'sql-escape.r' 'sql-star.r'
'src-local.r' 'src-mysql.r' 'src-postgres.r' 'src-sql.r'
'src-sqlite.r' 'src.r' 'tally.R' 'tbl-cube.r' 'tbl-df.r'
'tbl-dt.r' 'tbl-sql.r' 'tbl.r' 'top-n.R'
'translate-sql-helpers.r' 'translate-sql-base.r'
'translate-sql-window.r' 'translate-sql.r' 'type-sum.r'
'utils-dt.R' 'utils-format.r' 'utils.r' 'view.r' 'zzz.r'
'bartlett.r' 'chisquare.r' 'dosefactor.r' 'DRdata.R'
'dunnetts1.r' 'dunnetts2.r' 'dunnettst3.r' 'dunns1.r'
'dunns2.r' 'jonckheere.r' 'lbcd.r' 'nlaad.r' 'nlbcd.r'
'outlier.r' 'pkg_prep.r' 'prelimstats.r' 'segment.r'
'shapiro.r' 'firstDeriv.r' 'noel.r' 'dunnetts.format.r'
'dunns.format.r' 'drsmooth.print.r' 'segment.plot.r'
'segment.print.r' 'spline.plot.r' 'drsmooth-package.R'
'smooth.r'
'generic.functions.R' 'Region.R' 'Density.R' 'Detectability.R'
'Population.Description.R' 'Population.R' 'Line.Transect.R'
'DDF.Data.R' 'Single.Obs.DDF.Data.R' 'DDF.Analysis.R'
'DS.Analysis.R' 'DSM.Analysis.R' 'Survey.Design.R'
'LT.Design.R' 'PT.Design.R' 'LT.Systematic.Design.R'
'LT.Random.Design.R' 'LT.EqSpace.ZZ.Design.R'
'LT.EqAngle.ZZ.Design.R' 'LT.User.Specified.Design.R'
'Survey.R' 'LT.Survey.R' 'Single.Obs.LT.Survey.R'
'Region.Table.R' 'Sample.Table.R' 'Obs.Table.R'
'LT.Survey.Results.R' 'Simulation.R' 'Simulation.Summary.R'
'Class.Constructors.R' 'simulate.detections.R'
'rename.duplicates.R' 'coords.from.shapefile.R' 'is.gap.R'
'store.ddf.results.R' 'store.dht.results.R'
'add.summary.results.R' 'get.surface.constant.R'
'get.ave.density.R' 'get.surface.gam.R' 'generate.pop.D.R'
'generate.pop.N.R' 'calc.area.R' 'get.bound.box.R'
'get.shapefile.names.R' 'get.sampler.info.R'
'single.simulation.loop.R' 'accumulate.PP.results.R'
'add.dist.error.R' 'create.bins.R' 'calc.poss.detect.dists.R'
'check.intersection.R' 'hn.detect.R' 'hr.detect.R'
'in.polygons.R' 'check.shapefile.R' 'description.summary.R'
'bca.R' 'belplau.R' 'combmasses.R' 'dempster.R' 'dotprod.R'
'doubles.R' 'dsrwon.R' 'dstCombListfacts.R'
'dstCombListfacts2.R' 'identRow.R' 'initsing.R' 'inters.R'
'nzdsr.R' 'plautrans.R' 'probCombListfacts.R' 'rplau.R'
'smppmexample.R' 'tabresul.R' 'tabresulSingl.R'
clsEqcReader4.r clsRCD7.r clsGWADATA45.r clsEASYMERGE.r
fnEasyPLOT10.r clsREPORT9.r clsMERGE11.r clsSPLOT21.r
clsADDCOL11.r clsADJUSTALLELES15.r clsANNOTATE8.r
clsBONFERRONI3.r clsCALCPDIFF6.r clsCALCPHET3.r clsCALCULATE3.r
clsCLEAN5.r clsCLUMP5.r clsCRITERION6.r clsEDITCOL.r
clsEVALSTAT7.r clsEXTRACTSNPS3.r clsFDR3.r clsFILTER6.r
clsGC5.r clsGETCOLS.r clsGETNUM2.r clsINDEP7.r clsJOINTTEST3.r
clsMERGEEASYIN4.r clsMETAANALYSIS5.r clsMHPLOT15.r
clsMIAMIPLOT15.r clsQQPLOT17.r clsREMOVECOL.r clsRENAMECOL2.r
clsRPLOT18.r clsSTRSPLITCOL.r clsWRITE7.r EasyX86.r
'forecastData.R' 'calibrateEnsemble.R' 'fDatFitLogit.R'
'fDatFitNormal.R' 'compareModels.R' 'document-data.R'
'summary.R' 'fitEnsembleLogit.R' 'fitEnsembleNormal.R'
'makeForecastData.R' 'plot.R'
'ZZZ.R' 'auxiliar.R' 'int.genind.R' 'ecogen.1OF5.definition.R'
'ecogen.2OF5.constructor.R' 'ecogen.3OF5.basic.methods.R'
'ecogen.4OF5.brackets.R' 'ecogen.5OF5.get&set.R' 'accesors.R'
'classes.R' 'control.R' 'deprecated.R' 'eco.2geneland.R'
'eco.2genepop.R' 'eco.2gstudio.R' 'eco.2hierfstat.R'
'eco.2spagedi.R' 'eco.NDVI.R' 'eco.NDVI.post.R' 'eco.alfreq.R'
'eco.association.R' 'eco.cbind.R' 'eco.clear.R' 'eco.convert.R'
'eco.cormantel.R' 'eco.correlog.R' 'eco.detrend.R'
'eco.forestplot.R' 'eco.format.R' 'eco.genepop2df.R'
'eco.gsa.R' 'eco.kin.loiselle.R' 'eco.lagweight.R'
'eco.lmtree.R' 'eco.lsa.R' 'eco.malecot.R' 'eco.mantel.R'
'eco.merge.R' 'eco.order.R' 'eco.pairtest.R'
'eco.post.geneland.R' 'eco.rankplot.R' 'eco.rbind.R'
'eco.remove.R' 'eco.subset.R' 'eco.theilsen.R'
'eco.variogram.R' 'eco.weight.R' 'int.break.R' 'int.convert.R'
'int.crosscor.R' 'int.geary.R' 'int.jackknife.R'
'int.joincount.R' 'int.kin.loiselle.R' 'int.mantel.R'
'int.moran.R' 'int.multitable.R' 'int.random.test.R'
'miscellaneous.R' 'plot.methods.R' 'show_summary.methods.R'
'ACF.R' 'edmr.R' 'eDMR.sub.R' 'get.dist.cutoff.R' 'getDMR.R'
'getPeaks.R' 'helpers.R' 'myDiff.to.mixmdl.R' 'myDiffToDMR.R'
'plotCost.R' 'plotMdl1.R' 'filter.dmr.R' 'annotation.R'
'document_data.R'
'age_calc.R' 'autoplot.lm.R' 'cleanTex.R' 'cutoff.R'
'decomma.R' 'defac.R' 'destring.R' 'dropbox_source.R'
'eeptools.R' 'lags.R' 'mapfunctions.R' 'max_mis.R' 'modsims.R'
'moves_calc.R' 'plotForWord.R' 'remove_char.R' 'statamode.R'
'theme_dpi.R' 'theme_dpi_map.R' 'theme_dpi_map2.R'
'theme_dpi_mapPNG.R' 'thresh.R'
'simData.R' 'MHsteps.R' 'FECR_PoGa.R' 'updates.R' 'FEC_PoGa.R'
'eggCounts-package.R' 'printSummary.R' 'profile.R'
'waavpMethods.R'
'cec2009.r' 'control.R' 'crowding_distance.r' 'dominance.r'
'emoa.r' 'front_edge.R' 'hypervolume.r' 'indicators.r'
'logger.R' 'poly_mutation.r' 'sb_crossover.r' 'selection.r'
'sympart.r' 'utilities.r'
'Contacts.r' 'ContactTrace.r' 'EpiContactTrace-package.r'
'in-degree.r' 'ingoing-contact-chain.r' 'network-structure.r'
'network-summary.r' 'out-degree.r' 'outgoing-contact-chain.r'
'plot.r' 'report.r' 'shortest-paths.r' 'show.r' 'trace.r'
'tree.r'
'eqs2lavaan.R' 'eqsCorr.R' 'eqsCov.R' 'eqsDesc.R'
'out2lavaan.R' 'plotCov.R'
calEdgeCorScore.R ESEA.Main.R PlotGlobEdgeCorProfile.R
PlotPathwayGraph.R PlotRunEnrichment.R SavePathway2File.R
getEnvironmentData.R GetExampleData.R GetEdgesBackgrandData.R
GetPathwayEdgeData.R
'helper.R' 'methods.R' 'zzz.R' 'cache.R' 'fail.R' 'worker.R'
'sail.R' 'backends.R' 'constructor.R'
'FastImputation.R' 'TrainFastImputation.R' 'UnfactorColumns.R'
'BoundNormalizedVariable.R' 'NormalizeBoundedVariable.R'
'LimitToSet.R' 'CovarianceWithMissing.R'
'a_FatTailsR-package.R' 'b_trigohp.R' 'c_logishp.R'
'd_conversion.R' 'e_kiener1.R' 'f_kiener2.R' 'g_kiener3.R'
'h_kiener4.R' 'i_moments.R' 'j_tailskiener.R' 'k_estimation.R'
'l_regression.R' 'm_regression2.R' 'n_regression3.R' 'z_data.R'
'FDboost.R' 'baselearners.R' 'crossvalidation.R'
'internalsMboost.R' 'methods.R' 'utilityFunctions.R'
'polarCoord.R' 'stratified.R' 'univariate.tests.R'
'string.to.color.R' 'spearman.plot.R' 'r.crit.R' 'boxcoxR.R'
'missing.vals.R' 'make.formula.R' 'scaleB.R' 'par1.R'
'make.null.R' 'demographics.R' 'chisqPostHoc.R' 'cor2cov.R'
'random.correlation.R' 'scale.it.R' 'densityPlotR.R'
'excelMatch.R' 'prism.plots.R' 'hash.R' 'printx.R' 'roxtemp.R'
'intersperse.R' 'subsetString.R' 'auto.layout.R' 'contents.R'
'mvrnorm.R' 'kruskalmc.R'
filehash.R filehash-DB1.R filehash-RDS.R coerce.R dump.R
hash.R queue.R stack.R zzz.R
classes_definitions.R classes_constructors.R accessors.R
simufreqD.R simupopD.R AuxFunc.R changepop.R PE.R likelihood.R
likestim.R mincontri.R A2.simu.R A3.simu.R A4.simu.R
mastermix.R N2Exact.R N2error.R simMixSNP.R wrapdataL.R
simPCR2.R simPCR2TK.R PV.R Hbsimu.R LR.R LRmixTK.R
'as.character.formula.R' 'catcont.R' 'get.vars.R' 'invert.R'
'is.one.sided.R' 'is.two.sided.R' 'lhs.vars.R' 'op.type.R'
'parts.R' 'parts.lhs.get.R' 'parts.lhs.set.R' 'parts.op.get.R'
'parts.op.set.R' 'parts.rhs.get.R' 'parts.rhs.set.R'
'rhs.vars.R' 'terms.R' 'zzz.R'
fra_chaos.R fra_class.R fra_detm.R fra_dim.R fra_fdp.R
fra_filt.R fra_hurst.R fra_kde.R fra_model.R fra_neig.R
fra_stny.R fra_surr.R fra_pkg.R
alphafrontier.2d.r alphafrontier.3d.r alphascore.r
ordermscore.r ordermscore.boot.r ordermfrontier.2d.r ROCscore.r
'fun-package.R' 'htmlspecialchars.R' 'shutdown.R'
'alzheimer_test.R' 'lights_out.R' 'mine_sweeper.R'
'random_password.R' 'sliding_puzzle.R' 'tag_cloud.R'
'tower_of_hanoi.R' 'gomoku.R'
'cpp_data.R' 'funclust.r' 'input.R' 'output.R' 'plot.R'
'mfpca.R' 'harmCut.r' 'mfpcaPlot.R'
'options.R' 'appender.R' 'constants.R' 'layout.R' 'logger.R'
'scat.R' 'futile.logger-package.R'
var_bounds.R fuzzy_model.R FIS1.R FIS2.R FIS3.R IMP.R SMP1.R
SMP2.R DRN.R fuzzyMM.R Data-track.R fuzzyMM-package.R
'Evaluator.R' 'GenAlgControl.R' 'formatSegmentation.R'
'evaluate.R' 'fitness.R' 'genAlg.R' 'getEvalFun.R' 'subsets.R'
'toCControlList.R' 'validData.R'
'cross.polytope.r' 'cube.r' 'mobius.r' 'parametric.r'
'print.r' 'simplex.r' 'sphere.r' 'torus.r' 'xml.r'
'ggmcmc.R' 'ggs.R' 'ggs_autocorrelation.R'
'ggs_compare_partial.R' 'ggs_crosscorrelation.R'
'ggs_density.R' 'ggs_histogram.R' 'ggs_running.R'
'ggs_traceplot.R' 'ggs_pairs.R' 'data.R' 'help.R' 'functions.R'
'ggs_Rhat.R' 'ggs_geweke.R' 'ggs_caterpillar.R'
'ggs_separation.R' 'globals.R' 'ggs_ppmean.R' 'ggs_ppsd.R'
'ggs_rocplot.R'
'aesply.r' 'data.r' 'geom_coxcomb.r' 'geom_star.r'
'geom_subplot.r' 'geom_subplot2d.r' 'ggsubplot-class.r'
'ggsubplot_build.r' 'merge_overlaps.r' 'package.r' 'ply_aes.r'
'ref_box.r' 'rel-class.r' 'rescalers.r' 'sp_layer-class.r'
'sp_layer_build.r' 'util.r' 'geom_freqstar.r'
'onLoad.R' 'ggtern-package.R' 'aaa.R' 'utilities-help.R'
'gg-internal.R' 'statnew.R' 'geom.R' 'data.R'
'element_ternary.R' 'utilities.R' 'tern-stop.R'
'strip-unapproved.R' 'coord-tern.R' 'global.R'
'theme-defaults.R' 'theme-elements.R' 'theme.R'
'theme-noarrows.R' 'theme-arrowlength.R'
'theme-showsecondary.R' 'theme-showtitles.R'
'theme-showlabels.R' 'theme-showgrid.R' 'theme-convenience.R'
'theme-ticksoutside.R' 'theme-arrowbaseline.R' 'labs-pcnt.R'
'labs-new.R' 'log-ratio-trans.R' 'mahalanobis.R'
'tern-clockwise.R' 'aes.R' 'scales.R' 'panel.R' 'ggtern.R'
'kde2d-weighted.R' 'ggtern-build.R' 'plot-construction.R'
'tern-render.R' 'tern-limits.R' 'geom-smooth.R'
'geom-segment.R' 'geom-Tline.R' 'geom-Lline.R' 'geom-Rline.R'
'geom-confidence.R' 'geom-density2d.R' 'geom-errorbarT.R'
'geom-errorbarL.R' 'geom-errorbarR.R' 'stat-smooth.R'
'stat-density-2d.R' 'stat-Tline.R' 'stat-Lline.R'
'stat-Rline.R' 'TRL-line.R' 'multiplot.R' 'ggsave.R'
'point-in-sequence.R'
'banking.R' 'calc.R' 'colorblind.R' 'economist.R' 'excel.R'
'few.R' 'ggthemes-package.R' 'ggthemes-data.R'
'fivethirtyeight.R' 'gdocs.R' 'geom-rangeframe.R'
'geom-tufteboxplot.R' 'hc.R' 'igray.R' 'pander.R'
'scale-tufte.R' 'shapes.R' 'solarized.R' 'stat-fivenumber.R'
'stata.R' 'tableau.R' 'theme-foundation.R' 'theme-map.R'
'theme-solid.R' 'tufte.R' 'utils.R' 'wsj.R'
'S4_classes.r' 'blame.r' 'blob.r' 'branch.r'
'bundle_r_package.r' 'checkout.r' 'commit.r' 'config.r'
'contributions.r' 'credential.r' 'diff.r' 'fetch.r' 'git2r.r'
'index.r' 'libgit2.r' 'merge.r' 'note.r' 'odb.r' 'plot.r'
'pull.r' 'push.r' 'reference.r' 'reflog.r' 'remote.r'
'repository.r' 'reset.r' 'revparse.r' 'signature.r' 'stash.r'
'status.r' 'tag.r' 'time.r' 'tree.r' 'when.r'
generics.R glpk_ptrClass.R glpk.R glpkAPI.R zzz.R
'GMD-package.R' 'imports.R' 'util.R' 'GMD-internal.R'
'GMD-data.R' 'ghist.R' 'gdist.R' 'css.R' 'heatmap3.R' 'gmdp.R'
'gmdm.R'
'confint.R' 'cumres.coxph.R' 'cumres.default.R' 'cumres.glm.R'
'cumres.lvmfit.R' 'gof-package.R' 'onload.R' 'plot.R' 'print.R'
'vcov.R'
'granovaGG-package.R' 'granovagg.1w-helpers.R'
'theme-defaults.R' 'shared-functions.R' 'granovagg.1w.R'
'granovagg.contr.R' 'granovagg.ds.R'
grob-utils.r arrangeGrob.r gridExtra-package.r tableGrob.r
ngonGrob.r
'create.R' 'grnn-package.r' 'guess.r' 'kernel.R' 'learn.R'
'smooth.R'
'getmf.R' 'XZcov.R' 'datbrghtmodterms.R' 'datbrghtterms.R'
'dateduc.R' 'datsim.R' 'datsimcov.R' 'datsimmult.R'
'ddpMCMCplots.R' 'ddp_quantiles.R' 'ddpeffectsplot.R'
'relabel.R' 'growthCurve.R' 'summary_quantiles.R' 'mcmcPlots.R'
'dpgrowmm.R' 'ddpgrow.R' 'dpgrow.R' 'dpgrowmult.R'
'effectsplot.R' 'growplot.R' 'help.R' 'trtplot.R'
'MSPE.R' 'cps.R' 'gen_informative_sample.R' 'gpdpgrow.R'
'gmrfdpgrow.R' 'gp_car_fit_compare_facet.R' 'gp_cluster_plot.R'
'gp_informative_compare_plot.R' 'help.R' 'plot_cluster.R'
'predict_plot.R'
'negativeExponential.R' 'monomolecular.R' 'mitcherlich.R'
'gompertz.R' 'logistic.R' 'chapmanRichards.R' 'richard.R'
'vonBertalanffy.R' 'weibull.R' 'loglogistic.R' 'mmf.R'
'schnute.R' 'stannard.R' 'brody.R' 'growthmodels.R'
'blumberg.R'
'add-grob.r' 'add-rows-cols.r' 'add-space.r' 'grid.r'
'gtable-layouts.r' 'gtable.r' 'rbind-cbind.r' 'utils.r'
'trim.r' 'filter.r' 'align.r' 'padding.r' 'z.r'
aaaGenerics.R common.R toolkitClasses.R guiWidget.R
guiContainer.R guiComponent.R guiComponentWithItems.R
handlers.R ggroup.R gframe.R gexpandgroup.R gspinbutton.R
gslider.R gsvg.R ggenericwidget.R gtable.R ggraphics.R gtext.R
dialogs.R gtoolbar.R gaction.R ghelp.R gtree.R gbutton.R
ghtml.R gcalendar.R gimage.R gcheckbox.R glabel.R
gcheckboxgroup.R glayout.R gcombobox.R gmenu.R gvarbrowser.R
gcommandline.R gnotebook.R gvariables.R gdf.R gpanedgroup.R
gwindow.R gdfnotebook.R gradio.R gedit.R gseparator.R icons.R
gfile.R gformlayout.R gstatusbar.R bbbGenericsANY.R zzz.R
'misc.R' 'guiToolkit.R' 'BasicInterface.R' 'S4-methods.R'
'S3-methods.R' 'command-stack.R' 'methods.R' 'dialogs.R'
'gWidgets2-package.R' 'gaction.R' 'gbutton.R' 'gcalendar.R'
'gcheckbox.R' 'gcheckboxgroup.R' 'gcombobox.R' 'gdf.R'
'gdfnotebook.R' 'gedit.R' 'ggroup.R' 'gframe.R'
'gexpandgroup.R' 'gfile.R' 'gfilter.R' 'gformlayout.R'
'ggraphics.R' 'ggraphicsnotebook.R' 'ghtml.R' 'gimage.R'
'glabel.R' 'glayout.R' 'gmenu.R' 'gnotebook.R' 'gpanedgroup.R'
'gprogressbar.R' 'gradio.R' 'gseparator.R' 'gslider.R'
'gspinbutton.R' 'gstackwidget.R' 'gstatusbar.R' 'gtable.R'
'gtext.R' 'gtimer.R' 'gtoolbar.R' 'gtree.R' 'ws-model.R'
'gvarbrowser.R' 'gwindow.R' 'handler-methods.R' 'icons.R'
'gWidgets2RGtk2-package.R' 'misc.R' 'gtk-misc.R'
'GComponent.R' 'GContainer.R' 'GWidget.R' 'dialogs.R'
'gaction.R' 'gbutton.R' 'gcalendar.R' 'gcheckbox.R'
'gcheckboxgroup.R' 'gcombobox.R' 'gtable.R' 'gmenu.R' 'gdf.R'
'gedit.R' 'ggroup.R' 'gframe.R' 'gexpandgroup.R' 'gfile.R'
'gformlayout.R' 'ggraphics.R' 'gimage.R' 'glabel.R' 'glayout.R'
'gnotebook.R' 'gpanedgroup.R' 'gprogressbar.R' 'gradio.R'
'gseparator.R' 'gslider.R' 'gspinbutton.R' 'gstackwidget.R'
'gstatusbar.R' 'gtext.R' 'gtimer.R' 'gtoolbar.R' 'gtree.R'
'gvarbrowser.R' 'gwindow.R' 'icons.R' 'startup.R'
'gWidgets2tcltk-package.R' 'List.R' 'misc.R' 'tcltk-misc.R'
'dnd.R' 'GComponent.R' 'GWidget.R' 'GContainer.R' 'dialogs.R'
'gmenu.R' 'gaction.R' 'gbutton.R' 'gcalendar.R' 'gcheckbox.R'
'gtable.R' 'gcheckboxgroup.R' 'gcombobox.R' 'tablelist.R'
'gdf.R' 'gedit.R' 'gexpandgroup.R' 'gfile.R' 'gformlayout.R'
'ggroup.R' 'gframe.R' 'gimage.R' 'glabel.R' 'glayout.R'
'gnotebook.R' 'gpanedgroup.R' 'gradio.R' 'gseparator.R'
'gslider.R' 'gspinbutton.R' 'gstackwidget.R' 'gstatusbar.R'
'gtext.R' 'gtimer.R' 'gtoolbar.R' 'gtree.R' 'gwindow.R'
'icons.R' 'zzz.R' 'gvarbrowser.R' 'tk2tip.R' 'gprogressbar.R'
'H5Location-Attribute.R' 'Attribute.R' 'CommonFG.R'
'CommonFG-DataSet.R' 'CommonFG-Group.R' 'DataSet.R'
'DataSpace.R' 'Dataset-Extend.R' 'Dataset-Subset.R' 'H5File.R'
'H5Group.R' 'Helpers.R' 'RcppExports.R' 'h5-package.R'
lattice.R BTC.R BTY.R grid.hexagons.R grid.hexlegend.R hbox.R
hdiffplot.R hexbinList.R hexbinplot.R hexbin.s4.R hexpanel.R
hexplom.R hexPlotMA.R hexutil.R hexViewport.R HO.R LINGRAY.R
LOCS.R MAG.R RB.R smoothHexbin.R
'All_classes.R' 'Fuzzy_cmeans.R' 'H_time_series.R'
'HistDAWass-package.R' 'Kohonen_maps.R' 'Met_HTS.R'
'Met_MatH.R' 'Met_distributionH.R' 'Utility.R'
'principal_components.R' 'regression.R'
'unsuperv_classification.R' 'Plotting_with_ggplot.R'
'diagnostic_functions.R' 'group_level_residual_functions.R'
'identification.R' 'plot_functions.R' 'quantile_functions.R'
'adjust_formula_lmList.R' 'case_delete.R' 'LSresids.R'
'HLMresid.R' 'help.R' 'influence_functions.R'
'utility_functions.R' 'rotate_ranefs.R' 'autism.R' 'ahd.R'
'radon.R'
'paste.row.R' 'paracetamol.R' 'laser.R' 'flu.R' 'chondro.R'
'barbiturates.R' 'hyperspec-package.R' 'validate.R'
'hyperspec-class.R' 'Arith.R' 'Compare.R' 'DollarNames.R'
'Math.R' 'Summary.R' 'aggregate.R' 'all.equal.R' 'apply.R'
'as.data.frame.R' 'bind.R' 'call.list.R' 'chk.hy.R'
'colMeans.R' 'collapse.R' 'cov.R' 'decomposition.R' 'dim.R'
'dimnames.R' 'empty.R' 'wl2i.R' 'extract.R' 'factor2num.R'
'fileio.optional.R' 'getbynames.R' 'initialize.R' 'labels.R'
'plotmap.R' 'levelplot.R' 'makeraster.R' 'map.identify.R'
'map.sel.poly.R' 'mark.dendrogram.R' 'matlab.palette.R'
'mean_sd.R' 'merge.R' 'mvtnorm.R' 'normalize01.R' 'options.R'
'orderwl.R' 'pearson.dist.R' 'plot.R' 'plotc.R' 'plotmat.R'
'plotspc.R' 'plotvoronoi.R' 'qplot.R' 'qplotmixmap.R'
'quantile.R' 'rbind.fill.R' 'read.ENVI.Nicolet.R' 'read.ENVI.R'
'read.cytomat.R' 'read.ini.R' 'read.jdx.R'
'read.jdx.Shimadzu.R' 'read.spc.Kaiser.R' 'read.spc.R'
'read.txt.Horiba.R' 'read.txt.Shimadzu.R' 'read.txt.long.R'
'read.txt.wide.R' 'replace.R' 'sample.R' 'scale.R'
'scan.txt.Renishaw.R' 'scan.txt.Witec.R' 'seq.R' 'show.R'
'spc.NA.approx.R' 'spc.bin.R' 'spc.fit.poly.R' 'spc.identify.R'
'spc.loess.R' 'spc.rubberband.R' 'spc.spline.R' 'split.R'
'split.string.R' 'splitdots.R' 'subset.R' 'sweep.R'
'trellis.factor.key.R' 'units.R' 'unittest.R' 'vandermonde.R'
'wc.R' 'wl.R' 'wleval.R' 'write.txt.long.R' 'write.txt.wide.R'
'y-pastenames.R' 'zzz.R'
'adjacency.R' 'auto.R' 'assortativity.R' 'attributes.R'
'basic.R' 'bipartite.R' 'centrality.R' 'centralization.R'
'cliques.R' 'cocitation.R' 'cohesive.blocks.R' 'printr.R'
'community.R' 'components.R' 'console.R' 'conversion.R'
'data_frame.R' 'decomposition.R' 'degseq.R' 'demo.R'
'embedding.R' 'epi.R' 'fit.R' 'flow.R' 'foreign.R' 'games.R'
'glet.R' 'hrg.R' 'igraph-package.R' 'incidence.R' 'indexing.R'
'interface.R' 'iterators.R' 'layout.R' 'layout_drl.R'
'lazyeval.R' 'make.R' 'mgclust.R' 'minimum.spanning.tree.R'
'motifs.R' 'nexus.R' 'operators.R' 'other.R' 'package.R'
'palette.R' 'par.R' 'paths.R' 'plot.R' 'plot.common.R'
'plot.shapes.R' 'pp.R' 'print.R' 'random_walk.R' 'rewire.R'
'scan.R' 'scg.R' 'sgm.R' 'similarity.R' 'simple.R' 'sir.R'
'socnet.R' 'sparsedf.R' 'structural.properties.R'
'structure.info.R' 'test.R' 'tkplot.R' 'topology.R'
'triangles.R' 'utils.R' 'uuid.R' 'versions.R' 'weakref.R'
'zzz-deprecate.R'
ImageClass.R MethodDefinitions.R ComplexImageClass.R
OrthogonalImageClass.R MultipleImagesClass.R OrthMoments.R
MultiCmplxWrapper.R gpzmWrapper.R frWrapper.R fmWrapper.R
fcWrapper.R
'F_bias.R' 'F_daily_mean.R' 'F_date_time.R' 'F_Mo.Th.Ra.R'
'F_par_calibration.R' 'F_plot_meas_sim.R'
'F_shape_calibration.R' 'F_Th_int_series.R' 'F_Th_interp.R'
'InterpolT-package.R'
Class-Trace.R Class-Stream.R Class-IrisClient.R
mseedWrappers.R Utils.R spectralUtils.R
'ability.R' 'estimate.R' 'itemfit.R' 'nonpar.R' 'readin.R'
'scale.R' 'tracelines.R' 'utils.R' 'irtoys-package.R'
'ISOweek.R' 'ISOweekday.R' 'date2ISOweek.R' 'ISOweek2date.R'
'ISOweek-internal.R'
'RcppExports.R' 'block.R' 'confidence_intervals.R'
'sim_program.R' 'demographic_model.R'
'estimate_log_likelihood.R' 'find_best_par_in_block.R'
'fit_glm.R' 'helper_functions.R' 'initial_search.R' 'jaatha.R'
'normalize.R' 'package_info.R' 'parallelization.R'
'read_fasta.R' 'refined_search.R' 'run_simulations.R'
'sim_likelihood.R' 'sim_program_ms.R' 'sim_program_msms.R'
'sim_program_seqgen.R' 'simulate_within_block.R'
'sum_stat_fpc.R' 'sum_stat_generate.R' 'sum_stat_jsfs.R'
'sum_stat_pmc.R'
'zzz.R' 'hello.R' 'JASPAR-package.R' 'JASPAR-internal.R'
'make_template.R'
'coalesce_na.R' 'export.R' 'gdiff.R' 'hms_to_seconds.R'
'in_interval.R' 'kimisc-package.R' 'nlist.R' 'ofactor.R'
'sample_data_frame.R' 'seconds_to_hms.R' 'thisfile.R' 'tll.R'
'kitagawa-package.R' 'alpha_constants.R' 'omega_constants.R'
'open_well_response.R' 'well_response.R' 'utilities.R'
'methods.R' 'zzz.R'
'00_class_01_klausuR.test.R' '00_class_02_klausuR.R'
'00_class_03_klausuR.answ.R' '00_class_04_klausuR.mult.R'
'01_method_plot.klausuR.R' '01_method_show.klausuR.R'
'01_method_sort.klausuR.R' 'compare.R' 'grand.table.R'
'klausuR-internal.R' 'klausuR-internal.roxy.all.R'
'klausuR-package.R' 'klausur.R' 'klausur.data.R'
'klausur.gen.R' 'klausur.gen.corr.R' 'klausur.gen.marks.R'
'klausur.mufo.R' 'klausur.report.R' 'nret.rescale.R'
'nret.translator.R'
'Kmisc-md2html.R' 'Kmisc-package.R' 'RcppExports.R'
'Rcpp_gen_makevars.R' 'anat.R' 'any_na.R' 'apply.R' 'awk.R'
'bwplot2.R' 'chunk.R' 'clean_doc.R' 'copy.R' 'counts.R'
'extract.R' 'extract_rows_from_file.R' 'fast_factor.R'
'grid.text2.R' 'html.R' 'htmlTable.R' 'html_attach.R'
'html_extras.R' 'html_tags.R' 'in_interval.R' 'is_sorted.R'
'labeller.R' 'list_to_dataframe.R' 'manhattan_plot.R'
'mat2df.R' 'matches.R' 'melt_.R' 'misc.R' 'nametree.R'
'pMerge.R' 'pad.R' 'par.reset.R' 'pp_plot.R'
'prepare_package.R' 'pymat.R' 'rcpp_apply_generator.R'
'rcpp_tapply_generator.R' 'read.R' 'regex.R'
'registerFunctions.R' 'remove_char_digit.R' 'simp.R' 'size.R'
'split_file.R' 'split_runs.R' 'stack_list.R' 'str_collapse.R'
'str_rev.R' 'str_slice.R' 'str_sort.R' 'str_split.R' 'swap.R'
'sys.R' 'tapply_.R' 'transpose.R' 'unmelt.R' 'update_date.R'
'value_matching.R' 'wrap.R'
global.R clusterLongData.R parKml.R parChoice.R kml.R
'functions4glmClust.R' 'GlmCluster.R' 'glmclust-internal.R'
'glmClust.R' 'kmlcov-package.R' 'kmlCov.R'
'block.R' 'cache.R' 'utils.R' 'citation.R' 'plot.R'
'hooks-html.R' 'defaults.R' 'concordance.R' 'engine.R'
'themes.R' 'highlight.R' 'header.R' 'hooks-asciidoc.R'
'hooks-chunk.R' 'hooks-extra.R' 'hooks-latex.R' 'hooks-md.R'
'hooks-rst.R' 'hooks-textile.R' 'hooks.R' 'output.R'
'package.R' 'pandoc.R' 'params.R' 'parser.R' 'pattern.R'
'rocco.R' 'spin.R' 'table.R' 'template.R' 'themes-eclipse.R'
'utils-base64.R' 'utils-conversion.R' 'utils-rd2html.R'
'utils-sweave.R' 'utils-upload.R' 'utils-vignettes.R' 'zzz.R'
'onLoad.R' 'manageDic.R' 'hangulUtils.R' 'koAnalyzerRun.R'
'tagdata.R' 'Concordances.R'
'00_class_01_kRp.tagged.R' '00_class_02_kRp.TTR.R'
'00_class_03_kRp.txt.freq.R' '00_class_04_kRp.txt.trans.R'
'00_class_05_kRp.analysis.R' '00_class_06_kRp.corp.freq.R'
'00_class_07_kRp.hyph.pat.R' '00_class_08_kRp.hyphen.R'
'00_class_09_kRp.lang.R' '00_class_10_kRp.readability.R'
'01_method_cTest.R' 'kRp.filter.wclass.R' 'koRpus-internal.R'
'01_method_clozeDelete.R' '01_method_correct.R'
'01_method_kRp.taggedText.R' '01_method_plot.kRp.tagged.R'
'01_method_query.R' '01_method_show.kRp.lang.R'
'01_method_show.kRp.TTR.R' '01_method_show.kRp.corp.freq.R'
'01_method_show.kRp.readability.R'
'01_method_summary.kRp.lang.R' '01_method_summary.kRp.TTR.R'
'01_method_summary.kRp.readability.R'
'01_method_summary.kRp.tagged.R'
'01_method_summary.kRp.txt.freq.R' 'ARI.R' 'C.ld.R' 'CTTR.R'
'DRP.R' 'ELF.R' 'FOG.R' 'FORCAST.R' 'HDD.R' 'K.ld.R' 'LIX.R'
'MATTR.R' 'MSTTR.R' 'MTLD.R' 'R.ld.R' 'RIX.R' 'S.ld.R' 'SMOG.R'
'TRI.R' 'TTR.R' 'U.ld.R' 'bormuth.R' 'coleman.R'
'coleman.liau.R' 'dale.chall.R' 'danielson.bryan.R'
'dickes.steiwer.R' 'farr.jenkins.paterson.R' 'flesch.R'
'flesch.kincaid.R' 'freq.analysis.R' 'fucks.R' 'get.kRp.env.R'
'guess.lang.R' 'harris.jacobson.R' 'hyph.XX-data.R' 'hyphen.R'
'jumbleWords.R' 'kRp.POS.tags.R' 'kRp.cluster.R'
'kRp.text.analysis.R' 'kRp.text.paste.R' 'kRp.text.transform.R'
'koRpus-internal.import.R' 'koRpus-internal.lexdiv.formulae.R'
'koRpus-internal.rdb.formulae.R'
'koRpus-internal.rdb.params.grades.R'
'koRpus-internal.roxy.all.R' 'koRpus-package.R'
'lang.support-de.R' 'lang.support-en.R' 'lang.support-es.R'
'lang.support-fr.R' 'lang.support-it.R' 'lang.support-ru.R'
'lex.div.R' 'lex.div.num.R' 'linsear.write.R' 'maas.R'
'manage.hyph.pat.R' 'nWS.R' 'read.BAWL.R' 'read.corp.LCC.R'
'read.corp.celex.R' 'read.corp.custom.R' 'read.hyph.pat.R'
'read.tagged.R' 'readability.R' 'readability.num.R'
'segment.optimizer.R' 'set.kRp.env.R' 'spache.R' 'strain.R'
'textFeatures.R' 'tokenize.R' 'traenkle.bailer.R' 'treetag.R'
'tuldava.R' 'wheeler.smith.R'
'VAR.R' 'break.ties.R' 'coef.l2boost.R' 'cv.l2boost.R'
'diabetes.R' 'elasticNetSim.R' 'error.bars.R' 'eval.fold.R'
'extract.corr.R' 'fitted.l2boost.R' 'get.discrete.solution.R'
'get.hybrid.solution.R' 'get.lars.solution.R' 'help.R'
'l2boost.R' 'mstep.long.R' 'mvnorm.l2boost.R' 'nu.limit.R'
'plot.l2boost.R' 'plot.lines.R' 'predict.l2boost.R'
'print.l2boost.R' 'print.summary.l2boost.R' 'resample.R'
'residuals.l2boost.R' 'summary.l2boost.R' 'which.max.ind.R'
'which.min.ind.R'
'generics.R' 'laf.R' 'laf_column.R' 'meta.R' 'open.R'
'read_dm_blaise.R' 'stats.R' 'textutils.R' 'types.R'
'utility.R'
'angoff.R' 'bin.combs.R' 'cov.lambda4.R' 'impute.cov.R'
'kristof.R' 'lambda1.R' 'lambda2.R' 'lambda3.R' 'lambda5.R'
'lambda6.R' 'omega.tot.R' 'print.Lambda4.pkg.R'
'quant.lambda4.R' 'raju.R' 'user.lambda4.R' 'guttman.R'
'any.R' 'lambda.tools-package.R' 'logic.R' 'sequence.R'
'fold.R' 'map.R' 'sample.R' 'transform.R' 'ntry.R'
'binary.R' 'clprobit.R' 'hooks.R' 'onload.R' 'plotres.R'
'rbind.Surv.R' 'tobit.R' 'weighted.R' 'lava.tobit-package.R'
'compute_LICORS_loglik.R' 'compute_mixture_penalty.R'
'compute_NEC.R' 'contCA00.R' 'data2LCs.R' 'estimate_LC_pdfs.R'
'estimate_state_adj_matrix.R' 'estimate_state_probs.R'
'get_LC_config.R' 'image2.R' 'initialize_states.R' 'kmeanspp.R'
'LC-utils.R' 'LICORS-package.R' 'merge_states.R'
'mixed_LICORS.R' 'normalize.R' 'predict_FLC_given_PLC.R'
'rdensity.R' 'relabel_vector.R' 'remove_small_sample_states.R'
'search_knn.R' 'setup_LC_geometry.R' 'sparsify_weights.R'
'states2weight_matrix.R' 'threshold.R' 'weight_matrix2states.R'
'wKDE.R' 'mixed_LICORS-utils.R' 'compute_LC_coordinates.R'
'compute_margin_coordinates.R' 'get_spacetime_grid.R'
'embed2.R'
'conversion.R' 'find-utils.R' 'finders.R' 'family.R'
'functional.R' 'lint.R' 'base.patterns.R' 'pattern-utils.R'
'styles.assignment.R' 'styles.performance.R' 'styles.spacing.R'
'lint.patterns.R'
'LogisticDx_package.R' 'OR.R' 'ageChd.R' 'bbdm.R' 'dx.R'
'genBinom.R' 'gof.R' 'icu.R' 'lbw.R' 'llbw.R' 'mes.R' 'mlbw.R'
'nhanes3.R' 'pcs.R' 'plotGlm.R' 'printGofGlm.R' 'printSSglm.R'
'printSigGlm.R' 'sig.R' 'ss.R' 'uis.R'
global.r function.r constants.r myMisc3d.r longData.r
longData3d.r distanceFrechet.R imputCross.R imputTraj.R
imputLinearInterpol.R imputCopyMean.R imputation.r partition.r
listPartition.r parLongData.r parWindows.r longDataPlot.r
'diggle.linear.power.R' 'edland.linear.power.R'
'liu.liang.linear.power.R' 'lmmpower.R' 'power_mmrm.R'
'print.power.longtest.R'
'LICORS2LSC.R' 'LSC-utils.R' 'plot_LSC_1plus1D.R'
'plot_LSC_2plus1D.R' 'states2LSC.R' 'states2probs.R'
'LSC-package.R' 'plot_LSC_0plus1D.R'
'lsgl_fit.R' 'lsgl_cv.R' 'lsgl_predict.R' 'lsgl_config.R'
'lsgl_navigate.R'
'GeneralUtilities.R' 'ltmle.R' 'ltmle_sg.R'
'BinaryToCensoring.R' 'DeterministicFunctions.R' 'zzz.R'
'time-zones.r' 'POSIXt.r' 'timespans.r' 'numeric.r' 'util.r'
'durations.r' 'periods.r' 'intervals.r' 'difftimes.r' 'Dates.r'
'coercion.r' 'ops-addition.r' 'ops-division.r'
'ops-integer-division.r' 'ops-modulo.r' 'ops-multiplication.r'
'ops-subtraction.r' 'accessors-day.r' 'accessors-dst.r'
'accessors-hour.r' 'accessors-minute.r' 'accessors-month.r'
'accessors-second.r' 'accessors-tz.r' 'accessors-week.r'
'accessors-year.r' 'am-pm.r' 'decimal-dates.r' 'epochs.r'
'help.r' 'instants.r' 'leap-years.r' 'parse.r' 'pretty.r'
'round.r' 'update.r' 'data.r' 'guess.r' 'stamp.r' 'ops-%m+%.r'
'accessors-quarter.r'
'class-CategoryLabel.R' 'class-PredictiveModelList.R'
'class-ObsLulcRasterStack.R' 'class-NeighbRasterStack.R'
'class-ExpVarRasterList.R' 'class-Model.R'
'class-ThreeMapComparison.R' 'AgreementBudget.R'
'ExpVarRasterList.R' 'FigureOfMerit.R' 'Model.R'
'NeighbRasterStack.R' 'ObsLulcRasterStack.R'
'class-PerformanceList.R' 'PerformanceList.R'
'class-PredictionList.R' 'PredictionList.R'
'ThreeMapComparison.R' 'allocate.R' 'allow.R' 'allowNeighb.R'
'approxExtrapDemand.R' 'as.data.frame.R'
'c.PredictiveModelList.R' 'index.R' 'coerce.R' 'compareAUC.R'
'crossTabulate.R' 'data.R' 'getPredictiveModelInputData.R'
'length.R' 'lulcc-package.R' 'models.R' 'names.R' 'partition.R'
'performance.rocr.R' 'plot.AgreementBudget.R'
'plot.FigureOfMerit.R' 'plot.Performance.R' 'plot.R'
'predict.R' 'resample.R' 'show.R' 'subset.R' 'summary.R'
'total.R'
Luminescence-package.R Analyse_SAR.OSLdata.R
analyse_SAR.CWOSL.R analyse_SAR.TL.R analyse_IRSAR.RF.R
CW2pLM.R CW2pLMi.R CW2pHMi.R CW2pPMi.R calc_FadingCorr.R
calc_FuchsLang2001.R calc_OSLLxTxRatio.R calc_TLLxTxRatio.R
Second2Gray.R fit_LMCurve.R fit_CWCurve.R
plot_Risoe.BINfileData.R plot_KDE.R plot_GrowthCurve.R
plot_Histogram.R plot_RadialPlot.R plot_RLum.R
plot_RLum.Analysis.R plot_RLum.Data.Curve.R readBIN2R.R
RisoeBINfileData-class.R Risoe.BINfileData2RLum.Analysis.R
RLum-class.R RLum.Data-class.R RLum.Data.Curve-class.R
RLum.Analysis-class.R RLum.Results-class.R calc_CentralDose.R
calc_FiniteMixture.R calc_MinDose.R calc_CommonDose.R
calc_CosmicDoseRate.R merge_Risoe.BINfileData.R writeR2BIN.R
Risoe.BINfileData2RLum.Data.Curve.R calc_HomogeneityTest.R
calc_AliquotSize.R readXSYG2R.R RLum.Data.Spectrum-class.R
plot_RLum.Data.Spectrum.R calc_MaxDose.R plot_AbanicoPlot.R
plot_DRTResults.R calc_Statistics.R apply_CosmicRayRemoval.R
apply_EfficiencyCorrection.R readSPE2R.R
RLum.Data.Image-class.R plot_RLum.Data.Image.R get_Layout.R
analyse_pIRIRSequence.R merge_RLum.R get_RLum.R
merge_RLum.Analysis.R plot_RLum.Results.R calc_SourceDoseRate.R
merge_RLum.Data.Curve.R calc_IEU.R extract_IrradiationTimes.R
RcppExports.R zzz.R
'maboost-package.r' 'maboost.R' 'maboost.default.R'
'maboost.formula.R' 'maboost.machine.bin.R'
'maboost.machine.multi.R' 'predict.maboost.R' 'print.maboost.R'
'projsplx.R' 'projsplx_k.R' 'summary.maboost.R'
'update.maboost.R' 'varplot.maboost.R'
'accumulate.results.R' 'calculate.dht.R'
'check.bootstrap.options.r' 'check.convergence.R'
'check.covar.uncertainty.R' 'check.ddf.models.R'
'check.species.code.definitions.R' 'check.species.presence.r'
'create.obs.table.R' 'create.param.arrays.r'
'create.result.arrays.R' 'execute.multi.analysis.R'
'fit.ddf.models.R' 'format.dht.results.R' 'get.datasets.R'
'glossary.R' 'mae.warning.R' 'model.description.R'
'object.description.R' 'process.bootstrap.results.R'
'process.warnings.R' 'prorate.unidentified.R'
'renumber.duplicates.R' 'resample.covariates.R'
'resample.data.R' 'rtpois.R' 'store.param.ests.R'
'summary.ma.allspecies.R' 'summary.ma.allunid.R'
'summary.ma.analysis.R' 'summary.ma.R' 'summary.ma.species.R'
'summary.ma.unid.R'
manifestoR-package.r globals.R cache.R db_api.R corpus.R
manifesto.R codes.R scaling_general.R scaling_rile.R
scaling_functions.R scaling_bootstrap.R dataset.R
utils.R biom-ext.R client.R graphics.R analysis-support.R
analysis-misc.R distx.R rowstats.R transform.R boxplot.R
princomp.R image.R init.R
AggregateFireFracs.R AggregateVegFracs.R
ReportMeanVegChanges.R SaveFireAreaFracs.R SaveMatrix.R
SaveRatios.R SaveSequence.R SaveVegFracs.R VTnames.R
VegTypeChanges.R SaveVegChangeProbabilityMultipliers.R
SaveFireProbabilityMultipliers.R
"mcrMisc.r" "mcLinReg.r" "mcDeming.r" "mcWDeming.r"
"mcPaBaLarge.r" "mcPaBa.r" "mcCalcCI.r" "mcCalcTstar.r"
"mcBootstrap.r" "MCResultMethods.r" "MCResult.r"
"MCResultAnalyticalMethods.r" "MCResultAnalytical.r"
"MCResultJackknifeMethods.r" "MCResultJackknife.r"
"MCResultResamplingMethods.r" "MCResultResampling.r"
"MCResultBCaMethods.r" "MCResultBCa.r" "mcrInterface.r"
"mcrCompareFit.r" "mcrIncludeLegend.r" "zzz.r"
'example-bcg.R' 'methods-for-batch-distribution.R'
'methods-for-data-generation.R' 'methods-for-experiments.R'
'methods-for-inference.R' 'plot-functions.R'
'plot-interval-estimates.R' 'plot-pivotal-distributions.R'
'plot-point-estimates.R' 'zzz.R'
MetaPCA.R functions.R DropDupGenes.R requireAll.R PlotPC2D.R
PreprocessMetaAnalysis.R
MetaQC.R requireAll.R functions.R runQC.R cleanup.R
'aaa.r' 'classes.r' 'generic_methods.r' 'MF-package.r'
'HLBoot.r' 'MFBoot.r' 'MFClus.r' 'MFClusBoot.r' 'MFmp.r'
'MFr.r' 'MFSubj.r'
'gini.R' 'migration.indices.R' 'crude.R' 'others.R' 'acv.R'
'graph.R'
Corrp2miRfile.R EnrichmentScore.R S2N.R MirSEA.R MsReport.R
GetExampleData.R getEnvironmentData.R GetMiRTargetData.R
GetPathwayData.R PlotCorrelation.R PlotHeatMap.R
PlotRunEnrichment.R
'global.R' 'MixAll.R' 'ClusterAlgo.R' 'ClusterInit.R'
'ClusterStrategy.R' 'ClusterModelNames.R' 'IClusterModel.R'
'ClusterCategorical.R' 'ClusterDiagGaussian.R' 'ClusterGamma.R'
'ClusterPoisson.R' 'ClusterHeterogeneous.R' 'ClusterPlot.R'
'missingValues.R'
'mixmapTest.R' 'mixmapPI.R' 'MixMAPclass.R' 'plot.MixMAP.R'
'summary.MixMAP.R'
'MizerParams-class.r' 'MizerSim-class.r' 'selectivity_funcs.r'
'project.r' 'help.r' 'project_methods.r' 'summary_methods.r'
'plots.r' 'wrapper_functions.R' 'NS_species_params-data.R'
'checkinitialvalues.R' 'DeltaMethod.R' 'detfct.R' 'em.R'
'eval.pdf.R' 'fitmix.R' 'flt.gr.R' 'flt.R' 'flt.var.R'
'getpars.R' 'goftests.R' 'integrate.hn.pt.R' 'integrate.hn.R'
'integrate.pdf.R' 'inv.reparam.pi.R' 'keyfct.hn.R' 'keyfct.R'
'mu.calc.R' 'namepars.R' 'plot.ds.mixture.R'
'print.ds.mixture.R' 'print.summary.ds.mixture.R'
'reparam.pi.R' 'scalevalue.R' 'setinitialvalues.R' 'sim.mix.R'
'solvecov.R' 'step.ds.mixture.R' 'summary.ds.mixture.R'
'switchpars.R' 'varNp.R' 'zzz.R' 'mmds-package.R'
addItem.R findItem.R delItem.R addRow.R findRow.R checkArray.R
checkCTechSTu.R getCTechSTM1u.R getCTechSTM2u.R getCharSTM1u.R
getCharSTM2u.R findOptimalBasisM1FromScratch.R
findOptimalBasisM2FromScratch.R compContourM1u.R
compContourM2u.R evalContour.R
AllClasses.R AllGenerics.R derivatives_nlps.R msPriorSpec.R
imombf.R mode2g.R pimom.R imomknown.R modelSelection.R pmom.R
dimom.R imomunknown.R priorp2g.R margpimom.R mombf.lm.R qimom.R
emom.R dmom.R mombf.R qmom.R g2mode.R margpmom.R margpemom.R
momknown.R imombf.lm.R momunknown.R pmomLM.R pmomPM.R emomLM.R
postMode.R pplProbit.R greedyGLM.R ppmodel.R zellnerLM.R rmom.R
cox.R
'normalization.R' 'downsizing.R' 'querries.R' 'filtering.R'
'visualization.R' 'analyses.R' 'data.R' 'mapreduce.R'
'angdiffvec.R' 'areaunder.R' 'getmouseDV.R' 'interpltraj.R'
'makerun.R' 'maxdev.R' 'pathoffset.R' 'sampen.R' 'sampenc.R'
'sampense.R' 'trim0.R' 'trim1.R' 'velaj.R' 'xflip.R'
getPSS.R performpcls.R identifypathway.R GetExampleData.R
getEnvironmentData.R
'export.summary.mpm.R' 'Famin81A.R' 'Golub.R' 'mpm.R'
'plot.mpm.R' 'print.mpm.R' 'print.summary.mpm.R'
'summary.mpm.R' 'zzz.R'
'add3pt.R' 'calc.genoprob2.R' 'calcmpprob.R' 'check-ped.R'
'check-QTL.R' 'clean.mpcross.R' 'cleanmap.R' 'cleanrf.R'
'combine-chr.R' 'combine-ibd.R' 'combine-ld.R' 'combine-rf.R'
'compare-orders.R' 'compute-bnld.R' 'compute-bnrf.R'
'computemap.R' 'convertped.R' 'CR-calcLD.R' 'CR-cross.R'
'CR-estrf.R' 'CR-gen-geno.R' 'fill.R' 'fillmiss.R' 'findqtl2.R'
'fit.mpqtl.R' 'gen4ped.R' 'gen8ped.R' 'generate-error.R'
'generate-obs.R' 'generate-pheno.R' 'getpval.R' 'mapcomp.R'
'maporder.R' 'mp-mapdist.R' 'mpadd.R' 'mpcalcld.R' 'mpcross.R'
'mpestrf.R' 'mpgroup.R' 'mpIM.R' 'mpMap-output.R' 'mporder.R'
'mpprob.R' 'mpsegrat.R' 'nai.R' 'plot.mpcross.R'
'plot.mpprob.R' 'plot.mpqtl.R' 'plotlink.map.R'
'print.mapcomp.R' 'print.mpcross.R' 'print.mpprob.R'
'print.mpqtl.R' 'qtlmap.R' 'read.mpcross.R'
'reorgRIgenoprob2.R' 'sim.mpcross.R' 'sim.mpped.R'
'sim.sigthr.R' 'subset.mpcross.R' 'subset.mpprob.R'
'summary.mpcross.R' 'summary.mpprob.R' 'summary.mpqtl.R'
'supportinterval.R' 'waldTests.R'
'Generic_functions.R' 'RcppExports.R' 'Associated_functions.R'
'GR_functions.R' 'Class_Carto3D.R' 'Class_MRIaggr.R'
'Help.R' 'TriangleAdjustMeasures.R' 'CreateOriginPeriods.R'
'CreateEvaluationDates.R' 'CreateDevelopmentLags.R'
'Triangle.R' 'PlotTriangle.R' 'TriangleMeta.R'
'LatestDiagonal.R' 'TriangleModel.R' 'SummaryTriangleModel.R'
'PlotModelFactors.R' 'PlotModelGoF.R' 'PlotTriangleModel.R'
'ProjectToDate.R' 'ProjectToDev.R' 'ProjectValues.R'
'TriangleProjection.R' 'CompleteTriangle.R' 'data.R'
'PlotResiduals.R' 'SerialCorrelation.R' 'GetTriangleData.R'
MRSP-prespecifier.r MRSP-classes-7.r FISTA-classes-3.r
FISTA-generics-2.r FISTA-27.r MRSP-methods-15.r
MRSP-cfunctions-2.r MRSP-helpers-21.r MRSP-fista-7.r
MRSP-family-23.r MRSP-fit-39.r MRSP-formula-2.r MRSP-3.r zzz.r
'andrews_curve.R' 'char_gen.R' 'color.R' 'cut_plot.R'
'heart_curve.R' 'MSG-package.R'
'msgl_fit.R' 'msgl_cv.R' 'msgl_subsampling.R' 'msgl_predict.R'
'msgl_navigate.R' 'msgl_config.R'
'mtkAllGenerics.R' 'globalsMtkFuncts.R' 'mtkValue.R'
'mtkFeature.R' 'mtkLevels.R' 'mtkParameter.R' 'mtkDomain.R'
'mtkFactor.R' 'mtkExpFactors.R' 'mtkProcess.R'
'mtkExpWorkflow.R' 'mtkExperiment.R' 'mtkParsor.R'
'mtkResult.R' 'mtkDesignerResult.R' 'mtkDesigner.R'
'mtkMorrisDesigner.R' 'mtkBasicMonteCarloDesigner.R'
'mtkRandLHSDesigner.R' 'mtkNativeDesigner.R'
'mtkSobolDesigner.R' 'mtkFastDesigner.R' 'mtkEvaluatorResult.R'
'mtkEvaluator.R' 'mtkNativeEvaluator.R'
'mtkIshigamiEvaluator.R' 'mtkWWDMEvaluator.R'
'mtkSystemEvaluatorResult.R' 'mtkSystemEvaluator.R'
'mtkAnalyserResult.R' 'mtkAnalyser.R' 'mtkNativeAnalyser.R'
'mtkDefaultAnalyser.R' 'mtkRegressionAnalyser.R'
'mtkMorrisAnalyser.R' 'mtkSobolAnalyser.R' 'mtkPLMMAnalyser.R'
'mtkFastAnalyser.R' 'mtk.addons.R' 'mtkPackage.R'
'betas_plot.R' 'mhplot.R' 'multi_meta.R' 'qqplotter.R'
'Example_file_1.R' 'Example_file_2.R' 'Example_output_file.R'
'alter.r' 'check.r' 'convert.r' 'munsell.r' 'plot.r'
classes.R mardiaTest.R hzTest.R roystonTest.R mvOutlier.R
mvnPlot.R uniNorm.R uniPlot.R
movG-class.R circularExtension.R entryData.R
entryDataMethods.R extendHorVer.R fittedMethods.R movingGrid.R
movingMean.R residualsMethods.R showMethods.R sketchGrid.R
sketchGridMethods.R summaryMethods.R movingMeanMethods.R
regimes.R treeDists.R grid.R matrixexps.R
matrixparametrizations.R modelparamstransform.R precalcs.R
sdemoments.R sdemomentsphyl.R loglik.R ci.R phylgls.R
modelparamssummary.R modelparams.R estimBM.R estimGLSGC.R
estimMAXLIK.R simulVasicekproc.R simulVasicekprocphyl.R
PhyloSDEestim.R MVslouchSimulStudy.R wrappers.R fitch.mvsl.R
ouch2slouch.mvsl.R make.states.mvsl.R evolmodelest.R getESS.R
'iedb_consensus_mhci_nmer.R' 'abcpred_nmer.R' 'algpred.R'
'allermatch.R' 'bcepred_nmer.R' 'bimas_nmer.R'
'filter.firstlayer.R' 'iedb_arb_mhcii_nmer.R'
'iedb_consensus_mhcii_nmer.R' 'netmhcNN_nmer.R'
'netmhcWT_nmer.R' 'propred_nmer.R' 'iedb_arb_mhci_nmer.R'
'zzz.R'
'MyrrixClientConfiguration.R' 'ClientRecommender.R'
'ServerRecommender.R' 'RecommenderMethods.R'
'HyperParameters.R' 'utils.R' 'namespace_imports.R'
All.R summary.R cen.R km.R reg.R mle.R ken.R ros.R icmle.R
'amiralandmarks-io.R' 'amiramesh-io.R' 'cmtk-reformat.R'
'cmtk.R' 'cmtk_geometry.R' 'cmtk_io.R' 'cmtkreg.R'
'coordinates.R' 'dist3D_Segment_to_Segment.R' 'neuron.R'
'dotprops.R' 'graph-nodes.R' 'hxsurf.R' 'im3d.R' 'nat-data.R'
'nat-package.R' 'ndigest.R' 'neuron-io-amira.R'
'neuron-io-fiji.R' 'neuron-io-neuroml.R' 'neuron-io.R'
'neuron-plot.R' 'neuronlist.R' 'neuronlist_interactive_3d.R'
'neuronlist_sets.R' 'neuronlistfh.R' 'ngraph.R' 'nrrd-io.R'
'pop3d.R' 'potential_synapses.R' 'seglist.R' 'vaa3draw-io.R'
'xform.R' 'xformimage.R' 'xformpoints.R' 'zzz.R'
'variance_estimators.r' 'helper_functions.r'
'indirect_sampling.r' 'known_population.r' 'scale_up.r'
'summation.r' 'networkreporting_package.r' 'rds.r'
'AFNI_IO.R' 'AllGeneric.R' 'AllClass.R' 'Axis.R' 'BinaryIO.R'
'BrainData.R' 'common.R' 'NIFTI_IO.R' 'BrainFileDescriptor.R'
'BrainMetaInfo.R' 'BrainRegion3D.R' 'BrainSlice.R'
'BrainSpace.R' 'SparseBrainVector.R' 'BrainVector.R'
'BrainVolume.R' 'Display.R' 'IndexLookupVolume.R' 'Ops.R'
'RcppExports.R' 'conncomp.R' 'datadoc.R' 'neuroim.R'
'logLik1.R' 'nlmeU-package.R' 'Pwr.R' 'simulateY.R' 'varia.R'
'AceEstimate.R' 'AceLavaanGroup.R' 'AceUnivariate.R'
'CleanSemAceDataset.R' 'ColumnUtilities.R'
'CreateAceEstimate.R' 'CreatePairLinksDoubleEntered.R'
'CreatePairLinksDoubleEnteredWithNoOutcomes.R'
'CreatePairLinksSingleEntered.R' 'CreateSpatialNeighbours.R'
'CreateSubjectTag.R' 'DeFriesFulker.R' 'ExtraOutcomes79Doc.R'
'Links79PairDoc.R' 'Links79PairExpandedDoc.R' 'NlsyLinks.R'
'ReadCsvNlsy79.R' 'RGroupSummary.R' 'ValidateOutcomeDataset.R'
'ValidatePairLinks.R' 'ValidatePairLinksAreSymmetric.R'
'SubjectDetails79Doc.R'
'rmatrix.R' 'nmf-package.R' 'utils.R' 'versions.R'
'algorithmic.R' 'options.R' 'grid.R' 'colorcode.R' 'atracks.R'
'aheatmap.R' 'NMF-class.R' 'transforms.R' 'Bioc-layer.R'
'NMFstd-class.R' 'NMFOffset-class.R' 'registry.R' 'heatmaps.R'
'NMFns-class.R' 'nmfModel.R' 'fixed-terms.R' 'NMFfit-class.R'
'NMFSet-class.R' 'NMFStrategy-class.R' 'NMFSeed-class.R'
'NMFStrategyFunction-class.R' 'NMFStrategyIterative-class.R'
'NMFStrategyOctave-class.R' 'NMFplots.R'
'registry-algorithms.R' 'algorithms-base.R'
'algorithms-brunet.R' 'algorithms-lnmf.R' 'algorithms-lsnmf.R'
'algorithms-pe-nmf.R' 'algorithms-siNMF.R' 'algorithms-snmf.R'
'data.R' 'extractFeatures.R' 'registry-seed.R' 'parallel.R'
'nmf.R' 'rnmf.R' 'run.R' 'seed-base.R' 'seed-ica.R'
'seed-nndsvd.R' 'setNMFClass.R' 'simulation.R' 'tests.R'
aaa.R ifVerboseCat.R sesp-pv-NNT.R achievable.se.sp.R
binom.confint.R NNTintervals.R run.R
'global.R' 'NpdeData.R' 'NpdeRes.R' 'NpdeObject.R'
'func_methods.R' 'func_plots.R' 'main.R' 'zzz.R'
'OIdata-internal.R' 'getTables.R' 'mapvar.R'
'print.htmlTables.R' 'processTable.R' 'rowScrape.R'
'scrapeTable.R' 'stripTags.R'
'0ClassUnion.R' 'cache.R' 'MxBaseNamed.R' 'MxData.R'
'MxDataWLS.R' 'DefinitionVars.R' 'MxReservedNames.R'
'MxNamespace.R' 'MxSearchReplace.R' 'MxFlatSearchReplace.R'
'MxUntitled.R' 'MxAlgebraFunctions.R' 'MxExponential.R'
'MxMatrix.R' 'DiagMatrix.R' 'FullMatrix.R' 'IdenMatrix.R'
'LowerMatrix.R' 'SdiagMatrix.R' 'StandMatrix.R' 'SymmMatrix.R'
'UnitMatrix.R' 'ZeroMatrix.R' 'MxMatrixFunctions.R'
'MxAlgebra.R' 'MxCycleDetection.R' 'MxDependencies.R'
'MxAlgebraConvert.R' 'MxAlgebraTransform.R' 'MxSquareBracket.R'
'MxEval.R' 'MxRename.R' 'MxPath.R' 'MxObjectiveMetaData.R'
'MxRAMMetaData.R' 'MxExpectation.R' 'MxExpectationNormal.R'
'MxExpectationRAM.R' 'MxExpectationLISREL.R' 'MxFitFunction.R'
'MxFitFunctionAlgebra.R' 'MxFitFunctionML.R'
'MxFitFunctionMultigroup.R' 'MxFitFunctionRow.R'
'MxFitFunctionWLS.R' 'MxRAMObjective.R' 'MxLISRELObjective.R'
'MxFIMLObjective.R' 'MxMLObjective.R' 'MxRowObjective.R'
'MxAlgebraObjective.R' 'MxBounds.R' 'MxConstraint.R'
'MxInterval.R' 'MxTypes.R' 'MxCompute.R' 'MxModel.R'
'MxRAMModel.R' 'MxLISRELModel.R' 'MxModelDisplay.R'
'MxFlatModel.R' 'MxMultiModel.R' 'MxModelFunctions.R'
'MxModelParameters.R' 'MxUnitTesting.R' 'MxApply.R' 'MxRun.R'
'MxRunHelperFunctions.R' 'MxSummary.R' 'MxCompare.R'
'MxSwift.R' 'MxOptions.R' 'MxThreshold.R' 'OriginalMx.R'
'MxGraph.R' 'MxGraphviz.R' 'MxDeparse.R' 'MxCommunication.R'
'MxRestore.R' 'MxVersion.R' 'MxPPML.R' 'MxRAMtoML.R' 'MxDiff.R'
'MxErrorHandling.R' 'MxDetectCores.R' 'MxSaturatedModel.R'
'omxBrownie.R' 'omxConstrainThresholds.R' 'omxGetNPSOL.R'
'MxFitFunctionR.R' 'MxRObjective.R' 'MxExpectationStateSpace.R'
'MxExpectationBA81.R' 'MxFitFunctionGREML.R'
'MxExpectationGREML.R' 'MxMI.R' 'MxFactorScores.R'
'MxAvailableOptimizers.R' 'zzz.R'
'bertin.r' 'calc.r' 'data-openrepgrid.r' 'dev-functions.r'
'distance.R' 'double-entry.R' 'export.r' 'gmMain.r' 'import.r'
'measures.r' 'onair.r' 'openrepgrid.r' 'repgrid.r'
'repgrid-basicops.r' 'repgrid-constructs.r'
'repgrid-elements.r' 'repgrid-output.r' 'repgrid-plots.r'
'repgrid-ratings.r' 'rgl-3d.r' 'settings.r' 'utils-import.r'
'utils.r' 'zzz.r'
'DenseMatrix.R' 'InfinitySparseMatrix.R'
'Ops.optmatch.dlist.R' 'Optmatch.R' 'abs.optmatch.dlist.R'
'boxplotMethods.R' 'caliper.R' 'deprecated.R' 'distUnion.R'
'exactMatch.R' 'feasible.R' 'fill.NAs.R' 'fmatch.R'
'fullmatch.R' 'makedist.R' 'match_on.R' 'matched.R'
'matched.distances.R' 'matchfailed.R' 'max.controls.cap.R'
'mdist.R' 'min.controls.cap.R' 'pairmatch.R' 'print.optmatch.R'
'print.optmatch.dlist.R' 'relaxinfo.R' 'scores.R'
'stratumStructure.R' 'subDivStrat.R' 'summary.optmatch.R'
'utilities.R' 'zzz.R' 'zzzDistanceSpecification.R'
workspace.R dict.R ore.R match.R es.R zzz.R
'andalusia.R' 'as.R' 'loca.p.R' 'orloca-package.R'
'plot.loca.p.R' 'plot.zsum.R' 'rloca.p.R' 'split.R'
'zsuml2min.R' 'zsuml2.R' 'zsumlpmin.R' 'zsumlp.R' 'zsummin.R'
'zsum.R'
'auditTrail.R' 'niftiS4.R' 'analyzeS4.R' 'afniS4.R' 'is.R'
'nifti_assign.R' 'coerce.R' 'writeS4.R' 'convert_anlz.R'
'convert_nifti.R' 'cal_img.R' 'drop_img_dim.R' 'hotmetal.R'
'miscellaneous.R' 'plot.R' 'blend.R' 'readS4.R' 'remove.R'
'tim_colors.R' 'transform.R' 'wrappers.R' 'onefile.R'
'voxdim.R' 'anlz_Operators.R' 'Operators.R' 'zero_trans.R'
'aux_file.R' 'cal_max.R' 'cal_min.R' 'descrip.R' 'glmax.R'
'glmin.R' 'pixdim.R' 'qform_code.R' 'scl_inter.R' 'scl_slope.R'
'sform_code.R' 'vox_offset.R' 'bitpix.R' 'data_type.R'
'datatype.R' 'db_name.R' 'dim_.R' 'dim_info.R' 'extender.R'
'extents.R' 'intent_code.R' 'intent_name.R' 'intent_p1.R'
'intent_p2.R' 'intent_p3.R' 'magic.R' 'qoffset_x.R'
'qoffset_y.R' 'qoffset_z.R' 'quatern_b.R' 'quatern_c.R'
'quatern_d.R' 'quaternion.R' 'regular.R' 'session_error.R'
'sizeof_hdr.R' 'slice_code.R' 'slice_duration.R' 'slice_end.R'
'slice_start.R' 'srow_x.R' 'srow_y.R' 'srow_z.R' 'toffset.R'
'xyzt_units.R' 'cal_units.R' 'compressed.R' 'dim_un0.R'
'exp_date.R' 'exp_time.R' 'field_skip.R' 'funused1.R'
'funused2.R' 'funused3.R' 'generated.R' 'hist_un0.R'
'hkey_un0.R' 'omax.R' 'omin.R' 'orient.R' 'origin.R'
'patient_id.R' 'scannum.R' 'smax.R' 'smin.R' 'start_field.R'
'unused1.R' 'verified.R' 'views.R' 'vols_added.R' 'vox_units.R'
'zzz.R'
'osm-descriptors.R' 'source.R' 'osmar-plotting.R'
'as-osmar-elements.R' 'as-osmar.R' 'as-osm.R' 'as-sp.R' 'get.R'
'osmar-subsetting.R' 'osmar-finding.R' 'osmar.R' 'source-api.R'
'source-file.R' 'source-osmosis.R' 'as-osmar-sp.R'
'as-igraph.R'
ouchtree.R ape2ouch.R glssoln.R rmvnorm.R brown.R hansen.R
methods.R paint.R plot.R
'auxClasses.R' 'generics.R' 'obkContacts.R' 'obkSequences.R'
'obkData.R' 'obkData_Accessors.R' 'subset.R' 'obkData_basics.R'
'uniqSequences.R' 'dna2uniqSequences.R' 'make.phylo.R'
'make.attributes.R' 'get.incidence.R' 'phylo2ggphy.R'
'plotggMST.R' 'plotggphy.R' 'plot.R' 'plotIndividualTimeline.R'
'simuEpi.R' 'utils.R' 'plotGeo.R' 'annotatedTreeReader.R'
'importFromJSON.R' 'zzz.R' 'OutbreakTools.R'
global.R ClassU.R ClassV.R ClassW.R ClassV-ClassW.R
classCreator.R codeVerif.R
'pairwise-package.r' 'ftab.R' 'pair.R' 'plot.pair.R'
'summary.pair.R' 'catprob.R' 'pairSE.R' 'plot.pairSE.R'
'summary.pairSE.R' 'pers.R' 'make.incidenz.R' 'plot.pers.R'
'summary.pers.R' 'esc.R' 'ptbis.R' 'grm.R' 'plot.grm.R'
'summary.grm.R' 'pairwise.item.fit.R' 'pairwise.person.fit.R'
'gif.R' 'i.ptb.R' 'i.dummy.R' 'i.polyptb.R' 'i.pvx.R'
'i.pvx.matrix.R' 'i.str.pattern.R' 'i.expscore.R' 'i.GewLL.R'
'i.PersPar.R' 'i.dataprep1.R' 'i.missing_group.R' 'iff.R'
'i.pvx.super.R' 'logLik.pers.R' 'plot.rfa.R' 'rfa.R'
'summary.rfa.R' 'tff.R'
'network.R' 'paleobioDB-package.R' 'pbdb_cache.R'
'pbdb_geographic_functions.R' 'pbdb_querys.R'
'rest_api_tools.R' 'pbdb_rest_api_setup.R'
'pbdb_taxonomic_functions.R' 'pbdb_temporal_functions.R'
'helpers.R' 'labels.R' 'latex_table.R' 'plot.R' 'prettify.R'
'toLatex.R'
p-cmaes.R p-classes.R p-constraints.R p-timeseries.R p-fun.R
p-Utility.R p-MILP.R p-NLP.R p-GNLP.R p-LP.R p-QP.R p-SOCP.R
p-main.R p-methods.R zzz.R
'CrossValidation.R' 'GeneRank.R' 'GraphSVM.R'
'networkBasedSVM.R' 'PathwayMethods.R'
'RecursiveFeatureElimination.R' 'RRFE.R' 'SpanBound.R' 'SVMs.R'
'arrow.R' 'draw.R' 'latent.R' 'manifest.R' 'wall.R'
'fix.pathmox.R' 'fix.techmox.R' 'pathmox-internal.R'
'pathmox.R' 'plot.bootnodes.R' 'plot.treemox.R'
'plot.treemox.pls.R' 'plspmox.R' 'print.bootnodes.R'
'print.treemox.R' 'print.treemox.pls.R' 'techmox.R'
'treemox.boot.R' 'treemox.pls.R' 'get_fix_xexeloa.R'
'get_nominal_split.R' 'get_ordinal_split.R' 'get_pls_basic.R'
'get_xexeloa.R' 'test_sanchez_aluja.R' 'check_pathmox_args.r'
'aggplot.R' 'aggspec.R' 'as.rspec.r' 'coldist.R'
'data-bgandilum.R' 'data-sicalis.R' 'data-teal.R'
'data-ttvertex.R' 'data-vissyst.R' 'explorespec.R' 'getspec.R'
'internal.R' 'pavo-package.R' 'peakshape.R' 'plot.rspec.r'
'plotsmooth.R' 'procspec.R' 'projplot.R' 'segclass.R'
'sensmodel.R' 'spec2rgb.R' 'summary.rspec.R' 'summary.tcs.R'
'tcs.R' 'tcsplot.R' 'tcspoints.R' 'tcsvol.R' 'vismodel.R'
'voloverlap.R' 'merge.rspec.R' 'summary.vismodel.R'
'subset.rspec.R' 'irrad2flux.R'
'cornish_fisher.r' 'edgeworth.r' 'gram_charlier.r' 'moments.r'
'PDQutils.r'
'AI_EM_mixed.R' 'ClusProc.R' 'cnvlmm_plot.R' 'silWidth.R'
'docs.R' 'score_test.R' 'AssoTestProcCS_mix.R'
onattach.R penfit.R breslow.R penalized.R core.R checkinput.R
cvl.R contrasts.R Brent.R plotpath.R cox.R logit.R linear.R
poisson.R
'aaa.r' 'aab.r' 'class-rr1_tables.r' 'class-rror_tables.r'
'class-rrsc_tables.r' 'class-rrsi_tables.r'
'class-rrstr_tables.r' 'class.r' 'generics.r'
'getPFTable_generics.r' 'PF-package.r' 'IDRlsi.r' 'IDRsc.r'
'phiWt.r' 'RRlsi.r' 'RRmh.r' 'RRmpWald.r' 'RRor.r' 'RRotsst.r'
'RRsc.r' 'RRStr.r' 'RRtosst.r' 'rsbWt.r' 'tauWt.r'
'formula.R' 'linear.predictors.R' 'phmm.R' 'pseudoPoisPHMM.R'
'traceHat.R'
'RcppExports.R' 'checkdata.R' 'phylo4-class.R'
'oldclasses-class.R' 'internal-constructors.R'
'phylo4-methods.R' 'formatData.R' 'phylo4d-class.R'
'phylo4d-methods.R' 'getNode-methods.R' 'MRCA-methods.R'
'addData-methods.R' 'ancestors.R' 'phylo4-accessors.R'
'root-methods.R' 'nodeId-methods.R' 'edgeLength-methods.R'
'setAs-methods.R' 'extractTree.R' 'labels-methods.R'
'multiphylo4-class.R' 'pdata.R' 'phylo4d-accessors.R'
'phylobase-package.R' 'phylobase.options.R' 'phylomats-class.R'
'print-methods.R' 'readNCL.R' 'reorder-methods.R'
'shortestPath-methods.R' 'subset-methods.R' 'summary-methods.R'
'tbind.R' 'tdata-methods.R' 'treePlot.R' 'treestruc.R' 'zzz.R'
'ARTP-GE.R' 'data.to.PIGE.R' 'permutation.snp.R'
'PIGE-package.R' 'compute.p.snp.obs.R' 'LR.inter.cat.R'
'LR.inter.cont.R' 'permutation.wrapper.cont.R' 'LR.cont.R'
'permutation.wrapper.cat.inter.R'
'permutation.wrapper.cont.inter.R'
'permutation.wrapper.cat.inter.Y.and.X.R'
'permutation.wrapper.cont.inter.Y.and.X.R'
'permutation.wrapper.cont.Y.and.X.R' 'LR.cont.surv.R'
'LR.inter.cat.surv.R' 'LR.inter.cont.surv.R'
'data.to.list.gene.snp.R'
'utils.R' 'logging.R' 'unitTests.R' 'data.R' 'namespace.R'
'devutils.R' 'package.R' 'options.R' 'is.R' 'registry.R'
'bibtex.R' 'packages.R' 'vignette.R' 'files.R'
'package-extra.R' 'colors.R' 'graphics.R' 'rd.R' 'project.R'
'CLI.R' 'knitr.R' 'repositories.R'
global.r psnCdd.r psnBootstrap.r functionOK.r proto.r ggobi.r
function.r handler.r PKgraphlayout.r PKgraph.r
zzz.R debug.R generic.R designfactors.R keymatrix.R keyring.R
listofkeyrings.R planor.R basep.R randomize.R designkey.R
listofdesignkeys.R planordesign.R makedesignkey.R
'nipals.R' 'plot.nipals.R' 'plot.plsca.R' 'plot.plsreg1.R'
'plot.plsreg2.R' 'plsca.R' 'plsreg1.R' 'plsreg2.R'
'print.nipals.R' 'print.plsca.R' 'print.plsreg1.R'
'print.plsreg2.R' 'interbat.R' 'plot.interbat.R'
'print.interbat.R' 'print.simpls.R' 'print.simplsca.R'
'simpls.R' 'simplsca.R' 'plot.simpls.R' 'plot.simplsca.R'
'plspm.r' 'auxiliar.r' 'check_arguments.r'
'check_specifications.r' 'get_alpha.r' 'get_ave.r'
'get_boots.r' 'get_dummies.r' 'get_effects.r' 'get_generals.r'
'get_gof.r' 'get_inner_summary.r' 'get_manifests.r'
'get_metric.r' 'get_nom_scale.r' 'get_num_scale.r'
'get_ord_scale.r' 'get_path_scheme.r' 'get_paths.r'
'get_plsr1.r' 'get_PLSRdoubleQ.r' 'get_rank.r' 'get_rho.r'
'get_scores.r' 'get_treated_data.r' 'get_unidim.r'
'get_weights.r' 'get_weights_nonmetric.r' 'innerplot.r'
'outerplot.r' 'plot.plspm.r' 'rescale.r' 'summary_plspm.r'
'test_manifest_scaling.r' 'test_null_weights.r'
'unidimensionality.r' 'test_factors.r' 'russett-data.r'
'plspm.fit.r' 'plspm.groups.r' 'test_dataset.r' 'get_GQI.r'
'get_locals_test.r' 'get_scaled_data.r' 'it.reb.r'
'local.models.r' 'print.rebus.r' 'rebus.pls.r' 'rebus.test.r'
'res.clus.r' 'get_PLSR.r' 'get_PLSR_NA.r' 'quantiplot.r'
'plspm-package.r'
'accessors.r' 'bindings.r' 'coercion.r' 'constructor.r'
'dimensions.r' 'events.r' 'linking.r' 'mutalist.R' 'names.r'
'print.r' 'proxy-filter.r' 'selection.r' 'utils.r' 's4.r'
'import.r' 'globals.r'
'create.R' 'holdout.R' 'kernel.R' 'learn.R' 'pnn-package.r'
'data-norms.R' 'guess-category.R' 'guess-probabilities.R'
'perf.r' 'guess.r' 'smooth.R' 'what-else.R'
aaa.R authors.R generics.R eulermultinom.R csnippet.R
pomp-fun.R plugins.R builder.R parmat.R logmeanexp.R
slice-design.R profile-design.R sobol.R bsplines.R sannbox.R
pomp-class.R load.R pomp.R pomp-methods.R rmeasure-pomp.R
rprocess-pomp.R init-state-pomp.R dmeasure-pomp.R
dprocess-pomp.R skeleton-pomp.R dprior-pomp.R rprior-pomp.R
simulate-pomp.R trajectory-pomp.R plot-pomp.R pfilter.R
pfilter-methods.R minim.R traj-match.R bsmc.R bsmc2.R mif.R
mif-methods.R proposals.R pmcmc.R pmcmc-methods.R nlf-funcs.R
nlf-guts.R nlf-objfun.R nlf.R probe.R probe-match.R
basic-probes.R spect.R spect-match.R abc.R abc-methods.R
example.R
'ES.anova.oneway.R' 'ES.chisq.assoc.R' 'ES.chisq.gof.R'
'ES.proportions.R' 'ES.t.one.R' 'ES.t.paired.R' 'ES.t.two.R'
'power.chisq.R' 'power.plot.chisq.R' 'power.t.R'
'power.anova.oneway.R' 'power.proportions.R'
'aaa_all_classes.R' 'AllGenerics.R' 'bootstrap.R'
'bootstrap_p.R' 'checks.R' 'compare_distributions.R'
'ctn_helper_functions.R' 'data_help_files.R' 'def_conexp.R'
'def_conlorm.R' 'def_conpl.R' 'def_disexp.R' 'def_dislnorm.R'
'def_displ.R' 'def_dispois.R' 'def_template.R'
'dist_data_cdf_methods.R' 'estimate_pars.R' 'estimate_xmin.R'
'lines_methods.R' 'plcon.R' 'pldis.R' 'plot_methods.R'
'points_methods.R' 'poweRlaw-package.R' 'show_methods.R'
'as.precintcon.annual.r' 'as.annual.r' 'as.precintcon.daily.r'
'as.daily.r' 'as.precintcon.decade.r' 'as.decade.r'
'precintcon.deciles.analysis.r' 'deciles.r'
'as.precintcon.deciles.r' 'as.deciles.r' 'precintcon.fd.r'
'as.precintcon.fd.r' 'as.fd.r' 'as.precintcon.monthly.r'
'as.monthly.r' 'as.precintcon.seasonal.r' 'as.seasonal.r'
'precintcon.ci.per.year.analysis.r' 'ci.per.year.r'
'precintcon.ci.analysis.r' 'ci.r'
'precintcon.limits.analysis.r' 'limits.r'
'precintcon.pci.analysis.r' 'pci.r' 'precintcon.pn.analysis.r'
'pn.r' 'precintcon.plot.deciles.r' 'pplot.deciles.r'
'precintcon.plot.histogram.r' 'pplot.histogram.r'
'precintcon.plot.lorenz.r' 'pplot.lorenz.r'
'precintcon.plot.pci.r' 'pplot.pci.r' 'precintcon.plot.pn.r'
'pplot.pn.r' 'precintcon.plot.rai.r' 'pplot.rai.r'
'precintcon.plot.spi.r' 'pplot.spi.r' 'precintcon.H.r'
'precintcon.Z.r' 'precintcon.b.r' 'precintcon.classification.r'
'precintcon.gamma.r' 'precintcon.ln.a.r' 'precintcon.max.r'
'precintcon.min.r' 'precintcon.monthly.aggregation.r'
'precintcon.plot.lorenz.ungrouped.r' 'precintcon.pn.r'
'precintcon.r' 'precintcon.r.squared.r'
'precintcon.rai.analysis.r' 'precintcon.read.data.r'
'precintcon.spi.analysis.r'
'precintcon.spi.per.year.analysis.r'
'precintcon.stat.analysis.r' 'precintcon.trend.test.r' 'rai.r'
'read.data.r' 'spi.per.year.r' 'spi.r' 'stat.r'
'GKGamma.R' 'PResiduals-package.R' 'pgumbel.R' 'newPolr.R'
'diagn.R' 'cobot.R' 'cocobot.R' 'cocobot_orm.R' 'condis.R'
'corTS.R' 'countbot.R' 'getCI.R' 'lm.scores.R' 'megabot.R'
'nb.scores.R' 'orm.scores.R' 'poisson.scores.R' 'presid.R'
'print.cobot.R' 'print.cocobot.R'
'prevR-package.r' 'setClass.prevR.r' 'is.prevR.r' 'as.prevR.r'
'onAttach.r' 'isInputOk.prevR.r' 'changeproj.prevR.r'
'colors.prevR.r' 'as.data.frame.prevR.r' 'plot.prevR.r'
'show.prevR.r' 'print.prevR.r' 'summary.prevR.r'
'rings.prevR.r' 'as.SpatialGrid.prevR.r'
'create.boundary.prevR.r' 'export.prevR.r' 'import.dhs.prevR.r'
'point.in.SpatialPolygons.prevR.r'
'NA.outside.SpatialPolygons.prevR.r' 'xyz2dataframe.prevR.r'
'init.exp.model.variogram.r' 'eyefit.prevR.r' 'krige.prevR.r'
'kde.prevR.r' 'Noptim.r' 'theme_prevR.r' 'direct.label_prevR.r'
'quick.prevR.r'
'anova.critpat.R' 'cp.R' 'pams.R' 'pbg.R' 'pc.R'
'plot.critpat.R' 'plot.prof.R' 'pr.R' 'print.critpat.R'
'print.prof.R' 'print.profg.R' 'profileplot.R'
'summary.critpat.R' 'summary.profg.R'
'misc.R' 'browsegWidgetsFiles.R' 'browseQtFiles.R'
'browseRGtk2Files.R' 'browseTclTkFiles.R' 'showGtkWidgetInfo.R'
'xport.reader.R' 'xlsx.reader.R' 'xls.reader.R' 'wsv.reader.R'
'url.reader.R' 'tsv.reader.R' 'systat.reader.R'
'stata.reader.R' 'require.package.R' 'sql.reader.R'
'spss.reader.R' 'rdata.reader.R' 'r.reader.R' 'ppm.reader.R'
'octave.reader.R' 'mtp.reader.R' 'mp3.reader.R' 'file.reader.R'
'epiinfo.reader.R' 'dbf.reader.R' 'db.reader.R' 'csv2.reader.R'
'csv.reader.R' 'arff.reader.R' 'preinstalled.readers.R'
'add.extension.R' 'cache.R' 'cache.name.R' 'cache.project.R'
'clean.variable.name.R' 'create.project.R' 'translate.dcf.R'
'default.config.R' 'get.project.R' 'help.R' 'load.project.R'
'migrate.project.R' 'new.config.R' 'reload.project.R'
'run.project.R' 'show.project.R' 'stub.tests.R'
'test.project.R'
'data-00-selection-from-PD.r' 'data-01-consolidation.r'
'data-02-merging.r' 'data-03-analysis.r' 'zzz.R'
aa2mass.R deisotoper.R de_novo.R findNN_.R findNN.R
fragmentIon.R genMod.R iTRAQ2GroupAnalysis.R lcmsmap.R mdp.R
parentIonMass.R peakplot.R pgImporter.R pgLFQ.R pp.R psm.R
PTM_MarkerFinder.R
registry.R database.R dist.R similarities.R dissimilarities.R
util.R seal.R
'pssm.generate.data.R' 'llikef.R' 'rprog.R' 'rsurv.R'
'startv.R' 'generic_functions.R' 'pssm.R' 'pssm.survivalcurv.R'
'pssm.simulate.R' 'pssm.power.R'
'pssm.noninferiority.boundary.R'
'Abstracts-class.R' 'HGNC-class.R' 'Yearwise.R' 'Genewise.R'
'combineabs.R' 'gene_atomization.R' 'Find_conclusion.R'
'getabs.R' 'getabsT.R' 'gethgnc.R' 'ready.R' 'readabs.R'
'removeabs.R' 'searchabsL.R' 'searchabsT.R' 'sendabs.R'
'subabs.R' 'cleanabs.R' 'word_atomizations.R' 'SentenceToken.R'
'contextSearch.R' 'uniprotfun.R' 'local_uniprotfun.R'
'tdm_for_lsa.R' 'printabs.R' 'pubtator_function.R'
'cos_sim_calc.R' 'cos_sim_calc_boot.R' 'wordscluster.R'
'whichcluster.R' 'wordsclusterview.R' 'find_intro_conc_html.R'
'cluster_words.R' 'get_original_term.R' 'get_original_term2.R'
'input_for_find_intro_conc_html.R' 'xmlreadabs.R'
'xmlword_atomizations.R' 'xmlgene_atomizations.R'
'pubtator_result_list_to_table.R' 'genes_BWI.R' 'BWI.R'
'currentabs_fn.R' 'previousabs_fn.R' 'altnamesfun.R'
'subsetabs.R'
'S.R' 'bind.R' 'bind_or.R' 'c.extracted.R' 'case.R' 'cheat.R'
'utils.R' 'rm_default.R' 'escape.R' 'explain.R' 'grab.R'
'group.R' 'group_or.R' 'is.regex.R' 'pastex.R'
'print.extracted.R' 'print.regexr.R' 'qdapRegex-package.R'
'rm_.R' 'rm_abbreviation.R' 'rm_between.R' 'rm_bracket.R'
'rm_caps.R' 'rm_caps_phrase.R' 'rm_citation.R'
'rm_citation_tex.R' 'rm_city_state.R' 'rm_city_state_zip.R'
'rm_date.R' 'rm_dollar.R' 'rm_email.R' 'rm_emoticon.R'
'rm_endmark.R' 'rm_hash.R' 'rm_nchar_words.R' 'rm_non_ascii.R'
'rm_non_words.R' 'rm_number.R' 'rm_percent.R' 'rm_phone.R'
'rm_postal_code.R' 'rm_repeated_characters.R'
'rm_repeated_phrases.R' 'rm_repeated_words.R' 'rm_tag.R'
'rm_time.R' 'rm_title_name.R' 'rm_url.R' 'rm_white.R'
'rm_zip.R' 'validate.R'
'alpha_diversity.R' 'distance_matrix.R' 'otu_table.R'
'sample_mapping.R' 'blast.R' 'otu_mapping.R' 'qiimer.R'
'biom.R'
'RcppExports.R' 'dictionaries.R' 'collocations.R'
'converters.R' 'corpus.R' 'dataDocs.R' 'describe-texts.R'
'dfm-classes.R' 'dfm-main.R' 'dfm-methods.R' 'distance.R'
'encoding.R' 'kwic.R' 'lexdiv.R' 'ngrams.R' 'plots.R'
'quanteda-package.R' 'readability.R' 'resample.R' 'settings.R'
'stopwords.R' 'syllables.R' 'textfile.R' 'textmodel-ca.R'
'textmodel-generics.R' 'textmodel-wordfish.R'
'textmodel-wordscores.R' 'toLower.R' 'tokenize.R' 'wordstem.R'
'Class-BootPos.R' 'generics.R' 'aux-functions.R'
'Class-QSpecQuantity.R' 'Class-FreqRep.R' 'Class-ClippedFT.R'
'Class-QuantileSD.R' 'Class-IntegrQuantileSD.R'
'Class-Weight.R' 'Class-KernelWeight.R' 'Class-MovingBlocks.R'
'Class-QRegEstimator.R' 'Class-QuantilePG.R'
'Class-SmoothedPG.R' 'Class-SpecDistrWeight.R' 'RcppExports.R'
'data.R' 'deprecated.R' 'kernels.R' 'models.R'
'quantspec-package.R'
'R2admb-package.R' 'base-funs.r' 'check_section.R' 'do_admb.r'
'mcmc.control.r' 'plot.admb_hist.r' 'read-funs.r' 'readfit.R'
'run.control.r' 'setup_admb.R' 'std_accessor.r'
'utility-funs.R' 'write-funs.r' 'extract_gradient.r'
'find_large_cor.r' 'get_version.r'
functions.R logical.R factor.R ordered.R discrete.R
continuous.R rtlu.R rtlbDisplay.R rtlb.R
'export.R' 'graphs.R' 'init.R' 'ius2008.R' 'print.methods.R'
'rapport.R' 'rp_helpers.R' 'stat_helpers.R' 'stats_univar.R'
'tables.R' 'template.R' 'utils.R' 'tpl-check.R' 'inputs.R'
'misc.R' 'deprecated.R'
'bef.options.R' 'zzz.R' 'rbefdata-package.R'
'bef.portal.get.dataset.R' 'bef.portal.get.proposal.R'
'bef.portal.get.metadata.R' 'bef.portal.get.keywords.R'
'bef.portal.get.categories.R' 'bef.portal.upload.R'
'bef.portal.api.R' 'bef.mediawiki.api.R' 'bef.tematres.api.R'
'helper.R' 'bef.portal.get.attachments.R'
'rbefdata-deprecated.R' 'rbefdata-defunct.R'
'bef.portal.vizalize.R'
'zzz.R' 'rChoiceDialogs-package.R' 'rFileChooser.R'
'rListChooser.R' 'rMiscFunctions.R'
'accepted.R' 'as.clindex.data.frame.R' 'as.data.frame.R'
'climdex.data.frame.R' 'ks.test.R' 'RClimMAWGEN-package.R'
'temperature_max.R' 'temperature_min.R' 'wilcox.test.R'
'guiparts-aaa.R' 'guiparts-checkboxes.R'
'guiparts-radioboxes.R' 'guiparts-textfield.R'
'guiparts-textfields.R' 'guiparts-toolbox.R'
'guiparts-variableboxes.R' 'package.R' 'plot-aaa.R'
'plot-pie.R' 'util-gettextKmg2.R' 'util-ggsaveKmg2.R'
'data-aaa.R' 'plot-discretebar.R' 'plot-hist.R' 'plot-box.R'
'plot-dist.R' 'plot-scatter.R' 'plot-qq.R' 'plot-contour.R'
'plot-scattermat.R' 'plot-km.R' 'plot-factorise.R'
'plot-line.R' 'util-nonFactors.R' 'zzz.R' 'theme-simple.R'
'theme-natrisk.R' 'theme-natrisk21.R' 'theme-natriskbg.R'
'theme-wsj2.R'
'utils.R' 'package.R' 'interface.R' 'Octave-class.R'
'OctaveFunction-class.R' 'base-functions.R' 'eval.R' 'random.R'
'config-vars.R' 'config.R'
aclassesEnums.R bitClasses.R xbits.R base64.R binary.S
classes.S curl.S curlAuthConstants.R curlEnums.R curlError.R
curlInfo.S dynamic.R form.S getFormParams.R getURLContent.R
header.R http.R httpError.R httpErrors.R iconv.R info.S mime.R
multi.S options.S scp.R support.S upload.R urlExists.R zclone.R
zzz.R
'kernelwts.R' 'DCdensity.R' 'IKbandwidth.R' 'RDestimate.R'
'plot.RD.R' 'summary.RD.R' 'rdd-package.R' 'print.RD.R'
'RDML.types.R' 'RDML.asserts.R' 'RDML.R' 'RDML.AsDendrogram.R'
'RDML.AsTable.R' 'RDML.GetFData.R' 'RDML.Merge.R'
'RDML.SetFData.R' 'RDML.init.R' 'functional_wrappers.R'
'download_dryadmetadata.r' 'download_url.r' 'dryad_getfile.r'
'getalldryad_metadata.r' 'search_dryad.r' 'totimp.r'
'totimp_dryad.r' 'dr_identify.r' 'dr_listidentifiers.r'
'dr_listmetadataformats.r' 'dr_listsets.r'
'readGenalex.R' 'checkNullAlleles.R' 'readGenalex-readwrite.R'
'readGenalex-Genepop.R' 'readGenalex-data.R'
'readGenalex-deprecated.R' 'readGenalex-genetics.R'
'readGenalex-package.R' 'readGenalex-pegas.R'
'alternation.R' 'regex-methods.R' 'backreferences.R'
'capture.R' 'internal.R' 'grouping-and-repetition.R'
'constants.R' 'class-groups.R' 'concatenation.R'
'compound-constants.R' 'escape_special.R' 'datetime.R'
'lookaround.R' 'misc.R' 'number_range.R' 'regex-package.R'
'unicode-groups.R' 'unicode.R' 'zzz.R'
register-S3-classes.r RLBigData-classes.r RLResult-class.r
accessor-methods.r evt.r classify.r classifySupv-methods.r
genSamples.r strcmp.r compare.r getPairs.r summary.r
em-methods.r internals.r em.r mygllm.r epilink-methods.r
phonetics.r onAttach.r getPairs-methods.r serialization.r
tools.r stochastic.r
'Omegas.R' 'af.R' 'amc.R' 'ccb.fpc.R' 'decomp.R' 'decomp2d.R'
'decomp3d.R' 'fbps.R' 'fgam.R' 'fosr.R' 'fosr.perm.R'
'fosr.perm.fit.R' 'fosr.perm.test.R' 'fosr2s.R' 'fpca.sc.R'
'fpca.face.R' 'fpcr.R' 'fpcr.setup.R' 'lf.R' 'lofocv.R'
'lpeer.R' 'lpfr.R' 'lw.test.R' 'osplinepen2d.R' 'peer.R'
'pffr-ff.R' 'pffr-ffpc.R' 'pffr-methods.R' 'pffr-pcre.R'
'pffr-robust.R' 'pffr-sff.R' 'pffr-utilities.R' 'pffr.R'
'pfr.R' 'plot.fosr.R' 'plot.fosr.perm.R' 'plot.fpcr.R'
'plot.lpeer.R' 'plot.peer.R' 'predict.fgam.R' 'predict.wnet.R'
'pspline.setting.R' 'pwcv.R' 'reconstr.R' 'reconstr2d.R'
'reconstr3d.R' 'rlrt.pfr.R' 'fpca2s.R' 'fpca.ssvd.R'
'vis.fgam.R' 'wcr.R' 'wcr.perm.R' 'wnet.R' 'wnet.perm.R'
'parse.predict.pfr.R' 'postprocess.pfr.R' 'predict.pfr.R'
'preprocess.pfr.R' 'wUtil.R' 'plot.wnet-and-plot.wcr.R'
'irreg2mat.R'
'decomp.R' 'decomp2d.R' 'decomp3d.R' 'reconstr.R'
'reconstr2d.R' 'reconstr3d.R' 'wcr.R' 'wcr.perm.R' 'wnet.R'
'wnet.perm.R' 'wUtil.R' 'plot.wnet-and-plot.wcr.R' 'Data2wd.R'
'wd2fhat.R'
'correlation.r' 'element.r' 'freq.r' 'funs.r' 'na.r' 'parse.r'
'rbind.r' 'remix.r' 'summarize.by.r' 'summarize.r' 'survival.r'
'table.r' 'tabular.r' 'test.r'
'CA.R' 'clean.R' 'CW.R' 'delete.R' 'doc_temp.R' 'GQ.R' 'LL.R'
'mgsub.R' 'new_report.R' 'pad.R' 'paste2.R' 'presentation.R'
'reducer.R' 'reports-package.R' 'scrubber.R' 'strWrap.R'
'templates.R' 'tex2docx.R' 'Trim.R' 'unblanker.R'
'update_bib.R' 'wc.R' 'wheresPandoc.R' 'install_pandoc.R'
'repo2github.R' 'US.R' 'reveal.js.R' 'genX.R' 'genXtract.R'
'html5.R'
'utils.R' 'eutil-error.R' 'eutil.R' 'ecitmatch.R'
'parse-params.R' 'efetch.R' 'egquery.R' 'einfo.R' 'elink.R'
'epost.R' 'esearch.R' 'espell.R' 'esummary.R' 'parse-docsum.R'
'reutils-package.R' 'zzz.R'
'aaa.R' 'utils.R' 'escape.R' 'capture.R' 'character_class.R'
'counts.R' 'lookarounds.R' 'match.R' 'or.R' 'rex-mode.R'
'rex.R' 'shortcuts.R' 'wildcards.R' 'zzz.R'
'utils.R' 'url.R' 'auth.R' 'request.R' 'get-data.R'
'convert.R' 'mgmt.R' 'accounts.R' 'custom-dims.R'
'custom-mets.R' 'custom-sources.R' 'experiments.R' 'filters.R'
'query.R' 'profiles.R' 'report.R' 'ga.R' 'firstdate.R'
'goals.R' 'mcf.R' 'metadata.R' 'package.R' 'rt.R' 'segments.R'
'shiny.R' 'unsampled.R' 'webproperties.R' 'zzz.R'
AAA.R options.R rgrass.R bin_link.R vect_link.R initGRASS.R
xml1.R
'flatten.xbalresult.R' 'harmonic.R' 'naImpute.R' 'plot.xbal.R'
'print.xbal.R' 'utils.R' 'xBalanceEngine.R'
'xBalance.find.goodstrats.R' 'xBalance.makeMM.R'
'xBalance.makepooledsd.R' 'xBalance.make.stratwts.R'
'xBalance.R' 'xtable.xbal.R'
readJSON.R asVars.R isValid.R json.R simpleHandler.R stream.R
'app_RLum.R' 'jscolor.R' 'tooltip.R' 'popover.R' 'RLumShiny.R'
'zzz.R'
rmgarch-var.R rmgarch-functions.R rmgarch-classes.R
rmgarch-ica.R rmgarch-series.R rmgarch-mmean.R
gogarch-classes.R gogarch-distributions.R gogarch-main.R
gogarch-methods.R rdcc-classes.R rdcc-main.R rdcc-likelihoods.R
rdcc-plots.R fdcc-likelihoods.R fdcc-main.R rdcc-methods.R
rdcc-mdistributions.R rdcc-postestimation.R rdcc-solver.R
copula-classes.R copula-distributions.R copula-likelihoods.R
copula-solver.R copula-fn.R copula-transformations.R
copula-main.R copula-postestimation.R copula-methods.R
rmgarch-tests.R rmgarch-scenario.R zzz.R
'CI.R' 'STDERR.R' 'group.UCL.R' 'group.CI.R' 'group.STDERR.R'
'lr.glover.R' 'multiplot.R' 'panel.circle.R' 'rounder.R'
'rsi.R' 'summarySE.R'
'global.R' 'Strategy.R' 'Model.R' 'Parameter.R'
'GaussianParameter.R' 'MixmodResults.R' 'MixmodDAResults.R'
'MultinomialModel.R' 'GaussianModel.R' 'MultinomialParameter.R'
'Mixmod.R' 'CompositeModel.R' 'CompositeParameter.R'
'MixmodCluster.R' 'MixmodLearn.R' 'Rmixmod.R' 'MixmodPredict.R'
'zzz.R'
'mysql.R' 'driver.R' 'connection.R' 'data-type.R' 'default.R'
'escaping.R' 'result.R' 'extension.R' 'is-valid.R' 'table.R'
'transaction.R'
'AllGenerics.R' 'ng_data.R' 'ng_graph.R' 'ng_path.R'
'ng_image.R' 'SettingClasses.R' 'NavGraphHandler.R'
'GraphDisplay.R' 'Visualization.R' 'Visualization2D.R'
'Viz2D_Axis.R' 'Viz2D_tk2d.R' 'FunctionNavGraph.R'
'graphtools.R' 'navGraph.R' 'scagNav.R' 'zzz.R'
'classes.R' 'add_basic_meta.R' 'add_characters.R' 'add_meta.R'
'add_namespaces.R' 'add_trees.R' 'character_classes.R'
'concatenate_nexml.R' 'get_basic_metadata.R' 'get_characters.R'
'get_metadata.R' 'get_namespaces.R' 'get_rdf.R' 'get_taxa.R'
'get_taxa_meta.R' 'get_trees.R' 'internal_get_node_maps.R'
'internal_isEmpty.R' 'internal_name_by_id.R'
'internal_nexml_id.R' 'meta.R' 'nexmlTree.R' 'nexml_add.R'
'nexml_get.R' 'nexml_methods.R' 'nexml_publish.R'
'nexml_read.R' 'nexml_validate.R' 'nexml_write.R' 'simmap.R'
'taxize_nexml.R'
'ghq.R' 'AllClass.R' 'rlmer.R' 'accessors.R' 'fromLme4.R'
'DAS-scale.R' 'fit.effects.R' 'helpers.R' 'AllGeneric.R'
'lmer.R' 'mutators.R' 'psiFunc2.R' 'plot.R'
AllGenerics.R AllClasses.R show-methods.R rococo.R
rococo.test-methods.R gauss.cor.R gauss.cor.test-methods.R
'help.R' 'estimators.R' 'preliminary.R' 'parameterizations.R'
'distributions.R' 'kappa.R' 'regions.R' 'RcppExports.R'
'plot.R' 'grid-search.R' 'bayes.R' 'primatives.R' 'robust.R'
'RcppExports.R' 'alias.R' 'description.R' 'family.R'
'inherit-params.R' 'minidesc.R' 'object-defaults.R'
'object-from-call.R' 'object.R' 'order-params.R'
'parse-preref.R' 'parse-registry.R' 'parse.R' 'rc.R'
'rd-escape.R' 'rd-file-api.R' 'rd-parse.R' 'rd-tag-api.R'
'roclet-collate.R' 'roclet-namespace.R' 'roclet-rd.R'
'roclet-vignette.R' 'roclet.R' 'roxygen.R' 'roxygenize.R'
's3.R' 'safety.R' 'source.R' 'template.R' 'topic-name.R'
'topo-sort.R' 'usage.R' 'util-locale.R' 'utils.R'
'init.R' 'classes.R' 'fit.R' 'drm.R' 'nrm.R' 'mcm.R' 'grm.R'
'LSAT.R' 'sample.R' 'dataframe.R' 'diagnose.R' 'science.R'
'kct.R' 'openmx.R' 'flexmirt.R' 'util.R'
'bgc.R' 'checkArgs.R' 'feat.R' 'hmm.R' 'listOfLists.R' 'msa.R'
'optim.R' 'phastCons.R' 'phyloFit.R' 'phyloP.R' 'plot.R'
'rphast.R' 'treeModel.R' 'trees.R' 'zzz.R'
S4R.R zzz.R PostgreSQLSupport.R dbObjectId.R PostgreSQL.R
'gridtools.R' 'RSAGA-core.R' 'RSAGA-modules.R' 'RSAGA-utils.R'
'RSAGA-package.R'
Class-SDMXSchema.R Class-SDMXType.R Class-SDMXStructureType.R
Class-SDMXHeader.R Class-SDMXFooterMessage.R Class-SDMXFooter.R
Class-SDMX.R Class-SDMXGenericData.R Class-SDMXCompactData.R
Class-SDMXUtilityData.R Class-SDMXStructureSpecificData.R
Class-SDMXMessageGroup.R Class-SDMXConcept.R
Class-SDMXConceptScheme.R Class-SDMXConcepts.R Class-SDMXCode.R
Class-SDMXCodelist.R Class-SDMXCodelists.R
Class-SDMXDimension.R Class-SDMXTimeDimension.R
Class-SDMXPrimaryMeasure.R Class-SDMXAttribute.R
Class-SDMXComponents.R Class-SDMXDataStructure.R
Class-SDMXDataStructures.R Class-SDMXDataStructureDefinition.R
SDMXSchema-methods.R SDMXType-methods.R
SDMXStructureType-methods.R SDMXHeader-methods.R
SDMXFooterMessage-methods.R SDMXFooter-methods.R SDMX-methods.R
SDMXGenericData-methods.R SDMXCompactData-methods.R
SDMXUtilityData-methods.R SDMXStructureSpecificData-methods.R
SDMXMessageGroup-methods.R SDMXConcept-methods.R
SDMXConceptScheme-methods.R SDMXConcepts-methods.R
SDMXCode-methods.R SDMXCodelist-methods.R
SDMXCodelists-methods.R SDMXDimension-methods.R
SDMXTimeDimension-methods.R SDMXPrimaryMeasure-methods.R
SDMXAttribute-methods.R SDMXComponents-methods.R
SDMXDataStructure-methods.R SDMXDataStructures-methods.R
SDMXDataStructureDefinition-methods.R readSDMX.R
'errorHandler.R' 'remoteDriver.R' 'selKeys-data.R' 'util.R'
'webElement.R' 'zzz.R'
'zzz.R' 'helper.R' 'sampling.R' 'models.R' 'rsig.R'
'evaluate.R' 'rsig.all.R'
'ConnectionExtensions.R' 'Connection.R' 'Driver.R' 'Connect.R'
'ConnectionRead.R' 'ConnectionTransactions.R'
'ConnectionWrite.R' 'Constants.R' 'Escaping.R' 'Result.R'
'Object.R' 'Summary.R' 'Utils.R' 'datasetsDb.R' 'dbGetInfo.R'
'extensions.R' 'zzz.R'
'DBDriver.R' 'DBConnection.R' 'DBResult.R' 'RSQLServer.R'
'Utils.R' 'onLoad.R'
'guessFileFormat.R' 'makeFileFormat.R' 'rtapeAdd.R'
'rtape_apply.R' 'rtapeAsList.R' 'rtapeFilter.R' 'rtapeLapply.R'
'rtapeRerecord.R' 'shared.R'
'rtematres.api.base.R' 'rtematres.api.convenience.R'
'rtematres.api.helpers.R' 'rtematres.options.R'
'rtematres-package.R' 'rtematres.helpers.R' 'zzz.R'
rugarch-imports.R rugarch-cwrappers.R rugarch-solvers.R
rugarch-lossfn.R rugarch-distributions.R rugarch-kappa.R
rugarch-helperfn.R rugarch-numderiv.R rugarch-series.R
rugarch-startpars.R rugarch-tests.R rugarch-armafor.R
rugarch-graphs.R rugarch-classes.R rugarch-sgarch.R
rugarch-csgarch.R rugarch-fgarch.R rugarch-egarch.R
rugarch-gjrgarch.R rugarch-aparch.R rugarch-igarch.R
rugarch-mcsgarch.R rugarch-realgarch.R rugarch-multi.R
rugarch-plots.R rugarch-rolling.R rugarch-uncertainty.R
rugarch-bootstrap.R rugarch-methods.R rugarch-benchmarks.R
arfima-classes.R arfima-multi.R arfima-main.R arfima-methods.R
zzz.R
unuran_distr.R unuran_cont.R unuran_discr.R unuran_cmv.R
Runuran.R universal.R distributions.R deprecated.R zzz.R
AllGenerics.R AllClasses.R methods-pedigree.R methods-trio.R
methods-RVsharingProb.R functions.R approx2_functions.R
ped2trio.R PFU.R rare_variant_sharing_v3.R zzz.R
'ryouready-package.r' 'association_measures.r' 'utils.r'
'collapse_response_set.R' 'data-doc.R'
'cumulants.r' 'dnbeta.r' 'dneta.r' 'dnf.r' 'dnt.r' 'kprime.r'
'lambdap.r' 'moments.r' 'prodchisqpow.r' 'proddnf.r'
'runExample.r' 'sadists.r' 'sumchisqpow.r' 'sumlogchisq.r'
'upsilon.r' 'utils.r'
global.R SaemixData.R SaemixModel.R SaemixRes.R SaemixObject.R
main.R zzz.R
zzz.R transparentColorBase.R initRandomSeed.R boltDimensions.R
bboxCheck.R bboxToPoly.R bboxSum.R checkStemDimensions.R
defStemEnv.R transfMatrix.R spCircle.R sampleLogs.R
sampleTrees.R sampSurfClassUnions.R chainsawSliver.R
StemClass.R StemContainerClass.R TractClass.R
TractConstructors.R downLog.R downLogs.R standingTree.R
standingTrees.R ArealSamplingClass.R
ArealSamplingConstructors.R InclusionZoneClass.R
InclusionZoneConstructors.R izContainer.R
izContainerConstructors.R InclusionZoneGridClass.R
InclusionZoneGridConstructors.R izGridConstruct.R mirage.R
sampSurfClass.R sampSurfConstructors.R hist.R plotStem.R
plotStemContainer.R plotArealSampling.R plotInclusionZone.R
plotInclusionZoneGrid.R plotTract.R plotizContainer.R
plotSampSurf.R showArealSampling.R showInclusionZone.R
showInclusionZoneGrid.R showStem.R showTract.R showSampSurf.R
summaryStem.R summaryStemContainer.R summaryArealSampling.R
summaryInclusionZone.R summaryIZContainer.R
summaryInclusionZoneGrid.R summaryTract.R summarySampSurf.R
setAsStem.R setAsizContainer.R bbox.R perimeter.R area.R
heapIZ.R gridCellEnhance.R plot3D.R clipStemsToTract.R
monteClass.R monteConstructors.R summaryMonte.R showMonte.R
histMonte.R horizontalLineSampling.R criticalHeightSampling.R
antitheticCHS.R taperInterpolate.R getID.R segmentVolume.R
MonteCarloContainer.R MonteCarloClass.R
MonteCarloConstructors.R MonteCarloProxy.R showMonteCarlo.R
summaryMonteCarlo.R plotMonteCarlo.R
horizontalPointMCSampling.R
'agpop.R' 'agsrs.R' 'agstrat.R' 'anthrop.R' 'anthsrs.R'
'anthuneq.R' 'audit.R' 'books.R' 'certify.R' 'coots.R'
'counties.R' 'divorce.R' 'golfsrs.R' 'htpop.R' 'htsrs.R'
'htstrat.R' 'journal.R' 'lahiri.design.R' 'measles.R' 'ncvs.R'
'nybight.R' 'otters.R' 'ozone.R' 'samples.R' 'seals.R'
'selectrs.R' 'statepop.R' 'statepps.R' 'syc.R' 'teachers.R'
'teachmi.R' 'teachnr.R' 'winter.R'
'0classes.r' 'addNoise.r' 'aux_functions.r' 'dataGen.r'
'dRisk.R' 'dRiskRMD.R' 'dUtility.R' 'freqCalc.r'
'globalRecode.R' 'GUIfunctions.R' 'indivRisk.R'
'LLmodGlobalRisk.R' 'LocalRecProg.R' 'localSupp.R'
'localSupp2.R' 'localSupp2Wrapper.R' 'localSuppression.R'
'mdav.R' 'measure_risk.R' 'methods.r' 'microaggregation.R'
'plot.localSuppression.R' 'plotMicro.R' 'pram.R'
'print.freqCalc.R' 'print.indivRisk.R'
'print.localSuppression.R' 'print.micro.R' 'rankSwap.R'
'report.R' 'shuffle.R' 'suda2.R' 'summary.freqCalc.R'
'summary.micro.R' 'summary.pram.r' 'swappNum.R'
'timeEstimation.R' 'topBotCoding.R' 'valTable.R' 'zzz.R'
'printFunctions.R' 'mafast.R' 'maG.R' 'show_sdcMicroObj.R'
'aux_functions.R' 'plot.indivRisk.r' 'sdcGUI.r' 'zzz.r'
'HelpHelperFunctions.R'
class.R def.R graph2catnet.R dags.R probs.R joint.prob.R
marginal.prob.R samples.R loglik.R entropy.R categor.R dist.R
plot.R find.R search.R eval.R predict.R chisq.R histo.R
cluster.R bif.R xdsl.R quant.R expres.r zzz.R
'Class-Pattern.R' 'Class-PatternOrCharacter.R'
'Class-Searchables.R' 'Class-Searchable.R'
'Class-SearchableOrPattern.R' 'boundary.R' 'case.R' 'coll.R'
'detect.R' 'extract.R' 'fixed.R' 'invert.R' 'is.string.R'
'regex.R' 'reverse.lookup.R' 'searchable-package.R' 'std.R'
'stri_detect_std.R' 'zzz.R'
seismicRoll.R RcppExports.R findOutliers.R roll_hampel.R
roll_mean.R roll_median.R roll_sd.R roll_stalta.R
'lambda_sequence.R' 'prepare_args.R' 'sgl_fit.R'
'sgl_config.R' 'sgl_predict.R' 'sgl_cv.R' 'sgl_subsampling.R'
'sgl_navigate.R'
'distributions.r' 'estimation.r' 'SharpeR.r' 'sr.r' 'tests.r'
'unified.r' 'utils.r'
'app.R' 'bootstrap-layout.R' 'map.R' 'globals.R' 'utils.R'
'bootstrap.R' 'cache.R' 'fileupload.R' 'stack.R' 'graph.R'
'hooks.R' 'html-deps.R' 'htmltools.R' 'image-interact-opts.R'
'image-interact.R' 'imageutils.R' 'jqueryui.R'
'middleware-shiny.R' 'middleware.R' 'priorityqueue.R'
'progress.R' 'react.R' 'reactive-domains.R' 'reactives.R'
'render-plot.R' 'run-url.R' 'server.R' 'shiny.R' 'shinyui.R'
'shinywrappers.R' 'showcase.R' 'slider.R' 'tar.R' 'timer.R'
'update-input.R'
'init.R' 'ace-editor.R' 'js-quote.R' 'update-ace-editor.R'
'get-ace-modes.R' 'get-ace-themes.R'
'Announcement.R' 'ApplicationCharge.R' 'Article.R' 'Asset.R'
'Blog.R' 'CarrierService.R' 'Checkout.R' 'Collect.R'
'Comment.R' 'Country.R' 'CustomCollection.R' 'Customer.R'
'CustomerGroup.R' 'Event.R' 'Fulfillment.R'
'FulfillmentService.R' 'Location.R' 'MetaField.R' 'Order.R'
'OrderRisks.R' 'Page.R' 'Product.R' 'ProductImage.R'
'ProductVariant.R' 'Province.R' 'RecurringApplicationCharge.R'
'Redirect.R' 'Refund.R' 'ScriptTag.R' 'Shop.R' 'private.R'
'Webhook.R' 'Transaction.R' 'Theme.R' 'SmartCollection.R'
'ShopifyShop.R' 'shopfyr-package.R'
'sig.R' 'list_sigs.R' 'as.R' 'is.R' 'sig_report.R'
'indexing.R' 'utils.R' 'write_sigs.R'
'customerAcquisition.R' 'acquisitionRetention.R'
'customerChurn.R' 'customerWinBack.R'
'customerRetentionDemographics.R'
'customerRetentionLifetimeDuration.R'
'customerRetentionTransactions.R'
'coefsmcure.R' 'em.R' 'plotpredictsmcure.R' 'predictsmcure.R'
'printsmcure.R' 'smcure.R' 'smrank.R' 'smsurv.R'
'fWilson.R' 'fFitKernelWeights.R' 'fCreateCashflowMatrix.R'
'fCreateTimeVector.R' 'fCreateKernelMatrix.R'
'fFitSmithWilsonYieldCurve.R' 'fFitYieldCurve.R'
'fFitSmithWilsonYieldCurveToInstruments.R' 'Utilities.R'
'SmithWilsonYieldCurve.R' 'plot.SmithWilsonYieldCurve.R'
'lines.SmithWilsonYieldCurve.R'
'points.SmithWilsonYieldCurve.R'
'onLoad.R' 'smoother-package.R' 'functions.R'
'smth-gaussian.R' 'smth.R'
'UNdata.R' 'anorexia.R' 'birth.rates.R' 'crime2005.R'
'fertility.gdp.R' 'fl.crime.R' 'house.selling.price.2.R'
'mental.impairment.R' 'oecd.data.R' 'smss-package.R'
'statewide.crime.2.R' 'student.survey.R' 'utilities.R'
'house.selling.price.R' 'inc.ed.race.13p1.R' 'income.credit.R'
'us.pop.size.R' 'zagat.R'
'softclassval.R' 'make01.R' 'hardclasses.R' 'unittestdata.R'
'dev.R' 'factor2matrix.R' 'init.R' 'nsamples.R' 'postproc.R'
'operators.R' 'performance.R' 'unittests.R'
'package.R' 'datasets.R' 'data.lib.R' 'support.lib.R'
'solar.lib.R' 'assoc.lib.R' 'classSolarAssoc.R'
'classSolarPolygenic.R' 'plot.lib.R' 'polygenic.lib.R'
'solarAssoc.R' 'solarPolygenic.R' 'files.lib.R'
'classSolarMultipoint.R' 'solarMultipoint.R' 'multipoint.lib.R'
'transforms.lib.R'
'counting_function.R' 'f_ackley.R' 'f_bbob2009.R' 'f_branin.R'
'f_discus.R' 'f_double_sum.R' 'f_ellipsoidal.R'
'f_goldstein_price.R' 'f_griewank.R' 'f_kotancheck.R'
'f_mexican_hat.R' 'f_rastrigin.R' 'f_rosenbrock.R' 'f_sphere.R'
'f_weierstrass.R' 'generics.R' 'is_soo_function.R'
'persp3d_soo_function.R' 'plot_soo_function.R'
'print_soo_function.R' 'rotate_parameter_space.R'
'check-arguments.r' 'sortinghat-package.r'
'helper-partition-data.r' 'helper-which-min.r'
'simdata-normal.r' 'simdata-uniform.r' 'covariance-matrices.r'
'helpers.r' 'simdata-t.r' 'simdata-contaminated-normal.r'
'simdata-guo.r' 'simdata-friedman.r' 'simdata-wrapper.r'
'errorest-632.r' 'errorest-632plus.r' 'errorest-apparent.r'
'errorest-bcv.r' 'errorest-boot.r' 'errorest-cv.r'
'errorest-loo-boot.r' 'errorest-wrapper.r'
Constants.R Class-OWS.R Class-GML.R Class-SWE.R Class-OM.R
Class-SA.R Class-OGC.R Class-SOS.R Class-SML.R
Generic-methods.R OWS-methods.R OWS-methods-parsing.R
SOS-methods-parsing.R OM-methods.R OM-methods-coercion.R
OM-methods-parsing.R SA-methods.R GML-methods.R SWE-methods.R
SML-methods.R GML-methods-parsing.R SA-methods-parsing.R
SWE-methods-parsing.R OGC-methods.R SOS-methods-accessor.R
PrintShowStructureSummmary-methods.R SOS-methods-util.R
SOS-methods.R SOS-methods-plotting.R SOS-methods-coercion.R
SML-methods-util.R SML-methods-coercion.R Defaults.R
'NPC.R' 'PermSpace.R' 'RankResults.R' 'SOUP.R'
'multiplicity.R' 'simpleAD.R' 'simpleHotelling.R'
'simpleMeanDiff.R' 'simpleTtest.R' 'strataAD.R'
'strataLmCoef.R' 'strataMeanDiff.R' 'strataTtest.R' 't2p.R'
'utilities.R' 'PValueMat.R' 'SoupObject.R' 'rankingRule.R'
'iterNPC.r'
bpy.colors.R AAA.R Class-CRS.R CRS-methods.R Class-Spatial.R
Spatial-methods.R projected.R Class-SpatialPoints.R
SpatialPoints-methods.R Class-SpatialPointsDataFrame.R
SpatialPointsDataFrame-methods.R Class-GridTopology.R
Class-SpatialGrid.R Class-SpatialGridDataFrame.R
Class-SpatialLines.R SpatialLines-methods.R
Class-SpatialLinesDataFrame.R SpatialLinesDataFrame-methods.R
Class-SpatialPolygons.R Class-SpatialPolygonsDataFrame.R
SpatialPolygons-methods.R SpatialPolygonsDataFrame-methods.R
GridTopology-methods.R SpatialGrid-methods.R
SpatialGridDataFrame-methods.R SpatialPolygons-internals.R
point.in.polygon.R SpatialPolygons-displayMethods.R zerodist.R
image.R stack.R bubble.R mapasp.R select.spatial.R gridded.R
asciigrid.R spplot.R over.R spsample.R recenter.R dms.R
gridlines.R spdists.R rbind.R flipSGDF.R chfids.R loadmeuse.R
compassRose.R surfaceArea.R spOptions.R subset.R disaggregate.R
sp_spat1.R merge.R aggregate.R
Class-xts.R Class-ST.R Class-STFDF.R Class-STSDF.R
Class-STIDF.R Class-STTDF.R interval.R endtime.R ST-methods.R
STFDF-methods.R STSDF-methods.R STIDF-methods.R STTDF-methods.R
apply.R coerce.R stconstruct.R plot.R stplot.R timematch.R
over.R aggregate.R eof.R bind.R na.R raster.R tgrass.R
stinteraction.R
all_classes.R common.R moran.R SpawML.R Descriptives.R
ResExSpawML.R ResAggSpawML.R Weights.R ExplorSpawML.R
'tailIntEmp.r' 'gridUtilities.r' 'EstimationSmith.r'
'EstimationBR.r' 'Estimation.R' 'spatialTailDep-package.r'
'block_matrices.R' 'c_cov_matrices.R' 'c_F_mult.R'
'c_lin_alg.R' 'CV_aux.R' 'CV_estimate.R' 'CV_predict.R'
'deprecated.R' 'internal.R' 'loglikeST.R' 'loglikeST_aux.R'
'loglikeST_derivatives.R' 'MCMC.R' 'SpatioTemporal-data.R'
'SpatioTemporal-package.R' 'STdata.R' 'STdata_processing.R'
'STmodel.R' 'STmodel_combine.R' 'STmodel_estimate.R'
'STmodel_predict.R' 'STmodel_processing.R' 'STmodel_setup.R'
'STmodel_simulate.R' 'temporal_SVD_incomplete_data.R' 'utils.R'
class_Stratification.R class_CompactStratification.R
class_CompactStratificationEqualArea.R
class_CompactStratificationPriorPoints.R
class_SamplingPattern.R class_SamplingPatternPurposive.R
class_SamplingPatternCentroids.R
class_SamplingPatternPriorPoints.R
class_SamplingPatternRandom.R
class_SamplingPatternRandomSamplingUnits.R
class_SamplingPatternRandomComposite.R class_Statistic.R
class_SpatialMean.R class_SamplingVariance.R
class_StandardError.R class_SpatialVariance.R
class_SpatialCumulativeDistributionFunction.R
generic_estimate.R generic_getArea.R generic_getRelativeArea.R
generic_getAttributes.R generic_getCellSize.R
generic_getCentroid.R generic_getSampleSize.R
generic_getNumberOfCells.R generic_getNumberOfStrata.R
generic_getObjectiveFunctionValue.R generic_stratify.R
generic_plot.R methods_estimate.R
method_getArea-CompactStratification.R
method_getRelativeArea-CompactStratification.R
method_getCellSize-CompactStratification.R
method_getCellSize-SpatialPixels.R
method_getCentroid-CompactStratification.R
method_getNumberOfCells-CompactStratification.R
method_getNumberOfStrata-CompactStratification.R
method_getObjectiveFunctionValue-CompactStratification.R
method_getSampleSize-SamplingPattern.R
method_getSampleSize-SamplingPatternRandomComposite.R
method_initialize-CompactStratification.R
method_initialize-CompactStratificationPriorPoints.R
method_stratify-SpatialGrid.R method_stratify-SpatialPixels.R
method_stratify-SpatialPolygons.R methods_plot.R
methods_spsample.R methods_setAs.R method_show-Stratification.R
method_show-SamplingPattern.R method_show-Statistic.R onLoad.R
onAttach.R
misc-spd.R classes-spd.R methods-GPD.R methods-spdFit.R
methods-spdDistribution.R methods-spdPlots.R
'sperrorest-package.R' 'sperrorest.R' 'sperrorest_misc.R'
'sperrorest_resampling.R' 'sperrorest_error.R'
'sperrorest_data.R'
AAA.R options.R spgrass6.R bin_link.R vect_link.R initGRASS.R
xml1.R
'utils.R' 'terms.R' 'ssGAMDesign.R' 'spikeAndSlab.R'
'spikeSlabGAM.R' 'bugs.R' 'plot.R' 'predict.R' 'summary.R'
'zzz.R'
Swrappers.R peaks.R bits.per.integer.R doTest.R muS2RC.R
showStructure.R sigseriesS3.R sigseriesS4.R splus2R_is.R
splus2R_pkg.R
'sss-package.R' 'internal-csv.R' 'internal-xml.R' 'read-fwf.R'
'read-sss.R'
cte.R ExternalPackageInterface.R ToolsFct.R Interpolation.R
RegularInverse.R stableCF.R CFbasedMoment.R WeightingMatrix.R
eCFfirstZero.R tSchemes.R MultiDimIntegral.R InitialGuess.R
KoutParamsEstim.R MLParamsEstim.R GMMParamsEstim.R
CgmmParamsEstim.R OutputFileManip.R CheckPoint.R BestT_Class.R
Estim_Class.R Estim.R Simulation.R BestT.R
'ConnectionODBC.r' 'RequeteODBC.r' 'RequeteODBCwhere.r'
'RequeteODBCwheredate.r' 'utilitaires.r'
'SolverOptions.R' 'addNamesToList.R' 'checkICs.R'
'checkSolution.R' 'deathFunction.R' 'reproductionFunction.R'
'immigrationFunction.R' 'emigrationFunction.R'
'durationFunction.R' 'developmentFunction.R'
'defaultRateFunctions.R' 'derivDede.R' 'derivPBS.R'
'genericPlot.R' 'initConditions.R' 'namingVariables.R'
'plotStrains.R' 'popModel.R' 'rateFuncCheck.R' 'rateFunction.R'
'runStagePopExample.R' 'stagePop-package.R' 'sumStrains.R'
'vecDivideFunc.R' 'vecToMatList.R'
remoteDB.R localDB.R init.R util.R valid.R zzz.R
'stutil.R' 'stwin.R' 'stsubpop.R' 'stmodelKM.R' 'stmodelCOX.R'
'stmodelCI.R' 'stmodelGLM.R' 'stmodel.R' 'steppes.R' 'stepp.R'
'filterStream.R' 'parseTweets.R' 'sampleStream.R'
'userStream.R' 'streamR-package.R' 'readTweets.R'
fdr.est.R getBackground.R getEdgeLabel.R getEdgeLty.R
getInteGraphList.R GetK2riData.R getLayout.R getLocSubGraph.R
getOneNodePath.R getSymbolFromGene.R identifyGraph.R
initializeK2ri.R plotGraph.R printGraph.R updateOrgEnvir.R
mytriangle.R
'surveydata-package.R' 'surveydata.R' 'merge.R' 'varlabels.R'
'questions.R' 'strings.R' 'extract.R' 'cleandata.R'
'encoding.R' 'tools.R' 'pattern.R'
'air.R' 'asSurv.R' 'genSurv.R' 'autoplotRpart.R'
'autoplotSurvfit.R' 'autoplotTAP.R' 'btumors.R' 'tne.R' 'sf.R'
'ci.R' 'gastric.R' 'covMatSurv.R' 'comp.R' 'cutp.R' 'd1.R'
'gamTerms.R' 'plotTerm.R' 'dx.R' 'gof.R' 'ic.R' 'local.R'
'lrSS.R' 'meanSurv.R' 'mpip.R' 'multiCoxph.R'
'plotMultiCoxph.R' 'plotSurv.R' 'profLik.R' 'quantile.R'
'rsq.R' 'sig.R' 'survMisc_package.R' 'tableRhs.R' 'tneBMT.R'
'tneKidney.R' 'whas100.R' 'whas500.R'
generics.R validmodelorg.R validoptsol.R validreactId.R
validreactId_Exch.R validsysBiolAlg.R addAlgorithm.R
addExchReact.R addReact.R addSolver.R blockedReact.R
bracket_pairs.R ceilValues.R changeBounds.R changeGPR.R
changeObjFunc.R checkAlgorithm.R checkDefaultMethod.R
checkEmptyField.R checkReactId.R check_brackets.R
createReactionString.R deadEndMetabolite.R doInRound.R
doubleFluxDel.R doubleGeneDel.R doubleReact.R editEnvir.R
findExchReact.R floorValues.R fluxVar.R geneDel.R
geneDeletion.R generateFluxdels.R generateModKey.R generateWT.R
getsybilenv.R makeLPcompatible.R mod2irrev.R modelorg2ExPA.R
modelorg2text.R modelorg2tsv.R multiDel.R oneFluxDel.R
oneGeneDel.R onlyChangeGPR.R onlyCheckGPR.R optObj_basicfunc.R
optObj_lpSolveAPIcompat.R optimizer.R parseBoolean.R phpp.R
ppProcessing.R prepareSubSysMatrix.R printLogComment.R
printNamedList.R progress.R promptSysBiolAlg.R recodeMatrix.R
readTEXTmod.R readTSVmod.R reassignFwBwMatch.R rmReact.R
robAna.R settings.R singletonMetabolite.R sybilStack.R ypd.R
zzz.R modelorgClass.R modelorg_irrevClass.R optObj_pointer.R
optObjClass.R optObj_clpAPIClass.R optObj_cplexAPIClass.R
optObj_glpkAPIClass.R optObj_lpSolveAPIClass.R
sybilErrorClass.R ppProcClass.R netFluxClass.R
fluxDistributionClass.R reactIdClass.R reactId_ExchClass.R
optsolClass.R optsol_blockedReactClass.R
optsol_optimizeProbClass.R optsol_fluxVarClass.R
optsol_fluxdelClass.R optsol_robAnaClass.R optsol_phppClass.R
optsol_genedelClass.R checksolClass.R summaryOptsolClass.R
sysBiolAlgClass.R sysBiolAlg_fbaClass.R sysBiolAlg_fvClass.R
sysBiolAlg_lmomaClass.R sysBiolAlg_momaClass.R
sysBiolAlg_mtfClass.R sysBiolAlg_roomClass.R sybilLogClass.R
generics.R sbmlPtrClass.R sbmlErrorClass.R sybilSBML.R
uglyHack.R readSBMLmod.R zzz.R
'equal.lengths.r' 'is.wholenumber.r' 'qft.cens.r'
'qft.criteria.070.r' 'qft.criteria.cellestis.nomito.r'
'qft.criteria.cellestis.usa.r' 'trim.output.r'
'tbdiag-package.r' 'tspot.cens.r' 'tspot.criteria.10spot.r'
'tspot.criteria.oxford.global.r' 'tspot.criteria.oxford.usa.r'
'qft.interp.R' 'tspot.interp.R'
'makeTdmRandomSeed.r' 'printTDMclassifier.r'
'printTDMregressor.r' 'tdmBigLoop.r' 'tdmClassify.r'
'tdmClassifyLoop.r' 'tdmDefaultsFill.r' 'tdmDispatchTuner.r'
'tdmEmbedDataFrame.r' 'tdmEnvTMakeNew.r' 'tdmGeneralUtils.r'
'tdmGetObj.r' 'tdmGraphicUtils.r' 'tdmMapDesign.r'
'tdmMetacostRf.r' 'tdmModelingUtils.r' 'tdmOptsDefaults.r'
'tdmParaBootstrap.r' 'tdmPlotResMeta.r' 'tdmPreprocUtils.r'
'tdmReadData.r' 'tdmROCR.r' 'tdmRegress.r' 'tdmRegressLoop.r'
'tdmSplitTestData.r' 'tdmStartSpot.r' 'tdmStartOther.r'
'unbiasedBestRun_O.r' 'unbiasedRun.r' 'tdmExecSpotStep.r'
'has-dimension.r' 'has_factors.r' 'has-missing.r'
'has-names.r' 'is-class.r' 'is-dataframe.r' 'is-decimal.r'
'is-integer.r' 'is-matrix.r' 'is-multiple.r' 'is-natural.r'
'is-positive-negative.r' 'is-string.r' 'is-tabular.r'
'is-triangular.r' 'is-vector.r' 'is_square_matrix.r'
'list-of-vectors.r' 'list-with-vectors.r' 'odd-even.r'
'true-false.r' 'same-class.r' 'same-dim.r' 'same-length.r'
'same-mode.r' 'same-type.r' 'is-one-dim.r' 'is-single.r'
'is-scalar.r'
'auto-test.r' 'colour-text.r' 'compare.r' 'context.r'
'describe.r' 'evaluate-promise.r' 'expect-that.r'
'expectation.r' 'expectations-equality.R'
'expectations-matches.R' 'expectations-old.R' 'expectations.r'
'make-expectation.r' 'mock.r' 'reporter.r' 'reporter-check.R'
'reporter-list.r' 'reporter-minimal.r' 'reporter-multi.r'
'reporter-rstudio.R' 'reporter-silent.r' 'reporter-stop.r'
'reporter-summary.r' 'reporter-tap.r' 'reporter-teamcity.r'
'reporter-zzz.r' 'test-example.R' 'test-files.r'
'test-package.r' 'test-results.r' 'test-that.r' 'traceback.r'
'utils.r' 'watcher.r'
globalVariables.R texmexFamily.R AIC.evm.R plot.evm.R
evm.simSetSeed.R plot.mexPrediction.R evmBoot.R plot.mex.R
bootmex.R plot.migpd.R chi.R plot.predict.link.evm.R
coef.evmSim.R plotrl.evm.R coefficients.evm.R ppevm.R
coefficients.migpd.R predict.evm.R constructObject.R
predict.mex.R copulas.R predictWorkers.R dgpd.R print.evmSim.R
efficient.closures.R print.bootmex.R endPoint.R print.evm.R
evmFit.R print.mexDependence.R evmSim.R evm.R
print.mexPrediction.R extremalIndex.R print.migpd.R gpd.info.R
qgpd2.R rgpd.R pgpd.R qgpd.R rgev.R pgev.R qgev.R dgev.R gev.R
gpd.R gpdRangeFit.R qqevm.R hist.evm.R revTransform.R
mexDependenceLowLevelFunctions.R mexDependence.R rMaxAR.R mex.R
summary.evmSim.R mexRangeFit.R summary.evm.R mexTransform.R
summary.migpd.R migpdCoefs.R summary.predict.mex.R migpd.R
mrl.R mspearman.R texmexWorkers.R multivariate.cauchy.R
thinAndBurn.evm.sim.R u2gpd.R plot.evmSim.R plot.bootmex.R
special.functions.R
'aalenC.r' 'aalen-des.r' 'aalen.r' 'additive-compSs.r'
'base.r' 'clusterindex-reshape.r' 'comprisk.r' 'comprisk.ipw.r'
'cox-aalen.r' 'cox.ipw.r' 'Cpred.r' 'Csmooth.r' 'dynadd.r'
'event.r' 'Gprop-odds.r' 'krylow.pls.r' 'kmplot.r' 'mgresid.r'
'new.aalen.r' 'new.cox-aalen.r' 'new.dynreg.r'
'new.pe-sasieni.r' 'new.prop-excess.r' 'new.timecox.r'
'plots.r' 'predict-timereg.r' 'glm-comprisk.r' 'prop-excess.r'
'prop-odds.r' 'prop-odds-subdist.r' 'read-design.r'
'restricted.residual.mean.r' 'ipcw-residualmean.r'
'two-stage-reg.r' 'timecox.r'
'certification_movie_list.R' 'certification_tv_list.R'
'changes_movie.R' 'changes_person.R' 'changes_tv.R'
'collection.R' 'collection_images.R' 'company.R'
'company_movies.R' 'configuration.R' 'credit.R'
'discover_movie.R' 'discover_tv.R' 'find_tmdb.R'
'genres_movie_list.R' 'genres_movies.R' 'genres_tv_list.R'
'is.wholenumber.R' 'jobs.R' 'keyword.R' 'keyword_movies.R'
'list_get.R' 'list_item_status.R' 'movie.R'
'movie_alternative_title.R' 'movie_changes.R' 'movie_credits.R'
'movie_images.R' 'movie_keywords.R' 'movie_latest.R'
'movie_lists.R' 'movie_now_playing.R' 'movie_popular.R'
'movie_releases.R' 'movie_reviews.R' 'movie_similar.R'
'movie_top_rated.R' 'movie_translations.R' 'movie_upcoming.R'
'movie_videos.R' 'network.R' 'person_tmdb.R' 'person_changes.R'
'person_combined_credits.R' 'person_external_ids.R'
'person_images.R' 'person_latest.R' 'person_movie_credits.R'
'person_popular.R' 'person_tagged_images.R'
'person_tv_credits.R' 'review.R' 'search_collection.R'
'search_company.R' 'search_keyword.R' 'search_list.R'
'search_movie.R' 'search_multi.R' 'search_person.R'
'search_tv.R' 'timezone.R' 'tv.R' 'tv_airing_today.R'
'tv_alternative_title.R' 'tv_changes.R' 'tv_content_ratings.R'
'tv_credits.R' 'tv_episode.R' 'tv_episode_changes.R'
'tv_episode_credits.R' 'tv_episode_external_ids.R'
'tv_episode_images.R' 'tv_episode_videos.R' 'tv_external_ids.R'
'tv_images.R' 'tv_keywords.R' 'tv_latest.R' 'tv_on_the_air.R'
'tv_popular.R' 'tv_season.R' 'tv_season_changes.R'
'tv_season_credits.R' 'tv_season_external_ids.R'
'tv_season_images.R' 'tv_season_videos.R' 'tv_similar.R'
'tv_top_rated.R' 'tv_translations.R' 'tv_videos.R'
'gui_andrews.r' 'gui_density.r' 'gui_faces.r' 'gui_image.r'
'gui_pcp.r' 'gui_scatmat.r' 'gui_stars.r' 'gui_stereo.r'
'gui_tour.r' 'gui_xy.r' 'tour_andrews.r' 'tour_density.r'
'tour_faces.r' 'tour_pcp.r' 'tour_scatmat.r' 'tour_stars.r'
'tour_stereo.r' 'tour_xy.r'
'helpers.R' 'base.R' 'model.R' 'view.R' 'controller.R'
'container.R' 'editor.R' 'itemgroup.R' 'dialog.R' 'items.R'
'itemlist.R' 'loadanimation.R' 'traitR-package.R'
Class-Tracks.R Tracks-methods.R stplot.R difftrack.R
compare-methods.R
'avatar.R' 'dashboard.R' 'def.postParams.R' 'follow.R'
'followers.R' 'http.connection.R' 'info.blog.R' 'like.post.R'
'likes.R' 'post.R' 'post.delete.R' 'post.edit.R'
'post.reblog.R' 'posts.R' 'posts.draft.R' 'posts.queue.R'
'posts.submission.R' 'tagged.R' 'unfollow.R' 'unlike.post.R'
'user.following.R' 'user.info.R' 'user.likes.R' 'compact.R'
'nonce.R' 'oauth.encode.R' 'oauth.encode1.R' 'sort.names.R'
'df_to_blocks.r' 'dummy_to_list.r' 'factor_to_dummy.r'
'from_to.r' 'funlist.r' 'indexify.r' 'lengths.r' 'list_ones.r'
'list_to_dummy.r' 'list_to_matrix.r' 'listify.r' 'listsize.r'
'matrix_to_blocks.r' 'vector_to_dummy.r' 'turner-package.r'
allGenerics.R base.R account.R statuses.R users.R trends.R
s4methods.R convert.R dm.R oauth.R comm.R followers.R search.R
db.R df_columns.R db_connections.R db_utils.R db_search.R
toys.R utils.R zzz.R
'classes.R' 'unmarkedEstimate.R' 'mapInfo.R' 'unmarkedFrame.R'
'unmarkedFit.R' 'utils.R' 'getDesign.R' 'colext.R' 'distsamp.R'
'multinomPois.R' 'occu.R' 'occuRN.R' 'pcount.R' 'gmultmix.R'
'pcountOpen.R' 'gdistsamp.R' 'unmarkedFitList.R'
'unmarkedLinComb.R' 'ranef.R' 'boot.R' 'occuFP.R' 'gpcount.R'
'CheckInputs.R' 'DataCstr.R' 'VSLCMGrlClasses.R' 'ICLexact.R'
'DesignOutput.R' 'Summary.R' 'Print.R' 'VarSelLCM.R'
'RcppExports.R' 'Imputation.R' 'withoutmixture.R'
Class-Cartesian2DCoordinateTransformation.R
Cartesian2DCoordinateTransformation-methods.R
Class-SimilarityTransformation.R Class-AffineTransformation.R
SimilarityTransformation-methods.R
AffineTransformation-methods.R
'helperGUI.R' 'TKRaggr.R' 'TKRdevice.R' 'TKRmarginmatrix.R'
'TKRmatrixplot.R' 'TKRparcoordMiss.R' 'TKRpbox.R'
'TKRscattmatrixMiss.R' 'utils.R' 'VIMGUI.R' 'vmGUImenu.R'
'zzz.R'
h.R hinverse.R Vine.R show.R dimnames.R vineParameters.R
vineIter.R vineFit.R vineFitML.R vinePIT.R vineGoF.R
vineOrder.R dvine.R pvine.R rvine.R
'dataPrep.R' 'vitality.4p.R' 'vitality.6p.R' 'vitality.k.R'
'vitality.ku.R' 'vitality.utils.R' 'data_documentation.R'
'density.R' 'mortality_rate.R' 'package_documentation.R'
AllClasses.R summary-methods.R plot-methods.R MOPT.R ceff1.R
ceff2.R Deff.R S.Weight.R
'waterData-package.R' 'importDVs.R' 'fillMiss.R'
'summaryStats.R' 'compAnom.R' 'plotAnoms.R'
'Z.value.R' 'genperms.R' 'pairtest.R' 'plotting.R'
'scoretest.R' 'wilcoxon.R' 'wgsea-package.R'
'whisker.R' 'section.R' 'parseTemplate.R' 'partials.R'
'inverted.R' 'pkg.R' 'iteratelist.R' 'delim.R' 'markdown.R'
'rowsplit.R'
'fitOpWit.R' 'match.position.R' 'parentsFun.R'
'witness-internal.R' 'witness-package.R' 'witness.est.r'
'witness.genetic.R' 'witness.optim.R'
'witness.starting.params.R' 'witness.test.r'
wav_boot.R wav_coef.R wav_dict.R wav_fdp.R wav_filt.R
wav_gnrc.R wav_mrd.R wav_plot.R wav_shrk.R wav_sig.R wav_util.R
wav_var.R wav_wtmm.R wav_xform.R wav_pkg.R
'class.R' 'crossVal-methods.R' 'env_functions.R' 'ggplot2Fn.R'
'parameter-methods.R' 'plot-methods.R' 'plotFunctions.R'
'readSpc.R' 'summary-methods.R' 'summary.output.x12.R'
'summary.x12.R' 'times.R' 'x12-methods.R' 'x12work.R'
'readx12Out.R' 'zzz.R'
'XiMpLe-internal.R' 'XiMpLe.node-class.R' 'XiMpLe.doc-class.R'
'node.R' 'parseXMLTree.R' 'pasteXML-methods.R' 'pasteXMLTag.R'
'show-methods.R' 'XiMpLe-internal.roxy.all.R'
'XiMpLe-package.R' 'XMLNode.R' 'XMLTree.R' 'zzz_is_get_utils.R'
'Xmisc-package.R' 'imports.R' 'util.R' 'list.R' 'internal.R'
'generic.R' 'xrefclass.R' 'valueparser.R' 'argumentparser.R'
'logging.R' 'unittest.R'
AAA.R DTD.R DTDClasses.R DTDRef.R SAXMethods.S XMLClasses.R
applyDOM.R assignChild.R catalog.R createNode.R dynSupports.R
error.R flatTree.R nodeAccessors.R parseDTD.R schema.S
summary.R tangle.R toString.S tree.R version.R xmlErrorEnums.R
xmlEventHandler.R xmlEventParse.R xmlHandler.R
xmlInternalSource.R xmlOutputDOM.R xmlNodes.R xmlOutputBuffer.R
xmlTree.R xmlTreeParse.R htmlParse.R hashTree.R zzz.R
supports.R parser.R libxmlFeatures.R xmlString.R saveXML.R
namespaces.R readHTMLTable.R reflection.R xmlToDataFrame.R
bitList.R compare.R encoding.R fixNS.R xmlRoot.R serialize.R
xmlMemoryMgmt.R keyValueDB.R solrDocs.R XMLRErrorInfo.R
xincludes.R namespaceHandlers.R tangle1.R htmlLinks.R
htmlLists.R getDependencies.R getRelativeURL.R xmlIncludes.R
simplifyPath.R
'AIC.r' 'carbon.model.r' 'carcass.EMI.model.r'
'carcass.model.r' 'carcass_data.r' 'chicks_data.r'
'cotton.model.r' 'epirice.model.r' 'evaluation.criteria.r'
'exponential.model.r' 'goodness.of.fit.r'
'lactation.calf.model.r' 'lactation.machine.model.r'
'magarey.model.r' 'maize.data_EuropeEU.r' 'maize.model.r'
'population.age.model.r' 'prey.predator.model.r' 'sample.r'
'seedweight.data_data.r' 'seedweight.model.r'
'Sunflower_Phomopsis_data.r' 'verhulst.model.r'
'watbal.model.r' 'watbal.simobsdata.r'
'weather_EuropeEU_data.r' 'weather_FranceWest_data.r'
'weather_SouthAsia_data.r' 'weed.model.r' 'Wheat_GPC_data.r'
'WheatYieldGreece_data.r' 'ZeBook.r'
'blogit.R' 'bprobit.R' 'param.blogit.R' 'param.bprobit.R'
'plot.sim.blogit.R' 'plot.sim.bprobit.R' 'qi.blogit.R'
'qi.bprobit.R' 'zelig2blogit.R' 'zelig2bprobit.R'
'common-methods.R' 'param.ologit.R' 'param.oprobit.R'
'plot.sim.ologit.R' 'plot.sim.oprobit.R' 'qi.ologit.R'
'qi.oprobit.R' 'summarize.ologit.R' 'summarize.oprobit.R'
'zelig2ologit.R' 'zelig2oprobit.R' 'param.mlogit.R'
'plot.sim.mlogit.R' 'qi.mlogit.R' 'zelig2mlogit.R' 'describe.R'
'ZeligChoice-package.R'
'compute.ev.R' 'describe.logit.gam.R' 'describe.normal.gam.R'
'describe.poisson.gam.R' 'describe.probit.gam.R'
'model.frame.GamFormula.R' 'param.logit.gam.R'
'param.normal.gam.R' 'param.poisson.gam.R' 'param.probit.gam.R'
'plots.R' 'pv.R' 'qi.logit.gam.R' 'qi.normal.gam.R'
'qi.poisson.gam.R' 'qi.probit.gam.R' 'repeat.data.R'
'zelig2logit.gam.R' 'zelig2normal.gam.R' 'zelig2poisson.gam.R'
'zelig2probit.gam.R' 'ZeligGAM-package.R' 'common-methods.R'
'anova.zelig.R' 'logLik.zelig.R'
'compute.mixed.terms.R' 'describes.R' 'model.frame.lmer.R'
'param.gamma.mixed.R' 'param.logit.mixed.R' 'param.ls.mixed.R'
'param.poisson.mixed.R' 'param.probit.mixed.R'
'qi.gamma.mixed.R' 'qi.logit.mixed.R' 'qi.ls.mixed.R'
'qi.poisson.mixed.R' 'qi.probit.mixed.R' 'setup.x.matrix.R'
'zelig2gamma.mixed.R' 'zelig2logit.mixed.R' 'zelig2ls.mixed.R'
'zelig2poisson.mixed.R' 'zelig2probit.mixed.R'
'ZeligMixed-package.R' 'common-methods.R'
Wilfried Thuiller <wilfried.thuiller@ujf-grenoble.fr>, Damien
Georges <damien.georges2@gmail.com>
For any question or bug please contact CITR@ligue-cancer.net
GenABEL project developers <genabel.project at gmail.com>
Tan Dang <dangt@purdue.edu>, Bartek Rajwa
<rajwa@cyto.purdue.edu>
Predictive Analytics Team at Pivotal Inc. <user@madlib.net>
Austin Chungath Vincent <austincv@gmail.com>,Vikas
Raguttahalli <vikas.r@mu-sigma.com>, Sachin Sudarshana
<sachin.sudarshana@gmail.com>
This package is Copyright (C) 2006-2012 Weierstrass
Institute for Applied Analysis and Stochastics.
The code for apriori and eclat in src/rapriori.c was
obtained from http://www.borgelt.net/ and is Copyright (C)
1996-2003 Christian Borgelt. All other code is Copyright (C)
Michael Hahsler, Christian Buchta, Bettina Gruen and Kurt
Hornik.
(C) 2011 Michael Hahsler and Sudheer Chelluboina
This package is Copyright (C) 2005-2014 Weierstrass
Institute for Applied Analysis and Stochastics.
This package is Copyright (C) 2012-14 Weierstrass Institute
for Applied Analysis and Stochastics.
(C) 2012 John W. Emerson and Walton A. Green and John A.
Hartigan
(C) 2014 Michael J. Kane, Bryan Lewis, and John W. Emerson
(C) 2013 John W. Emerson and Michael J. Kane
(C) 2013 John W. Emerson, Michael J. Kane, and Peter Haverty
(C) 2013 Michael J. Kane and John W. Emerson
Copyright (C) Collective, Inc. | file inst/COPYRIGHTS
MNI152_T1_2mm_brain.nii.gz from Copyright (C) 1993-2009
Louis Collins, McConnell Brain Imaging Centre, Montreal
Neurological Institute, McGill University 6th generation
non-linear symmetric brain
(c) 2012 NYU School of Medicine; (c) 2012-14 Jeff Binder
file inst/COPYRIGHTS for src/zgels.f obtained from LAPACK
(C) 2012 Decision Analyst, Inc. (ChoiceModelR is a trademark
of Decision Analyst, Inc.)
This software is in the public domain because it contains
materials that originally came from the United States
Geological Survey, an agency of the United States Department of
Interior. For more information, see the official USGS copyright
policy at
http://www.usgs.gov/visual-id/credit_usgs.html#copyright
ANN library is copyright University of Maryland, Sunil Arya
and David Mount.
src/arms.c and src/arms.h are copyright Wally Gilks. All
other files are copyright Institut de Recherches
Internationales Servier and Institut national de la sante et de
la recherche medicale.
Instituto Colombiano para la Evaluacion de la Educacion -
ICFES
All files in src/CppBugs are copyright Whit Armstrong. All
other files are copyright Institut de Recherches
Internationales Servier and Institut national de la sante et de
la recherche medicale.
Authors and Aalto University (for work of M. Korpela)
This library is Copyright (C) 2006-2013 Weierstrass
Institute for Applied Analysis and Stochastics.
The R package and code, and the main programs, were written
by and are Copyright by David Bolin and Finn Lindgren, and are
redistributable under the GNU Public License, version 3 or
later.  The package also includes code from the libraries CAMD
from the SuiteSparse collection of Tim Davis, as well as
functions from the GNU Scientific library and the RngStreams
library by Pierre L'Ecuyer.  For details see the COPYRIGHTS
file.
This package is Copyright (C) 2006-2014 Weierstrass
Institute for Applied Analysis and Stochastics.
ANN Copyright (c) 1997-2010 University of Maryland and Sunil
Arya and David Mount. All Rights Reserved.
Copyright (C) 2006 University of Duisburg-Essen, Essen,
Germany, University of Bristol, Bristol, United Kingdom
The Pennsylvania State University and Northeastern
University
see inst/COPYRIGHTS for the files in src/.
(C) 2014 John W. Emerson and Walton A. Green
Copyright 2010, Merck Research Laboratories
Original algorithms and Matlab/C library (c) 2014 WG127
SCOR/IAPSO (Scientific Committee on Oceanic Research /
International Association for the Physical Sciences of the
Oceans, Working Group 127); C wrapper code and R code (c) 2015
Dan Kelley and Clark Richards
Under the allowance of MIT license, smhash
(https://code.google.com/p/smhasher/) codes have been adopted.
RStudio, Inc.; Joyent, Inc.; Nginx Inc.; Igor Sysoev; Niels
Provos; Internet Systems Consortium, Inc.; Alexander Chemeris
(c) Centre for Bioinformation Science, John Curtin Research
School of Medical Sciences and Centre for Mathematics and Its
Applications, The Australian National University
Oleg Sklyar, 2005-2010 and other authors per their commits
This software is in the public domain because it contains
materials that originally came from the United States
Geological Survey, an agency of the United States Department of
Interior. For more information, see the official USGS copyright
policy at
http://www.usgs.gov/visual-id/credit_usgs.html#copyright. Data
are part of the associated publication. See
citation('laketemps') for dataset attribution.
'lm.br' uses the design and some R-code of 'lm' copyright
(C) 2013 The R Foundation for Statistical Computing, and of
'lm.gls' copyright (C) 1994-2005 W. N. Venables and B. D.
Ripley.
The portion of numerical integration is based on Cubature,
Copyright (c) 2005-2013 Steven G. Johnson
(http://ab-initio.mit.edu/wiki/index.php/Cubature), which in
turn is based on HIntLib (also distributed under * the GNU GPL,
v2 or later), copyright (c) 2002-2005 Rudolf Schuerer and GNU
GSL (also distributed under the GNU GPL, v2 or later),
copyright (c) 1996-2000 Brian
Gough.(http://www.gnu.org/software/gsl/).
See memuse/inst/meminfo_LICENSE for the files in
src/meminfo/.
file inst/COPYRIGHTS for src/*.f obtained from LAPACK
The Institute of Information Theory and Automation of the
Czech Academy of Sciences Pod Vodárenskou věží 4, CZ-182 08
Prague 8, Czech Republic email: utia@utia.cas.cz, phone: +420
266 053 111
(C) 2014 National Institute of Advanced Industrial Science
and Technology (AIST)
libnabo is copyright 2010--2011, Stephane Magnenat, ASL,
ETHZ, Switzerland <stephane at magnenat dot net>
ANN library is copyright University of Maryland and Sunil
Arya and David Mount. R wrapper is based on the ANN library,
copyright Samuel Kemp 2005-9 and Gregory Jefferis 2009-2013.
See file COPYRIGHT for details
Nozzle is copyright 2013 The Fellows and President of
Harvard College and The Broad Institute, Inc. All rights
reserved. jQuery is licensed under the MIT license. Copyright
2012 jQuery Foundation. jQuery Tablesorter plugin is licensed
under the MIT license. Copyright 2008 Christian Bach.
The fortran routines for the function HW.original are from
Jonathan R. M. Hosking and are available at the url
http://www.research.ibm.com/people/h/hosking/lmoments.html. The
functions `MLlaio2004.R', `GOFlaio2004.R' and `MSClaio2008.R'
are derived from original Francesco Laio Matlab code (non
published material). The fortran routines for the function
'bestlm' are from Alan Miller and were obtained from his R
package 'leaps'.
2006-2011, Bank of Canada. 2012-2015, Paul Gilbert
Copyright (c) 2010, David Weisman and Dan Simovici, All
rights reserved.
Most files are originally designed by David Pierce under GPL
(>= 3).
See pbdPROF/inst/fpmpi_LICENSE.txt for the files in
src/fpmpi/ and src/fpmpi_win.
See pbdSLAP/inst/ScaLAPACK_LICENSE.txt for the files in
src/BLACS/, src/PBLAS/, src/REDIST/, src/ScaLAPACK/, and
src/TOOLS/. See pbdSLAP/inst/LAPACK_LICENSE.txt for the files
in src/LAPACK/.
This package is Copyright (C) 2006-2010 by Joern Schulz and
Peter Toft.
See phyclust/inst/Documents/ for files in src/msdir/,
src/seq-gen/, src/paml_baseml, and R/ttzeng-*.r.
See QZ/inst/LAPACK_LICENSE.txt for the files in src/qz/.
ANN library is copyright University of Maryland and Sunil
Arya and David Mount. See file COPYRIGHT for details.
Original python appdirs module copyright (c) 2010
ActiveState Software Inc. R port copyright Hadley Wickham,
RStudio. See file LICENSE for details.
(C) 2014 Coherent Logic Limited; ALL RIGHTS RESERVED.
The functionos in EZR package were programmed by Y. Kanda,
except for the following functions. dot.plot(), prop.conf(),
Cochran.Q.test(), pairwise.prop2.test(),
pairwise.pairedt.test(), pairwise.kruskal.test(),
pairwise.friedman.test(), pairwise.logrank.test(),
pairwise.gray.test(), Steel.Dwass(), Steel(), pdunnet(),
Mantel.Byar() were modified from the corresponding functions
distributed by professor Aoki
(http://aoki2.si.gunma-u.ac.jp/R). crr() and cuminc() were
derived from cmprsk package. nrisk() was modified from survplot
package (http://www.cbs.dtu.dk/~eklund/survplot/). epi.test()
and epi.kappa() were derived from epiR package.
jonckheere.test(), ph2simon() and ph2single() were derived from
clinfun package. Functions of meta-analysis were derived from
meta and metatest packages. Functions of matched-pair analysis
were derived from optmatch package, and its license restricts
to academic use. See
http://cran.r-project.org/web/packages/optmatch/LICENSE for
details. The package must be installed before performing
matched-pair analysis, assuming the user is covered by the
license. Functions of receiver-operating characteristics curve
analyses were derived from pROC package. Many dialog functions
in EZR were modified from the corresponding functions in Rcmdr
package and RcmdrPlugin.survivalT package.
See the file COPYRIGHTS for various Eigen copyright details
(C) Michael Hahsler (PCA and SVD implementation (C) Saurabh
Bathnagar)
Data is freely available for research use when acknowledged
with the following reference: Improving Recommendation Lists
Through Topic Diversification, Cai-Nicolas Ziegler, Sean M.
McNee, Joseph A. Konstan, Georg Lausen; Proceedings of the 14th
International World Wide Web Conference (WWW '05), May 10-14,
2005, Chiba, Japan. To appear.
Freely available for research use when acknowledged with the
following reference: Eigentaste: A Constant Time Collaborative
Filtering Algorithm. Ken Goldberg, Theresa Roeder, Dhruv Gupta,
and Chris Perkins. Information Retrieval, 4(2), 133-151. July
2001.
(C) 2015 Coherent Logic Limited; ALL RIGHTS RESERVED.
MaxMind, Inc. for the underlying libmaxmminddb library, and
the package authors for all other content.
Code for the wavelet transform is based on Brandon
Whitcher's work. See file COPYRIGHT for details
Copyright (c) 2008-2015 LabKey Corporation
The package includes the source code of matio written by
Christopher Hulbert (http://sourceforge.net/projects/matio/)
(License: Simplified BSD). The matio io routines have been
adopted to use R printing and error routines.
Authors, and Mixmod use Newmat C++ library
Code is Copyright (C) Jan Wijffels and BNOSAC
The data in star_groj0422.32 have been kindly provided by
the NASA. The data in Mrk421 and Mrk501 have been kindly
provided by the Deutsches Elektronen-Synchrotron. See the
respective documentation.
All code is Copyright (c) 2002-2015 University of
California, Cornell University.
Authors listed above, PostgreSQL Global Development Group,
and The Regents of the University of California
Copyright (c) 2002-2015 University of California, Cornell
University
Inria and specifically inst/COPYRIGHTS for the STK++ library
see files COPYRIGHTS for detailed information
(c) 2010-2015 Madeleine Thompson, except dchud.f and
dchdd.f, which are from LINPACK and are in the public domain in
the United States.
Code copyright held by Evolving Logic.  Documentation
copyright held by the RAND Corporation.
(c) 2014, Pioneer Hi-Bred International, Inc.
The Rector and Visitors of the University of Virginia
We have used the following software and made minimal
necessary changes: Tabix, Heng Li <lh3@live.co.uk> (MIT
license). We removed standard IO related functions, e.g.
printf, fprintf ; also changed its un-safe pointer arithmetics.
The code in src/bea.f is Copyright (C) 1991 F. Murtagh;
src/bbwrcg.f, src/arsa.f and src/bburcg.f are Copyright (C)
2005 M. Brusco, H.F. Koehn, and S. Stahl. All other code is
Copyright (C) Michael Hahsler, Christian Buchta, and Kurt
Hornik.
Dr Martin Porter (2001) for the libstemmer C library, and
Milan Bouchet-Valat (2013) for the R package contents
MOA code in inst/java/moa.jar is Copyright (C) The
University of Waikato and distributed under the Apache License,
version 2.0. All other code is Copyright (C) Matthew Bolanos,
John Forrest and Michael Hahsler
Copyright 2012. The Regents of the University of California
(Regents). All Rights Reserved.
2007-2011 Bank of Canada.  2012-2015 Paul Gilbert.
2004-2011 Bank of Canada and Erik Meijer. 2012-2014 Paul
Gilbert and Erik Meijer
All code is Copyright (C) Michael Hahsler and Kurt Hornik.
The copyright holders of the Perl files are listed in each
.pm file under the Perl directory.
2011-2014 Shenzhen Institutes of Advanced Technology Chinese
Academy of Sciences
2009-2014 Andrew C. Hooker, E. Niclas Jonsson and Mats O.
Karlsson. 2005-2008 Andrew C. Hooker, Justin J. Wilkins, Mats
O. Karlsson and E. Niclas Jonsson. 1998-2004 E. Niclas Jonsson
and Mats Karlsson.
ANN library is copyright University of Maryland and Sunil
Arya and David Mount. See file COPYRIGHTS for details.
(C) 2014 John W. Emerson and Walton Green
(C) 2007-2013. Federico Girosi and Gary King.
Check NEWS file for changes: news(package='simSummary')
This package supplies tools for tabulating and analyzing
the results of predictive models. The methods employed are
applicable to virtually any predictive model and make
comparisons between different methodologies straightforward.
Get text from images of text using Abbyy Cloud Optical Character Recognition (OCR) API. Easily OCR images, barcodes, forms, documents with machine readable zones, e.g. passports. Get the results in a variety of formats including plain text and XML. To learn more about the Abbyy OCR API, see http://ocrsdk.com/.
Implements several ABC algorithms for
performing parameter estimation, model selection, and goodness-of-fit.
Cross-validation tools are also available for measuring the
accuracy of ABC estimates, and to calculate the
misclassification probabilities of different models.
For a given data set, the package provides a novel method of computing precise limits to acquire subsets which are easily interpreted. Closely related to the Lorenz curve, the ABC curve visualizes the data by graphically representing the cumulative distribution function. Based on an ABC analysis the algorithm calculates, with the help of the ABC curve, the optimal limits by exploiting the mathematical properties pertaining to distribution of analyzed items. The data containing positive values is divided into three disjoint subsets A, B and C, with subset A comprising very profitable values, i.e. largest data values ("the important few"), subset B comprising values where the yield equals to the effort required to obtain it, and the subset C comprising of non-profitable values, i.e., the smallest data sets ("the trivial many"). Package is based on Ultsch. A ., Lotsch J.: Computed ABC Analysis for rational Selection of most informative Variables in multivariate Data, PLoS One, 2015.
Contains data which are used by functions of the 'abc' package.
Functions for Constraint Based Simulation using Flux
Balance Analysis and informative analysis of the data generated
during simulation.
An implementation of Karaboga (2005) Artificial Bee Colony Optimization algorithm. This (working) version is a Work-in-progress, which is why it has been implemented using pure R code. This was developed upon the basic version programmed in C and distributed at the algorithm's official website.
Tools for approximate Bayesian computation including summary statistic selection and assessing coverage.
The abd package contains data sets and sample code for The
Analysis of Biological Data by Michael Whitlock and Dolph Schluter (2009;
Roberts & Company Publishers).
Loads ABF2 files containing gap-free data from electrophysiological recordings, as created by Axon Instruments/Molecular Devices software such as pClamp 10.
Combine multidimensional arrays into a single array.
This is a generalization of 'cbind' and 'rbind'.  Works with
vectors, matrices, and higher-dimensional arrays.  Also
provides functions 'adrop', 'asub', and 'afill' for manipulating,
extracting and replacing data in arrays.
Bayesian network analysis is a form of probabilistic  graphical models which derives from empirical data a directed acyclic graph, DAG, describing the dependency structure between  random variables. An additive Bayesian network model consists of a form of a DAG where each node comprises a generalized linear model, GLM. ABN models are equivalent to Bayesian multivariate regression using graphical modelling, they generalises the usual multivariable regression, GLM, to multiple dependent variables. "abn" provides routines to help determine optimal Bayesian network models for a given data set, where these models are used to identify statistical dependencies in messy, complex data. The additive formulation of these models is equivalent to multivariate generalised linear modelling (including mixed models with iid random effects). The usual term to describe this model selection process is structure discovery. The core functionality is concerned with model selection - determining the most robust empirical model of data from interdependent variables. Laplace approximations are used to estimate goodness of fit metrics and model parameters, and wrappers are also included to the INLA package which can be obtained from http://www.r-inla.org. It is recommended the testing version, which can be downloaded by running: source("http://www.math.ntnu.no/inla/givemeINLA-testing.R"). A comprehensive set of documented case studies, numerical accuracy/quality assurance exercises, and additional documentation are available from the abn website.
Fit and predict with the high-dimensional principal fitted
components model.
Processes accelerometer data from uni-axial and tri-axial devices and generates data summaries. Also includes functions to plot and simulate accelerometer data.
A collection of functions that perform operations on time-series accelerometer data, such as identify non-wear time, flag minutes that are part of an activity bout, and find the maximum 10-minute average count value. The functions are generally very flexible, allowing for a variety of algorithms to be implemented. Most of the functions are written in C++ for efficiency.
Provides functionality for creating and
evaluating acceptance sampling plans. Sampling plans can be single,
double or multiple.
The main function is plotLMA(sourcefile,header) that takes
a data set and plots the appropriate LMA and ACC graphs. If no
sourcefile (a string) was passed, a manual data entry window is
opened. The header parameter indicates by TRUE/FALSE (false by
default) if the source CSV file has a head row or not. The data
set should contain only one independent variable (X) and one
dependent varialbe (Y) and can contain a weight for each
observation
Subject recruitment for medical research is challenging. Slow patient accrual leads to delay in research. Accrual monitoring during the process of recruitment is critical. Researchers need reliable tools to manage the accrual rate. We developed a Bayesian method that integrates researcher's experience on previous trials and data from the current study, providing reliable prediction on accrual rate for clinical studies. In this R package, we present functions for Bayesian accrual prediction which can be easily used by statisticians and clinical researchers.
Package for visualizing data quality of partially accruing data.
Categorical data analysis with complete or missing responses
Package for Autoregressive Conditional Duration (ACD, Engle and Russell, 1998) models. Creates trade, price or volume durations from transactions (tic) data, performs diurnal adjustments, fits various ACD models and tests them.
ACE and AVAS methods for choosing regression
transformations.
Functions for the analysis of income distributions for subgroups of the population as defined by a set of variables like age, gender, region, etc. This entails a Kolmogorov-Smirnov test for a mixture distribution as well as functions for moments, inequality measures and entropy measures of income distributions. This package thus aides the analysis of income inequality by offering tools for the exploratory analysis of income distributions at the disaggregated level.
Fragment lengths or molecular weights from pairs of lanes are
compared, and a number of matching bands are calculated using the
Align-and-Count Method.
Implementation of estimator ACME, described in Wolpert (2015),
ACME: A Partially Periodic Estimator of Avian & Chiropteran
Mortality at Wind Turbines (submitted).  Unlike most other models,
this estimator supports decreasing-hazard Weibull model for
persistence; decreasing search proficiency as carcasses age;
variable bleed-through at successive searches; and interval
mortality estimates.  The package provides, based on search data,
functions for estimating the mortality inflation factor in
Frequentist and Bayesian settings.
A summarization method to estimate allele-specific copy number signals for Affymetrix SNP microarrays using non-negative matrix factorization (NMF).
This data package contains SNP array data from different types of copy-number regions.  These regions were identified manually by the authors of the package and may be used to generate realistic data sets with known truth.
Archimax copulas are mixture of Archimedean and EV copulas. The package provides definitions of several parametric families of generator and dependence function, computes CDF and PDF, estimates parameters, tests for goodness of fit, generates random sample and checks copula properties for custom constructs. In 2-dimensional case explicit formulas for density are used, in the contrary to higher dimensions when all derivatives are linearly approximated. Several non-archimax families (normal, FGM, Plackett) are provided as well.
Analysis of count data exhibiting autoregressive properties, using the Autoregressive Conditional Poisson model (ACP(p,q)) proposed by Heinen (2003).
Convenience functions for data preparation and modeling often used in aCRM.
Provides a general toolkit for downloading, managing, analyzing, and presenting data from the U.S. Census American Community Survey (ACS).  Confidence intervals provided with the data are converted to standard errors to be bundled with estimates in complex acs objects.  Package provides new methods to conduct standard operations and tests of significance on acs objects in statistically appropriate ways. Current version is 1.2 +/- .05.
Main functionality is to provide the algorithmic complexity for
short strings, an approximation of the Kolmogorov Complexity of a short
string using the coding theorem method (see ?acss). The database containing
the complexity is provided in the data only package acss.data, this package
provides functions accessing the data such as prob_random returning the
posterior probability that a given string was produced by a random process.
In addition, two traditional (but problematic) measures of complexity are
also provided: entropy and change complexity.
Data only package providing the algorithmic complexity of short strings, computed using the coding theorem method. For a given set of symbols in a string, all possible or a large number of random samples of Turing machines (TM) with a given number of states (e.g., 5) and number of symbols corresponding to the number of symbols in the strings were simulated until they reached a halting state or failed to end. This package contains data on 4.5 million strings from length 1 to 12 simulated on TMs with 2, 4, 5, 6, and 9 symbols. The complexity of the string corresponds to the distribution of the halting states of the TMs.
This package includes functions used to perform cluster analysis for cognitive
diagnosis based on the Asymptotic Classification Theory (Chiu, Douglas & Li, 2009). Given the
sample statistic of sum-scores and the item-by-attribute association matrix (Q-matrix; Tatsuoka, 1985),
cluster analysis techniques can be used to classify examinees into latent
classes based on their attribute patterns. In addition to the algorithms used to classify data, three
labeling approaches are proposed to label clusters so that examinees' attribute profiles can be obtained.
This package implements functional linear modeling and
analysis for actigraphy data.
Provides functions to fit kernel density functions
to animal activity time data; plot activity distributions;
quantify overall levels of activity; statistically compare
activity metrics through bootstrapping; and evaluate variation
in linear variables with time (or other circular variables).
Various actuarial science functionalities, mostly in the
fields of loss distributions, risk theory (including ruin theory),
simulation of compound hierarchical models and credibility theory.
The package also features 17 probability laws commonly used in
insurance, mostly heavy tailed distributions.
Computes the probability density function, hazard rate
function, integrated hazard rate function and the quantile
function for 44 commonly used survival models
Performs discrete, real, and gentle boost under both
exponential and logistic loss on a given data set.  The package
ada provides a straightforward, well-documented, and broad
boosting routine for classification, ideally suited for small
to moderate-sized data sets.  Please refer to the Url below for
more information.
It implements Freund and Schapire's Adaboost.M1 algorithm and Breiman's Bagging
algorithm using classification trees as individual classifiers. Once these classifiers have been
trained, they can be used to predict on new data. Also, cross validation estimation of the error can
be done. Since version 2.0 the function "margins" is available to calculate the margins for these
classifiers. Also a higher flexibility is achieved giving access to the "rpart.control" argument
of "rpart". Four important new features were introduced on version 3.0, AdaBoost-SAMME (Zhu
et al., 2009) is implemented and a new function "errorevol" shows the error of the ensembles as
a function of the number of iterations. In addition, the ensembles can be pruned using the option
"newmfinal" in the predict.bagging and predict.boosting functions and the posterior probability of
each class for observations can be obtained. Version 3.1 modifies the relative importance measure
to take into account the gain of the Gini index given by a variable in each tree and the weights of
these trees. Version 4.0 includes the margin-based ordered aggregation for Bagging pruning (Guo
and Boukir, 2013) and a function to auto prune the rpart tree. Moreover, three new plots are also
available importanceplot, plot.errorevol and plot.margins.
The R package 'adagio' will provide methods and algorithms for
discrete optimization and (evolutionary) global optimization.
The adaptive mixture discriminant analysis (AMDA) allows to adapt a model-based classifier to the situation where a class represented in the test set may have not been encountered earlier in the learning phase.
Based on the function "spm" of the SemiPar package fits
semiparametric regression models with spatially adaptive
penalized splines.
Fits semiparametric regression models with spatially adaptive penalized splines and computes simultaneous confidence bands.
Implements Figueiredo EM algorithm for adaptive sparsity (Jeffreys prior) (see Figueiredo, M.A.T.; , "Adaptive sparseness for supervised learning," Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.25, no.9, pp. 1150- 1159, Sept. 2003) and Wong algorithm for adaptively sparse gaussian geometric models (see Wong, Eleanor, Suyash Awate, and P. Thomas Fletcher. "Adaptive Sparsity in Gaussian Graphical Models." In Proceedings of the 30th International Conference on Machine Learning (ICML-13), pp. 311-319. 2013.)
Implements adaptive tau leaping to approximate the
trajectory of a continuous-time stochastic process as
described by Cao et al. (2007) The Journal of Chemical
Physics.  This package is based upon work supported by
NSF DBI-0906041 and NIH K99-GM104158 to Philip Johnson and
NIH R01-AI049334 to Rustom Antia.
This package provides an implementation of the generic
adaptive Monte Carlo Markov chain sampler proposed by Vihola
(2011).
This package contains R functions for estimating the blood
oxygenation level dependent (BOLD) effect by using functional
Magnetic Resonance Imaging (fMRI) data, based on adaptive Gauss
Markov random fields, for real as well as simulated data. The
implemented simulations make use of efficient Markov Chain
Monte Carlo methods.
The functions defined in this program serve for
implementing adaptive two-stage tests. Currently, four tests
are included: Bauer and Koehne (1994), Lehmacher and Wassmer
(1999), Vandemeulebroecke (2006), and the horizontal
conditional error function. User-defined tests can also be
implemented. Reference: Vandemeulebroecke, An investigation of
two-stage tests, Statistica Sinica 2006.
Implementation of the Tukey, Mandel, Johnson-Graybill, LBI, Tusell
and modified Tukey non-additivity tests.
Methods for fitting identity-link GLMs and GAMs to discrete data,
using EM-type algorithms with more stable convergence properties than standard methods.
Accelerated destructive degradation tests (ADDT) are often used to collect necessary data for assessing the long-term properties of polymeric materials. Based on the collected data, a thermal index (TI) is estimated. The TI can be useful for material rating and comparison. This package performs the least squares (LS) and maximum likelihood (ML) procedures for estimating TI for polymeric materials. The LS approach is a two-step approach that is currently used in industrial standards, while the ML procedure is widely used in the statistical literature. The ML approach allows one to do statistical inference such as quantifying uncertainties in estimation, hypothesis testing, and predictions. Two publicly available datasets are provided to allow users to experiment and practice with the functions.
Multivariate data analysis and graphical display.
a Tcl/Tk GUI for some basic functions in the ade4 package
Toolset for the exploration of genetic and genomic data. Adegenet provides formal (S4) classes for storing and handling various genetic data, including genetic markers with varying ploidy and hierarchical population structure ('genind' class), alleles counts by populations ('genpop'), and genome-wide SNP data ('genlight'). It also implements original multivariate methods (DAPC, sPCA), graphics, statistical tests, simulation tools, distance and similarity measures, and several spatial methods. A range of both empirical and simulated datasets is also provided to illustrate various methods.
Graphical functionalities for the representation of multivariate data. It is a complete re-implementation of the functions available in the 'ade4' package.
A collection of tools for the analysis of habitat selection by animals.
A collection of tools for the estimation of animals home range.
A collection of tools for the analysis of habitat selection.
A collection of tools for the analysis of animal movements.
A collection of tools to deal with raster maps.
Multivariate tools to analyze comparative data, i.e. a phylogeny and some traits measured for each taxa.
This package provides some useful functions for calculating quality
measures for
adjustment, including statistics Kolmogorov-Smirnov, Cramer-von Mises and Anderson-Darling.
These statistics are often used to compare models not equipped. Also provided are other measures
of fitness, such as AIC, CAIC, BIC and HQIC. The package also provides functions for generating
pseudo-random number of random variables that follow the following probability distributions: Kumaraswamy Birnbaum-Saunders, Kumaraswamy Pareto, Exponentiated Weibull
and Kumaraswamy Weibull.
Anderson-Darling GoF test with p-value calculation based on Marsaglia's 2004 paper "Evaluating the Anderson-Darling Distribution"
An ad hoc distance threshold can be calculated for each particular reference library of DNA barcodes. Specimen identification at this ad hoc distance threshold (using the best close match method) will produce identifications with an estimated relative error probability that can be fixed by the user (e.g. 5%)
This package implements tools for manipulation of digital
images and the Propagation Separation approach by Polzehl and
Spokoiny (2006) for smoothing digital images.
Adaptive Wavelet transforms for signal denoising
Robust change point detection using ADM3 algorithm.
This package provides functions to perform the fitting of an
adaptive mixture of Student-t distributions to a target density through its kernel function.
The mixture approximation can then be used as the importance density
in importance sampling or as the candidate density in the Metropolis-Hastings algorithm to
obtain quantities of interest for the target density itself.
An implementation of ADPclust clustering procedures (Fast Clustering Using Adaptive Density Peak Detection). The work is built and improved upon Rodriguez and Laio[2014]'s idea. ADPclust clusters data by finding density peaks in a density-distance plot generated from local multivariate Gaussian density estimation. It includes an automatic centroids selection and parameter optimization algorithm, which finds the number of clusters and cluster centroids by comparing average silhouettes on a grid of testing clustering results; It also includes an user interactive algorithm that allows the user to manually selects cluster centroids from a two dimensional "density-distance plot".
Perform first- and second-order multi-scale analyses derived from Ripley K-function, for univariate,
multivariate and marked mapped data in rectangular, circular or irregular shaped sampling windows, with tests of
statistical significance based on Monte Carlo simulations.
Implements wavelet-based approaches for describing population admixture. Principal Components Analysis (PCA) is used to define the population structure and produce a localized admixture signal for each individual. Wavelet summaries of the PCA output describe variation present in the data and can be related to population-level demographic processes. For more details, see Sanderson et al. (2015).
Download and process real time trading prices and demand data
freely provided by the Australian Energy Market Operator (AEMO). Note that
this includes a sample data set.
Functions, data sets, examples, demos, and vignettes for the book
Christian Kleiber and Achim Zeileis (2008),
Applied Econometrics with R, Springer-Verlag, New York.
ISBN 978-0-387-77316-2. (See the vignette for a package overview.)
Provides convenience functions for analyzing factorial experiments
using ANOVA or mixed models. ez.glm(), aov.car(), and aov4() allow
convenient specification of between, within (i.e., repeated-measures),
or mixed between-within (i.e., split-plot) ANOVAs for data in long
format (i.e., one observation per row), potentially aggregating multiple
observations per individual and cell of the design. mixed() fits a mixed
model using lme4::lmer() and computes p-values for all effects using either
Kenward-Roger approximation for degrees of freedom (LMM only), parametric
bootstrap (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex
uses type 3 sums of squares as default (imitating commercial statistical
software). compare.2.vectors() compares two vectors using a variety of tests
(t, Wilcoxon, and permutation).
This package is developed in the Plant Reproductive Biology Lab (RNM-214) - University of Seville. It contains hybrid simulation functions for dominant genetic data. It also provides several genome scan methods.
This package features both rank-based estimates and least
square estimates to the Accelerated Failure Time (AFT) model.
For rank-based estimation, it provides approaches that include
the computationally efficient Gehan's weight and the general's
weight such as the logrank weight.
For the least square estimation, the estimating equation is
solved  with Generalized Estimating Equations (GEE).
Moreover, in multivariate cases, the dependence working
correlation structure can be specified in GEE's setting.
Tools for NIHES course EP18 'Analysis of Growth Data', May 22-23
2012, Rotterdam.
Tools supporting multi-criteria decision making, including
variable number of criteria, by means of aggregation operators
and preordered sets. Possible applications include, but are not
limited to, scientometrics and bibliometrics.
Bland-Altman plot and scatter plot with identity line
for visualization and point and
interval estimates for different metrics related to
reproducibility/repeatability/agreement including
the concordance correlation coefficient,
intraclass correlation coefficient,
within-subject coefficient of variation,
smallest detectable difference,
and mean normalized smallest detectable difference.
This package computes several statistics for measuring
agreement, for example, mean square deviation (MSD), total
deviation index (TDI) or concordance correlation coefficient
(CCC). It can be used for both continuous data and categorical
data for multiple raters and multiple readings cases.
Agricolae was presented in the thesis "A statistical analysis tool for agricultural research" to obtain the degree of Master on science, mention Systems Engineering, Faculty of Industrial and Systems Engineering, National Engineering University (UNI), Lima-Peru. Original idea, support and data sets came from CIP (International Potato Center). Agricolae offers extensive functionality on experimental design especially for agricultural and plant breeding experiments, which can also be useful for other purposes. It supports planning of lattice, Alpha, Cyclic, Complete Block, Latin Square, Graeco-Latin Squares, augmented block, factorial, split and strip plot designs. There are also various analysis facilities for experimental data, e.g. treatment comparison procedures and several non-parametric tests comparison, biodiversity indexes and consensus cluster.
Datasets from books, papers, and websites related to agriculture.
Example analyses are included.  Includes functions for plotting field
designs and GGE biplots.
Calculate agreement or consensus in ordered rating scales. The package implements van der Eijk's (2001) measure of agreement A, which can be used to describe agreement, consensus, or polarization among respondents. It also implements measures of consensus (dispersion) by Leik, Tatsle and Wierman, Blair and Lacy, Kvalseth, and Berry and Mielke. Furthermore, an implementation of Galtungs AJUS-system is provided to classify distributions, as well as a function to identify the position of multiple modes.
Calculation of repeated confidence intervals as well as confidence
intervals based on the stage-wise ordering in group sequential designs and
adaptive group sequential designs. For adaptive group sequential designs
the confidence intervals are based on the conditional rejection probability
principle. Currently the procedures do not support the use of futility
boundaries or more than one adaptive interim analysis.
High-featured panel functions for bwplot and xyplot,
some plot management helpers, various convenience functions
Computationally efficient procedures for regularized
estimation with the semiparametric additive hazards regression
model.
Methods for estimation of multivariate average hazard ratios as defined by Kalbfleisch and Prentice. The underlying survival functions of the event of interest in each group can be estimated using either the (weighted) Kaplan-Meier estimator or the Aalen-Johansen estimator for the transition probabilities in Markov multi-state models. Right-censored and left-truncated data is supported. Moreover, the difference in restricted mean survival can be estimated.
This package includes functions to create model selection tables based on Akaike's information criterion (AIC) and the second-order AIC (AICc), as well as their quasi-likelihood counterparts (QAIC, QAICc).  The package also features functions to conduct classic model averaging (multimodel inference) for a given parameter of interest or predicted values, as well as a shrinkage version of model averaging parameter estimates.  Other handy functions enable the computation of relative variable importance, evidence ratios, and confidence sets for the best model.  The present version works with Cox proportional hazards models and conditional logistic regression ('coxph' and 'coxme' classes), linear models ('lm' class), generalized linear models ('glm', 'vglm', 'hurdle', and 'zeroinfl' classes), linear models fit by generalized least squares ('gls' class), linear mixed models ('lme' class), generalized linear mixed models ('mer' and 'merMod' classes), multinomial and ordinal logistic regressions ('multinom'}, 'polr', 'clm', and 'clmm' classes), robust regression models ('rlm' class), beta regression models ('betareg' class), parametric survival models ('survreg' class), nonlinear models ('nls' and 'gnls' classes), and nonlinear mixed models ('nlme' and 'nlmer' classes).  The package also supports various models of 'unmarkedFit' and 'maxLikeFit' classes estimating demographic parameters after accounting for imperfect detection probabilities.  Some functions also allow the creation of model selection tables for Bayesian models of the 'bugs' and 'rjags' classes.  Objects following model selection and multimodel inference can be formatted to LaTeX using 'xtable' methods included in the package.
Power transformation parameter is estimated for different purposes.
Read objects from the AIDA file and make them available
as dataframes in R
R functions for adaptively constructing index models for
continuous, binary and survival outcomes. Implementation
requires loading R-pacakge "survival"
Continuous and discrete (count or categorical) estimation of density, probability mass function (p.m.f.) and regression functions are performed using  associated kernels. The cross-validation  technique and the local Bayesian procedure are also implemented for bandwidth selection.
Linear or cubic spline interpolation for irregular gridded data
Adaptive K-means algorithm with various threshold settings.
It support two distance metric:
Euclidean distance, Cosine distance (1 - cosine similarity)
In version 1.1, it contains one more threshold condition.
Augmented Lagrangian Adaptive Barrier Minimization
Algorithm for optimizing smooth nonlinear objective functions
with constraints. Linear or nonlinear equality and inequality
constraints are allowed.
It provides the density, distribution function, quantile function,
random number generator, likelihood function, moments and Maximum Likelihood estimators for a given sample, all this for
the three parameter Asymmetric Laplace Distribution defined
in Koenker and Machado (1999) useful for quantile regression.
EM algorithm for estimation of parameters and other methods in a quantile regression.
Determination of absolute protein quantities is necessary for multiple applications, such as mechanistic modeling of biological systems. Quantitative liquid chromatography tandem mass spectrometry (LC-MS/MS) proteomics can measure relative protein abundance on a system-wide scale. To estimate absolute quantitative information using these relative abundance measurements requires additional information such as heavy-labeled references of known concentration. Multiple methods have been using different references and strategies; some are easily available whereas others require more effort on the users end. Hence, we believe the field might benefit from making some of these methods available under an automated framework, which also facilitates validation of the chosen strategy. We have implemented the most commonly used absolute label-free protein abundance estimation methods for LC-MS/MS modes quantifying on either MS1-, MS2-levels or spectral counts together with validation algorithms to enable automated data analysis and error estimation. Specifically, we used Monte-carlo cross-validation and bootstrapping for model selection and imputation of proteome-wide absolute protein quantity estimation. Our open-source software is written in the statistical programming language R and validated and demonstrated on a synthetic sample.
Algorithmic experimental designs. Calculates exact and
approximate theory experimental designs for D,A, and I
criteria. Very large designs may be created. Experimental
designs may be blocked or blocked designs created from a
candidate list, using several criteria.  The blocking can be
done when whole and within plot factors interact.
algstat provides functionality for algebraic statistics in R.
Current applications include exact inference in log-linear models for
contingency table data, analysis of ranked and partially ranked data, and
general purpose tools for multivariate polynomials, building on the mpoly
package. To aid in the process, algstat has ports to Macaulay2, Bertini,
LattE-integrale and 4ti2.
Functions are provided to calculate the 'ALINE' Distance between words. The score is based on phonetic features represented using the Unicode-compliant International Phonetic Alphabet (IPA). Parameterized features weights are used to determine the optimal alignment and functions are provided to estimate optimum values.
A collection of functions that implement several algorithms for
generating age-length keys for fish populations from incomplete data.
Automated fitting of linear regression models and a
stepwise routine
A collection of tools for stochastic sensor error
characterization using the Allan Variance technique originally
developed by D. Allan.
This package contains tools for simulating alphanumeric alleles
from parent-offspring pedigree databases to later reconstruct the
corresponding non-recombinant haplotypes. Allelic simulations can be
implemented taking into account many different factors (such as number of
families, markers, alleles per marker, probability of missing genotypes,
recombination rate, etc). Haplotype reconstruction can be performed even
with missing data.
This package provides tools for the identification of unique of multilocus genotypes when both genotyping error and missing data may be present. The package is targeted at those working with large datasets and databases containing multiple samples of each individual, a situation that is common in conservation genetics, and particularly in non-invasive wildlife sampling applications. Functions explicitly incorporate missing data, and can tolerate allele mismatches created by genotyping error. If you use this tool, please cite the package using the journal article in Molecular Ecology Resources (Galpern et al., 2012).  Please use citation('allelematch') to find this. Due to changing CRAN policy, and the size and compile time of the vignettes, they can no longer be distributed with this package.  Please contact the package primary author, or visit the allelematch site for a complete vignette (http://nricaribou.cc.umanitoba.ca/allelematch/).  For users with access to academic literature, tutorial material is also available as supplementary material to the article describing this software.
Simulate the effect of management or demography on allele
retention and inbreeding accumulation in bottlenecked
populations of animals with overlapping generations.
This is the implementation in R+C of a new association
test described in "A fast, unbiased and exact allelic exact
test for case-control association studies" (Submitted).  It
appears that in most cases the classical chi-square test used
for testing for allelic association on genotype data is biased.
Our test is unbiased, exact but fast throught careful
optimization.
Contains functions possSpells.fnc and
batch.possSpells.fnc.
An R interface to the open source article level metrics platform
<https://github.com/articlemetrics/lagotto/> created by the Public Library
of Science (PLOS). A number of publishers are using the open source app
created by PLOS, so you can drop in a different base URL to the functions
in this package to get to not only PLOS data, but data for Crossref,
and more as the open source PLOS software is used.
Computation of the alpha-shape and alpha-convex
hull of a given sample of points in the plane. The concepts of
alpha-shape and alpha-convex hull generalize the definition of
the convex hull of a finite set of points. The programming is
based on the duality between the Voronoi diagram and Delaunay
triangulation. The package also includes a function that
returns the Delaunay mesh of a given sample of points and its
dual Voronoi diagram in one single object.
Given the parameters of a distribution, the package uses the concept of alpha-outliers by Davies and Gather (1993) to flag outliers in a data set. See Davies, L.; Gather, U. (1993): The identification of multiple outliers, JASA, 88 423, 782-792, doi: 10.1080/01621459.1993.10476339 for details.
The package alphashape3d presents the implementation in R of the alpha-shape of a finite set of points in the three-dimensional space. This geometric structure generalizes the convex hull and allows to recover the shape of non-convex and even non-connected sets in 3D, given a random sample of points taken into it. Besides the computation of the alpha-shape, the package alphashape3d provides users with functions to compute the volume of the alpha-shape, identify the connected components and facilitate the three-dimensional graphical visualization of the estimated set.
This package is a companion to the textbook S. Weisberg (2005),
"Applied Linear Regression," 3rd edition, Wiley. It includes all the
data sets discussed in the book (except one), and a few functions that
are tailored to the methods discussed in the book.  As of version 2.0.0,
this package depends on the car package. Many functions formerly
in alr3 have been renamed and now reside in car.
Data files have beeen lightly modified to make some data columns row labels.
This package is a companion to the textbook S. Weisberg (2014),
"Applied Linear Regression," 4rd edition, Wiley. It includes all the
data sets discussed in the book and one function to access the textbook's
website.
This package depends on the car package.  Many data files in this package
are included in the alr3 package as well, so only one of them should be
loaded.
Alternating least squares is often used to resolve
components contributing to data with a bilinear structure; the
basic technique may be extended to alternating constrained
least squares.  Commonly applied constraints include
unimodality, non-negativity, and normalization of components.
Several data matrices may be decomposed simultaneously by
assuming that one of the two matrices in the bilinear
decomposition is shared between datasets.
Using of the accelerated line search algorithm  for simultaneously diagonalize a set of symmetric positive definite matrices.
This package creates the optimal (D, U and I) designs for
the accelerated life testing with right censoring or interval censoring.
It uses generalized linear model (GLM) approach to derive the asymptotic
variance-covariance matrix of regression coefficients. The failure time
distribution is assumed to follow Weibull distribution with a known shape
parameter and log-linear link functions are used to model the relationship
between failure time parameters and stress variables. Any number of stress
factors can be used but no more than 3 are recommended due to the
computational time. ALTopt package also provides several plotting functions
including contour plot, Fraction of Use Space (FUS) plot and Variance
Dispersion graphs of Use Space (VDUS) plot.
Tools for Clustering and Principal Component Analysis
(With robust methods, and parallelized functions).
An Approximated Most Average Powerful Test with Optimal
FDR Control with Application to RNA-seq Data
This package provides a flexible statistical framework for generating optimal
epidemiological interventions that are designed to minimize the total expected
cost of an emerging epidemic while simultaneously propagating uncertainty regarding
underlying disease parameters through to the decision process via Bayesian posterior
inference.  The strategies produced through this framework are adaptive: vaccination
schedules are iteratively adjusted to reflect the anticipated trajectory of the
epidemic given the current population state and updated parameter estimates.
Amelia II "multiply imputes" missing data in a single cross-section
(such as a survey), from a time series (like variables collected for
each year in a country), or from a time-series-cross-sectional data
set (such as collected by years for each of several countries).
Amelia II implements our bootstrapping-based algorithm that gives
essentially the same answers as the standard IP or EMis approaches,
is usually considerably faster than existing approaches and can
handle many more variables.  Unlike Amelia I and other statistically
rigorous imputation software, it virtually never crashes (but please
let us know if you find to the contrary!).  The program also
generalizes existing approaches by allowing for trends in time series
across observations within a cross-sectional unit, as well as priors
that allow experts to incorporate beliefs they have about the values
of missing cells in their data.  Amelia II also includes useful
diagnostics of the fit of multiple imputation models.  The program
works from the R command line or via a graphical user interface that
does not require users to know R.
Analysis of dyadic network and relational data using additive and
multiplicative effects (AME) models. The basic model includes
regression terms, the covariance structure of the social relations model
(Warner, Kenny and Stoto (1979), Wong (1982)), and multiplicative factor
models (Hoff(2009)). Four different link functions accommodate different
relational data structures, including binary/network data (bin), normal
relational data (nrm), ordinal relational data (ord) and data from
fixed-rank nomination schemes (frn).  Several of these link functions are
discussed in Hoff, Fosdick, Volfovsky and Stovel (2013). Development of this
software was supported in part by NIH grant R01HD067509.
This package includes a set of pricing functions for
American call options. The following cases are covered: Pricing
of an American call using the standard binomial approximation;
Hedge parameters for an American call with a standard binomial
tree; Binomial pricing of an American call with continuous
payout from the underlying asset; Binomial pricing of an
American call with an underlying stock that pays proportional
dividends in discrete time; Pricing of an American call on
futures using a binomial approximation; Pricing of a currency
futures American call using a binomial approximation; Pricing
of a perpetual American call. The user should kindly notice
that this material is for educational purposes only. The codes
are not optimized for computational efficiency as they are
meant to represent standard cases of analytical and numerical
solution.
AMGET allows to simply and rapidly creates highly informative diagnostic plots for ADAPT 5 models. Features include data analysis prior any modeling form either NONMEM or ADAPT shaped dataset, goodness-of-fit plots (GOF), posthoc-fits plots (PHF), parameters distribution plots (PRM) and visual predictive check plots (VPC) based on ADAPT output.
This package implements the adaptive mixed lasso (AML) method proposed by Wang et al.(2011).  AML applies adaptive lasso penalty to a large number of predictors,  thus producing a sparse model, while accounting for the population structure in the linear mixed model framework.  The package here is primarily designed for application to genome wide association studies or genomic prediction in plant breeding populations, though it could be applied to other settings of linear mixed models.
A function to calculate spatial clusters using the Getis-Ord local statistic. It searches
irregular clusters (ecotopes) on a map.
This package was born to release the TAO robust neural
network algorithm to the R users. It has grown and I think it
can be of interest for the users wanting to implement their own
training algorithms as well as for those others whose needs lye
only in the "user space".
Increasingly powerful techniques for high-throughput sequencing open the possibility to comprehensively characterize microbial communities, including rare species. However, a still unresolved issue are the substantial error rates in the experimental process generating these sequences. To overcome these limitations we propose an approach, where each sample is split and the same amplification and sequencing protocol is applied to both halves. This procedure should allow to detect likely PCR and sequencing artifacts, and true rare species by comparison of the results of both parts. The AmpliconDuo package, whereas amplicon duo from here on refers to the two amplicon data sets of a split sample, is intended to help interpret the obtained read frequency distribution across split samples, and to filter the false positive reads.
Performs simple and canonical CA (covariates on rows/columns) on a two-way frequency table (with missings) by means of SVD. Different scaling methods (standard, centroid, Benzecri, Goodman) as well as various plots including confidence ellipsoids are provided.
Fits Modern Analogue Technique and Weighted Averaging transfer
function models for prediction of environmental data from species
data, and related methods used in palaeoecology.
Provides additional functionality for the analogue package
that is not required by all users of the main package.
Class with methods to read and execute R commands described as steps in a CSV file.
Functions for I/O, visualisation and analysis of
functional Magnetic Resonance Imaging (fMRI) datasets stored in
the ANALYZE or NIFTI format.
Bidirectional connector to Anametrix API
This package contains functions for
normalisation,differentially analysis of microarray data and
others functions implementing recent methods developed by the
Statistic and Genom Team from UMR 518 AgroParisTech/INRA Appl.
Math. Comput. Sc.
Assigns genetic ancestry to an individual, relating to well studied populations, with world-wide coverage, and studies relationships between local and global populations.
Tools for analyzing survey responses with anchors.
AODE achieves highly accurate classification by averaging over all
of a small space.
Andrews curves for visualization of multidimensional data
This package provides a comprehensive system for selecting
variables and weighting data to match the specifications of the
American National Election Studies.  The package includes
methods for identifying discrepant variables, raking data, and
assessing the effects of the raking algorithm.  It also allows
automated re-raking if target variables fall outside identified
bounds and allows greater user specification than other
available raking algorithms. A variety of simple weighted
statistics that were previously in this package (version .55
and earlier) have been moved to the package 'weights.'
The package implements ANFIS Type 3 Takagi and Sugeno's fuzzy
if-then rule network with the following features: (1) Independent number of
membership functions(MF) for each input, and also different MF extensible
types. (2) Type 3 Takagi and Sugeno's fuzzy if-then rule (3) Full Rule
combinations, e.g. 2 inputs 2 membership funtions -> 4 fuzzy rules (4)
Hibrid learning, i.e. Descent Gradient for precedents and Least Squares
Estimation for consequents (5) Multiple outputs.
Create an angler population, sample the population with a user-specified survey times, and calculate metrics from a bus route-type creel survey.
2D and 3D animal tracking data can be used to reconstruct tracks through time/space with correction based on known positions. 3D visualization of animal position and attitude.
This package contains a variety of functions for animations in
statistics, covering areas such as probability theory, mathematical
statistics, multivariate statistics, nonparametric statistics, sampling
survey, linear models, time series, computational statistics, data mining
and machine learning. These functions might be helpful in teaching
statistics and data analysis. Also provided in this package are several
approaches to save animations to various formats, e.g. Flash, GIF, HTML
pages, PDF and videos (saveSWF(), saveGIF(), saveHTML(), saveLatex(), and
saveVideo() respectively). PDF animations can be inserted into Sweave/knitr
easily.
Simple animated versions of basic R plots, using the 'animation'
package. Includes animated versions of plot, barplot, persp, contour,
filled.contour, hist, curve, points, lines, text, symbols, segments, and
arrows.
Annotate multiple lists from a specific annotation file.
The tools in this package are intended to help researchers assess multiple treatment-covariate interactions with data from a parallel-group randomized controlled clinical trial.
Fits ideal point model described in Carroll, Lewis, Lo, Poole and Rosenthal, "The Structure of Utility in Models of Spatial Voting," American Journal of Political Science 57(4): 1008--1028.
Offers a complete and interactive GUI to work out Mean Measures of Divergence, especially for anthropologists.
Statistical methodologies especially developed to analyze anthropometric data. These methods are aimed 		at providing effective solutions to some commons problems related to Ergonomics and Anthropometry. They are based on clustering, the 		statistical concept of data depth, statistical shape analysis and archetypal analysis.
A collection of tools for antitrust practitioners, including the ability to calibrate different consumer demand systems and simulate the effects mergers under different competitive regimes.
A complete programmatic interface to the AntWeb database from the
California Academy of Sciences.
This package provides a set of functions to analyse
overdispersed counts or proportions. Most of the methods are
already available elsewhere but are scattered in different
packages. The proposed functions should be considered as
complements to more sophisticated methods such as generalized
estimating equations (GEE) or generalized linear mixed effect
models (GLMM).
This package provides functions to analyse overdispersed
counts or proportions.  These functions should be considered as
complements to more sophisticated methods such as generalized
estimating equations (GEE) or generalized linear mixed effect
models (GLMM). aods3 is an S3 re-implementation of the
deprecated S4 package aod.
This package implements AO transformations for binary response variables in Generalized Linear Models (GLMs) and bounded response variables in Quantile Regression (QR) models. The Maximum Likelihood Estimate (MLE) of the transformation parameter is obtained using the profile log likelihood method
Another implementation of object-orientation in R. Has reference
semantics and is built around S4.
Provides tools for analyzing adverse outcome pathways
(AOPs) that are either 1) developed in and exported from Cytoscape or 2)
already exist in R as a graph object.
'Aoristic' is one of the past tenses in Greek and represents an
uncertain occurrence time.  Aoristic analysis suggested by Ratcliffe (2002)
is a method to analyze events that do not have exact times of occurrence
but have starting times and ending times.  For example, a property crime
database (e.g., burglary) typically has a starting time and ending time of
the crime that could have occurred.  Aoristic analysis allocates the
probability of a crime incident occurring at every hour over a 24-hour
period. The probability is aggregated over a study area to create an
aoristic graph.
Using crime incident data with lat/lon, DateTimeFrom, and
DateTimeTo, functions in this package create a total of three (3) kml
files and corresponding aoristic graphs: 1) density and contour; 2) grid
count; and 3) shapefile boundary. (see also:
https://sites.google.com/site/georgekick/software)
Provides a function to process Apache Log Combined files. The main functionality is to extract data from log files to data frames.
Functions for age-period-cohort analysis. The data can be organised in matrices indexed by age-cohort, age-period or cohort-period. The data can include dose and response or just doses.  The statistical model is a generalized linear model (GLM) allowing for 3,2,1 or 0 of the age-period-cohort factors. The canonical parametrisation of Kuang, Nielsen and Nielsen (2008) is used. Thus, the analysis does not rely on ad hoc identification.
The apcluster package implements Frey's and Dueck's
Affinity Propagation clustering in R.  The algorithms are
largely analogous to the Matlab code published by Frey and
Dueck. The package further provides leveraged affinity
propagation and an algorithm for exemplar-based agglomerative
clustering that can also be used to join clusters obtained
from affinity propagation. Various plotting functions are
available for analyzing clustering results.
Functions for reading, writing, plotting, and manipulating phylogenetic trees, analyses of comparative data in a phylogenetic framework, ancestral character analyses, analyses of diversification and macroevolution, computing distances from allelic and nucleotide data, reading and writing nucleotide sequences as well as importing from BioConductor, and several tools such as Mantel's test, generalized skyline plots, graphical exploration of phylogenetic data (alex, trex, kronoviz), estimation of absolute evolutionary rates and clock-like trees using mean path lengths and penalized likelihood. Phylogeny estimation can be done with the NJ, BIONJ, ME, MVR, SDM, and triangle methods, and several methods handling incomplete distance matrices (NJ*, BIONJ*, MVR*, and the corresponding triangle method). Some functions call external applications (PhyML, Clustal, T-Coffee, Muscle) whose results are returned into R.
Toolkit for the analysis of multiple gene data. Apex implements the new S4 classes "multidna", "multiphyDat" and associated methods to handle aligned DNA sequences from multiple genes.
This package is a unofficial companion to the textbook "Applied
Logistic Regression" by D.W. Hosmer, S. Lemeshow and
R.X. Sturdivant (3rd ed.). See ?aplore3 for more info.
set of functions for drawing some special plots:
stem.leaf plots a stem and leaf plot,
stem.leaf.backback plots back-to-back versions of stem and leafs,
bagplot plots a bagplot,
skyline.hist plots several histgramm in one plot of a one dimensional data set,
plotsummary plots a graphical summary of a data set with one or more variables,
plothulls plots sequentially hulls of a bivariate data set,
faces plots chernoff faces,
spin3R for an inspection of a 3-dim point cloud,
slider functions for interactive graphics.
apmsWAPP provides a complete workflow for the analysis of AP-MS data (replicate single-bait purifications including negative controls) based on spectral counts.
It comprises pre-processing, scoring and postprocessing of protein interactions.
A final list of interaction candidates is reported: it provides a ranking of the candidates according
to their p-values which allow estimating the number of false-positive interactions.
This package wraps Fortran code by F. D. Colavecchia and
G. Gasaneo for computing the Appell's F1 hypergeometric
function. Their program uses Fortran code by L. F. Shampine and
H. A. Watts. Moreover, the hypergeometric function with complex
arguments is computed with Fortran code by N. L. J. Michel and
M. V. Stoitsov or with Fortran code by R. C.  Forrey. See the
function documentations for the references and please cite them
accordingly.
Approximate Path for Penalized Likelihood Estimators for
Generalized Linear Models penalized by LASSO or MCP
A few functions and several data set for the Springer book 'Applied Predictive Modeling'
Amyloid propensity prediction neural network (APPNN) is an amyloidogenicity propensity predictor based on a machine learning approach through recursive feature selection and feed-forward neural networks, taking advantage of newly published sequences with experimental, in vitro, evidence of amyloid formation.
Performs Bayesian prediction of complex computer codes
when fast approximations are available: M. C. Kennedy and A. O'Hagan
2000, Biometrika 87(1):1-13
An unofficial companion to the textbook "Applied Regression
Analysis" by N.R. Draper and H. Smith (3rd Ed., 1998) including all the
accompanying datasets.
Assists the evaluation of whether and
where to focus code optimization, using Amdahl's law and visual aids
based on line profiling. Amdahl's profiler organises profiling output
files (planned inclusion of memory profiling in the next major release)
in a visually appealing way. It is meant to help to balance development
vs. execution time by helping to identify the most promising sections
of code to optimize and projecting potential gains. The package is
an addition to R's standard profiling tools and is not a wrapper for them.
Contains functions designed to facilitate the loading
and transformation of 'Agricultural Production Systems Simulator'
output files <https://www.apsim.info>. Input meteorological data
(also known as "weather" or "met") files can also be generated
from user supplied data.
The Agricultural Production Systems sIMulator (APSIM) is a widely
used simulator of agricultural systems.  This package includes
functions to create, edit and run APSIM simulations from R.  It
also includes functions to visualize the results of an APSIM simulation
and perform sensitivity/uncertainty analysis of APSIM either via functions
in the sensitivity package or by novel emulator-based functions.
For more on APSIM including download instructions go to
\url{www.apsim.info}.
Formats latex tables from one or more model objects
side-by-side with standard errors below, not unlike tables
found in such journals as the American Political Science
Review.
This package focuses on asymmetric price transmission (APT) between two time series. It contains functions for linear and nonlinear threshold cointegration, and furthermore, symmetric and asymmetric error correction model. A graphical user interface is also included for major functions included in the package, so users can also use these functions in a more intuitive way.
apTreeshape is mainly dedicated to simulation and analysis
of phylogenetic tree topologies using statistical indices. It
is a companion library of the 'ape' package. It provides
additional functions for reading, plotting, manipulating
phylogenetic trees. It also offers convenient web-access to
public databases, and enables testing null models of
macroevolution using corrected test statistics.  Trees of class
"phylo" (from 'ape' package) can be converted easily.
This package contains functions to help display air quality model output and monitoring data, such as creating color scatterplots, color legends, etc.
A collection of algorithms related to modeling of soil resources, soil classification, soil profile aggregation, and visualization.
This R extension provides methods to use a standalone ActiveQuant
Master Server from within R. Currently available features include fetching
and storing historical data, receiving and sending live data.  Several
utility methods for simple data transformations are included, too. For
support requests, please join the mailing list at
https://r-forge.r-project.org/mail/?group_id=1518
AquaEnv is an integrated development toolbox for aquatic
chemical model generation focused on (ocean) acidification and
CO2 air-water exchange.  It contains all elements necessary to
model the pH, the related CO2 air-water exchange, as well as
aquatic acid-base chemistry in general for an arbitrary marine,
estuarine or freshwater system. Also chemical batches can be
modelled.  Next to the routines necessary to calculate desired
information, AquaEnv also contains a suite of tools to
visualize this information.  Furthermore, AquaEnv can not only
be used to build dynamic models of aquatic systems, but it can
also serve as a simple desktop tool for the experimental
aquatic chemist to generate and visualize all possible derived
information from a set of measurements with one single easy to
use R function.  Additionally, the sensitivity of the system to
variations in the input variables can be visualized. The
corresponding publication in Aquatic Geochemistry can be found
at http://www.springerlink.com/content/l4747417w0k50463/
This package corresponds to the implementation of the robust approach for estimating change-points in the mean of an AR(1) Gaussian process by using the methodology described in the paper arXiv 1403.1958
Processes noble gas mass spectrometer data to determine the isotopic composition of argon (comprised of 36Ar, 37Ar, 38Ar, 39Ar and 40Ar) released from neutron-irradiated potassium-bearing minerals. Then uses these compositions to calculate precise and accurate geochronological ages for multiple samples as well as the covariances between them. Error propagation is done in matrix form, which jointly treats all samples and all isotopes simultaneously at every step of the data reduction process. The package includes methods for regression of the time-resolved mass spectrometer signals to t=0 ('time zero') for both single- and multi-collector instruments, blank correction, mass fractionation correction, detector intercalibration, decay corrections, interference corrections, interpolation of the irradiation parameter between neutron fluence monitors, and (weighted mean) age calculation. All operations are performed on the logs of the ratios between the different argon isotopes so as to properly treat them as 'compositional data', sensu Aitchison [1986, The Statistics of Compositional Data, Chapman and Hall].
The archdata package provides several types of data that are typically used in archaeological research.
The main function archetypes implements a
framework for archetypal analysis supporting arbitrary
problem solving mechanisms for the different conceptual
parts of the algorithm.
Analysis of complex plant root system architectures (RSA) using the output files created by Data Analysis of Root Tracings (DART), an open-access software dedicated to the study of plant root architecture and development across time series (Le Bot et al (2010) DART: a software to analyse root system architecture and development from captured images, Plant and Soil, 326, 261--273), and RSA data encoded with the Root System Markup Language (RSML) (Lobet et al (2015) Root System Markup Language: Toward a Unified Root Architecture Description Language, Plant Physiology, 167, 617--627).
Data exploration and modelling is a process in which a lot of data
artifacts are produced. Artifacts like: subsets, data aggregates, plots,
statistical models, different versions of data sets and different versions
of results. The more projects we work with the more artifacts are produced
and the harder it is to manage these artifacts. Archivist helps to store
and manage artifacts created in R. Archivist allows you to store selected
artifacts as a binary files together with their metadata and relations.
Archivist allows to share artifacts with others, either through shared
folder or github. Archivist allows to look for already created artifacts by
using it's class, name, date of the creation or other properties. Makes it
easy to restore such artifacts. Archivist allows to check if new artifact
is the exact copy that was produced some time ago. That might be useful
either for testing or caching.
Package ArDec implements autoregressive-based
decomposition of a time series based on the constructive
approach in West (1997). Particular cases include the
extraction of trend and seasonal components.
Activated Region Fitting (ARF) is an analysis method for fMRI data.
Simulates, fits, and predicts long-memory and anti-persistent time series, possibly mixed with ARMA, regression, transfer-function components. Exact methods (MLE, forecasting simulation) are used.
Functions to facilitate the estimation of Arfima-MLM models for repeated cross-sectional data and pooled cross-sectional time-series data (see Lebo and Weber 2015). The estimation procedure uses double filtering with Arfima methods to account for autocorrelation in repeated cross-sectional data followed by multilevel modeling (MLM) to estimate aggregate as well as individual-level parameters simultaneously.
Functions to filters animal satellite tracking data
obtained from Argos. It is especially indicated for telemetry
studies of marine animals, where Argos locations are
predominantly of low-quality.
A command line parser to
be used with Rscript to write "#!" shebang scripts that gracefully
accept positional and optional arguments and automatically generate usage.
Cross-platform command-line argument parser written purely in R
with no external dependencies. It is useful with the Rscript
front-end and facilitates turning an R script into an executable script.
The typical process of checking arguments in functions is
iterative.  In this process, an error may be returned and the user may fix
it only to receive another error on a different argument.  'ArgumentCheck'
facilitates a more helpful way to perform argument checks allowing the
programmer to run all of the checks and then return all of the errors and
warnings in a single message.
R functions for processing 'lm', 'glm', 'svy.glm', 'merMod' and 'polr' outputs.
Arnold Schwarzenegger movie weekend box office records from
1982-2014
A cross-platform R framework that facilitates processing of any number of Affymetrix microarray samples regardless of computer system.  The only parameter that limits the number of chips that can be processed is the amount of available disk space.  The Aroma Framework has successfully been used in studies to process tens of thousands of arrays.  This package has actively been used since 2006.
DEPRECATED. Do not start building new projects based on this package. (The (in-house) APD file format was initially developed to store Affymetrix probe-level data, e.g. normalized CEL intensities.  Chip types can be added to APD file and similar to methods in the affxparser package, this package provides methods to read APDs organized by units (probesets).  In addition, the probe elements can be arranged optimally such that the elements are guaranteed to be read in order when, for instance, data is read unit by unit.  This speeds up the read substantially.  This package is supporting the Aroma framework and should not be used elsewhere.)
Methods for analyzing DNA copy-number data.  Specifically,
this package implements the multi-source copy-number normalization (MSCN)
method for normalizing copy-number data obtained on various platforms and
technologies.  It also implements the TumorBoost method for normalizing
paired tumor-normal SNP data.
Core methods and classes used by higher-level aroma.* packages
part of the Aroma Project, e.g. aroma.affymetrix and aroma.cn.
Tools for simulating data generated by direct observation
recording. Behavior streams are simulated based on an alternating renewal
process, given specified distributions of event durations and interim
times. Different procedures for recording data can then be applied to the
simulated behavior streams. Functions are provided for the following
recording methods: continuous duration recording, event counting, momentary
time sampling, partial interval recording, and whole interval recording.
Functions for Arps decline-curve analysis on oil and gas data. Includes exponential, hyperbolic, harmonic, and hyperbolic-to-exponential models as well as the preceding with initial curtailment. Functions included for computing rate, cumulative production, instantaneous decline, EUR, time to economic limit, and performing least-squares best fits.
Provides functions to compute the main characteristics of the
following queueing models: M/M/1, M/M/s, M/M/1/k, M/M/s/k, M/M/1/Inf/H, M/
M/s/Inf/H, M/M/s/Inf/H with Y replacements, M/M/Inf, Open Jackson Networks
and Closed Jackson Networks. Moreover, it is also possible to simulate
similar queueing models with any type of arrival or service distribution: G/
G/1, G/G/s, G/G/1/k, G/G/s/k, G/G/1/Inf/H, G/G/s/Inf/H, G/G/s/Inf/H with Y
replacements, Open Networks and Closed Networks. Finally, contains functions
for fit data to a statistic distribution.
Fast adaptive binarization for numeric data arrays,
particularly designed for high-throughput biological datasets.
Includes options to filter out rows of the array with
insufficient magnitude or variation (based on gap statistic).
Some convenient functions to work with arrays
Adaptive Rejection Sampling, Original version
Reversible Jump MCMC (RJ-MCMC)sampling for approximating the posterior
distribution of a time varying regulatory network, under the Auto Regressive TIme VArying
(ARTIVA) model (for a detailed description of the algorithm, see Lebre et al. BMC Systems
Biology, 2010). Starting from time-course gene expression measurements for a gene of
interest (referred to as "target gene") and a set of genes (referred to as "parent genes")
which may explain the expression of the target gene, the ARTIVA procedure identifies
temporal segments for which a set of interactions occur between the "parent genes" and the
"target gene". The time points that delimit the different temporal segments are referred to
as changepoints (CP).
The Aligned Rank Transform for nonparametric
factorial ANOVAs as described by Wobbrock et al.
A package for calculating gene and pathway p-values using the Adaptive Rank Truncated Product test
Provides the infrastructure for representing,
manipulating and analyzing transaction data and patterns (frequent
itemsets and association rules). Also provides interfaces to
C implementations of the association mining algorithms Apriori and Eclat
by C. Borgelt.
NBMiner is an implementation of the model-based mining algorithm
for mining NB-frequent itemsets presented in "Michael Hahsler. A
model-based frequency constraint for mining associations from
transaction data. Data Mining and Knowledge Discovery, 13(2):137-166,
September 2006." In addition an extension for NB-precise rules is
implemented.
Add-on for arules to handle and mine frequent sequences.
Provides interfaces to the C++ implementation of cSPADE by
Mohammed J. Zaki.
Extends package arules with various visualization techniques for association rules and itemsets. The package also includes several interactive visualizations for rule exploration.
An interface to the API for arXiv, a repository of
electronic preprints for computer science, mathematics, physics,
quantitative biology, quantitative finance, and statistics.
Contains functions from: Aho, K. (2014) Foundational and Applied Statistics for Biologists using R.  CRC/Taylor and Francis, Boca Raton, FL.
Coerce R object to asciidoc, txt2tags, restructuredText,
org, textile or pandoc syntax.  Package comes with a set of
drivers for Sweave.
Package runs simulations for adaptive seamless designs with and without early outcomes
for treatment selection and subpopulation type designs.
Some hypothesis test functions with a focus on non-asymptotic methods that have matching confidence intervals.
Functions for Accurate and Speedy linkage map construction, manipulation and diagnosis of Doubled Haploid, Backcross and Recombinant Inbred 'R/qtl' objects. This includes extremely fast linkage map clustering and optimal marker ordering using 'MSTmap' (see Wu et al.,2008).
A collection of functions for computing centrographic
statistics (e.g., standard distance, standard deviation
ellipse, standard deviation box) for observations taken at
point locations. Separate plotting functions have been
developed for each measure. Users interested in writing results
to ESRI shapefiles can do so by using results from aspace
functions as inputs to the convert.to.shapefile and
write.shapefile functions in the shapefiles library. The aspace
library was originally conceived to aid in the analysis of
spatial patterns of travel behaviour (see Buliung and Remmel,
2008). Major changes in the current version include (1) removal
of dependencies on several external libraries (e.g., gpclib,
maptools, sp), (2) the separation of plotting and estimation
capabilities, (3) reduction in the number of functions, and (4)
expansion of analytical capabilities with additional functions
for descriptive analysis and visualization (e.g., standard
deviation box, centre of minimum distance, central feature).
This package allows to make inference on the properties of causal genetic
variants in linkage disequilibrium with genotyped markers. In a first step,
we select a subset of variants using a score statistic for affected
sib-pairs. In a second step, on the selected subset, we make
inference on causal genetic variants in the considered region.
Contains various functions for optimal scaling. One function performs optimal scaling by maximizing an aspect (i.e. a target function such as the sum of eigenvalues, sum of squared correlations, squared multiple correlations, etc.) of the corresponding correlation matrix. Another function performs implements the LINEALS approach for optimal scaling by minimization of an aspect based on pairwise correlations and correlation ratios. The resulting correlation matrix and category scores can be used for further multivariate methods such as structural equation models.
R codes for the (adaptive) Sum of Powered Score ('SPU' and 'aSPU') tests, inverse variance weighted Sum of Powered score ('SPUw' and 'aSPUw') tests and gene-based and some pathway based association tests (Pathway based Sum of Powered Score tests ('SPUpath') and adaptive 'SPUpath' ('aSPUpath') test, Gene-based Association Test that uses an extended Simes procedure ('GATES'), Hybrid Set-based Test ('HYST'), extended version of 'GATES' test for pathway-based association testing ('Gates-Simes'). ). The tests can be used with genetic and other data sets with covariates. The response variable is binary or quantitative.
Assists in automating the testing of terms in mixed models when 'asreml' is used
to fit the models. The content falls into the following natural groupings: (i) Data, (ii) Object
manipulation functions, (iii) Model modification functions, (iv) Model testing functions,
(v) Model diagnostics functions, (vi) Prediction production and presentation functions,
(vii) Response transformation functions, and (viii) Miscellaneous functions. A history of the
fitting of a sequence of models is kept in a data frame. Procedures are available for choosing
models that conform to the hierarchy or marginality principle and for displaying predictions
for significant terms in tables and graphs. The package 'asreml' provides a computationally
efficient algorithm for fitting mixed models using Residual Maximum Likelihood. It can be
purchased from 'VSNi' (http://www.vsni.co.uk/) as 'asreml-R', who will supply a zip file for
local installation/updating.
Lots of is_* functions to check the state of your variables,
and assert_* functions to throw errors if they aren't in the right form.
A minimal set of predicates and assertions used by the assertive
package.  This is mainly for use by other package developers who want to
include run-time testing features in their own packages.  End-users will
usually want to use assertive directly.
Provides functionality to assert conditions
that have to be met so that errors in data used in
analysis pipelines can fail quickly. Similar to
'stopifnot()' but more powerful, friendly, and easier
for use in pipelines.
assertthat is an extension to stopifnot() that makes it
easy to declare the pre and post conditions that you code should
satisfy, while also producing friendly error messages so that your
users know what they've done wrong.
Calculates the optimal price of assets (such as
airline flight seats, hotel room bookings) whose value
becomes zero after a fixed ``expiry date''.  Assumes
potential customers arrive (possibly in groups) according
to a known inhomogeneous Poisson process.  Also assumes a
known time-varying elasticity of demand (price sensitivity)
function.  Uses elementary techniques based on ordinary
differential equations.  Uses the package deSolve to effect
the solution of these differential equations.
A comprehensive package for fitting various non-parametric/semi-parametric linear/nonlinear fixed/mixed smoothing spline models.
Some procedures including EIGENSTRAT (a procedure for
detecting and correcting for population stratification through
searching for the eigenvectors in genetic association studies),
PCoC (a procedure for correcting for population stratification
through calculating the principal coordinates and the clustering
of the subjects), Tracy-Wisdom test (a procedure for detecting
the significant eigenvalues of a matrix), distance regression (a
procedure for detecting the association between a distance matrix
and some independent variants of interest), single-marker test (a
procedure for identifying the association between the genotype at
a biallelic marker and a trait using the Wald test or the Fisher
exact test), MAX3 (a procedure for testing for the association
between a single nucleotide polymorphism and a binary phenotype
using the maximum value of the three test statistics derived for
the recessive, additive, and dominant models), nonparametric trend
test (a procedure for testing for the association between a genetic
variant and a non-normal distributed quantitative trait based on the
nonparametric risk), and nonparametric MAX3 (a procedure for testing
for the association between a biallelic single nucleotide polymorphism
and a quantitative trait using the maximum value of the three
nonparametric trend tests derived for the recessive, additive, and
dominant models), which are commonly used in genetic association studies.
R package with statistical tests and methods for genetic
association studies with emphasis on rare variants and binary (dichotomous)
traits
Aster models are exponential family regression models for life
history analysis.  They are like generalized linear models except that
elements of the response vector can have different families (e. g.,
some Bernoulli, some Poisson, some zero-truncated Poisson, some normal)
and can be dependent, the dependence indicated by a graphical structure.
Discrete time survival analysis, zero-inflated Poisson regression, and
generalized linear models that are exponential family (e. g., logistic
regression and Poisson regression with log link) are special cases.
Main use is for data in which there is survival over discrete time periods
and there is additional data about what happens conditional on survival
(e. g., number of offspring).  Uses the exponential family canonical
parameterization (aster transform of usual parameterization).
Aster models are exponential family regression models for life
history analysis.  They are like generalized linear models except that
elements of the response vector can have different families (e. g.,
some Bernoulli, some Poisson, some zero-truncated Poisson, some normal)
and can be dependent, the dependence indicated by a graphical structure.
Discrete time survival analysis, zero-inflated Poisson regression, and
generalized linear models that are exponential family (e. g., logistic
regression and Poisson regression with log link) are special cases.
Main use is for data in which there is survival over discrete time periods
and there is additional data about what happens conditional on survival
(e. g., number of offspring).  Uses the exponential family canonical
parameterization (aster transform of usual parameterization).
Unlike the aster package, this package does dependence groups (nodes of
the graph need not be conditionally independent given their predecessor
node), including multinomial and two-parameter normal as families.  Thus
this package also generalizes mark-capture-recapture analysis.
The astro package provides a series of functions, tools and routines in everyday use within astronomy. Broadly speaking, one may group these functions into 7 main areas, namely: cosmology, FITS file manipulation, the Sersic function, plotting, data manipulation, statistics and general convenience functions and scripting tools.
Routines for astrochronologic testing, astronomical time scale construction, and time series analysis. Also included are a range of statistical analysis and modeling routines that are relevant to time scale development and paleoclimate analysis.
A collection of 19 datasets from contemporary astronomical research.  They are described the textbook `Modern Statistical Methods for Astronomy with R Applications' by Eric D. Feigelson and G. Jogesh Babu (Cambridge University Press, 2012, Appendix C) or on the website of Penn State's Center for Astrostatistics (http://astrostatistics.psu.edu/datasets).  These datasets can be used to exercise methodology involving: density estimation; heteroscedastic measurement errors; contingency tables; two-sample hypothesis tests; spatial point processes; nonlinear regression; mixture models; censoring and truncation; multivariate analysis; classification and clustering; inhomogeneous Poisson processes; periodic and stochastic time series analysis.
Miscellaneous astronomy functions, utilities, and data.
Several dozen low-level utilities and codes from the Interactive Data Language (IDL) Astronomy Users Library (http://idlastro.gsfc.nasa.gov) are implemented in R.  They treat: time, coordinate and proper motion transformations; terrestrial precession and nutation, atmospheric refraction and aberration, barycentric corrections, and related effects; utilities for astrometry, photometry, and spectroscopy; and utilities for planetary, stellar, Galactic, and extragalactic science.
Data sets and scripts for Time Series Analysis and Its Applications: With R Examples by Shumway and Stoffer, 3rd edition
The visual predictive checks are well-known method to validate the
nonlinear mixed effect model, especially in pharmacometrics area.
The average shifted visual predictive checks are the newly
developed method of Visual predictive checks combined with
the idea of the average shifted histogram.
Estimation of regression models for sparse asynchronous longitudinal observations, where time-dependent response and covariates are mismatched and observed intermittently within subjects. Kernel weighted estimating equations are used for generalized linear models with either time-invariant or time-dependent coefficients.
A set of routines written in the S language
that calculate power and related quantities utilizing asymptotic
likelihood ratio methods.
Nonparametric estimation and inference for average treatment effects based on covariate balancing.
A collection of statistical simulation and computation tools with a GTK GUI, to help teach statistical concepts and compute probabilities. Two domains are covered: I. Understanding (Central-Limit Theorem and the Normal Distribution, Distribution of a sample mean, Distribution of a sample variance, Probability calculator for common distributions), and II. Elementary Bayesian Statistics (bayesian inference on proportions, contingency tables, means and variances, with informative and noninformative priors).
Uses adaptive diagnostics to tune and run a random walk Metropolis MCMC algorithm, to converge to a specified target distribution and estimate means of functionals.
This package provides functions for smart sampling and sensitivity analysis for metrology applications, including computationally expensive problems.
Calculates acoustic traveltimes and ray paths in 1-D,
linear atmospheres.  Later versions will support arbitrary 1-D
atmospheric models, such as radiosonde measurements and
standard reference atmospheres.
Contains some tools for testing, analyzing time series data and
fitting popular time series models such as ARIMA, Moving Average and Holt
Winters, etc. Most functions also provide nice and clear outputs like SAS
does, such as identify, estimate and forecast, which are the same statements
in PROC ARIMA in SAS.
Provides functions for retrieving time-series and related
meta-data such as entities, metrics, and tags from the Axibase
Time-Series Database (ATSD). ATSD is a non-relational clustered
database used for storing performance measurements from IT infrastructure
resources: servers, network devices, storage systems, and applications.
Estimates population (etiological) attributable risk for
unmatched, pair-matched or set-matched case-control designs and returns a
list containing the estimated attributable risk, estimates of coefficients,
and their standard errors, from the (conditional, If necessary) logistic
regression used for estimating the relative risk.
This package includes functions to compute the area under the curve of selected measures: The area under the sensitivity curve (AUSEC), the area under the specificity curve (AUSPC), the area under the accuracy curve (AUACC), and the area under the receiver operating characteristic curve (AUROC). The curves can also be visualized. Support for partial areas is provided.
Variable selection using Random Forest based on optimizing
the area-under-the ROC curve (AUC) of the Random Forest.
Interfaces to audio devices (mainly sample-based) from R to allow recording and playback of audio. Built-in devices include Windows MM, Mac OS X AudioUnits and PortAudio (the last one is very experimental).
Creates audio representations of common plots in R
Two Bayesian methods for Accounting Populations
Implementation of the sparse autoencoder in R environment, following the notes of Andrew Ng (http://www.stanford.edu/class/archive/cs/cs294a/cs294a.1104/sparseAutoencoder.pdf). The features learned by the hidden layer of the autoencoder (through unsupervised learning of unlabeled data) can be used in constructing deep belief neural networks.
This package performs an automatic interpolation by automatically estimating the variogram and then calling gstat.
Some convenience functions for pls regression, including backward
variable selection and validation procedures, image based predictions
and plotting.
General-to-Specific (GETS) modelling of the mean and variance of a regression. NOTE: The package has been succeeded by gets, also available on the CRAN, which is more user-friendly, faster and easier to extend. Users are therefore encouraged to consider gets instead.
Automatically find the best vector autoregression
models and networks for a given time series data set. 'AutovarCore'
evaluates eight kinds of models: models with and without log
transforming the data, lag 1 and lag 2 models, and models with and
without day dummy variables. For each of these 8 model configurations,
'AutovarCore' evaluates all possible combinations for including
outlier dummies (at 2.5x the standard deviation of the residuals)
and retains the best model. Model evaluation includes the Eigenvalue
stability test and a configurable set of residual tests. These eight
models are further reduced to four models because 'AutovarCore'
determines whether adding day dummies improves the model fit.
The package contains R-functions implementing the
Propagation-Separation Approach to adaptive smoothing as
described in J. Polzehl and V. Spokoiny (2006),
Propagation-Separation Approach for Local Likelihood Estimation,
Prob. Theory and Rel. Fields, 135(3):335--362.
and J. Polzehl and V. Spokoiny (2004) Spatially adaptive
regression estimation: Propagation-separation approach,
WIAS-Preprint 998.
The package defines method extract and provides openMP support needed in several packages
A generalization of Fisher's exact test that allows for
structural zeros.
This package fits the Bayesian two-Zone Models.
This package contains b6e6rl algorithm, adaptive
differential evolution for global optimization.
Babar is designed to use nested sampling (a Bayesian analysis technique) to compare possible models for bacterial growth curves, as well as extracting parameters. It allows model evidence and parameter likelihood values to be extracted, and also contains helper functions for comparing distributions as well as direct access to the underlying nested sampling code.
Implements babel routines for identifying unusual ribosome protected fragment counts given mRNA counts
Included are two variants of Bayesian Bootstrap
Predictive Mean Matching to multiply impute missing data. The
first variant is a variable-by-variable imputation combining
sequential regression and Predictive Mean Matching (PMM) that
has been extended for unordered categorical data. The Bayesian
Bootstrap allows for generating approximately proper multiple
imputations. The second variant is also based on PMM, but the
focus is on imputing several variables at the same time. The
suggestion is to use this variant, if the missing-data pattern
resembles a data fusion situation, or any other
missing-by-design pattern, where several variables have
identical missing-data patterns. Both variants can be run as
'single imputation' versions, in case the analysis objective is
of a purely descriptive nature.
US baby names provided by the SSA. This package contains all
names used for at least 5 children of either sex.
R-based graphical tool to concisely visualise and compare biological annotations queried from the DAVID web service. It provides R functions to perform enrichment analysis (via DAVID - http://david.abcc.ncifcrf.gov) on several gene lists at once, and then visualizing all the results in one generated figure that allows R users to compare the annotations found for each list.
The BACCO bundle of packages is replaced by the BACCO
package, which provides a vignette that illustrates the constituent
packages (emulator, approximator, calibrator) in use.
Code for 'backShift', an algorithm to estimate the connectivity
matrix of a directed (possibly cyclic) graph with hidden variables. The
underlying system is required to be linear and we assume that observations
under different shift interventions are available. For more details,
see <http://arxiv.org/abs/1506.02494>.
The backtest package provides facilities for exploring
portfolio-based conjectures about financial instruments
(stocks, bonds, swaps, options, et cetera).
The BACprior package provides an approximate sensitivity analysis of the
Bayesian Adjustment for Confounding (BAC) algorithm (Wang et al., 2012) with regards to the
hyperparameter omega. The package also provides functions to guide the user in their choice
of an appropriate omega value. The method is based on Lefebvre, Atherton and Talbot (2014).
Implements sample size calculations following the approach
described in "Bayesian Average Error Based Approach to
Hypothesis Testing and Sample Size Determination."
This is the companion package of a PhD thesis entitled "Bases Giving Distances. A new paradigm for investigating functional data with applications for spectroscopy" by Timmermans (2012). See references for details and related publications. The core of the BAGIDIS methodology is a functional wavelet based semi-distance that has been introduced by Timmermans and von Sachs (2010, 2015) and Timmermans, Delsol and von Sachs (2013). This semi-distance allows for comparing curves with sharp local patterns that might not be well aligned from one curve to another. It is data-driven and highly adaptive to the curves being studied.  Its main originality is its ability to consider simultaneously horizontal and vertical variations of patterns, which proofs highly useful when used together with clustering algorithms or visualization method. BAGIDIS is an acronym for BAsis GIving DIStances. The extension of BAGIDIS to image data relies on the same principles and has been described in Timmermans and Fryzlewicz (2012), Fryzlewicz and Timmermans (2015).
bagRboostR is a set of ensemble classifiers for multinomial
classification. The bagging function is the implementation of Breiman's
ensemble as described by Opitz & Maclin (1999). The boosting function is
the implementation of Stagewise Additive Modeling using a Multi-class
Exponential loss function (SAMME) created by Zhu et al (2006). Both bagging
and SAMME implementations use randomForest as the weak classifier and
expect a character outcome variable.  Each ensemble classifier returns a
character vector of predictions for the test set.
This package includes methods that can select balanced and spatially balanced probability samples in multi-dimensional spaces with any prescribed inclusion probabilities. It contains fast (C++ via Rcpp) implementations of the included sampling methods. The local pivotal method and spatially correlated Poisson sampling (for spatially balanced sampling) are included. Also the cube method (for balanced sampling) and the local cube method (for doubly balanced sampling) are included.
Books is "Bayesian Methods: A Social and Behavioral
Sciences Approach, Second Edition published by CRC Press, 2007"
Functions for Bayesian mete-analysis of diagnostic test data which are based on a scale mixtures bivariate random-effects model.
Provides functions for analyzing and visualizing complex macroevolutionary dynamics on phylogenetic trees. It is a companion package to the command line program BAMM (Bayesian Analysis of Macroevolutionary Mixtures) and is entirely oriented towards the analysis, interpretation, and visualization of evolutionary rates. Functionality includes visualization of rate shifts on phylogenies, estimating evolutionary rates through time, comparing posterior distributions of evolutionary rates across clades, comparing diversification models using Bayes factors, and more.
A set of functions for doing analysis of A/B split test data and web metrics in general.
Provides a full package of posterior inference, model comparison, and graphical illustration of model fitting. A parallel computing algorithm for the Markov chain Monte Carlo (MCMC) based posterior inference and an Expectation-Maximization (EM) based algorithm for posterior approximation are are developed, both of which greatly reduce the computational time for model inference.
BANOVA covers several Bayesian Analysis of Variance (BANOVA) models used in analysis of experimental designs in which both within- and between- subjects factors are manipulated. They can be applied to data that are common in the behavioral sciences and related fields. The package includes: Hierarchical Bayes ANOVA models with normal response, t response, Binomial(Bernoulli) response, Poisson response, ordered multinomial response and multinomial response variables. All models accommodate unobserved heterogeneity by including a normal distribution of the parameters across individuals. Outputs of the package include tables of sums of squares, effect sizes and p-values, and tables of means, which are easily interpretable for behavioral researchers. BANOVA uses JAGS as the computational platform.
This package includes the function \code{barcode()}, which
produces a histogram-like plot of a distribution that shows
granularity in the data.
An advanced implementation of Bayesian Additive Regression Trees with expanded features for data analysis and visualization.
This package provides tools for handling base64 encoding. It is more flexible than the orphaned base64 package.
Collection of baseline correction algorithms, along with a framework and a GUI for optimising baseline algorithm parameters. Typical use of the package is for removing background effects from spectra originating from various types of spectroscopy and spectrometry, possibly optimizing this with regard to regression or classification results. Correction methods include polynomial fitting, weighted local smoothers and many more.
Conducts Aldrich-McKelvey and Blackbox Scaling to Recover
Latent Dimensions of Judgment
BASIX provides some efficient C/C++ implementations to speed up calculations in R.
This package estimates survival and mortality with covariates from capture-recapture/recovery data in a Bayesian framework when many individuals are of unknown age. It includes tools for data checking, model diagnostics and outputs such as life-tables and plots.
Includes algorithms to assess alpha and beta
diversity in all their dimensions (taxon, phylogenetic and functional
diversity), whether communities are completely sampled or not. It allows
performing a number of analyses based on either species identities or
phylogenetic/functional trees depicting species relationships.
This package provides some utility functions (e.g HTML
report maker).
Functions to allow you to easily pass command-line
arguments into R, and functions to aid in submitting your R
code in parallel on a cluster and joining the results afterward
(e.g. multiple parameter values for simulations running in
parallel, splitting up a permutation test in parallel, etc.).
See `parseCommandArgs(...)' for the main example of how to use
this package.
Extends the BatchJobs package to run statistical experiments on
batch computing clusters. For further details see the project web page.
Provides Map, Reduce and Filter variants to generate jobs on batch
computing systems like PBS/Torque, LSF, SLURM and Sun Grid Engine.
Multicore and SSH systems are also supported. For further details see the
project web page.
batchmeans provides consistent batch means estimation of Monte
Carlo standard errors.
A Bayesian feature allocation model is implemented for inference on tumor heterogeneity using next-generation sequencing data. The model identifies the subclonal copy number and single nucleotide mutations at a selected set of loci and provides inference on genetic tumor variation.
Bayesian multivariate binary (probit) regression
models for analysis of ecological communities.
A set of functions to allow analysis of count data (such
as faecal egg count data) using Bayesian MCMC methods.  Returns
information on the possible values for mean count, coefficient
of variation and zero inflation (true prevalence) present in
the data.  A complete faecal egg count reduction test (FECRT)
model is implemented, which returns inference on the true
efficacy of the drug from the pre- and post-treatment data
provided, using non-parametric bootstrapping as well as using
Bayesian MCMC.  Functions to perform power analyses for faecal
egg counts (including FECRT) are also provided.
Propose a parametric fit for censored linear regression models based on SMSN distributions, from a Bayesian perspective. Also, generates SMSN random variables.
Functions for Bayesian Data Analysis, with datasets from
the book "Bayesian data Analysis (second edition)" by Gelman,
Carlin, Stern and Rubin. Not all datasets yet, hopefully
completed soon.
Bayesian estimation of dynamic conditional correlation GARCH model for multivariate time series volatility (Fioruci, J.A., Ehlers, R.S. and Andrade-Filho, M.G., (2014), DOI:10.1080/02664763.2013.839635).
Provides Graphical user interface for the packages bayesTFR, bayesLife and bayesPop
A suite of functions for computing
various Bayes factors for simple designs, including contingency tables,
one- and two-sample designs, one-way designs, general ANOVA designs, and
linear regression.
This package provides the bayesGARCH function which performs the
Bayesian estimation of the GARCH(1,1) model with Student's t innovations.
Functions for implementing the Braun and Damien (2015) rejection sampling algorithm for Bayesian hierarchical models.  The algorithm generates posterior samples in parallel, and is scalable when the individual units are conditionally independent.
Set of tools to perform the statistical inference based on the Bayesian approach for regression models under the assumption that independent additive errors follow normal, Student-t, slash, contaminated normal, Laplace or symmetric hyperbolic distributions, i.e., additive errors follow a scale mixtures of normal distributions. The regression models considered in this package are: (i) Generalized elliptical semi-parametric models, where both location and dispersion parameters of the response variable distribution include non-parametric additive components described by using B-splines; and (ii) Flexible measurement error models under the presence of homoscedastic and heteroscedastic random errors, which admit explanatory variables with and without measurement additive errors as well as the presence of a non-parametric components approximated by using B-splines.
Bayesian melding approach to combine the GPS observations and Dead-Reckoned path for an accurate animal's track, or equivalently, use the GPS observations to correct the Dead-Reckoned path. It can take the measurement errors in the GPS observations into account and provide uncertainty statement about the corrected path. The main calculation can be done by the BMAnimalTrack function.
Bayesian Latent Class Analysis using several different
methods.
Making probabilistic projections of life expectancy for all countries of the world, using a Bayesian hierarchical model.
The BayesLogit package does posterior simulation for binomial and
multinomial logistic regression using the Polya-Gamma latent variable
technique. This method is fully automatic, exact, and fast.  A routine to
efficiently sample from the Polya-Gamma class of distributions is included.
Covers many important models used
in marketing and micro-econometrics applications.
The package includes:
Bayes Regression (univariate or multivariate dep var),
Bayes Seemingly Unrelated Regression (SUR),
Binary and Ordinal Probit,
Multinomial Logit (MNL) and Multinomial Probit (MNP),
Multivariate Probit,
Negative Binomial (Poisson) Regression,
Multivariate Mixtures of Normals (including clustering),
Dirichlet Process Prior Density Estimation with normal base,
Hierarchical Linear Models with normal prior and covariates,
Hierarchical Linear Models with a mixture of normals prior and covariates,
Hierarchical Multinomial Logits with a mixture of normals prior
and covariates,
Hierarchical Multinomial Logits with a Dirichlet Process prior and covariates,
Hierarchical Negative Binomial Regression Models,
Bayesian analysis of choice-based conjoint data,
Bayesian treatment of linear instrumental variables models,
Analysis of Multivariate Ordinal survey data with scale
usage heterogeneity (as in Rossi et al, JASA (01)),
Bayesian Analysis of Aggregate Random Coefficient Logit Models as in BLP (see
Jiang, Manchanda, Rossi 2009)
For further reference, consult our book, Bayesian Statistics and
Marketing by Rossi, Allenby and McCulloch (Wiley 2005) and Bayesian Non- and Semi-Parametric
Methods and Applications (Princeton U Press 2014).
This package provides various Markov Chain Monte Carlo
(MCMC) sampler for model-based clustering of discrete-valued
time series obtained by observing a categorical variable with
several states (in a Bayesian approach).  In order to analyze
group membership, we provide also an extension to the
approaches by formulating a probabilistic model for the latent
group indicators within the Bayesian classification rule using
a multinomial logit model.
Default Bayesian hypothesis tests for correlation, partial correlation, and mediation
The fitting of finite mixture models of univariate
Gaussian distributions using JAGS within a Bayesian
framework is provided.
Bayesian Mixture Survival Models using Additive Mixture-of-Weibull Hazards, with Lasso Shrinkage and Stratification
A Bayesian testing procedure for noninferiority trials
with binary endpoints. The prior is constructed based on
Bernstein polynomials with options for both informative and
non-informative prior. The critical value of the test statistic
(Bayes factor) is determined by minimizing total weighted error
(TWE) criteria
Generating population projections for all countries of the world using several probabilistic components, such as total fertility rate (TFR) and life expectancy.
This program implements a hierarchical Bayesian analysis
of count data, such as preference experiments. It provides
population-level and individual-level preference parameter
estimates obtained via MCMC. It also allows for model
comparison using Deviance Information Criterion.
Bayesian quantile regression using the asymmetric Laplace distribution, both continuous as well as binary dependent variables are supported. The package consists of implementations of the methods of Yu & Moyeed (2001), Benoit & Van den Poel (2012) and Al-Hamzawi, Yu & Benoit (2012). To speed up the calculations, the Markov Chain Monte Carlo core of all algorithms is programmed in Fortran and called from R.
bayess contains a collection of functions that allows the
reenactment of the R programs used in the book "Bayesian
Essentials with R" (revision of "Bayesian Core") without
further programming. R code being available as well, they can
be modified by the user to conduct one's own simulations.
This package provides a variety of functions to deal with several specific small area area-
level models in Bayesian context. Models provided range from the basic Fay-Herriot model to
its improvement such as You-Chapman models, unmatched models, spatial models and so on.
Different types of priors for specific parameters could be chosen to obtain MCMC posterior
draws. The main sampling function is written in C with GSL lab so as to facilitate the
computation. Model internal checking and model comparison criteria are also involved.
The BayesSingleSub package is a suite of functions for computing various Bayes factors for interrupted time-series, based on the models described in de Vries and Morey (2013).
Methods for generating Markov Chain Monte Carlo (MCMC) posterior samples of Bayesian linear regression model parameters that require only summary statistics of data as input. Summary statistics are useful for systems with very limited amounts of physical memory. The package provides two functions:  one function that computes summary statistics of data and one function that carries out the MCMC posterior sampling for Bayesian linear regression models where summary statistics are used as input. The function read.regress.data.ff utilizes the R package 'ff' to handle data sets that are too large to fit into a user's physical memory, by reading in data in chunks.
Contains Bayesian implementations of Mixed-Effects Accelerated Failure Time (MEAFT) models
for censored data. Those can be not only right-censored but also interval-censored,
doubly-interval-censored or misclassified interval-censored.
Making probabilistic projections of total fertility rate for all countries of the world, using a Bayesian hierarchical model.
This package fits a linear mixed model for ordinal
categorical responses using Bayesian inference via Monte Carlo
Markov Chains. Default is Nandran & Chen algorithm using
Gaussian link function and saving just the summaries of the
chains.  Among the options, package allow for two other options
of algorithms, for using Student's "t" link function and for
saving the full chains.
Implementation of BART:Bayesian Additive Regression Trees,
Chipman, George, McCulloch (2010)
BayesValidate implements the software validation method
described in the paper "Validation of Software for Bayesian
Models using Posterior Quantiles" (Cook, Gelman, and Rubin,
2005).  It inputs a function to perform Bayesian inference as
well as functions to generate data from the Bayesian model
being fit, and repeatedly generates and analyzes data to check
that the Bayesian inference program works properly.
Conceived to calculate Bayes factors in linear models and then to provide a formal Bayesian answer to testing and variable selection problems. From a theoretical side, the emphasis in the package is placed on the prior distributions and BayesVarSel allows using a wide range of them: Jeffreys-Zellner-Siow (Jeffreys, 1961; Zellner and Siow, 1980,1984) Zellner (1986); Fernandez et al. (2001), Liang et al. (2008) and Bayarri et al. (2012). The interaction with the package is through a friendly interface that syntactically mimics the well-known lm command of R. The resulting objects can be easily explored providing the user very valuable information (like marginal, joint and conditional inclusion probabilities of potential variables; the highest posterior probability model, HPM; the median probability model, MPM) about the structure of the true -data generating- model. Additionally, BayesVarSel incorporates abilities to handle problems with a large number of potential explanatory variables through parallel and heuristic versions (Garcia-Donato and Martinez-Beneito 2013) of the main commands.
This package provides functionality for exploring and visualising estimation results
obtained with the software package BayesX for structured additive regression. It also provides
functions that allow to read, write and manipulate map objects that are required in spatial analyses
performed with BayesX, a free software for estimating structured additive regression models
(http://www.bayesx.org).
BayesX performs Bayesian inference in structured additive regression (STAR) models.
The R package BayesXsrc provides the BayesX command line tool for easy installation.
A convenient R interface is provided in package R2BayesX.
The package BayHap performs simultaneous estimation of
uncertain haplotype frequencies and association with haplotypes
based on generalized linear models for quantitative, binary and
survival traits. Bayesian statistics and Markov Chain Monte
Carlo techniques are the theoretical framework for the methods
of estimation included in this package. Prior values for model
parameters can be included by the user. Convergence diagnostics
and statistical and graphical analysis of the sampling output
can be also carried out.
A suite of R functions for Bayesian estimation of smooth
hazard rates via Compound Poisson Process (CPP) and Bayesian
Penalized Spline (BPS) priors.
Functions and data used for Baylor University Educational
Psychology Quantitative Courses
Tools for fitting and simulating multi-optima Ornstein-Uhlenbeck
models to phylogenetic comparative data using Bayesian reversible-jump
methods.
This R package is the software implementation of the
algorithm BaySIC, a Bayesian approach toward analysis of
significantly mutated genes in cancer data.
The manuscript introduces the BAYSTAR package, which
provides the functionality for Bayesian estimation in
autoregressive threshold models.
Barzilai-Borwein spectral methods for solving nonlinear
system of equations, and for optimizing nonlinear objective
functions subject to simple constraints. A tutorial style
introduction to this package is available in a vignette on the
CRAN download page or, when the package is loaded in an R
session, with vignette("BB").
Estimating optimal bandwidths for the regression mean function approximated by the functional Nadaraya-Watson estimator and the error density approximated by a kernel density of residuals simultaneously in a scalar-on-function regression. As a by-product of Markov chain Monte Carlo, the optimal choice of semi-metric is selected based on largest marginal likelihood.
Bayesian bandwidth estimation for Nadaraya-Watson type
multivariate kernel regression with Gaussian error density
We implemented a Bayesian-statistics approach for
subtraction of incoherent scattering from neutron total-scattering data.
In this approach, the estimated background signal associated with
incoherent scattering maximizes the posterior probability, which combines
the likelihood of this signal in reciprocal and real spaces with the prior
that favors smooth lines.
Miscellaneous helper functions for and from B. Bischl and
some other guys at TU Dortmund, mainly for package development.
Methods and functions for fitting maximum likelihood models in R.
This package modifies and extends the mle classes in the stats4 package.
The model provides an empirical estimate of a movement
path using discrete location data obtained at relatively short
time intervals.
This package provides an R implementation of
Biogeography-Based Optimization (BBO), originally invented by
Prof. Dan Simon, Cleveland State University, Ohio. This method
is an application of the concept of biogeography, a study of
the geographical distribution of biological organisms, to
optimization problems. More information about this method can
be found here: http://academic.csuohio.edu/simond/bbo/.
Model fitting of flexible behavioural recapture models based on conditional probability reparameterization and meaningful partial capture history quantification also referred to as meaningful behavioural covariate
This package implements the BC3NET algorithm for gene
regulatory network inference (de Matos Simoes and Frank
Emmert-Streib, Bagging Statistical Network Inference from
Large-Scale Gene Expression Data, PLoS ONE 7(3): e33624)
Underlying support functions for RcmdrPlugin.BCA and a
companion to the book Customer and Business Analytics: Applied
Data Mining for Business Decision Making Using R by Daniel S.
Putler and Robert E. Krider
This package is used to predict the discrete class labels
based on a selected subset of high-dimensional features, such
as expression levels of genes. The data are modeled with a
hierarchical Bayesian models using heavy-tailed t distributions
as priors. When a large number of features are available, one
may like to select only a subset of features to use, typically
those features strongly correlated with the response in
training cases. Such a feature selection procedure is however
invalid since the relationship between the response and the
features has be exaggerated by feature selection. This package
provides a way to avoid this bias and yield better-calibrated
predictions for future cases when one uses F-statistic to
select features.
Tools for Dating Business Cycles using Harding-Pagan (Quarterly Bry-Boschan) method and various plotting features.
Diagnostic tools based on two-way
anova and median-polish residual plots for Bicluster output
obtained from packages; "biclust" by Kaiser et al.(2008),"isa2"
by Csardi et al. (2010) and "fabia" by Hochreiter et al.
(2010). Moreover, It provides visualization tools for bicluster
output and corresponding non-bicluster rows- or columns
outcomes.  It has also extended the idea of Kaiser et al.(2008)
which is, extracting bicluster output in a text format, by
adding two bicluster methods from the fabia and isa2 R
packages.
Function to estimates taxonomic compositions from biomarker data, using a Bayesian approach.
Produces an economic evaluation of a Bayesian model in the form of MCMC simulations. Given suitable variables of cost and effectiveness / utility for two or more interventions, This package computes the most cost-effective alternative and produces graphical summaries and probabilistic sensitivity analysis.
Implementation of the Bayesian Causal Effect Estimation algorithm,
a data-driven method for the estimation of the causal effect of a continuous
exposure on a continuous outcome. For more details, see Talbot et al. (2015).
Implements a full Bayesian cost-effectiveness analysis in the case where the cost variable is characterised by structural zeros. The package implements the Gamma, log-Normal and Normal models for the cost variable and the Gamma, Beta, Bernoulli and Normal models for the measure of clinical effectiveness.
This package enables quick calibration of radiocarbon dates under various calibration curves (including user generated ones); Age-depth modelling as per the algorithm of Haslett and Parnell (2008); Relative sea level rate estimation incorporating time uncertainty in polynomial regression models; and non-parametric phase modelling via Gaussian mixtures as a means to determine the activity of a site (and as an alternative to the Oxcal function SUM).
This package takes pollen/time data from lake cores and produces a Bayesian posterior distribution of palaeoclimate from that location after fitting a non-linear non-Gaussian state-space model.
The package builds a dendrogram with log posterior as a
natural distance defined by the model. It is also capable to
computing Bayesian discrimination probabilities equivalent to
the implemented Bayesian clustering. Spike-and-Slab models are
adopted in a way to be able to produce an importance measure
for clustering and discriminant variables. The method works
properly for data with small sample size and high dimensions.
The model parameter estimation maybe difficult, depending on
data structure and the chosen distribution family.
Provides an implementation of the Barry and Hartigan (1993) product partition model for the normal errors change point problem using Markov Chain Monte Carlo.  It also extends the methodology to regression models on a connected graph (Wang and Emerson, 2015); this allows estimation of change point models with multivariate responses. Parallel MCMC, previously available in bcp v.3.0.0, is currently not implemented.
The Behavioral Change Point Analysis (BCPA) is a method of
identifying hidden shifts in the underlying parameters of a time series,
developed specifically to be applied to animal movement data which is
irregularly sampled.  The method is based on: E.
Gurarie, R. Andrews and K. Laidre A novel method for identifying
behavioural changes in animal movement data (2009) Ecology Letters 12:5
395-408.
A Bayesian approach to detect mean shifts in AR(1) time series while accommodating metadata (if available). In addition, a linear trend component is allowed.
Functions provide risk projections of invasive breast cancer based on Gail model according to National Cancer Institute's Breast Cancer Risk Assessment Tool algorithm for specified race/ethnic groups and age intervals.
This package implements a wide variety of one and two-parameter Bayesian CRM designs. The program can run interactively, allowing the user to enter outcomes after each cohort has been recruited, or via simulation to assess operating characteristics.
An R interface to the OpenBSD 'blowfish' password hashing algorithm,
as described in "A Future-Adaptable Password Scheme" by Niels Provos. The
implementation is derived from the 'py-bcrypt' module for Python which is a
wrapper for the OpenBSD implementation.
Methods for choosing the rank of an SVD approximation via cross
validation.  The package provides both Gabriel-style "block"
holdouts and Wold-style "speckled" holdouts.  It also includes an
implementation of the SVDImpute algorithm.  For more information about
Bi-cross-validation, see Owen & Perry's 2009 AoAS article
(at http://arxiv.org/abs/0908.2062) and Perry's 2009 PhD thesis
(at http://arxiv.org/abs/0909.3052).
Functions for density estimation based on grouped (or pre-binned)
data.
A collection of S4 classes which implements different methods to estimate and deal with densities in bounded domains. That is, densities defined within the interval [lower.limit, upper.limit], where lower.limit and upper.limit are values that can be set by the user.
A general framework to perform Bayesian structure learning in undirected graphical models. The main target is high-dimensional data analysis wherein either continuous or discrete variables.
Computation of asymptotic confidence intervals for negative and positive predictive values in binary diagnostic tests in case-control studies. Experimental design for hypothesis tests on predictive values.
Provides a continuous date scale, omitting weekends and holidays.
This is a special case of sparse matrices, used by coxme
Biodiversity data visualizations using R would be helpful to
understand completeness of biodiversity inventory, extent of geographical,
taxonomic and temporal coverage, gaps and biases in data.
The package bdynsys for panel/longitudinal data combines methods to model
changes in up to four indicators over times as a function of the indicators
themselves and up to three predictors using ordinary differential equations
(ODEs) with polynomial terms that allow to model complex and nonlinear
effects. A Bayesian model selection approach is implemented. The package
provides also visualisation tools to plot phase portraits of the dynamic
system, showing the complex co-evolution of two indicators over time with the
possibility to highlight trajectories for specified entities (e.g. countries,
individuals). Furthermore the visualisation tools allow for making
predictions of the trajectories of specified entities with respect to the
indicators.
This package contains functions to fit the filtering model
of Forcheh et al., (2012) which is used to derive the
intra-cluster correlation (ICC). Model fitting is done using
the modified version of the ``MLM.beadarray" function of Kim
and Lin (2011).
Imports bead-summary data from Illumina scanner.
Pre-processes using a suite of optional normalizations and
transformations. Clusters and automatically calls genotypes,
critically able to handle markers in duplicated regions of the
genome (multisite variants; MSVs). Interactive clustering if
needed. MSVs with variation in both paralogs may be resolved
and mapped to their respective chromosomes. Quality control
including pedigree checking and visual assessment of clusters.
Too large data-sets are handled by working on smaller subsets
of the data in sequence.
Plots univariate comparison graphs, an alternative to
boxplot/stripchart/violin plot.
Computing age specific nest survival rates based on a Bayesian hierarchical model. This package can handle unknown nest age, irregular visiting schedule and nest-specific covariates.
provides functions that allow users to quantify the relative
contributions of geographic and ecological distances to empirical patterns of genetic
differentiation on a landscape.  Specifically, we use a custom Markov chain
Monte Carlo (MCMC) algorithm, which is used to estimate the parameters of the
inference model, as well as functions for performing MCMC diagnosis and assessing
model adequacy.
The sole function of this package is beep(), with the purpose to
make it easy to play notification sounds on whatever platform you are on.
It is intended to be useful, for example, if you are running a long analysis
in the background and want to know when it is ready.
The bee swarm plot is a one-dimensional scatter plot like "stripchart", but with closely-packed, non-overlapping points.
Full implementation of the 28 distributions introduced as
benchmarks for nonparametric density estimation by Berlinet and
Devroye (1994). Includes densities, cdfs, quantile functions
and generators for samples as well as additional information on
features of the densities. Also contains the 4 histogram
densities used in Rozenholc/Mildenberger/Gather (2010).
The benchmark package provides a toolbox for setup, execution
and analysis of benchmark experiments. Main focus is the analysis of
data accumulating during the execution -- one primary objective is the
statistical correct computation of the candidate algorithms' order.
Methods for frontier
analysis, Data Envelopment Analysis (DEA), under different
technology assumptions (fdh, vrs, drs, crs, irs, add/frh, and fdh+),
and using different efficiency measures (input based, output based,
hyperbolic graph, additive, super, and directional efficiency). Peers
and slacks are available, partial price information can be included,
and optimal cost, revenue and profit can be calculated. Evaluation of
mergers is also supported.  Methods for graphing the technology sets
are also included. There is also support comparative methods based
on Stochastic Frontier Analyses (SFA). In general, the methods can be
used to solve not only standard models, but also many other model
variants. It complements the book, Bogetoft and Otto,
Benchmarking with DEA, SFA, and R, Springer-Verlag, 2011, but can of
course also be used as a stand-alone package.
The Benford Analysis package provides tools that make it easier to
validate data using Benford's Law.
This package contains seven specialized statistical tests and support functions
for determining if numerical data could conform to Benford's law.
Included are two main interfaces for fitting and diagnosing
bent-cable regressions for autoregressive time-series data or
independent data (time series or otherwise): 'bentcable.ar()' and
'bentcable.dev.plot()'. Some components in the package can also be
used as stand-alone functions. The bent cable
(linear-quadratic-linear) generalizes the broken stick
(linear-linear), which is also handled by this package. Version 0.2
corrects a glitch in the computation of confidence intervals for the
CTP. References that were updated from Versions 0.2.1 and 0.2.2 appear
in Version 0.2.3 and up. Version 0.3.0 improves robustness of the
error-message producing mechanism. It is the author's intention to
distribute any future updates via GitHub.
Tool for analysing benthos data. It estimates several quality
indices like the total abundance of species, species richness,
Margalef's d, AZTI Marine Biotic Index (AMBI), and the BEQI-2 index.
Furthermore, additional (optional) features are provided that enhance data
preprocessing: (1) genus to species conversion, i.e.,taxa counts at the
taxonomic genus level can optionally be converted to the species level and
(2) pooling: small samples are combined to bigger samples with a
standardized size to (a) meet the data requirements of the AMBI,
(b) generate comparable species richness values and
(c) give a higher benthos signal to noise ratio.
The functions in this package remove batch effects from
microarrary normalized data. The expression levels of the genes
are represented in a matrix where rows correspond to
independent samples and columns to genes (variables). The
batches are represented by categorical variables (objects of
class factor). When further covariates of interest are
available they can be used to remove efficiently the batch
effects and adjust the data.
Set of tools to analyse Bayesian exponential random graph models
This package provides easy access to http://daten.berlin.de
It allows you to search through the data catalogue and to download
the data directly from within R.
Draw horizontal histograms, color scatterpoints by 3rd dimension, enhance date- and log-axis plots, zoom in X11 graphics, use the unit hydrograph in a linear storage cascade, convert lists to data.frames, fit multiple functions by regression (power, reciprocal, exponential, logarithmic, polynomial, rational).
Bessel Function Computations for complex and real numbers;
notably interfacing TOMS 644; approximations for large arguments,
experiments, etc.
An alternative to t-tests, producing posterior estimates
for group means and standard deviations and their differences and
effect sizes.
Best subset glm using AIC, BIC, EBIC, BICq or Cross-Validation. For the normal case, the 'leaps' is used. Otherwise, a slower exhaustive search. The 'xtable' package is needed for vignette 'SimExperimentBICq.Rnw' accompanying this package.
To detecting rare variants for quantitative traits using
nuclear families, the linear combination methods are proposed
using the estimated regression coefficients from the multiple
regression and regularized regression as the weights.
Measures of beta-diversity in networks, and easy visualization of why two networks are different.
betapart allows computing pair-wise dissimilarities (distance matrices) and multiple-site dissimilarities, separating the turnover and nestedness-resultant components of taxonomic (incidence and abundance based), functional and phylogenetic beta diversity.
Permutational method to incorporate taxonomic uncertainty
and some functions to assess its effects on parameters of some
widely used multivariate methods in ecology
Beta regression for modeling beta-distributed dependent variables, e.g., rates and proportions.
In addition to maximum likelihood regression (for both mean and precision of a beta-distributed
response), bias-corrected and bias-reduced estimation as well as finite mixture models and
recursive partitioning for beta regressions are provided.
Computes standardized beta coefficients and corresponding
standard errors for the following models:
linear regression models with numerical covariates only,
linear regression models with numerical and factorial covariates,
weighted linear regression models,
all these linear regression models with interaction terms, and
robust linear regression models with numerical covariates only.
Simulation, estimation and forecasting of first-order Beta-Skew-t-EGARCH models with leverage (one-component, two-component, skewed versions).
The sample size according to the Bethel's procedure.
The bezier package is a toolkit for working with Bezier curves and splines. The package provides functions for point generation, arc length estimation, degree elevation and curve fitting.
This package provides model fitting for
several Bayesian factor models including Gaussian,
ordinal probit, mixed and semiparametric Gaussian
copula factor models under a range of priors.
BFAST integrates the decomposition of time series into trend,
seasonal, and remainder components with methods for detecting
and characterizing abrupt changes within the trend and seasonal
components. BFAST can be used to analyze different types of
satellite image time series and can be applied to other disciplines
dealing with seasonal or non-seasonal time series, such as hydrology,
climatology, and econometrics. The algorithm can be extended to
label detected changes with information on the parameters of the
fitted piecewise linear models. BFAST monitoring functionality is added
based on a paper that has been submitted to Remote Sensing of Environment.
BFAST monitor provides functionality to detect disturbance in near real-time based on BFAST-type models.
BFAST approach is flexible approach that handles missing data without interpolation.
Furthermore now different models can be used to fit the time series data and detect structural changes (breaks).
The package implements the Bayesian paradigm for fractional
polynomial models under the assumption of normally distributed error terms.
Routine for fitting regression models for binary rare events with linear and nonlinear covariate effects when using the quantile function of the Generalized Extreme Value random variable.
Implementation of Bayesian estimation in generalized linear models following Gamerman (1997).
Two partially supervised mixture modeling methods:
soft-label and belief-based modeling are implemented.
For completeness, we equipped the package also with the
functionality of unsupervised, semi- and fully supervised
mixture modeling.  The package can be applied also to selection
of the best-fitting from a set of models with different
component numbers or constraints on their structures.
For detailed introduction see:
Przemyslaw Biecek, Ewa Szczurek, Martin Vingron, Jerzy
Tiuryn (2012), The R Package bgmm: Mixture Modeling with
Uncertain Knowledge, Journal of Statistical Software.
Computes the hazard rate estimate as described by Nieto-Barajas and Walker (2002) and Nieto-Barajas (2003).
Implement an efficient block Gibbs sampler with incomplete
data from a multinomial distribution taking values from the k
categories 1,2,...,k, where data are assumed to miss at random
and each missing datum belongs to one and only one of m
distinct non-empty proper subsets A1, A2,..., Am of 1,2,...,k
and the k categories are labelled such that only consecutive
A's may overlap.
Boost provides free peer-reviewed portable C++ source
libraries.  A large part of Boost is provided as C++ template code
which is resolved entirely at compile-time without linking.  This
package aims to provide the most useful subset of Boost libraries
for template use among CRAN package. By placing these libraries in
this package, we offer a more efficient distribution system for CRAN
as replication of this code in the sources of other packages is
avoided.
Functions for MLE, MCMC, CIs (originally in Fortran)
Functions and data sets reproducing some examples in
Box, Hunter and Hunter II.  Useful for statistical design
of experiments, especially factorial experiments.
Bias correction of second order of the maximum likelihood
estimators of the parameters of the beta regression model.
Statistical models of biased sampling in the form of
univariate and multivariate noncentral hypergeometric distributions,
including Wallenius' noncentral hypergeometric distribution and
Fisher's noncentral hypergeometric distribution
(also called extended hypergeometric distribution).
See vignette("UrnTheory") for explanation of these distributions.
The main function biclust provides several algorithms to
find biclusters in two-dimensional data: Cheng and Church,
Spectral, Plaid Model, Xmotifs and Bimax. In addition, the
package provides methods for data preprocessing (normalization
and discretisation), visualisation, and validation of bicluster
solutions.
An S3 class with a method for calculates the bidimensional regression between two 2D configurations following the approach by Tobler (1965).
This package makes global and multiple inferences for
given bi- and trifactorial clinical trial designs using
bootstrap methods and a classical approach.
Contains tools for survey statistics (especially in educational
assessment) for datasets with replication designs (jackknife,
bootstrap, replicate weights). Descriptive statistics, linear
and logistic regression, path models for manifest variables
with measurement error correction and two-level hierarchical
regressions for weighted samples are included. Statistical
inference can be conducted for multiply imputed datasets and
nested multiply imputed datasets.
This package is developed by BIFIE (Federal Institute for
Educational Research, Innovation and Development of the Austrian
School System; Salzburg, Austria).
This package provides arithmetic functions for R matrix and big.matrix objects.
This package extends the bigmemory package with various
analytics.  Functions bigkmeans and binit may also be used with
native R objects.  For tapply-like functions, the bigtabulate
package may also be helpful.  For linear algebra support, see
bigalgebra.  For mutex (locking) support for advanced
shared-memory usage, see synchronicity.
The big data package is a collection of scalable methods
for large-scale data analysis.
Data sets and functions for chi-squared Hardy-Weinberg and case-control association tests of highly polymorphic genetic data [e.g., human leukocyte antigen (HLA) data]. Performs association tests at multiple levels of polymorphism (haplotype, locus and HLA amino-acids). Combines rare variants to a common class to account for sparse cells in tables as described by Hollenbach JA, Mack SJ, Thomson G, Gourraud PA. 'Analytical methods for disease association studies with immunogenetic data.' Methods Mol Biol. 2012;882:245-66.
Distributes Gaussian process calculations across nodes
in a distributed memory setting, using Rmpi. The bigGP class
provides high-level methods for maximum likelihood with normal data,
prediction, calculation of uncertainty (i.e., posterior covariance
calculations), and simulation of realizations. In addition, bigGP
provides an API for basic matrix calculations with distributed
covariance matrices, including Cholesky decomposition, back/forwardsolve,
crossproduct, and matrix multiplication.
Least-angle regression, lasso and stepwise regression for
numeric datasets in which the number of observations is greater
than the number of predictors.  The functions can be used with
the ff library to accomodate datasets that are too large to be
held in memory.
Regression for data too large to fit in memory
Create, store, access, and manipulate massive matrices.
Matrices are allocated to shared memory and may use memory-mapped
files.  Packages biganalytics, bigtabulate, synchronicity, and
bigalgebra provide advanced functionality.
This package provides a shared resource interface for the bigmemory and synchronicity packages.
The 'bigml' package contains bindings for the BigML API.
The package includes methods that provide straightforward access
to basic API functionality, as well as methods that accommodate
idiomatic R data types and concepts.
This package adds wrappers to add functionality for big.matrix objects
(see the bigmemory project). This allows fast scalable principle components analysis (PCA),
or singular value decomposition (SVD). There are also functions for transposing, using multicore
'apply' functionality, data importing and for compact display of big.matrix objects. Most functions
also work for standard matrices if RAM is sufficient.
This is an implementation of Leo Breiman's and Adele Cutler's
Random Forest algorithms for classification and regression, with optimizations
for performance and for handling of data sets that are too large to be
processed in memory. Forests can be built in parallel at two levels. First,
trees can be grown in parallel on a single machine using foreach. Second,
multiple forests can be built in parallel on multiple machines, then merged
into one. For large data sets, disk-based big.matrix's may be used for storing
data and intermediate computations, to prevent excessive virtual memory
swapping by the operating system. Currently, only classification forests with
a subset of the functionality in Breiman and Cutler's original code are
implemented. More functionality and regression trees may be added in the
future.
Easily talk to Google's BigQuery database from R.
The package fits large-scale (generalized) ridge regression for various distributions of response. The shrinkage parameters (lambdas) can be pre-specified or estimated using an internal update routine (fitting a heteroscedastic effects model, or HEM). It gives possibility to shrink any subset of parameters in the model. It has special computational advantage for the cases when the number of shrinkage parameters exceeds the number of observations. For example, the package is very useful for fitting large-scale omics data, such as high-throughput genotype data (genomics), gene expression data (transcriptomics), metabolomics data, etc.
Fits smoothing spline regression models using scalable algorithms designed for large samples. Five marginal spline types are supported: cubic, different cubic, cubic periodic, cubic thin-plate, and nominal. Parametric predictors are also supported. Response can be Gaussian or non-Gaussian: Binomial, Poisson, Gamma, Inverse Gaussian, or Negative Binomial.
This package extends the bigmemory package with table- and split-like support for big.matrix objects.  The functions may also be used with regular R matrices for improving speed and memory-efficiency.
This package is trying to implement Top Scoring Pair based
methods for classification including LDCA, TSP-tree, TSP-random
forest and TSP gradient boosting algorithm.
Performs logistic regression for binary longitudinal
data, allowing for serial dependence among observations from a given
individual and a random intercept term. Estimation is via maximization
of the exact likelihood of a suitably defined model. Missing values and
unbalanced data are allowed, with some restrictions.
A power calculator for Genome-wide association studies
(GWAs) with combined gold (error-free) and silver (erroneous)
phenotyping per McDavid A, Crane PK, Newton KM, Crosslin DR, et
al. (2011)
Provides methods for the binarization of one-dimensional data and some visualization functions.
Modeling under- and over-dispersed binary data using extended Poisson process models (EPPM).
The "binda" package implements functions for multi-class
discriminant analysis using binary predictors, for corresponding
variable selection, and for dichotomizing continuous data.
Generation of correlated artificial binary data.
Methods for model selection, model averaging, and calculating metrics, such as the Gini, Theil, Mean Log Deviation, etc, on binned income data where the topmost bin is right-censored.  We provide both a non-parametric method, termed the bounded midpoint estimator (BME), which assigns cases to their bin midpoints; except for the censored bins, where cases are assigned to an income estimated by fitting a Pareto distribution. Because the usual Pareto estimate can be inaccurate or undefined, especially in small samples, we implement a bounded Pareto estimate that yields much better results.  We also provide a parametric approach, which fits distributions from the generalized beta (GB) family. Because some GB distributions can have poor fit or undefined estimates, we fit 10 GB-family distributions and use multimodel inference to obtain definite estimates from the best-fitting distributions. We also provide binned income data from all United States of America school districts, counties, and states.
This package provides tools to analyze binary graph objects.
This package provides methods for estimation and
hypothesis testing of proportions in group testing designs. It
involves methods for estimating a proportion in a single
population (assuming sensitivity and specificity 1 in designs
with equal group sizes), as well as hypothesis tests and
functions for experimental design for this situation. For
estimating one proportion or the difference of proportions, a
number of confidence interval methods are included, which can
deal with various different pool sizes. Further, regression
methods are implemented for simple pooling and matrix pooling
designs.
Binomial Haar-Fisz transforms for Gaussianization
Asymptotic simultaneous confidence intervals for comparison of many treatments with one control,
for the difference of binomial proportions, allows for Dunnett-like-adjustment, Bonferroni or unadjusted intervals.
Simulation of power of the above interval methods, approximate calculation of any-pair-power, and sample size
iteration based on approximate any-pair power.
Exact conditional maximum test for many-to-one comparisons to a control.
Generation of multiple binary and continuous non-normal variables simultaneously
given the marginal characteristics and association structure based on the methodology
proposed by Demirtas et al. (2012).
Generating multiple binary and normal variables
simultaneously given marginal characteristics and association
structure based on the methodology proposed by Demirtas and
Doganay (2012).
Constructs confidence intervals on the probability of
success in a binomial experiment via several parameterizations
Binomial random numbers are generated via the perfect
sampling algorithm. At each iteration dual markov chains are
generated and coalescence is checked. In case coalescence
occurs, the resulting number is outputted. In case not, then
the algorithm is restarted from T(t)=2*T(t) until coalescence
occurs.
The R package contains different MCMC schemes to estimate the regression coefficients of a binomial (or binary) logit model within a Bayesian framework: a data-augmented independence MH-sampler, an auxiliary mixture sampler and a hybrid auxiliary mixture (HAM) sampler. All sampling procedures are based on algorithms using data augmentation, where the regression coefficients are estimated by rewriting the logit model as a latent variable model called difference random utility model (dRUM).
A suite of functions to compute confidence intervals and necessary
sample sizes for the parameter p of the Bernoulli B(p)
distribution under simple random sampling or under pooled
sampling. Such computations are e.g. of interest when investigating
the incidence or prevalence in populations.
The package contains functions to compute coverage probabilities and
coverage coefficients of the provided confidence intervals
procedures. Sample size calculations are based on expected length.
This package provides a range of diagnostic methods for
binomial regression models.
Generation of samples from a mix of binary, ordinal and continuous random variables with a pre-specified correlation matrix and marginal distributions.
Implementation of algorithms for cutting numerical values
exhibiting a potentially highly skewed distribution into evenly distributed
groups (bins). This functionality can be applied for binning discrete
values, such as counts, as well as for discretization of continuous values,
for example, during generation of features used in machine learning
algorithms.
For a series of binary responses, create stopping boundary with exact results after stopping, allowing updating for missing assessments.
Utilities to process, organize and explore protein structure, sequence and dynamics data.  Features include the ability to read and write structure, sequence and dynamic trajectory data, perform sequence and structure database searches, data summaries, atom selection, alignment, superposition, rigid core identification, clustering, torsion analysis, distance matrix analysis, structure and sequence conservation analysis, normal mode analysis, principal component analysis of heterogeneous structure data, and correlation network analysis from normal mode and molecular dynamics data.  In addition, various utility functions are provided to enable the statistical and graphical power of the R environment to work with biological sequence and structural data.  Please refer to the URLs below for more information.
The Biodem package provides a number of functions for Biodemographic analysis.
Graphical User Interface (via the R-Commander) and utility functions (often based on the vegan package) for statistical analysis of biodiversity and ecological communities, including species accumulation curves, diversity indices, Renyi profiles, GLMs for analysis of species abundance and presence-absence, distance matrices, Mantel tests, and cluster, constrained and unconstrained ordination analysis. A book on biodiversity and community ecology analysis is available for free download from the website. In 2012, methods for (ensemble) suitability modelling and mapping were expanded in the package.
Functions for working with biogas data. Both low- and high-level functions are included for carrying out common tasks for analysis of biogas and related data. Molar mass and calculated oxygen demand (COD') can be determined from a chemical formula. Measured gas volume can be corrected for water vapor and to (possibly user-defined) standard temperature and pressure. Gas composition, cumulative production, or other variables can be interpolated to a specified time. Cumulative biogas and methane production (and rates) can be calculated from individual biogas volume (or reactor mass) and biogas composition measurements for any number of reactors. With cumulative methane production data and data on reactor contents, biochemical methane potential (BMP) can be calculated and summarized, including subtraction of the inoculum contribution and normalization by substrate mass. Cumulative production and production rates can be summarized in several different ways (e.g., omitting normalization) using the same function. Lastly, biogas and methane production can be predicted from substrate composition and additional, optional data.
Tools for extraction and analysis of various
n-grams (k-mers) derived from biological sequences (proteins
or nucleic acids). Uses QuiPT (quick permutation test) for fast
feature-filtering to deal with the dimensionality  of the n-gram data.
Biograph is designed to facilitate the descriptive and statistical analysis of life histories.  It follows a multistate perspective on the life course and conceptualizes the life course as a sequence of states and transitions between states (events). Transitions are governed by transition rates that depend on event counts and exposure times. Transition rates also depend on covariates. Biograph produces useful graphics and computes life-course indicators for individuals and groups. The package structures the data for multistate statistical and demographic modeling of life histories. The package accepts data in a Biograph format. The Doc subdirectory of the package contains a description of how to prepare Biograph objects. It includes several illustrations and R code.
Imports benthic count data, reformats this data, and
computes environmental inferences from this data.
This is an R package for interfacing with the
BIOM format. This package includes basic tools for
reading biom-format files, accessing and subsetting
data tables from a biom object (which is more complex
than a single table), as well as limited support for
writing a biom-object back to a biom-format file. The
design of this API is intended to match the python API
and other tools included with the biom-format project,
but with a decidedly "R flavor" that should be familiar
to R users. This includes S4 classes and methods, as
well as extensions of common core functions/methods.
The package provides biomarker selection for several classification methods: the lasso/elastic net, PCLDA, PLSDA, and several t-tests. Two approaches are provided, one based on the stability of model coefficients under perturbation, and the other on higher criticism.
Performing biological data retrieval and functional annotation with R.
Functions for species distribution modeling, calibration and evaluation, ensemble of models.
Provides utilities to facilitate import, export and computation with the
BIOM (Biological Observation Matrix) format (http://biom-format.org).
Data Package that includes several examples of chemical and biological data networks, i.e. data graph structured.
Utilities and functions to investigate the relation
between biomolecular structures, their interactions, and the
evolutionary information revealed in sequence alignments of
these molecules.
bioPN is a package suited to perform simulation of deterministic and stochastic systems of biochemical reaction
networks.
Models are defined using a subset of Petri Nets, in a way that is close at how chemical reactions
are defined.
For deterministic solutions, bioPN creates the associated system of differential equations "on the fly", and
solves it with a Runge Kutta Dormand Prince 45 explicit algorithm.
For stochastic solutions, bioPN offers variants of Gillespie algorithm, or SSA.
For hybrid deterministic/stochastic,
it employs the Haseltine and Rawlings algorithm, that partitions the system in fast and slow reactions.
bioPN algorithms are developed in C to achieve adequate performance.
The bioRxiv preprint server (http://www.biorxiv.org) is a website where scientists can post preprints of scholarly texts in biology. Users can search and download PDFs in bulk from the preprint server. The text of abstracts are stored as raw text within R, and PDFs can easily be saved and imported for text mining with packages such as 'tm'.
Bios2mds is primarily dedicated to the analysis of
biological sequences by metric MultiDimensional Scaling with
projection of supplementary data. It contains functions for
reading multiple sequence alignment files, calculating distance
matrices, performing metric multidimensional scaling and
visualizing results.
Data processing tools for electromyogram (EMG) signals to compute the rectified, integrated and averaged EMG. Tools to plot the ensemble average of the EMG.
This packages provides datasets and functions for the book "Initiation à la Statistique avec R", Dunod, 2ed, 2014.
Tools designed to perform and work with cluster analysis (including Tocher's algorithm),
discriminant analysis and path analysis (standard and under collinearity), as well as some
useful miscellaneous tools for dealing with sample size and optimum plot size calculations.
Bipartite provides functions to visualise webs and calculate a series of indices commonly used to describe pattern in ecological webs. It focuses on webs consisting of only two trophic levels, e.g. pollination webs or predator-prey-webs. Visualisation is important to get an idea of what we are actually looking at, while the indices summarise different aspects of the webs topology.
A GUI with which the user can construct and interact with Bootstrap methods on Classical Biplots and with Clustering and/or Disjoint Biplot.
Provides a GUI with which users can construct and interact
with biplots.
Bayesian parameter estimation for (partially observed)
two-dimensional diffusions.
The package contains methods and functions to analyse re-encounter data of birds marked by metal rings. For a tutorial, go to http://www.tandfonline.com/doi/full/10.1080/03078698.2014.933053.
This is a compilation of functions that I found useful to make. It currently includes a unit of measurement conversion function, a Q10 calculator for temperature dependence of chemical and biological rates, and some miscellaneous wrapper functions to make R code shorter and faster to write.
Tools to find bad commits with git bisect. See
https://github.com/wch/bisectr for examples and test script
templates.
Enables the user to infer potential synthetic lethal relationships
by analysing relationships between bimodally distributed gene pairs in big
gene expression datasets.  Enables the user to visualise these candidate
synthetic lethal relationships.
Provides functions for fitting Bayesian monotonic regression models to data.
bitmapped vectors of booleans (no NAs),
coercion from and to logicals, integers and integer subscripts;
fast boolean operators and fast summary statistics.
With 'bit' vectors you can store true binary booleans {FALSE,TRUE} at the
expense of 1 bit only, on a 32 bit architecture this means factor 32 less
RAM and ~ factor 32 more speed on boolean operations. Due to overhead of
R calls, actual speed gain depends on the size of the vector: expect gains
for vectors of size > 10000 elements. Even for one-time boolean operations
it can pay-off to convert to bit, the pay-off is obvious, when such
components are used more than once.
Reading from and writing to bit is approximately as fast as accessing
standard logicals - mostly due to R's time for memory allocation. The package
allows to work with pre-allocated memory for return values by calling .Call()
directly: when evaluating the speed of C-access with pre-allocated vector
memory, coping from bit to logical requires only 70% of the time for copying
from logical to logical; and copying from logical to bit comes at a
performance penalty of 150%. the package now contains further classes for
representing logical selections: 'bitwhich' for very skewed selections and
'ri' for selecting ranges of values for chunked processing. All three index
classes can be used for subsetting 'ff' objects (ff-2.1-0 and higher).
Package 'bit64' provides serializable S3 atomic 64bit (signed) integers
that can be used in vectors, matrices, arrays and data.frames. Methods are
available for coercion from and to logicals, integers, doubles, characters
and factors as well as many elementwise and summary functions. Many fast
algorithmic operations such as 'match' and 'order' support interactive data
exploration and manipulation and optionally leverage caching.
Functions for bitwise operations on integer vectors.
Parameter estimation of bivariate distribution functions
modeled as a Archimedean copula function. The input data may contain
values from right censored. Used marginal distributions are two-parameter.
Methods for density, distribution, survival, random sample generation.
Implements sample size calculations for bivariate random
intercept regression model that are described in Comulada and
Weiss (2010)
This is a port of the WTC MATLAB package written by Aslak Grinsted
and the wavelet program written by Christopher Torrence and Gibert P.
Compo. This package can be used to perform univariate and bivariate
(cross-wavelet, wavelet coherence, wavelet clustering) analyses.
Compute multivariate location, scale, and correlation
estimates based on Tukey's biweight M-estimator.
Business days calculations based on a list of holidays and
nonworking weekdays. Quite useful for fixed income and derivatives pricing.
Fast and accurate calculation of
Blaker's binomial confidence limits
(and some related stuff)
Bland-Altman Plots using base graphics as well as ggplot2,
slightly extended by confidence intervals, with detailed return values and
a sunflowerplot option for data with ties.
A wrapper around the 'Blat' command line SMTP mailer for Windows.
'Blat' is public domain software, but be sure to read the license before use.
It can be found at the Blat website http://www.blat.net.
An integrated set of tools to calculate and analyze Blau statuses quantifying social distance between individuals belonging to organizations. Relational (network) data may be incorporated for additional analyses.
An implementation of the Black-Litterman Model and Atilio
Meucci's copula opinion pooling framework.
Tools for assessing exotic species' contributions to
landscape homogeneity using average pairwise Jaccard similarity
and an analytical approximation derived in Harris et al. (2011,
"Occupancy is nine-tenths of the law," The American
Naturalist). Also includes a randomization method for assessing
sources of model error.
Function for drawing the coastline of the British Isles
This package is an extension to the "ergm" package which implements the block ergms.
Implements regression models for binary data on the absolute risk scale. These models are applicable to cohort and population-based case-control data.
Maximum a posteriori estimation for linear and generalized
linear mixed-effects models in a Bayesian setting. Extends
'lme4' by Douglas Bates, Martin Maechler, Ben Bolker, and Steve Walker.
Data files and functions accompanying the book Korner-Nievergelt, Roth, von Felten, Guelat, Almasi, Korner-Nievergelt (2015) "Bayesian Data Analysis in Ecology using R, BUGS and Stan", Elsevier, New York.
Simultaneous clustering of rows and columns, usually designated by
biclustering, co-clustering or block clustering, is an important technique
in two way data analysis. It consists of estimating a mixture model which
takes into account the block clustering problem on both the individual and
variables sets. The blockcluster package provides a bridge between the C++
core library and the R statistical computing environment. This package
allows to co-cluster binary, contingency, continuous and categorical
data-sets. It also provides utility functions to visualize the results.
This package may be useful for various applications in fields of Data
mining,Information retrieval, Biology, computer vision and many more. More
information about the project and comprehensive tutorial can be found on
the link mentioned in URL.
Some elementary matrix algebra tools are implemented to manage
block matrices or partitioned matrix, i.e. "matrix of matrices"
(http://en.wikipedia.org/wiki/Block_matrix). The block matrix is here
defined as a new S3 object. In this package, some methods for "matrix"
object are rewritten for "blockmatrix" object. New methods are implemented.
This package was created to solve equation systems with block matrices for
the analysis of environmental vector time series .
Bugs/comments/questions/collaboration of any kind are warmly welcomed.
Creates strings that show a text message in 8 by 8 block
letters
The package is primarly ment as an implementation of
Generalized blockmodeling for valued networks. In addition,
measurese of similarity or dissimilarity based on structural
equivalence and regular equivalence (REGE algorithem) can be
computed and partitioned matrices can be ploted.
Latent and Stochastic Block Model estimation by a Variational EM algorithm.
Various probability distribution are provided (Bernoulli,
Poisson...), with or without covariates.
Create randomizations for block random clinical trials.
Can also produce a pdf file of randomization cards.
Nested block designs for unstructured treatment sets where blocks
can be repeatedly nested and treatments can have different levels of
replication. Blocks are optimized hierarchically from the top down with each set of
nested blocks optimized within the levels of any existing higher-level blocks.
Block sizes are equal if the number of blocks exactly divides the number of plots,
otherwise they differ by at most one plot. The design output is a data
table giving a randomised allocation of treatments to blocks together with
a plan table showing treatments in blocks and a set of blocks-by-treatments
incidence matrices, one for each blocks stratum.
Blocks units into experimental blocks, with one unit per treatment condition, by creating a measure of multivariate distance between all possible pairs of units.  Maximum, minimum, or an allowable range of differences between units on one variable can be set.  Randomly assign units to treatment conditions.  Diagnose potential interference between units assigned to different treatment conditions.  Write outputs to .tex and .csv files.
Optimize a function with constraints via a transformation of the
Lagrangian.
Allows users to request data for one or multiple series through the U.S. Bureau of Labor Statistics API.  Users provide parameters as specified in http://www.bls.gov/developers/api_signature.htm and the function returns a JSON string.
Package for Bayesian model averaging for linear models,
generalizable linear models and survival models (cox
regression).
Benchmark dose analysis for continuous and quantal
dose-response data.
Four methods for mediation analysis with missing data: Listwise deletion, Pairwise deletion, Multiple imputation, and Two Stage Maximum Likelihood algorithm. For MI and TS-ML, auxiliary variables can be included. Bootstrap confidence intervals for mediation effects are obtained. The robust method is also implemented for TS-ML. Since version 1.4, bmem adds the capability to conduct power analysis for mediation models.
The BMhyd package analyzes the phenotypic evolution of species of hybrid origin on a phylogenetic network. This package can detect the hybrid vigor effect, a burst of variation at formation, and the relative portion of heritability from its parents. Parameters are estimated by maximum likelihood technique. Users need to enter comparative data set and phylogenetic networks in eNewick format. The full model contains five parameters: the overall mean, the overall variance, the hybrid vigor, the hybrid variation and the proportion of heritability. We report four different models. All fix the heritability to equal contributions from each parent. Model 1 fixes the hybrid vigor and burst of variation at formation at 1 and 0; respectively. Model 2 fixes the hybrid vigor at 1 but allow the burst of variation at formation to vary; model 3 allows hybrid vigor to vary but fixes burst of variation at origin; and model 4 allows both to vary. Those models are compared under sample size correction Akaike Information Criterion (AICc). The model averaged parameter estimates are reported.
This is a bare-bones implementation of sampling algorithms
for a variety of Bayesian stick-breaking (marginally DP)
mixture models, including particle learning and Gibbs sampling
for static DP mixtures, particle learning for dynamic BAR
stick-breaking, and DP mixture regression.  The software is
designed to be easy to customize to suit different situations
and for experimentation with stick-breaking models.  Since
particles are repeatedly copied, it is not an especially
efficient implementation.
MCMC diagnostic package that contains tools to diagnose
convergence as well as to evaluate sensitivity studies,
Includes summary functions which output mean, median,
95percentCI, Gelman & Rubin diagnostics and the Hellinger
distance based diagnostics, Also contains functions to
determine when an MCMC chain has converged via Hellinger
distance, A function is also provided to compare outputs from
identically dimensioned chains for determining sensitivy to
prior distribution assumptions
This package implements approximate and exact methods for
pairwise binary markov models. The exact method uses an
implementation of the junction tree algorithm for binary
graphical models. For more details see the help files
Reads Windows BMP format images. Currently limited to 8 bit
greyscale images and 24,32 bit (A)RGB images. Pure R implementation without
external dependencies.
Bundle methods for minimization of convex and non-convex risk
under L1 or L2 regularization. Implements the algorithm proposed by Teo et
al. (JMLR 2010) as well as the extension proposed by Do and Artieres (JMLR
2012). The package comes with lot of loss functions for machine learning
which make it powerful for big data analysis. The applications includes:
structured prediction, linear SVM, multi-class SVM, f-beta optimization,
ROC optimization, ordinal regression, quantile regression,
epsilon insensitive regression, least mean square, logistic regression,
least absolute deviation regression (see package examples), etc... all with
L1 and L2 regularization.
Bayesian Model Averaging for linear models with a wide choice of (customizable) priors. Built-in priors include coefficient priors (fixed, flexible and hyper-g priors), 5 kinds of model priors, moreover model sampling by enumeration or various MCMC approaches. Post-processing functions allow for inferring posterior inclusion and model probabilities, various moments, coefficient and predictive densities. Plotting functions available for posterior model size, MCMC convergence, predictive and coefficient densities, best models representation, BMA comparison.
Implementation of different algorithms for learning discrete Bayesian network classifiers from data, including wrapper algorithms and those based on Chow-Liu's algorithm.
Data generator based on Bayesian network model
Bayesian network structure learning, parameter learning and
inference.
This package implements constraint-based (GS, IAMB, Inter-IAMB, Fast-IAMB,
MMPC, Hiton-PC), pairwise (ARACNE and Chow-Liu), score-based (Hill-Climbing
and Tabu Search) and hybrid (MMHC and RSMAX2) structure learning algorithms
for discrete, Gaussian and conditional Gaussian networks, along with many
score functions and conditional independence tests.
The Naive Bayes and the Tree-Augmented Naive Bayes (TAN) classifiers are
also implemented.
Some utility functions (model comparison and manipulation, random data
generation, arc orientation testing, simple and advanced plots) are
included, as well as support for parameter estimation (maximum likelihood
and Bayesian) and inference, conditional probability queries and
cross-validation. Development snapshots with the latest bugfixes are
available from www.bnlearn.com.
Implementation of Bayesian estimation in normal heteroscedastic nonlinear regression Models following Cepeda-Cuervo, (2001).
Modeling mixtures with normalized random measures by a Ferguson-Klass type algorithm for posterior normalized random measures.
Implements the Bayesian nonparametric monotonic regression
method described in Bornkamp & Ickstadt (2009), Biometrics, 65,
198-205.
Performs the algorithm for time series clustering described in Nieto-Barajas and Contreras-Cristan (2014).
Markov chain Monte Carlo algorithms for non- and semi-parametric models.
Bayesian Network Structure Learning from Data with Missing Values.
The package implements the Silander-Myllymaki complete search,
the Max-Min Hill-climbing heuristic search, and the Structural
Expectation-Maximization algorithm. Available scoring functions are
BDeu, AIC, BIC. The package also implements methods for generating and using
bootstrap samples, imputed data, inference.
A menu-driven program and library of functions for carrying out
convergence diagnostics and statistical and graphical analysis of Markov
chain Monte Carlo sampling output.
An implementation of three statistical tests for identification of COG (Cluster of Orthologous Groups) that are over represented among genes that show differential expression under conditions. It also provides tabular and graphical summaries of the results for easy visualisation and presentation.
Generic Extraction of main text content from HTML files; removal
of ads, sidebars and headers using the boilerpipe
(http://code.google.com/p/boilerpipe/) Java library. The
extraction heuristics from boilerpipe show a robust performance for a wide
range of web site templates.
The Bayesian optimal interval (BOIN) design is a novel phase I clinical trial design for finding the maximum tolerated dose (MTD). The BOIN design is motivated by the top priority and concern of clinicians when testing a new drug, which is to effectively treat patients and minimize the chance of exposing them to subtherapeutic or overly toxic doses. The prominent advantage of the BOIN design is that it achieves simplicity and superior performance at the same time. The BOIN design is algorithm-based and can be implemented in a simple way similar to the traditional 3+3 design. The BOIN design yields an average performance that is comparable to that of the continual reassessment method (CRM, one of the best model-based designs) in terms of selecting the MTD, but has a substantially lower risk of assigning patients to subtherapeutic or overly toxic doses.
A programmatic interface to the Web Service methods provided by
Bold Systems for genetic barcode data. Functions include methods for
searching by sequences by taxonomic names, ids, collectors, and
institutions; as well as a function for searching for specimens, and
downloading trace files.
A set of R functions and data sets for the book
Introduction to Bayesian Statistics, Bolstad, W.M. (2007), John
Wiley & Sons ISBN 0-471-27020-2
A set of R functions and data sets for the book
Understanding Computational Bayesian Statistics, Bolstad, W.M.
(2009), John Wiley & Sons ISBN 978-0470046098
This package implements a
partial-observability procedure for testing Boolean
hypotheses that generalizes the binary response GLM as
outlined in Braumoeller (2003).
Provides methods to reconstruct and generate synchronous,
asynchronous, probabilistic and temporal Boolean networks, and to
analyze and visualize attractors in Boolean networks.
A C++ library for Bayesian modeling, with an emphasis on
Markov chain Monte Carlo.  Although boom contains a few R utilities
(mainly plotting functions), its primary purpose is to install the
BOOM C++ library on your system so that other packages can link
against it.
Spike and slab regression a la McCulloch and George (1997).
boostr provides a modular framework that return the focus of
ensemble learning back to 'learning' (instead of programming).
This package contains functionality to select a subsample
of a genotyped cohort e.g. from a GWAS that is preferential for
resequencing under the assumtion that causal variants share a
haplotype with the risk allele of associated variants. The
subsample is selected such that is contains risk alleles at
maximum frequency for all SNPs specified. Phentoypes can also
be included as additional variables to obtain a higher fraction
of extreme phenotypes. An arbitrary number of SNPs and/or
phentoypes can be specified for enrichment in a single
subsample.
Functions and datasets for bootstrapping from the
book "Bootstrap Methods and Their Applications" by A. C. Davison and
D. V. Hinkley (1997, CUP), originally written by Angelo Canty for S.
Functions for calculating bootstrap effect sizes
Computes appropriate confidence intervals for the likelihood ratio tests commonly used in medicine/epidemiology.  It is particularly useful when the sensitivity or specificity in the sample is 100%.  Note that this does not perform the test on nested models--for that, see 'epicalc::lrtest'.
Bootstrap standard errors on various network estimation routines, such as EBICglasso from the qgraph package and IsingFit from the IsingFit package.
Bias-Corrected Forecasting and Bootstrap Prediction Intervals for Autoregressive Time Series
Calculation of Bootstrapped Response and Correlation
Functions for Use in Dendroclimatology
This package provides a framework for testing the probability of ruin in the classical (compound Poisson) risk process. It also includes some procedures for assessing and comparing the performance between the bootstrap test and the test using asymptotic normality.
Bootstrap for testing the hypothesis that the spectral
densities of a number m, m>=2, not necessarily independent time
series are equal
Bootstrap Subsamplings of sparse Partial Least Squares - Discriminant Analysis (sPLS-DA) for Classification and Signature Identification. The method is applicable to any classification problem with more than 2 classes. It relies on bootstrap subsamplings of sPLS-DA and provides tools to select the most stable variables (defined as the ones consistently selected over the bootstrap subsamplings) and to predict the class of test samples.
Model selection by bootstrapping the stepAIC() procedure.
Software (bootstrap, cross-validation, jackknife) and data
for the book "An Introduction to the Bootstrap" by B. Efron and
R. Tibshirani, 1993, Chapman and Hall.
_____________________________________________________________
This package is primarily provided for projects already based
on it, and for support of the book.  New projects should
preferentially use the recommended package "boot".
Implements fast, exact bootstrap Principal Component Analysis and
Singular Value Decompositions for high dimensional data, as described in
<http://arxiv.org/abs/1405.0922>. For data matrices that are too large to operate
on in memory, users can input objects with class 'ff' (see the 'ff'
package), where the actual data is stored on disk. In response, this
package will implement a block matrix algebra procedure for calculating the
principal components (PCs) and bootstrap PCs. Depending on options set by
the user, the 'parallel' package can be used to parallelize the calculation of
the bootstrap PCs.
Used to create bootstrap tolerance levels for the Kolmogorov-Smirnov (KS) statistic, the area under receiver operator characteristic curve (AUROC) statistic, and the Gini coefficient for each score cutoff. Also provides a bootstrap alternative to the Vasicek test.
Bayesian approaches for analyzing multivariate data in ecology. Estimation is performed using Markov Chain Monte Carlo (MCMC) methods via JAGS. Three types of models may be fitted: 1) With explanatory variables only, boral fits independent column GLMs to each column of the response matrix; 2) With latent variables only, boral fits a purely latent variable model for model-based unconstrained ordination; 3) With explanatory and latent variables, boral fits correlated column GLMs with latent variables to account for any residual correlation between the columns of the response matrix.
Boruta is an all-relevant feature selection wrapper algorithm.
It finds relevant features by comparing original attributes'
importance with importance achievable at random, estimated
using their permuted copies.
BOSS uses parameter estimates obtained without genotype to boost standard one-step approximations, and precomputes as much as possible without genotype (using boss.set) to minimize effort required.
Sort sequence from genbank. Retrieve sequence information
from genbank (designed for viruses sequences and retrieve
information such as isolation date and host). BLAST sequence
and accession numbers. Detect group of sequences presenting
phylogeography signal. Read PDB file (protein 3D structure
file).
This package is a collection of R functions implemented
from published and available analytic solutions for the
One-Dimensional Boussinesq Equation (ground-water). In
particular, the function "beq.lin" is the analytic solution of
the linearized form of Boussinesq Equation between two
different head-based boundary (Dirichlet) conditions;
"beq.song" is the non-linear power-series analytic solution of
the motion of a wetting front over a dry bedrock (Song at al,
2007, see complete reference on function documentation).
Bugs/comments/questions/collaboration of any kind are warmly
welcomed.
Correlation chart of two set (x and y) of data.
Using Quartiles with boxplot style.
Visualize the effect of factor.
An R interface for the remote file hosting service 'Box'
(https://www.box.com/). In addition to uploading and downloading files, this
package includes functions which mirror base R operations for local files,
(e.g. box_load(), box_save(), box_read(), box_setwd(), etc.), as well as 'git'
style functions for entire directories (e.g. box_fetch(), box_push()).
Implements biplot (2d and 3d) of multivariate data based
on principal components analysis and diagnostic tools of the quality of the reduction.
Calculates nonparametric pointwise confidence intervals for the survival distribution for right censored data. Has two-sample tests for dissimilarity (e.g., difference, ratio or odds ratio) in survival at a fixed time. Especially important for small sample sizes or heavily censored data. Includes mid-p options.
bPeaks is a simple approach to identify transcription factor binding sites from ChIP-seq data. Our general philosophy is to provide an easy-to-use tool, well-adapted for small eukaryotic genomes (< 20 Mb). bPeaks uses a combination of 4 cutoffs (T1, T2, T3 and T4) to mimic "good peak" properties as described by biologists who visually inspect the ChIP-seq data on a genome browser. For yeast genomes, bPeaks calculates the proportion of peaks that fall in promoter sequences. These peaks are good candidates as transcription factor binding sites.
Nonparametric multivariate kernel density \
estimation using a back-projected kernel.
QTL mapping toolkit for inbred crosses and recombinant
inbred lines. Includes maximum likelihood and Bayesian tools.
Specify and fit the Bradley-Terry model, including structured versions in which the parameters are related to explanatory variables through a linear predictor and versions with contest-specific effects, such as a home advantage.
Blind users do not have access to the graphical output from R without printing the content of graph windows to an embosser of some kind. This is not as immediate as is required for efficient access to statistical output. The functions here are created so that blind people can make even better use of R. This includes the text descriptions of graphs, convenience functions to replace the functionality offered in many GUI front ends, and experimental functionality for optimising graphical content to prepare it for embossing as tactile images.
This includes functions for creating 3D and 4D images using WebGL, RGL, and JavaScript Commands.  This package relies on the X ToolKit (XTK, https://github.com/xtk/X#readme).
This package computes the correlation matrix for each
scale of a wavelet decomposition, namely the one performed by
the R package waveslim (Whitcher, 2000). An hypothesis test is
applied to each entry of one matrix in order to construct an
adjacency matrix of a graph. The graph obtained is finally
analysed using the small-world theory (Watts and Strogatz,
1998) and using the computation of efficiency (Latora, 2001),
tested using simulated attacks. The brainwaver project is
complementary to the camba project for brain-data
preprocessing. A collection of scripts (with a makefile) is
avalaible to download along with the brainwaver package, see
information on the webpage mentioned below.
Estimates geometry of SICM pipette tips by fitting a physical model to recorded breakage-current data.
breakaway estimates and models total (observed plus unobserved) species richness. It is applicable to any situation where an unknown number of classes is to be estimated, but is especially suited to the microbial context. Microbial diversity datasets are characterized by a large number of rare species and a small number of highly abundant species. The class of models implemented by breakaway is flexible enough to model both these features. In the event that the practitioner does not believe or trust their singleton count, the procedure breakaway_nof1 estimates diversity in a way that does not require a singleton count. betta_basic runs a regression-type analysis of estimated total diversity, thus permitting accounting for unobserved taxa while also incorporating available covariate information. betta_basic does not enforce use of breakaway for diversity estimation.
Implements the cross-entropy (CE) method, which is a model based stochastic optimization technique to estimate both the number and their corresponding locations of break-points in biological sequences of continuous and discrete measurements as described in Priyadarshana and Sofronov (2014, 2012a, 2012b).
A collection of functions to analyse, visualize and interpret wind data
and to calculate the potential energy production of wind turbines.
brew implements a templating framework for mixing text and
R code for report generation. brew template syntax is similar
to PHP, Ruby's erb module, Java Server Pages, and Python's psp
module.
Retrieves and parses graduate admissions survey data from the Grad Cafe website (http://thegradcafe.com).
Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'.  More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
Decomposes the empirical Brier score into reliability, resolution and uncertainty. Two different estimators for the components are provided: The original estimators proposed by Murphy (1974), and the bias-corrected estimators proposed by Ferro and Fricker (2012). Sampling variances of all the components are estimated. This package applies only to probabilistic predictions of binary events.
Fit Bayesian generalized linear mixed models using Stan for full Bayesian inference.
Bayesian regularization for feed-forward neural networks
Handles very large numbers in R.  Real numbers are held
using their natural logarithms, plus a logical flag indicating
sign.  The package includes a vignette that gives a
step-by-step introduction to using S4 methods.
Convert statistical analysis objects from R into tidy data frames,
so that they can more easily be combined, reshaped and otherwise processed
with tools like 'dplyr', 'tidyr' and 'ggplot2'. The package provides three S3
generics: tidy, which summarizes a model's statistical findings such as
coefficients of a regression; augment, which adds columns to the original
data such as predictions, residuals and cluster assignments; and glance,
which provides a one-row summary of model-level statistics.
Fully-interactive R interface to the 'OpenBUGS' software for Bayesian analysis using MCMC sampling.  Runs natively and stably in 32-bit R under Windows.  Versions running on Linux and on 64-bit R under Windows are in "beta" status and less efficient.
Collection of functions, data sets and code examples
for evaluations of field trials with the objective of equivalence assessment.
Data sets for book "Basic Statistics and Data Analysis" by
Larry J. Kitchens
The integration of Bayesian variable and sparse group variable selection approaches for regression models.
Bayesian survival model using Weibull regression on both scale and shape parameters.
The function estimates the hazard function non parametrically from a survival object (possibly adjusted for covariates). The smoothed estimate is based on B-splines from the perspective of generalized linear mixed models. Left truncated and right censoring data are allowed.
Bayes screening and model discrimination follow-up designs.
Bayesian inference on the (discrete) power spectrum of time series.
Some functions for nonparametric and semiparametric
Bayesian models for random effects meta-analysis
This package models the quantile process as a function of
predictors.
Functions to compute the asymptotic covariance matrices of mixing and unmixing matrix estimates of the following blind source separation (BSS) methods: symmetric FastICA, regular and adaptive deflation-based FastICA, FOBI, JADE, AMUSE and deflation-based and symmetric SOBI. Also functions to estimate these covariances based on data are available.
The package contains HingeBoost for binary and multi-class classification, with unequal misclassification costs for binary case. Functional gradient descent algorithm to optimize the hinge loss. The algorithm can fit linear and nonlinear classifiers.
Time series regression using dynamic linear models fit using MCMC.
Trend filtering uses the generalized
lasso framework to fit an adaptive polynomial of degree k to
estimate the function f_0 at each input x_i in the model: y_i =
f_0(x_i) + epsilon_i, for i = 1, ..., n, and epsilon_i
is sub-Gaussian with E(epsilon_i) = 0.  Bayesian trend filtering adapts
the genlasso framework to a fully Bayesian hierarchical model, estimating
the penalty parameter lambda within a tractable Gibbs sampler.
BTSPAS provides advanced Bayesian methods to estimate
abundance and run-timing from temporally-stratified
Petersen mark-recapture experiments. Methods include
hierarchical modelling of the capture probabilities
and spline smoothing of the daily run size. This version
uses JAGS to sample from the posterior distribution.
This package contains functions for data preparation, parameter estimation, scoring, and plotting for the BG/BB, BG/NBD and Pareto/NBD models.
Buckley-James regression for right-censoring survival data with high-dimensional covariates. Including L_2 boosting with componentwise linear least squares, componentwise smoothing splines, P-splines, regression trees and boosted MARS. Other high-dimensional tools include elastic net and MARS.
A suite of functions for finance, including the estimation
of variance matrices via a statistical factor model or
Ledoit-Wolf shrinkage.
corner, genetic optimization, permutation tests
An implementation of Jon Kleinberg's burst detection algorithm.  Uses an infinite Markov model to detect periods of increased activity in a series of discrete events with known times, and provides a simple visualization of the results.
R/C++ implementation of the model proposed by Primiceri ("Time Varying Structural Vector Autoregressions and Monetary Policy", Review of Economic Studies, 2005), with a focus on generating posterior predictive distributions.
This package implements a simple alternative to the
traditional Venn diagram. It depicts each overlap as a separate
bubble with area proportional to the overlap size. Relation of
the bubbles to input sets is shown by their their arrangement.
An R interface to the Stark-Parker implementation of an
algorithm for bounded-variable least squares
Functions that solve boundary value problems (BVP) of systems of ordinary
differential equations (ODE).
The functions provide an interface to the FORTRAN functionS
twpbvpC, colnew/colsys, and an R-implementation of the shooting method.
The functions in this package focus on analyzing
case-control association studies involving a group of genetic
variants.  In particular, we are interested in modeling the
outcome variable as a function of a multivariate genetic
profile using Bayesian model uncertainty and variable selection
techniques.  The package incorporates functions to analyze data
sets involving common variants as well as extensions to model
rare variants via the Bayesian Risk Index (BRI) as well as
haplotypes.  Finally, the package also allows the incorporation
of external biological information to inform the marginal
inclusion probabilities via the iBMU.
c060 provides additional functions to perform stability selection, model validation and parameter tuning for glmnet models
This package allows inferring gene regulatory networks
with direct physical interactions from microarray expression
data using C3NET.
C5.0 decision trees and rule-based models for pattern recognition.
A package for computation and visualization of simple, multiple and joint correspondence analysis.
Performs correspondence analysis on a two-way contingency
table and produces bootstrap-based elliptical confidence
regions around the projected coordinates for the category
points. Includes routines to plot the results in a variety of
styles. Also reports the standard numerical output for
correspondence analysis.
Computes classification accuracy and consistency under Item Response Theory by the approach proposed by Lee, Hanson & Brennen (2002) and Lee (2010) or the approach proposed by Rudner (2001, 2005).
Parameters of a user-specified probability distribution are modelled by a multi-layer perceptron artificial neural network. This framework can be used to implement probabilistic nonlinear models including mixture density networks, heteroscedastic regression models, zero-inflated models, and the like.
This package performs Hansen's (1995) Covariate-Augmented
Dickey-Fuller (CADF) test. The only required argument is y, the
Tx1 time series to be tested. If no stationary covariate X is
passed to the procedure, then an ordinary ADF test is
performed. The p-values of the test are computed using a
procedure proposed in Costantini, Lupi and Popp (2007),
illustrated in Lupi (2009).
Provides functions for the estimation of the conditional Akaike
information in generalized mixed-effects models fitted with (g)lmer
form lme4.
Cairo graphics device that can be use to create high-quality vector (PDF, PostScript and SVG) and bitmap output (PNG,JPEG,TIFF), and high-quality rendering in displays (X11 and Win32). Since it uses the same back-end for all output, copying across formats is WYSIWYG. Files are created without the dependence on X11 or other external programs. This device supports alpha channel (semi-transparent drawing) and resulting images can contain transparent and semi-transparent regions. It is ideal for use in server environments (file output) and as a replacement for other devices that don't have Cairo's capabilities such as alpha support or anti-aliasing. Backends are modular such that any subset of backends is supported.
This device uses Cairo and GTK to draw to the screen,
file (png, svg, pdf, and ps) or memory (arbitrary GdkDrawable
or Cairo context). The screen device may be embedded into RGtk2
interfaces and supports all interactive features of other graphics
devices, including getGraphicsEvent().
Functions to impute using Random Forest under Full Conditional Specifications (Multivariate Imputation by Chained Equations). The CALIBER programme is funded by the Wellcome Trust (086091/Z/08/Z) and the National Institute for Health Research (NIHR) under its Programme Grants for Applied Research programme (RP-PG-0407-10314). The author is supported by a Wellcome Trust Clinical Research Training Fellowship (0938/30/Z/10/Z).
Package for drawing calibrated scales with tick marks on (non-orthogonal)
variable vectors in scatterplots and biplots.
Performs Bayesian calibration of computer models as per
Kennedy and O'Hagan 2001.  The package includes routines to find the
hyperparameters and parameters; see the help page for stage1() for a
worked example using the toy dataset.  A tutorial is provided in the
calex.Rnw vignette; and a suite of especially simple one dimensional
examples appears in inst/doc/one.dim/.
A multi-array post-processing method of allele-specific copy-number estimates (ASCNs).
The code takes an n x p data matrix and fits a Causal Additive Model (CAM) for estimating the causal structure of the underlying process. The output is a p x p adjacency matrix (a one in entry (i,j) indicates an edge from i to j). Details of the algorithm can be found in: P. Bühlmann, J. Peters, J. Ernest: "CAM: Causal Additive Models, high-dimensional order search and penalized regression", Annals of Statistics 42:2526-2556, 2014.
Tools for the analysis of finite semiparametric mixtures.
These are useful when data is heterogeneous, e.g. in
pharmacokinetics or meta-analysis. The NPMLE and VEM algorithms
(flexible support size) and EM algorithms (fixed support size)
are provided for univariate and bivariate data
The package "camel" provides the implementation of a family of high-dimensional calibrated machine learning tools, including (1) LAD, SQRT Lasso and Calibrated Dantzig Selector for estimating sparse linear models; (2) Calibrated Multivariate Regression for estimating sparse multivariate linear models; (3) Tiger, Calibrated Clime for estimating sparse Gaussian graphical models. We adopt the combination of the dual smoothing and monotone fast iterative soft-thresholding algorithm (MFISTA). The computation is memory-optimized using the sparse matrix output, and accelerated by the path following and active set tricks.
Management of and data extraction from camera trap photographs in wildlife studies. The package provides a workflow for storing and sorting camera trap photographs, computes record databases and detection/non-detection matrices for occupancy analysis with great flexibility. In addition, it provides simple mapping functions (number of species, number of independent species detections by station) and can plot activity data using various functions (using package overlap and adapting function from the plotrix package).
This is a package with functions for timing copy number changes using estimates of mutational allele frequency from resequencing of tumor samples.
Functions for computing and visualizing
generalized canonical discriminant analyses and canonical correlation analysis
for a multivariate linear model.
Traditional canonical discriminant analysis is restricted to a one-way 'MANOVA'
design and is equivalent to canonical correlation analysis between a set of quantitative
response variables and a set of dummy variables coded from the factor variable.
The 'candisc' package generalizes this to higher-way 'MANOVA' designs
for all factors in a multivariate linear model,
computing canonical scores and vectors for each term. The graphic functions provide low-rank (1D, 2D, 3D)
visualizations of terms in an 'mlm' via the 'plot.candisc' and 'heplot.candisc' methods. Related plots are
now provided for canonical correlation analysis when all predictors are quantitative.
This package combines complementary information across multiple related phenotypes to infer directed epistatic interactions between genetic markers. The analysis in this package can be applied to a variety of engineered and natural populations.
Functions for performing phylogenetic comparative analyses.
Quantitative analysis to support companion animal population
management.
Provides a method for automatically numbering figures,
tables, or other objects.  Captions can be displayed in full, or as citations.
This is especially useful for adding figures and tables to R markdown
documents without having to numbering them manually.
This package is devoted to the calibration of penalized
criteria for model selection. The calibration methods available
in this package are based on the slope heuristics.
Fits models from Miller et al. 2005 to estimate population
sizes from natural populations. Several models are implemented.
Package also includes functions to perform a likelihood ratio
test to choose between models, perform parametric bootstrapping
to obtain confidence intervals and multiple functions to
simulate data.
Functions and Datasets to Accompany J. Fox and S. Weisberg,
An R Companion to Applied Regression, Second Edition, Sage, 2011.
Implements a class of spatial generalised linear mixed models for areal unit data, with inference in a Bayesian setting using Markov chain Monte Carlo (McMC) simulation. The response variable can be binomial, Gaussian or Poisson. The spatial autocorrelation is modelled by  a set of random effects, which are assigned a conditional autoregressive (CAR) prior distribution. A number of different CAR priors are available for the random effects, and full details are given in the vignette accompanying this package. The initial creation of this package was supported by the Economic and Social Research Council (ESRC) grant RES-000-22-4256, and on-going development is supported by the Engineering and Physical Science Research Council (EPSRC) grant EP/J017442/1.
Three spatial data sets from Scotland used in the vignette accompanying the CARBayes package. These include a lip cancer data set for all of Scotland, and property price and respiratory hospitalisation data sets from the Greater Glasgow and Clyde health board.
Implements a class of spatio-temporal generalised linear mixed models for areal unit data, with inference in a Bayesian setting using Markov chain Monte Carlo (McMC) simulation. The response variable can be binomial, Gaussian or Poisson. The spatio-temporal autocorrelation is modelled by  random effects,  which are assigned conditional autoregressive (CAR) prior distributions. A number of different random effects structures are available, and full details are given in the vignette accompanying this package and the references below. The creation of this package was supported by the Engineering and Physical Science Research Council (EPSRC) grant EP/J017442/1 and the Medical Research Council (MRC) grant MR/L022184/1.
The number of bird or bat fatalities from collisions with buildings, towers or wind energy turbines can be estimated based on carcass searches and experimentally assessed carcass persistence times and searcher efficiency. Functions for estimating the probability that a bird or bat that died is found by a searcher are provided. Further functions calculate the posterior distribution of the number of fatalities based on the number of carcasses found and the estimated detection probability.
Identification of cardinal dates
(begin, time of maximum, end of mass developments)
in ecological time series using fitted Weibull functions.
Implements the regression approach
of Zuber and Strimmer (2011) "High-dimensional regression and variable
selection using CAR scores" SAGMB 10: 34.
CAR scores measure the correlation between the response and the
Mahalanobis-decorrelated  predictors.  The squared CAR score is a
natural measure of variable importance and provides a canonical
ordering of variables. This package provides functions for estimating
CAR scores, for variable selection using CAR scores, and for estimating
corresponding regression coefficients. Both shrinkage as well as
empirical estimators are available.
The R package CARE1, the first part of the program CARE
(Capture-Recapture) in
http://chao.stat.nthu.edu.tw/softwareCE.html, can be used to
analyze epidemiological data via sample coverage approach (Chao
et al. 2001a). Based on the input of records from several
incomplete lists (or samples) of individuals, the R package
CARE1 provides output of population size estimate and related
statistics.
Misc functions for training and plotting classification and
regression models.
Functions for creating ensembles of caret models: caretList,
caretEnsemble, and caretStack.  caretList is a convenience function for
fitting multiple caret::train models to the same dataset. caretEnsemble will
make a linear combination of these models using greedy forward selection,
and caretStack will make linear or non-linear combinations of these models,
using a caret::train model as a meta-model.
This is a package for estimating the population size of
migratory caribou herds based on large scale aggregations
monitored by radio telemetry. It implements the methodology
found in the article by Rivest et al. (1998) about caribou
abundance estimation. It also includes a function based on the
Lincoln-Petersen Index as applied to radio telemetry data by
White and Garrott (1990).
Includes commands for bootstrapping and permutation tests, a command for created grouped bar plots, and a demo of the quantile-normal plot for data drawn from different distributions.
Functions to calculate and plot ecological quality ratios (EQR) as specified by Ballesteros et al. 2007.
The caroline R library contains dozens of functions useful
for: database migration (dbWriteTable2), database style joins &
aggregation (nerge, groupBy & bestBy), data structure
conversion (nv, tab2df), legend table making (sstable &
leghead), plot annotation (labsegs & mvlabs), data
visualization (violins, pies & raPlot), character string
manipulation (m & pad), file I/O (write.delim), batch scripting
and more.  The package's greatest
contributions lie in the database style merge, aggregation and
interface functions as well as in it's extensive use and
propagation of row, column and vector names in most functions.
This package fits Bayesian conditional autoregressive
models for spatial and spatiotemporal data on a lattice.  It
uses Nvidia GPUs to perform rejection sampling to obtain
independent samples from the joint posterior distribution of
model parameters.
This package fits Bayesian conditional autoregressive models for spatial and spatiotemporal data on a lattice.  It uses OpenCL kernels running on GPUs to perform rejection sampling to obtain independent samples from the joint posterior distribution of model parameters.
Functions, data sets and exercises solutions for the book 'Séries temporelles avec R - Méthodes et cas' (Yves Aragon, Springer, 2011). For all chapters, a vignette is available with some additional material and exercises solutions.
This package allows users to identify similar cases for qualitative case studies using statistical matching methods.
Analysis of categorical-variable with missing values
This R-package contains examples from the book "Regression for Categorical Data", Tutz 2011, Cambridge University Press. The names of the examples refer to the chapter and the data set that is used.
Based on fishery Catch Dynamics instead of fish Population Dynamics (hence CatDyn) and using high-frequency or medium-frequency catch in biomass or numbers, fishing nominal effort, and mean fish body weight by time step, from one or two fishing fleets, estimate stock abundance, natural mortality rate, and fishing operational parameters. It includes methods for data organization, plotting standard exploratory and analytical plots, predictions, for 77 types of models of increasing complexity, and 56 likelihood models for the data.
Gives methods to create a catenary object and then plot it
and get properties of it. Can construct from parameters or
endpoints. Also can get catenary fitted to data.
A multi-factor dimensionality reduction based forward selection method for genetic association mapping.
Detect and quantify community assembly processes using trait values of individuals or populations, the T-statistics and other metrics, and dedicated null models.
Functions designed to simulate data that conform to basic
unidimensional IRT models (for now 3-parameter binary response models
and graded response models) along with Post-Hoc CAT simulations of
those models with various item selection methods, ability estimation
methods, and termination criteria.
Structure learning and parameter estimation of discrete Bayesian networks using likelihood-based criteria.  Exhaustive search for fixed node orders and stochastic search of optimal orders via simulated annealing algorithm are implemented.
Contains several basic utility functions including: moving
(rolling, running) window statistic functions, read/write for
GIF and ENVI binary files, fast calculation of AUC, LogitBoost
classifier, base64 encoder/decoder, round-off-error-free sum
and cumsum, etc.
Generation of response patterns under dichotomous and polytomous computerized adaptive testing (CAT) framework.
`ctab' creates (multiway) percentage tables. `sqtab'
contains a set of functions for estimating models for square
tables such as quasi-independence, symmetry, uniform
association. Examples show how to use these models in a
loglinear model using glm or in a multinomial logistic model
using mlogit or clogit
An implementation of a conditional causal effect identification algorithm constructed by Ilya Shpitser and Judea Pearl (2006) for deriving expressions of joint interventional distributions in causal models, which contain unobserved variables and induce directed acyclic graphs.
Estimate causal effects of one variable on another, currently for
binary data only. Methods include instrumental variable bounds, adjustment by a
given covariate set, adjustment by an induced covariate set using a variation of
the PC algorithm, and an effect bounding method (the Witness Protection Program)
based on covariate adjustment with observable independence constraints.
This package implements various estimators for average
treatment effects---an inverse probability weighted (IPW)
estimator, an augmented inverse probability weighted (AIPW)
estimator, and a standard regression estimator---that make use
of generalized additive models for the treatment assignment
model and/or outcome model.
The causalsens package provides functions to perform sensitivity analyses and to study how various assumptions about selection bias affects estimates of causal effects.
The Causata package provides utilities for
extracting data from the Causata application, training binary classification
models, and exporting models as PMML for scoring.
Six variants of two-way correspondence analysis can be performed,
simple ca
singly ordered ca
doubly ordered ca
non symmetrical ca
singly ordered non symmetrical ca
doubly ordered non symmetrical ca
Implements clustering techniques such as Proximus and Rock, utility functions for efficient computation of cross distances and data manipulation.
CBPS is an R package that implements the covariate balancing propensity score proposed by Imai and Ratkovic (2014; JRSSB). The propensity score is estimated such that it maximizes the resulting covariate balance as well as the prediction of treatment assignment. The method, therefore, avoids an iteration between model fitting and balance checking.  The package also implements several extensions of the CBPS beyond the cross-sectional, binary treatment setting.  The current version implements the CBPS for longitudinal settings so that it can be used in conjunction with marginal structural models (Imai and Ratkovic, 2013a), treatments with three- and four-valued treatment variables, continuous-valued treatments (Fong, Imai, and Ratkovic), and the situation with multiple distinct binary treatments administered simultaneously. In the future it will be extended to other settings including the generalization of experimental and instrumental variable estimates.
The package provide a set of functions that extend the
cancor function with new numerical and graphical outputs. It
also include a regularized extension of the cannonical
correlation analysis to deal with datasets with more variables
than observations.
Variational Bayesian algorithms for learning canonical correlation analysis (CCA), inter-battery factor analysis (IBFA), and group factor analysis (GFA). Inference with several random initializations can be run with the functions CCAexperiment() and GFAexperiment().
Canonical correlation analysis and maximum correlation via
projection pursuit, as well as fast implementations of correlation
estimators, with a focus on robust and nonparametric methods.
Class Cover Catch Digraphs, neighborhood graphs, and
relatives.
ccChooser can be used to developing and evaluation of core
collections for germplasm collections (entire collection). This
package used to develop a core collection for biological
resources like genbanks. A core collection is defined as a
sample of accessions that represent, with the lowest possible
level of redundancy, the genetic diversity (the richness of
gene or genotype categories) of the entire collection. The
establishing a core collection that represents genetic
diversity of the entire collection with minimum loss of its
original diversity and minimum redundancies is an important
problem for gene-banks curators and crop breeders. ccChooser
establish core collection base on phenotypic data (agronomic,
morphological, phenological).
Routines for solving convex optimization problems with cone constraints by means of interior-point methods. The implemented algorithms are partially ported from CVXOPT, a Python module for convex optimization (see <http://cvxopt.org> for more information).
Estimates the Concordance Correlation Coefficient to assess agreement. The scenarios considered are non-repeated measures, non-longitudinal repeated measures (replicates) and longitudinal repeated measures. The estimation approaches implemented are variance components and U-statistics approaches.
This package implements the combined cluster and discriminant analysis method for finding homogeneous groups of data with known origin as described in Kovacs et. al (2014): Classification into homogeneous groups using combined cluster and discriminant analysis (CCDA). Environmental Modelling & Software. DOI: http://dx.doi.org/10.1016/j.envsoft.2014.01.010
Functions for estimating and simulating the family of the
CC-GARCH models.
Contains a function, also called cchs, that calculates Estimator III of Borgan et al (2000), Exposure-stratified Case-cohort Designs. This estimator is for fitting a Cox proportional hazards model to data from a case-cohort study where the subcohort was selected by stratified simple random sampling.
Convex Clustering methods, including K-means algorithm,
On-line Update algorithm (Hard Competitive Learning) and Neural Gas
algorithm (Soft Competitive Learning), and calculation of several
indexes for finding the number of clusters in a data set.
Classification method that classifies a sample according
to the class with the maximum mean (or any other function of)
correlation between the test and training samples with known
classes.
Significance tests for canonical correlation analysis,
including asymptotic tests and a Monte Carlo method
Tests of association between SNPs or pairs of SNPs and binary phenotypes, in case-control / case-population / case-control-population studies.
A user-friendly GUI for the application of Cultural Consensus Theory (CCT) models and methods to consensus data. The models are applied using hierarchical Bayesian inference. The current package version supports binary, ordinal, and continuous data formats.
Solves the electromagnetic problem of coupled-dipoles (scattering
and absorption by a cluster of subwavelength particles in arbitrary 3D
configuration) by setting up the interaction matrix and solving the linear
system for multiple incident fields. Functions are provided for linear
polarisation as well as circular polarisation with full angular averaging
(optical activity). Retardation is included in the dipole-dipole
interaction.
A constant database is a data structure created by Daniel
J. Bernstein in his cdb package. Its format consists on a
sequence of (key,value)-pairs. This R package replicates the
basic utilities for reading (cdbget) and writing (cdbdump)
constant databases.
Gives conditional distance correlation and performs the conditional distance correlation sure independence screening procedure for ultrahigh dimensional data. The conditional distance correlation is a novel conditional dependence measurement of two random variables given a third variable. The conditional distance correlation sure independence screening is used for screening variables in ultrahigh dimensional setting.
This package proposes a statistical downscaling method for
cumulative distribution functions (CDF), as well as the
computation of the Cram\`er-von Mises statistics U, and the
Kolmogorov-Smirnov statistics KS.
Coordinate Descent Algorithms for Lasso Penalized L1, L2,
and Logistic Regression
Functions for cognitive diagnosis modeling
and multidimensional item response modeling for dichotomous
and polytomous data. This package enables the estimation of the
DINA and DINO model, the multiple group (polytomous) GDINA model,
the multiple choice DINA model, the general diagnostic model (GDM),
the multidimensional linear compensatory item response model and
the structured latent class model (SLCA).
Components of Canadian Credit Aggregates and Monetary Aggregates with continuity adjustments.
This is an implementation of constrained dual scaling for detecting response
styles in categorical data, including utility functions. The procedure involves adding
additional columns to the data matrix representing the boundaries between the rating categories.
The resulting matrix is then doubled and analyzed by dual scaling. One-dimensional solutions are
sought which provide optimal scores for the rating categories. These optimal scores are
constrained to follow monotone quadratic splines. Clusters are introduced within which the
response styles can vary. The type of response style present in a cluster can be diagnosed
from the optimal scores for said cluster, and this can be used to construct an
imputed version of the data set which adjusts for response styles.
Functions for statistical inference of canonical vine (C-vine)
and D-vine copulas. Tools for bivariate exploratory data analysis and for bivariate
as well as vine copula selection are provided. Models can be estimated
either sequentially or by joint maximum likelihood estimation.
Sampling algorithms and plotting methods are also included.
Data is assumed to lie in the unit hypercube (so-called copula
data).
Cross-Entropy Clustering (CEC) divides the data into Gaussian type clusters. It performs the automatic reduction of unnecessary clusters, while at the same time allows the simultaneous use of various type Gaussian mixture models.
This package is a wrapper for the C implementation of the 25 benchmark functions for the CEC 2005 Special Session on Real-Parameter Optimization. The original C code by Santosh Tiwari and related documentation are available at http://www.ntu.edu.sg/home/EPNSugan/index_files/CEC-05/CEC05.htm.
This package provides R wrappers for the C implementation of 28 benchmark functions defined for the  Special Session and Competition on Real-Parameter Single Objective Optimization at CEC-2013. The focus of this package is to provide an open-source and multi-platform implementation of the CEC2013 benchmark functions, in order to make easier for researchers to test the performance of new optimization algorithms in a reproducible way. The original C code (Windows only) was provided by Jane Jing Liang, while GNU/Linux comments were made by Janez Brest. This package was gently authorised for publication on CRAN by Ponnuthurai Nagaratnam Suganthan. The official documentation is available at http://www.ntu.edu.sg/home/EPNSugan/index_files/CEC2013/CEC2013.htm. Bugs reports/comments/questions are very welcomed (in English, Spanish or Italian).
Model building, surrogate model
based optimization and Efficient Global Optimization in combinatorial
or mixed search spaces.
Contains a number of common astronomy conversion routines, particularly the HMS and degrees schemes, which can be fiddly to convert between on mass due to the textural nature of the former. It allows users to coordinate match datasets quickly. It also contains functions for various cosmological calculations.
Helper functions to work with spreadsheets and the "A1:D10" style
of cell range specification.
This package is an object-oriented implementation of one-dimensional cellular automata. It supports many of the features offered by Mathematica, including elementary rules, user-defined rules, radii, user-defined seeding, and plotting.
This package implements a methodology for using cell
volume distributions to estimate cell growth rates and division
times that is described in the paper entitled "Cell Volume
Distributions Reveal Cell Growth Rates and Division Times", by
Michael Halter, John T. Elliott, Joseph B. Hubbard, Alessandro
Tona and Anne L. Plant, which is in press in the Journal of
Theoretical Biology.  In order to reproduce the analysis used
to obtain Table 1 in the paper, execute the command
"example(fitVolDist)".
Implementation of the Coarsened Exact Matching algorithm.
Estimation of censored regression (Tobit) models
with cross-section and panel data
Fits univariate censored linear regression model under Normal or Student-t distribution
Optimization solver based on the Cross-Entropy method.
Use pathway topology information to assign weight to
pathway nodes.
Functions and Data to support context epp.
This package provides the iterated RMCD method of Cerioli (2010)
for multivariate outlier detection via robust Mahalanobis distances. It also
provides the finite-sample RMCD method discussed in the paper, as well as
the methods provided in Hardin and Rocke (2005) and Green and Martin (2014).
An implementation of the covariance estimation method
proposed in Chi and Lange (2014), "Stable estimation of a covariance matrix guided by nuclear norm penalties,"
Computational Statistics and Data Analysis 80:117-128.
Analysis of configuration frequencies for simple and
repeated measures, more sample CFa, hierarchical CFA,
bootstrap-CFA, functional CFA, Kieser-Victor CFA and various
plots, and Lindner's test using a conventional and an
accelerated algorithm
Functions for combining survival curves of competing risks to produce cumulative incidence
and event-free probability functions, and for summarizing and plotting the results. Survival curves
can be either time-denominated or probability-denominated. Point estimates as well as Bayesian, sample-based
representations of survival can utilize this framework.
Estimate quantiles using formula (18) from
http://www.jaschke-net.de/papers/CoFi.pdf (Yaschke; 2001)
cg is comprehensive data analysis software, and stands for "compare groups." Its genesis and evolution are driven by common needs to compare administrations, conditions, etc. in medicine research &  development. The current version provides comparisons of unpaired samples, i.e. a linear model with one factor of at least two levels. It also provides comparisons of two paired samples. Good data graphs, modern statistical methods, and useful displays of results are emphasized.
In this package, a constrained generalized additive model is fitted by the cgam routine. Given a set of predictors with or without shape or order restrictions, the maximum likelihood estimator for the constrained generalized additive model is found using an iteratively re-weighted cone projection algorithm. The cone information criterion (CIC) may be used to select the best combination of variables and shapes. This package depends on the R package coneproj.
The cgAUC can calculate the AUC-type measure of Obuchowski(2006) when gold standard is continuous, and find the optimal linear combination of variables with respect to this measure.
Provides a basic set of R functions for querying the Cancer Genomics Data Server (CGDS), hosted by the Computational Biology Center at Memorial-Sloan-Kettering Cancer Center (MSKCC).
Efficient procedures for fitting an entire regression
sequences with different model types.
Functions to analyze microarray comparative genome
hybridization data using the Smith-Waterman algorithm
Spatial smoothing and hot spot detection using the fused
lasso regression
cghseg is an R package dedicated to the analysis of CGH
profiles using segmentation models.
Fit composite Gaussian process (CGP) models as described in Ba and Joseph (2012) "Composite Gaussian Process Models for Emulating Expensive Functions", Annals of Applied Statistics. The CGP model is capable of approximating complex surfaces that are not second-order stationary.  Important functions in this package are CGP, print.CGP, summary.CGP, predict.CGP and plotCGP.
A set of tools the author has found useful for performing quick observations or evaluations of data, including a variety of ways to list objects by size, class, etc. Several other tools mimic Unix shell commands, including 'head', 'tail' ,'pushd' ,and 'popd'. The functions 'seqle' and 'reverse.seqle' mimic the base 'rle' but can search for linear sequences. The function 'splatnd' allows the user to generate zero-argument commands without the need for 'makeActiveBinding' .
Various statistical methods and models which are
typically used for the estimation of outstanding claims reserves
in general insurance, including those to estimate the claims
development result as required under Solvency II.
Implements various mainstream and specialised changepoint methods for finding single and multiple changepoints within data.  Many popular non-parametric and frequentist methods are included.  The cpt.mean, cpt.var, cpt.meanvar functions should be your first point of call.
This package provides functions to compute Marcus, Marcus-Levich-Jortner or Landau-Zener charge transfer rates. These rates can then be used to perform kinetic Monte Carlo simulations to estimate charge carrier mobilities in molecular materials. The preparation of this package was supported by the the Fondazione Cariplo (PLENOS project, ref. 2011-0349).
CHAT is a collection of tools developed for tumor subclonality analysis using high density DNA SNP array data and sequencing data. The pipeline consists of four major compartments: 1) tumor aneuploid genome proportion (AGP) calculation and ploidy estimation. 2) segment-specific AGP calculation and absolute copy number estimation for somatic CNAs. 3) cancer cell fraction correction for somatic SNVs in clonal or subclonal sCNA regions. 4) number of subclones estimation using Dirichlet process prior followed by MCMC approach.
A compilation of historical through contemporary climate
measurements scraped from the Environment Canada Website
Including tools for scraping data, creating metadata and
formating temperature files.
The package contains methods for creating multivariate Chebyshev
approximation of functions on a hypercube. Some methods for non-Chebyshev grids are also provided.
A set of functions to calculate check digits according to
various algorithms and to verify whether a string ends in a
valid check digit
Tests and assertions to perform frequent argument checks. A
substantial part of the package was written in C to minimize any worries
about execution time overhead.
The goal of checkpoint is to solve the problem of package
reproducibility in R. Specifically, checkpoint allows you to install
packages as they existed on CRAN on a specific snapshot date as if you had
a CRAN time machine.  To achieve reproducibility, the checkpoint() function
installs the packages required or called by your project and scripts to a
local library exactly as they existed at the specified point in time. Only
those packages are available to your project, thereby avoiding any package
updates that came later and may have altered your results. In this way,
anyone using checkpoint's checkpoint() can ensure the reproducibility of
your scripts or projects at any time. To create the snapshot archives, once
a day (at midnight UTC) Revolution Analytics refreshes the Austria CRAN mirror, on the "Managed
R Archived Network" server (http://mran.revolutionanalytics.com/).
Immediately after completion of the rsync mirror process, the process takes a
snapshot, thus creating the archive. Snapshot archives exist starting from
2014-09-17.
Provides a flexible, extendable representation of an ecological community and a range of functions for analysis and visualisation, focusing on food web, body mass and numerical abundance data. Allows inter-web comparisons such as examining changes in community structure over environmental, temporal or spatial gradients.
chemCal provides simple functions for plotting linear
calibration functions and estimating standard errors for measurements
according to the Handbook of Chemometrics and Qualimetrics: Part A
by Massart et al. There are also functions estimating the limit
of detection (LOD) and limit of quantification (LOQ).
The functions work on model objects from - optionally weighted - linear
regression (lm) or robust linear regression (rlm from the MASS package).
This package is the R companion to the book "Introduction to Multivariate Statistical Analysis in Chemometrics" written by K. Varmuza and P. Filzmoser (2009)
The package provides functions and scripts used in the book "Chemometrics with R - Multivariate Data Analysis in the Natural Sciences and Life Sciences" by Ron Wehrens, Springer (2011).
The package provides data sets used in the book
"Chemometrics with R - Multivariate Data Analysis in the
Natural Sciences and Life Sciences" by Ron Wehrens, Springer
(2011).
This package introduces a software tool for the design of
synthetic experiments in machine olfaction. The generator of gas sensor
signals can be used in applications related to test and benchmarking of
signal processing methods, neuromorphic simulations in machine olfaction
and educational tools. A so-called virtual sensor array features unlimited
number of sensors, support of multicomponent gas mixtures and full
parametric control of the noise in the system. The artificial (virtual)
sensor array is inspired from a reference database of seventeen polymeric
sensors with concentration profiles for three analytes.
A collection of functions for top-down exploratory data analysis of spectral data obtained via nuclear magnetic resonance (NMR), infrared (IR) or Raman spectroscopy.  Includes functions for plotting and inspecting spectra, peak alignment, hierarchical cluster analysis (HCA), principal components analysis (PCA), model-based clustering and statistical total correlation spectroscopy (STOCSY) analysis.  Robust methods appropriate for this type of high-dimensional data are available.  ChemoSpec is designed with metabolomics data sets in mind, where the samples fall into groups such as treatment and control.  Graphical output is formatted consistently for publication quality plots.  ChemoSpec is intended to be very user friendly and help you get usable results quickly.  A vignette covering typical operations is available.
Provides an alternative approach to multiple testing
by calculating a simultaneous upper confidence bounds for the
number of true null hypotheses among any subset of the hypotheses of interest.
Some of the functions in this package are optionally enhanced by the 'gurobi'
software and its accompanying R package. For their installation, please follow the
instructions at www.gurobi.com and http://www.gurobi.com/documentation, respectively.
Calculation of standard deviation scores from different
growth standards
The phenology of plants (i.e. the timing of their annual life phases) depends on climatic cues. For temperate trees and many other plants, spring phases, such as leaf emergence and flowering, have been found to result from the effects of both cool (chilling) conditions and heat. Fruit tree scientists (pomologists) have developed some metrics to quantify chilling and heat. 'chillR' contains functions for processing temperature records into chilling (Chilling Hours, Utah Chill Units and Chill Portions) and heat units (Growing Degree Hours). Regarding chilling metrics, Chill Portions are often considered the most promising, but they are difficult to calculate. This package makes it easy. 'chillR' also contains procedures for conducting a PLS analysis relating phenological dates (e.g. bloom dates) to either mean temperatures or mean chill and heat accumulation rates, based on long-term weather and phenology records.
A collection of functions to pre-process amplification curve data from polymerase chain reaction (PCR) or isothermal amplification reactions. Contains functions to normalize and baseline amplification curves, to detect both the start and end of an amplification reaction, several smoothers (e.g., LOWESS, moving average, cubic splines, Savitzky-Golay), a function to detect false positive amplification reactions and a function to determine the amplification efficiency. Quantification point (Cq) methods include the first (FDM) and second approximate derivative maximum (SDM) methods (calculated by a 5-point-stencil) and the cycle threshold method. Data sets of experimental nucleic acid amplification systems (VideoScan HCU, capillary convective PCR (ccPCR)) and commercial systems are included. Amplification curves were generated by helicase dependent amplification (HDA), ccPCR or PCR. As detection system intercalating dyes (EvaGreen, SYBR Green) and hydrolysis probes (TaqMan) were used.
Hypothesis testing in change point logistic regression with or without interaction terms. Several options are provided for testing in models with interaction, including a maximum of likelihood ratios test that determines p-value through Monte Carlo. Estimation under change point model is also included, but less developed at this point.
Functions and data sets to support chemical thermodynamic modeling in biochemistry
and low-temperature geochemistry. The features include calculation of the standard molal
thermodynamic properties and chemical affinities of reactions involving minerals and/or
biomolecules; a database of thermodynamic properties of aqueous, crystalline and gaseous
species; amino acid group additivity for the standard molal thermodynamic properties of
neutral and ionized proteins; use of the revised Helgeson-Kirkham-Flowers equations of state
for aqueous species; construction of equilibrium activity diagrams as a function of
temperature, pressure, and chemical activities or fugacities of basis species.
This package consists of functions to design DCMs and other types of choice
studies (including MaxDiff and other tradeoffs)
Implements an MCMC algorithm to estimate a hierarchical
multinomial logit model with a normal heterogeneity
distribution. The algorithm uses a hybrid Gibbs Sampler with a
random walk metropolis step for the MNL coefficients for each
unit. Dependent variable may be discrete or continuous.
Independent variables may be discrete or continuous with
optional order constraints. Means of the distribution of
heterogeneity can optionally be modeled as a linear function of
unit characteristics variables.
Choplump Tests are Permutation Tests for Comparing Two Groups with Some Positive but Many Zero Responses
Resampling is a standard step in particle filtering and in sequential Monte Carlo. This package implements the chopthin resampler, which keeps a  bound on the ratio between the largest and the smallest weights after resampling.
Maximum likelihood estimation in respondent driven samples.
Choropleths are thematic maps where geographic regions, such as
states, are colored according to some metric, such as the number of people
who live in that state. This package simplifies this process by 1.
Providing ready-made functions for creating choropleths of common maps. 2.
Providing data and API connections to interesting data sources for making
choropleths. 3. Providing a framework for creating choropleths from
arbitrary shapefiles. Please see the vignettes for more details.
Contains an administrative-level-1 map of the world.
Administrative-level-1 is the generic term for the largest sub-national
subdivision of a country. This package was created for use with the
choroplethr package.
Contains 3 maps. 1) US States 2) US Counties 3) Countries of the
world.
A programmatic interface to the Chromosome Counts Database
(http://ccdb.tau.ac.il/). This package is part of the rOpenSci suite
(http://ropensci.org)
chromoR provides users with a statistical pipeline for analysing chromosomal interactions data (Hi-C data).It combines wavelet methods and a Bayesian approach for correction (bias and noise) and comparison (detecting significant changes between Hi-C maps) of Hi-C contact maps.In addition, it also support detection of change points in 1D Hi-C contact profiles.
Chronological objects which can handle dates and times.
Functions that cluster 1-3 dimensional data into their
local modes.  Based on a convergent form of Choi and Hall's
(1999) data sharpening method.  Note: sharp3dB is much faster
than sharp3d if data is ordered in at least one dimension.
Generative models for complex networks with conditionally independent dyadic structure. Now supports directed arcs!
Estimate of cumulative incidence function in two samples. Provide weighted summary statistics based on various methods and weights.
Many experiments in neuroscience involve randomized and fast stimulation while the continuous outcome measures respond at much slower time scale, for example event-related fMRI.  This package provide valid statistical tools with causal interpretation under these challenging settings, without imposing model assumptions.
This package provides functions to compute a method for identifying the instar of Curculionid larvae from the observed distribution of the headcapsule size of mature larvae.
Detecting and visualizing nonlinear interaction effects of single nucleotide polymorphisms or epistatic interactions, especially high-order epistatic interactions, are important topics in bioinformatics because of their significant mathematical and computational challenges. We present CINOEDV (Co-Information based N-Order Epistasis Detector and Visualizer) for detecting, visualizing, and analyzing high-order epistatic interactions by introducing virtual vertices into the construction of a hypergraph. CINOEDV was developed as an alternative to existing software to build a global picture of epistatic interactions and unexpected high-order epistatic interactions, which might provide useful clues for understanding the underlying genetic architecture of complex diseases.
This package contains functions for fitting circumplex
structural models for correlation matrices (with negative
correlation) by the method of maximum likelihood.
Circular layout is an efficient way for the visualization of huge
amounts of information. Here the circlize package provides an implementation
of circular layout generation in R as well as an enhancement of available
software. The flexibility of this package is based on the usage of low-level
graphics functions such that self-defined high-level graphics can be easily
implemented by users for specific purposes. Together with the seamless
connection between the powerful computational and visual environment in R,
circlize gives users more convenience and freedom to design figures for
better understanding complex patterns behind multi-dimensional data.
Functions for the analysis of circular data using
distributions based on Nonnegative Trigonometric Sums (NNTS).
Functions for calculation of densities and distributions, the
estimation of parameters, plotting and more
Detecting of outliers in circular-circular regression models, modifying its and estimating of models parameters.
Circular Statistics, from "Topics in circular Statistics"
(2001) S. Rao Jammalamadaka and A. SenGupta, World Scientific.
Circular Statistics, from "Topics in circular Statistics" (2001) S. Rao Jammalamadaka and A. SenGupta, World Scientific.
A formal statistical hypothesis test, resulting in a p-value, is provided to quantify uncertainty in a causal inference pertaining to a measured factor, e.g. a molecular species, which potentially mediates a known causal association between a locus and a quantitative trait. The test is applicable to data that includes genotype (discrete), possible causal mediator such as gene expression (continuous) and an outcome of interest (continuous).
Supports quantitative
research in scientometrics and bibliometrics. Provides
various tools for preprocessing bibliographic
data retrieved e.g. from Elsevier's SciVerse Scopus,
calculating bibliometric impact of individuals
or modeling many phenomena encountered in the social sciences.
This package implements the approach to assign tumor gene expression dataset to the 6 CIT Breast Cancer Molecular Subtypes described in Guedj et al 2012.
This package implements the approach to assign tumor gene expression dataset to the 6 CIT Colon Cancer Molecular Subtypes described in Marisa et al 2013.
Input: a csv-file for each database table and a
controlfile describing relations between tables. Output: An
extended ER diagram
An R implementation of the Average Marginal Component-specific Effects (AMCE) estimator presented in Hainmueller, J., Hopkins, D., and Yamamoto T. (2014) Causal Inference in Conjoint Analysis: Understanding Multi-Dimensional Choices via Stated Preference Experiments. Political Analysis 22(1):1-30.
A dynamic programming algorithm for optimal one-dimensional k-means clustering. The algorithm minimizes the sum of squares of within-cluster distances. As an alternative to the standard heuristic k-means algorithm, this algorithm guarantees optimality and repeatability.
Measures morphological diversity from discrete character data and estimates evolutionary tempo on phylogenetic trees.
This package implements in C++/Rcpp various cladogenesis-related calculations that are slow in pure R.  These include the calculation of the probability of various scenarios for the inheritance of geographic range at the divergence events on a phylogenetic tree, and other calculations necessary for models which are not continuous-time markov chains (CTMC), but where change instead occurs instantaneously at speciation events.  Typically these models must assess the probability of every possible combination of (ancestor state, left descendent state, right descendent state).  This means that there are up to (# of states)^3 combinations to investigate, and in biogeographical models, there can easily be hundreds of states, so calculation time becomes an issue.  C++ implementation plus clever tricks (many combinations can be eliminated a priori) can greatly speed the computation time over naive R implementations.  CITATION INFO: This package is the result of my Ph.D. research, please cite the package if you use it!  Type: citation(package="cladoRcpp") to get the citation information.
Implementation of the Wilkinson and Ivany (2002) approach to paleoclimate analysis, applied to isotope data extracted from clams.
Various functions for classification, including k-nearest
neighbour, Learning Vector Quantization and Self-Organizing Maps.
Construct directed graphs of S4 class hierarchies and
visualize them.  In general, these graphs typically are DAGs
(directed acyclic graphs), often simple trees in practice.
Given $p$-dimensional training data containing
$d$ groups (the design space), a classification
algorithm (classifier) predicts which group new data
belongs to.  Generally the input to these algorithms is
high dimensional, and the boundaries between groups
will be high dimensional and perhaps curvilinear or
multi-faceted. This package implements methods for
understanding the division of space between the groups.
IRT classification uses the probability that candidates of
a given ability, will answer correctly questions of a specified
difficulty to calculate the probability of their achieving
every possible score in a test. Due to the IRT assumption of
conditional independence (that is every answer given is assumed
to depend only on the latent trait being measured) the
probability of candidates achieving these potential scores can
be expressed by multiplication of probabilities for item
responses for a given ability. Once the true score and the
probabilities of achieving all other scores have been
determined for a candidate the probability of their score lying
in the same category as that of their true score
(classification accuracy), or the probability of consistent
classification in a category over administrations
(classification consistency), can be calculated.
Selected commonly used methods for choosing univariate class intervals for mapping or other graphics purposes.
A collection of functions for the creation and application of highly optimised, robustly evaluated ensembles of support vector machines (SVMs). The package takes care of training individual SVM classifiers using a fast parallel heuristic algorithm, and combines individual classifiers into ensembles. Robust metrics of classification performance are offered by bootstrap resampling and permutation testing.
The R package clere implements an empirical Bayes approach for simultaneous variable clustering and regression.
This package implements the conditioned Latin hypercube sampling, as published by Minasny and McBratney (2006). This method proposes to stratify sampling in presence of ancillary data. An extension of this method, which propose to associate a cost to each individual and take it into account during the optimisation process, is also proposed (Roudier et al., 2012).
Clustering categorical sequences by means of finite mixtures with Markov model components is the main utility of ClickClust. The package also allows detecting blocks of equivalent states by forward and backward state selection procedures.
A set of tools to read, analyze and write lists of click sequences on websites (i.e., clickstream). A click can be represented by a number, character or string. Clickstreams can be modeled as zero- (only computes occurrence probabilities), first- or higher-order Markov chains.
CliFlo is a web portal to the New Zealand National Climate
Database and provides public access (via subscription) to around 6,500
various climate stations. Collating and manipulating data from CliFlo
(hence clifro) and importing into R for further analysis, exploration and
visualisation is now straightforward and coherent. The user is required to
have an internet connection, and a current CliFlo subscription (free) if
data from stations, other than the public Reefton electronic weather
station, is sought.
Classification of climate according to Koeppen - Geiger, of
aridity indices, of continentality indices, and of water balance after
Thornthwaite. Drawing climographs: Thornthwaite, Peguy, Bagnouls-Gaussen.
PCIC's implementation of Climdex routines for computation of
extreme climate indices.
A robust constrained L1 minimization method for estimating
a large sparse inverse covariance matrix (aka precision
matrix), and recovering its support for building graphical
models.  The computation uses linear programming.
Contains functions to detect and visualise periods of climate sensitivity (climate windows) for a given biological response.
Utilities to make your clinical collaborations easier if not fun.
Functions for calculating clinical significance.
This package provides the estimation of an index measuring
the clinical utility of DNA testing in the context of
gene-environment interactions on a disease. The corresponding
gene-environment interaction effect on the additive scale can
also be obtained. The estimation is based on case-control or
cohort data. The method was developed by Nguyen et al. 2013.
A small subset of Unicode symbols, that are useful
when building command line applications. They fall back to
alternatives on terminals that do not support Unicode.
Many symbols were taken from the 'figures' 'npm' package
(see <https://github.com/sindresorhus/figures>).
Estimation and inference for linear models where some or all of the fixed-effects coefficients are subject to order restrictions. This package uses the robust residual bootstrap methodology for inference, and can handle some structure in the residual variance matrix.
Tools for the fitting and cross validation of exact conditional logistic regression models with lasso and elastic net penalties. Uses cyclic coordinate descent and warm starts to compute the entire path efficiently.
Provides means of plots for comparing utilization data of compute systems.
R Interface to C API of COIN-OR Clp, depends on COIN-OR Clp Version >= 1.12.0
This package provides and implementation of a one step
smoothing newton method for the solution of second order cone
programming problems, originally described by Xiaoni Chi and
Sanyang Liu.
CLUE is an R package for identifying optimal number of clusters in a given time-course dataset clustered by cmeans or kmeans algorithms.
We developed the clues R package to provide functions
for automatically estimating the number of clusters and
getting the final cluster partition without any input
parameter except the stopping rule for convergence.
The package also provides functions to
evaluate and compare the performances of partitions of a data
set both numerically and graphically.
Methods for Cluster analysis.  Much extended the original from
Peter Rousseeuw, Anja Struyf and Mia Hubert,
based on Kaufman and Rousseeuw (1990) "Finding Groups in Data".
A collection of data sets for teaching cluster analysis.
Visualise clustering algorithms with GGobi.  Contains both
general code for visualising clustering results and specific
visualisations for model-based, hierarchical and SOM clustering.
This package develops a genetic algorithm to build
hierarchical clusterings from a dataset. It additionally
provides a set of functions applied to cluster analysis.
We developed the clusterGeneration package to provide functions
for generating random clusters, generating random
covariance/correlation matrices,
calculating a separation index (data and population version)
for pairs of clusters or cluster distributions, and 1-D and 2-D
projection plots to visualize clusters.  The package also
contains a function to generate random clusters based on
factorial designs with factors such as degree of separation,
number of clusters, number of variables, number of noisy
variables.
The Partitioning Algorithm based on Recursive Thresholding
(PART) is used to recursively uncover clusters and subclusters
in the data. Functionality is also available for visualization
of the clustering.
A dynamic programming algorithm for optimal clustering multidimensional data with sequential constraint. The algorithm minimizes the sum of squares of within-cluster distances. The sequential constraint allows only subsequent items of the input data to form a cluster. The sequential constraint is typically required in clustering data streams or items with time stamps such as video frames, GPS signals of a vehicle, movement data of a person, e-pen data, etc. The algorithm represents an extension of Ckmeans.1d.dp to multiple dimensional spaces. Similarly to the one-dimensional case, the algorithm guarantees optimality and repeatability of clustering. Method clustering.sc.dp can find the optimal clustering if the number of clusters is known. Otherwise, methods findwithinss.sc.dp and backtracking.sc.dp can be used.
This package enables researchers to calculate power for cluster-randomized crossover trials by employing a simulation-based approach.  A particular study design is specified, with fixed sample sizes for all clusters and an assumed treatment effect, and the empirical power for that study design is calculated by simulating hypothetical datasets.
A function for validating microarry clusters via
reproducibility
Calculate p-values and confidence intervals using cluster-adjusted t-statistics (based on Ibragimov and Muller 2010, Journal of Business and Economic Statistics 28(4)), pairs cluster bootstrapped t-statistics, and wild cluster bootstrapped t-statistics (the latter two techniques based on Cameron, Gelbach, and Miller 2008, Review of Economics and Statistics 90(3)). Procedures are included for use with GLM, ivreg, plm (fixed effects), and mlogit models.
Distance measures (GDM1, GDM2,	Sokal-Michener, Bray-Curtis, for symbolic interval-valued data), cluster quality indices (Calinski-Harabasz, Baker-Hubert, Hubert-Levine, Silhouette, Krzanowski-Lai, Hartigan, Gap,	Davies-Bouldin),	data normalization formulas, data generation (typical and non-typical data), HINoV method,	replication analysis, linear ordering methods, spectral clustering, agreement indices between two partitions, plot functions (for categorial and symbolic interval-valued data).
Calculate some statistics aiming to help analyzing the clustering tendency of given data. In the first version, Hopkins' statistic is implemented.
An R package that provides a suite of tools to evaluate
clustering algorithms, clusterings, and individual clusters.
Functions which allow to integrate geographical constraints in Ward hierarchical clustering. Geographical maps of typologies obtained can be displayed with the use of shapefiles.
Model-based clustering of mixed data (i.e. data which consist of continuous, binary, ordinal or nominal variables) using a parsimonious mixture of latent Gaussian variable models.
An implementation of a variable selection procedure in clustering by mixture of multinomial models for discrete data. Genotype data are examples of such data with two unordered observations (alleles) at each locus for diploid individual. The two-fold problem of variable selection and clustering is seen as a model selection problem where competing models are characterized by the number of clusters K, and the subset S of clustering variables. Competing models are compared by penalized maximum likelihood criteria. We considered asymptotic criteria such as Akaike and Bayesian Information criteria, and a family of penalized criteria with penalty function to be data driven calibrated.
Cluster analysis of a set of variables. Variables can be
quantitative, qualitative or a mixture of both.
A collection of methods for joint dimension reduction and
clustering
A complimentary package for use with hclust; simprof tests
to see which (if any) clusters are statistically different. The
null hypothesis is that there is no a priori group structure.
See Clarke, K.R., Somerfield, P.J., and Gorley R.N. 2008.
Testing of null hypothesis in exploratory community analyses:
similarity profiles and biota-environment linkage. J. Exp. Mar.
Biol. Ecol. 366, 56-69.
Functions for the clustering of variables around Latent Variables. Each cluster of variables, which may be defined as a local or directional cluster, is associated with a latent variable.
External variables measured on the same observations or/and additional information on the variables can be taken into account.
A function which implements variable selection methodology for model-based clustering which allows to find the (locally) optimal subset of variables  in a data set that have group/cluster information. A greedy or headlong search can be used, either in a forward-backward or backward-forward direction, with or without sub-sampling at the hierarchical clustering stage for starting MCLUST models. By default the algorithm uses a sequential search, but parallelization is also available.
Package contains most of the popular internal and external
cluster validation methods ready to use for the most of the
outputs produced by functions coming from package "cluster".
Package contains also functions and examples of usage for
cluster stability approach that might be applied to algorithms
implemented in "cluster" package as well as user defined
clustering algorithms.
Statistical and biological validation of clustering results.
Single objective optimization using a CMA-ES.
Calculation and plot of the stepwise Cronbach-Mesbah Curve
Collective matrix factorization (CMF) finds joint low-rank representations for a collection of matrices with shared row or column entities. This code learns variational Bayesian approximation for CMF, supporting multiple likelihood potentials and missing data, while identifying both factors shared by multiple matrices and factors private for each matrix.
Quite extensive package for the estimation of marginal models for categorical data.
The main purpose of this package is to juxtapose the different control limits obtained by modelling a data set through the COM-Poisson distribution vs. the classical Poisson distribution. Accordingly, this package offers the ability to compute the COM-Poisson parameter estimates and plot associated Shewhart control charts for a given data set.
Manhattan plot, a type of scatter plot, was widely used to display the association results. However, it is usually time-consuming and laborious for a
non-specialist user to write scripts and adjust parameters of an elaborate plot. Moreover, the ever-growing traits measured have necessitated the
integration of results from different Genome-wide association study researches. Circle Manhattan Plot is the first open R package that can lay out
Genome-wide association study P-value results in both traditional rectangular patterns and novel circular ones. United in only one bull's eye style
plot, association results from multiple traits can be compared interactively, thereby to reveal both similarities and differences between signals.
Estimation, testing and regression modeling of
subdistribution functions in competing risks, as described in Gray
(1988), A class of K-sample tests for comparing the cumulative
incidence of a competing risk, Ann. Stat. 16:1141-1154, and Fine JP and
Gray RJ (1999), A proportional hazards model for the subdistribution
of a competing risk, JASA, 94:496-509.
A collection of useful helper routines developed by
students of the Center for the Mathematical Research, Stankin,
Moscow.
The Satellite Application Facility on Climate Monitoring (CM SAF)
is a ground segment of the European Organization for the Exploitation of
Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application
Facilities. The CM SAF contributes to the sustainable observing of the climate
system by providing Essential Climate Variables related to the energy and water
cycle of the atmosphere (www.cmsaf.eu). It is a joint cooperation of seven
National Meteorological and Hydrological Services, including the Deutscher
Wetterdienst (DWD).
The cmsaf R-package provides a small collection of R-functions, which are
inspired by the Climate Data Operators (cdo). This gives the opportunity to
analyse and manipulate CM SAF data without the need of installing cdo.
The cmsaf R-package is tested for CM SAF netcdf data, which are structured
in three-dimensional arrays (longitude, latitude, time) on a rectangular grid.
Layered CM SAF data have to be converted with the provided `levbox_mergetime`
function. The cmsaf R-package functions have only minor checks for deviations
from the recommended data structure, and give only few specific error messages.
Thus, there is no warranty of accurate results.
A Windows binary file and scripts for an easy application of the functions are
provided at the CM SAF homepage (http://www.cmsaf.eu/EN/Products/Tools/Tools_node.html).
Various utilities for the complex multivariate Gaussian distribution.
Provides functions for performing Coincidence Analysis (CNA).
A GUI with which users can construct and interact
with Canonical Correspondence Analysis and Canonical Non-Symmetrical Correspondence Analysis and provides inferential results by using Bootstrap Methods.
Methods for assigning copy number states and breakpoints in resequencing experiments of prokaryotic organisms.
This package evaluates DNA copy number data, using both their initial form (copy number as a noisy function of genomic position) and their approximation by a piecewise-constant function (segmentation), for the purpose of identifying genomic regions where the copy number differs from the norm.
The CNVassoc package carries out analysis of common
Copy Number Variants (CNVs) and imputed Single Nucleotide
Polymorphisms (SNPs) in population-based studies.
It includes tools for estimating association under a series
of study designs (case-control, cohort, etc), using several
dependent variables (class status, censored data, counts)
as response, adjusting for covariates and considering
various inheritance models. Moreover, it is possible to
perform epistasis studies with pairs of CNVs or imputed SNPs.
It has been optimized in order to make feasible the analyses
of Genome Wide Association studies (GWAs) with hundreds of
thousands of genetic variants (CNVs / imputed SNPs). Also,
it incorporates functions for inferring copy number (CNV
genotype calling). Various classes and methods for generic
functions (print, summary, plot, anova, ...) have been
created to facilitate the analysis.
This package contains example data sets with Copy Number Variants and imputed SNPs to be used by CNVassoc package.
Coalescent simulators can rapidly simulate biological sequences
evolving according to a given model of evolution.
This package allows to specify such models, transparently calls a suitable
simulator, parses the results and calculates additional summary statistics.
It supports the simulators 'ms', 'msms' and 'scrm' and can simulate
finite-sites mutation models by combining the simulators with the program
'seq-gen'.
Flexible framework for coalescent analyses in R. It includes a main function running the  MCMC algorithm, auxiliary functions for tree rearrangement, and some functions to compute population genetic parameters.
This package contains functions to analyze coarse data.
Specifically, it contains functions to (1) fit parametric accelerated
failure time models to interval-censored survival time data, and (2)
estimate the case-fatality ratio in scenarios with under-reporting.
This package's development was motivated by applications to infectious
disease: in particular, problems with estimating the incubation period and
the case fatality ratio of a given disease.  Sample data files are included
in the package.
This package performs prediction for regression-oriented problems, aggregating in a nonlinear scheme any basic regression machines suggested by the context and provided by the user. If the user has no valuable knowledge on the data, four defaults machines wrappers are implemented so as to cover a minimal spectrum of prediction methods. If necessary, the computations may be parallelized. The method is described in Biau, Fischer, Guedj and Malley (2013), "COBRA: A Nonlinear Aggregation Strategy".
Qualitatively Constrained (Regression) Smoothing Splines via
Linear Programming and Sparse Matrices.
Statistical tests for the comparison between two correlations
based on either independent or dependent groups. Dependent correlations can
either be overlapping or nonoverlapping. A web interface is available at
http://comparingcorrelations.org. A plugin for 'RKWard' is included.
'RKWard' can be obtained freely from https://rkward.kde.org.
Fits predictive and symmetric co-correspondence analysis (CoCA) models to relate one data matrix
to another data matrix. More specifically, CoCA maximises the weighted covariance
between the weighted averaged species scores of one community and the weighted averaged species
scores of another community. CoCA attempts to find patterns that are common to both communities.
This package provides functions to statistically compare two or
more alpha coefficients based on either dependent or independent groups of
individuals.
Provides functions for summarizing and plotting the
output from Markov Chain Monte Carlo (MCMC) simulations, as
well as diagnostic tests of convergence to the equilibrium
distribution of the Markov chain.
Markov chain Monte Carlo burn-in based on "bridge" statistics, in the way of coda::heidel.diag, but including non asymptotic tabulated statistics.
Generates all necessary C functions allowing the user to work with the compiled-code interface of ode() and bvptwp(). The implementation supports "forcings" and "events". Also provides functions to symbolically compute Jacobians, sensitivity equations and adjoint sensitivities being the basis for sensitivity analysis.
Computation of Multiscale Codependence Analysis and spatial eigenvector maps, as an additional feature.
Cronbach's alpha and McDonald's omega are widely used reliability or internal consistency measures in social, behavioral and education sciences. Alpha is reported in nearly every study that involves measuring a construct through multiple test items. The package 'coefficientalpha' calculates coefficient alpha and coefficient omega with missing data and non-normal data. Robust standard errors and confidence intervals are also provided. A test is also available to test the tau-equivalent and homogeneous assumptions. Version 0.5 added the bootstrap confidence intervals.
Plots the coefficients from a model object
Simulate species occurrence and abundances (counts) along
gradients.
species coexistence modeling under asymmetric dispersal
and fluctuating source-sink dynamics;testing the proportion of
coexistence scenarios driven by neutral and niche processes
Copula based imputation method. A semiparametric imputation procedure for missing multivariate data based on conditional copula specifications.
Conditional inference procedures for the general independence
problem including two-sample, K-sample (non-parametric ANOVA), correlation,
censored, ordered and multivariate problems.
Methods for obtaining simultaneous confidence interval for
multinomial proportion have been proposed by many authors and
the present study include a variety of widely applicable
procedures. Seven classical methods (Wilson, Quesenberry and
Hurst, Goodman, Wald with and without continuity correction,
Fitzpatrick and Scott, Sison and Glaz) and Bayesian Dirichlet
models are included in the package. The advantage of MCMC pack
has been exploited to derive the Dirichlet posterior directly
and this also helps in handling the Dirichlet prior parameters.
This package is prepared to have equal and unequal values for
the Dirichlet prior distribution that will provide better scope
for data analysis and associated sensitivity analysis.
Performs regression analysis for longitudinal count
data using a self-decomposable probability distribution,
a random intercept term is also allowed. Estimation is via maximization
of the exact likelihood of a suitably defined model. Missing values and
unbalanced data are allowed.
These functions implement collocation-inference
for continuous-time and discrete-time stochastic processes.
They provide model-based smoothing, gradient-matching,
generalized profiling and forwards prediction error methods.
Performs the colocalisation tests described in Plagnol et al
(2009), Wallace et al (2013) and Giambartolomei et al (2013).
It implements colored Independent Component Analysis (Lee et al., 2011) and spatial colored Independent Component Analysis (Shen et al., 2014). They are two algorithms to perform ICA when sources are assumed to be temporal or spatial stochastic processes, respectively.
Given 2-,3- or 4-dimensional data, plots a Venn diagram, i.e. 'crossing circles'. The user can specify values, labels for each circle-group and unique colors for each plotted part. Here is what it would look like for a 3-dimensional plot: http://elliotnoma.files.wordpress.com/2011/02/venndiagram.png. To see what the 4-dimensional plot looks like, go to http://elliotnoma.files.wordpress.com/2013/03/4dplot.png.
Different methods to generate a color palette based on a specified base color and a number of colors that should be created.
Methods and data for color science - color conversions by observer,
illuminant and gamma. Color matching functions and chromaticity diagrams.
Color indices, color differences and spectral data conversion/analysis.
Carries out mapping between assorted color spaces including
RGB, HSV, HLS, CIEXYZ, CIELUV, HCL (polar CIELUV),
CIELAB and polar CIELAB. Qualitative, sequential, and
diverging color palettes based on HCL colors are provided.
R package with handy functions to help users select and play with
color schemes in an HSV color model
Provides access to the COLOURlovers API, which provides color inspiration and color palettes.
Provides methods for the import/export and automated analysis of concept maps.
A comprehensive synergy/antagonism  analyses of drug combinations with
quality graphics and data. The analyses can be performed by Bliss independence and Loewe
additivity models. COMBIA provides improved statistical analysis and makes only very weak assumption of data variability
while calculating bootstrap intervals (BIs). Finally, package saves analyzed data,
2D and 3D plots ready to  use in research publications. COMBIA does not require manual
data entry. Data can be directly input from wetlab experimental platforms
for example fluostar, automated robots etc. One needs to call a single function only
to perform all analysis (examples are provided with sample data).
We offer two statistical tests to combine p-values: selfcontained.test vs competitive.test. The goal is to test whether a vector of pvalues are jointly significant when we combine them together.
The Combinatory Method (s) to Construct a series of PBIB designs and we give their associated U-type design.
Functions for computing optimal convex combinations of
model selection criteria based on ranks, along with utility
functions for constructing model lists, MSCs, and priors on
model lists.
Computes community climate statistics for volume and mismatch using species' climate niches either unscaled or scaled relative to a regional species pool. These statistics can be used to describe biogeographic patterns and infer community assembly processes. Includes a vignette outlining usage.
An algorithm for identifying combinations of mutually exclusive alterations in cancer genomes. CoMEt represents the mutations in a set M of k genes with a 2^k dimensional contingency table, and then computes the tail probability of observing T(M) exclusive alterations using an exact statistical test.
An S4 representation of the Command design pattern. The
Operation class is a simple implementation using closures and supports
forward and reverse (undo) evaluation. The more complicated Protocol
framework represents each type of command (or analytical protocol) by
a formal S4 class. Commands may be grouped and consecutively executed
using the Pipeline class. Example use cases include logging, do/undo,
analysis pipelines, GUI actions, parallel processing, etc.
Functions to
produce nicely formatted comments to use in R-scripts (or
Latex/HTML/markdown etc). A comment with formatting is printed to the
console and can then be copied to a script.
Useful libraries for building a Java based GUI under R
The 'CommonMark' spec is a rationalized version of Markdown syntax.
This package converts markdown text to various formats including a parse
tree in XML format.
Directly extract and plot stochastic common trends from
a cointegration system using different approaches, currently
including Kasa (1992) and Gonzalo and Granger (1995).
The approach proposed by Gonzalo and Granger, also known as
Permanent-Transitory Decomposition, is widely used in
macroeconomics and market microstructure literature.
Kasa's approach, on the other hand, has a nice property that it only
uses the super consistent estimator: the cointegration vector
'beta'.
This package also provides functions calculate P-value
from Johansen Statistics according to the approximation method
proposed by Doornik (1998).
Update:
0.7-1: Fix bugs in calculation alpha. Add formulas and more explanations.
0.6-1: Rewrite the description file.
0.5-1: Add functions to calculate P-value from Johansen statistic, and vice versa.
Provides functions to measure the difference between constrained and unconstrained gene tree distributions using various tree distance metrics. Constraints are enforced prior to this analysis via the estimation of a tree under the community tree model.
Facilitates optimal clustering of a data set. Provides a framework to run a wide range of clustering algorithms to determine the optimal number (k) of clusters in the data. Then analyzes the cluster assignments from each clustering algorithm to identify samples that repeatedly classify to the same group. We call these 'core clusters', providing a basis for later class discovery.
The CommunityCorrelogram package is designed for the geostatistical analysis of ecological community datasets with either a spatial or temporal distance component.
Comparison of two ROC curves throughout the methodology propose by Ana C. Braga.
Creates empty plots with compact axis notation to which users can
add whatever they like (points, lines, text, etc.) The notation is more
compact in the sense that the axis-labels and tick-labels are closer to the
axis and the tick-marks are shorter. Also, if the plot appears as part of a
matrix, the x-axis notation is suppressed unless the plot appears along the
bottom row and the y-axis notation is suppress unless the plot appears
along the left column.
Functions to compare a model object to a comparison object.
If the objects are not identical, the functions can be instructed to
explore various modifications of the objects (e.g., sorting rows,
dropping names) to see if the modified versions are identical.
Proposed by Harrell, the C index or concordance C, is considered an overall measure of discrimination in survival analysis between a survival outcome that is possibly right censored and a predictive-score variable, which can represent a measured biomarker or a composite-score output from an algorithm that combines multiple biomarkers. This package aims to statistically compare two C indices with right-censored survival outcome, which commonly arise from a paired design and thus resulting two correlated C indices.
Unified interface for the estimation of causal networks,
including the methods 'backShift' (from package 'backShift'),
'bivariateANM' (bivariate additive noise model),
'bivariateCAM' (bivariate causal additive model),
'CAM' (causal additive model) (from package 'CAM'),
'hiddenICP' (invariant causal prediction with hidden variables),
'ICP' (invariant causal prediction) (from package 'InvariantCausalPrediction'),
'GES' (greedy equivalence search),
'GIES' (greedy interventional equivalence search),
'LINGAM', 'PC' (PC Algorithm),
'RFCI' (really fast causal inference)
(all from package 'pcalg') and regression.
Read, interpret, summarise, display and
analyse epidemiological data. Can be used to create data summaries for
quality control, extensive reports for exploring data, including
publication-ready univariate or bivariate tables in plain text HTML and
LaTeX, and a figures to quickly visualise the distribution of your data.
Depending on the nature of the variable, various statistics are
calculated (mean, median, frequencies, incidences) and appropriate
tests are performed (t-test, Analysis of variance, Kruskal-Wallis, Fisher,
log-rank, ...). The latest version includes functionality for summarising
genetic data, and for performing low-level quality control of your database
(see radiograph()) to help identify data-entry errors. This version has
also been implemented in a web-interface to make this package accessible
to non-R-users.