Phase I clinical trials are the first step in drug development to test
    a new drug or drug combination on humans. Typical designs of Phase I 
    trials use toxicity as the primary endpoint and aim to find the maximum 
    tolerable dosage. However, these designs are poorly applicable for the 
    development of cancer therapeutic vaccines because the expected safety 
    concerns for these vaccines are not as much as cytotoxic agents. The 
    primary objectives of a cancer therapeutic vaccine phase I trial thus 
    often include determining whether the vaccine shows biologic activity 
    and the minimum dose necessary to achieve a full immune or even clinical 
    response. This package implements a Bayesian Phase I cancer vaccine
    trial design that allows simultaneous evaluation of safety and
    immunogenicity outcomes. See Wang et al. (2019) <DOI:10.1002/sim.8021>
    for further details.
Performs modeling and forecasting of park visitor counts
	using social media data and (partial) on-site visitor counts.
	Specifically, the model is built based on an automatic decomposition
	of the trend and seasonal components of the social media-based park visitor counts,
	from which short-term forecasts of the visitor counts and percent changes
	in the visitor counts can be made. A reference for the underlying model that 'VisitorCounts' uses can be found at 
    Russell Goebel, Austin Schmaltz, Beth Ann Brackett, Spencer A. Wood, Kimihiro Noguchi (2023) <doi:10.1002/for.2965> .
Provides a suite of analytical functionalities to process and analyze
    visual meteor observations from the Visual Meteor Database
    of the International Meteor Organization <https://www.imo.net/>.
Provides an R interface to the 'vis.js' JavaScript charting
    library. It allows an interactive visualization of networks.
Provides methods to transform omop_result objects into
    formatted tables and figures, facilitating the visualization of study
    results working with the Observational Medical Outcomes Partnership
    (OMOP) Common Data Model.
Provides a convenient interface for constructing plots to visualize the fit of regression models arising from a wide variety of models in R ('lm', 'glm', 'coxph', 'rlm', 'gam', 'locfit', 'lmer', 'randomForest', etc.)
Visualization of the most powerful statistical hypothesis test.
    The function vistat() visualizes the statistical hypothesis testing between the 
    dependent variable (response) varsample and the independent variable (feature) varfactor. 
    The statistical hypothesis test (including the eventual corresponding post-hoc analysis) with
    the highest statistical power fulfilling the assumptions of the corresponding test is chosen based on a decision tree.
    A graph displaying the raw data accordingly to the chosen test is generated, the test statistics including eventual 
    post-hoc-analysis are returned. The automated workflow is especially suited for browser based interfaces to 
    server-based deployments of R. Implemented tests: lm(), t.test(), wilcox.test(), aov(), kruskal.test(), fisher.test(), chisqu.test().
    Implemented tests to check the normal distribution of standardized residuals: shapiro.test() and ad.test().
    Implemented post-hoc tests: TukeyHSD() for aov() and pairwise.wilcox.test() for kruskal.test().
    For the comparison of averages, the following algorithm is implemented: 
    If the p-values of the standardized residuals of both shapiro.test() or ad.test() are smaller 
    than 1-conf.level, kruskal.test() resp. wilcox.test() are performed, otherwise the oneway.test()
    and aov() resp. t.test() are performed and displayed. Exception: 
    If the sample size is bigger than 100, t.test() is always performed and wilcox.test() is never executed 
    (Lumley et al. (2002) <doi:10.1146/annurev.publhealth.23.100901.140546>).
    For the test of independence of count data, Cochran's rule (Cochran (1954) <doi:10.2307/3001666>) is implemented: 
    If more than 20 percent of all cells have a count smaller than 5, fisher.test() is performed and displayed,
    otherwise chisqu.test(). In both cases case an additional mosaic plot is generated.
A library for creating time based charts, like Gantt or timelines. Possible outputs 
  include 'ggplot2' diagrams, 'plotly.js' graphs, 'Highcharts.js' widgets and data.frames. Results can be
  used in the 'RStudio' viewer pane, in 'RMarkdown' documents or in Shiny apps. In the 
  interactive outputs created by vistime() and hc_vistime(), you can interact with the 
  plot using mouse hover or zoom.
Traces information spread through interactions between features, utilising information theory measures and a higher-order generalisation of the concept of widest paths in graphs.
  In particular, 'vistla' can be used to better understand the results of high-throughput biomedical experiments, by organising the effects of the investigated intervention in a tree-like hierarchy from direct to indirect ones, following the plausible information relay circuits.
  Due to its higher-order nature, 'vistla' can handle multi-modality and assign multiple roles to a single feature.
Provides a visualization for characterizing subgroups defined by a decision tree structure. The visualization simplifies the ability to interpret individual pathways to subgroups; each sub-plot describes the distribution of observations within individual terminal nodes and percentile ranges for the associated inner nodes.
Visualize and compute percentiles/probabilities of normal, t, f, chi square 
    and binomial distributions.
Estimates and plots as a heat map the correlation coefficients obtained via the wavelet local multiple correlation 'WLMC' (Fernández-Macho 2018) and the 'dominant' variable/s, i.e., the variable/s that maximizes the multiple correlation through time and scale (Polanco-Martínez et al. 2020, Polanco-Martínez 2022). We improve the graphical outputs of WLMC proposing a didactic and useful way to visualize the 'dominant' variable(s) for a set of time series. The WLMC was designed for financial time series, but other kinds of data (e.g., climatic, ecological, etc.) can be used. The functions contained in 'VisualDom' are highly flexible since these contains several parameters to personalize the time series under analysis and the heat maps. In addition, we have also included two data sets (named 'rdata_climate' and 'rdata_Lorenz') to exemplify the use of the functions contained in 'VisualDom'. Methods derived from Fernández-Macho (2018) <doi:10.1016/j.physa.2017.11.050>, Polanco-Martínez et al. (2020) <doi:10.1038/s41598-020-77767-8> and Polanco-Martínez (2023, in press).
A collection of tools for analyzing the field of vision. It
    provides a framework for development and use of innovative methods for
    visualization, statistical analysis, and clinical interpretation of
    visual-field loss and its change over time. It is intended to be a tool for
    collaborative research. The package is described in Marin-Franch and Swanson
    (2013) <doi:10.1167/13.4.10> and is part of the Open Perimetry Initiative
    (OPI) [Turpin, Artes, and McKendrick (2012) <doi:10.1167/12.11.22>].
Graphs the pdf or pmf and highlights what area or probability is
    present in user defined locations. Visualize is able to provide lower tail,
    bounded, upper tail, and two tail calculations. Supports strict and equal
    to inequalities.  Also provided on the graph is the mean and variance of
    the distribution.
Visualize the trends and historical downloads from packages in the 'CRAN' repository. Data is obtained by using the 'API' to query the database from the 'RStudio' 'CRAN' mirror.
To visualize the probabilities of early
       termination, fail and success of Simon's two-stage
       design.  To evaluate and visualize the operating
       characteristics of Simon's two-stage design.
Visual contour and 2D point and contour plots for binary classification modeling under algorithms such as 'glm', 'rf', 'gbm', 'nnet' and 'svm', presented over two dimensions generated by 'famd' and 'mca' methods. Package 'FactoMineR' for multivariate reduction functions and package 'MBA' for interpolation functions are used. The package can be used to visualize the discriminant power of input variables and algorithmic modeling, explore outliers, compare algorithm behaviour, etc. It has been created initially for teaching purposes, but it has also many practical uses under the 'XAI' paradigm.
Visualize Variance is an intuitive 'shiny' applications tailored for agricultural research data analysis, including one-way and two-way analysis of variance, correlation, and other essential statistical tools. Users can easily upload their datasets, perform analyses, and download the results as a well-formatted document, streamlining the process of data analysis and reporting in agricultural research.The experimental design methods are based on classical work by Fisher (1925) and Scheffe (1959). The correlation visualization approaches follow methods developed by Wei & Simko (2021) and Friendly (2002) <doi:10.1198/000313002533>.
Visualizes vowel variation in f0, F1, F2, F3 and duration.
A Shiny application and functions for visual exploration of hierarchical clustering with numeric datasets. Allows users to iterative set hyperparameters, select features and evaluate results through various plots and computation of evaluation criteria.
Implements the novel testing approach by Janitza et al.(2015)
    <http://nbn-resolving.de/urn/resolver.pl?urn=nbn:de:bvb:19-epub-25587-4>
    for the permutation variable importance measure in a random forest and the
    PIMP-algorithm by Altmann et al.(2010) <doi:10.1093/bioinformatics/btq134>.
    Janitza et al.(2015) <http://nbn-resolving.de/urn/resolver.pl?urn=nbn:de:bvb:19-epub-25587-4>
    do not use the "standard" permutation variable
    importance but the cross-validated permutation variable
    importance for the novel test approach. The cross-validated
    permutation variable importance is not based on the out-of-bag
    observations but uses a similar strategy which is inspired by
    the cross-validation procedure. The novel test approach can be
    applied for classification trees as well as for regression
    trees. However, the use of the novel testing approach has not
    been tested for regression trees so far, so this routine is
    meant for the expert user only and its current state is rather
    experimental.
Provides templates and functions to simplify the production and maintenance of curriculum vitae.
Analysing vital statistics based on tools
    consistent with the tidyverse. Tools are provided for data visualization,
    lifetable calculations, computing net migration numbers, Lee-Carter
    modelling; functional data modelling and forecasting.
Provides fitting routines for four versions of the
        Vitality family of mortality models.
Provides a versatile range of functions, including exploratory data analysis, time-series analysis, organizational network analysis, and data validation, whilst at the same time implements a set of best practices in analyzing and visualizing data specific to 'Microsoft Viva Insights'.
Analysis of minor alleles in Illumina sequencing data of viral
    genomes. Functions in 'vivaldi' primarily operate on vcf files.
A suite of plots for displaying variable importance and two-way variable interaction jointly. Can also display partial dependence plots laid out in a pairs plot or 'zenplots' style.
Provides an easy to calculate local variable importance measure based on Ceteris Paribus profile 
  and global variable importance measure based on Partial Dependence Profiles.
Interactive visualization for Bayesian prior and posterior distributions. 
    This package facilitates an animated transition between prior and posterior distributions. 
    Additionally, it splits the distribution into bars based on the provided 'breaks,' displaying 
    the probability for each region. If no 'breaks' are provided, it defaults to zero.
Provides an interface to the VK API <https://vk.com/dev/methods>.
      VK <https://vk.com/> is the largest European online social networking
      service, based in Russia.
Using frequency matrices, very low frequency variants (VLFs) are assessed for amino acid and nucleotide sequences.  The VLFs are then compared to see if they occur in only one member of a species, singleton VLFs, or if they occur in multiple members of a species, shared VLFs.  The amino acid and nucleotide VLFs are then compared to see if they are concordant with one another.  Amino acid VLFs are also assessed to determine if they lead to a change in amino acid residue type, and potential changes to protein structures. Based on Stoeckle and Kerr (2012) <doi:10.1371/journal.pone.0043992>.
Functions, Classes & Methods for estimation, prediction, and
  simulation (bootstrap) of Variable Length Markov Chain ('VLMC') Models.
Models categorical time series through a Markov Chain when a) covariates are predictors for transitioning into the next state/symbol and b) when the dependence in the past states has variable length. The probability of transitioning to the next state in the Markov Chain is defined by a multinomial regression whose parameters depend on the past states of the chain and, moreover, the number of states in the past needed to predict the next state also depends on the observed states themselves. See Zambom, Kim, and Garcia (2022) <doi:10.1111/jtsa.12615>.
A framework to infer causality on a pair of time series of real numbers based on variable-lag Granger causality and transfer entropy. Typically, Granger causality and transfer entropy have an assumption of a fixed and constant time delay between the cause and effect. However, for a non-stationary time series, this assumption is not true. For example, considering two time series of velocity of person A and person B where B follows A. At some time, B stops tying his shoes, then running to catch up A. The fixed-lag assumption is not true in this case. We propose a framework that allows variable-lags between cause and effect in Granger causality and transfer entropy to allow them to deal with variable-lag non-stationary time series. Please see Chainarong Amornbunchornvej, Elena Zheleva, and Tanya Berger-Wolf (2021) <doi:10.1145/3441452> when referring to this package in publications.
'RcppArmadillo' implementation for the Matlab code of the 'Variational Mode Decomposition' and 'Two-Dimensional Variational Mode Decomposition'. For more information, see (i) 'Variational Mode Decomposition' by K. Dragomiretskiy and D. Zosso in IEEE Transactions on Signal Processing, vol. 62, no. 3, pp. 531-544, Feb.1, 2014, <doi:10.1109/TSP.2013.2288675>; (ii) 'Two-Dimensional Variational Mode Decomposition' by Dragomiretskiy, K., Zosso, D. (2015), In: Tai, XC., Bae, E., Chan, T.F., Lysaker, M. (eds) Energy Minimization Methods in Computer Vision and Pattern Recognition. EMMCVPR 2015. Lecture Notes in Computer Science, vol 8932. Springer, <doi:10.1007/978-3-319-14612-6_15>.
Application of Variational Mode Decomposition based different Machine Learning models for univariate time series forecasting. For method details see (i) K. Dragomiretskiy and D. Zosso (2014) <doi:10.1109/TSP.2013.2288675>; (ii)  Pankaj Das (2020) <http://krishi.icar.gov.in/jspui/handle/123456789/44138>.
Forecasting univariate time series with Variational Mode Decomposition (VMD) based time delay neural network models.For method details see Konstantin, D.and Dominique, Z. (2014). <doi:10.1109/TSP.2013.2288675>.
A variety of tools to allow the quantification of videos of the 
    lymphatic vasculature taken under an operating microscope. Lymphatic vessels
    that have been injected with a variety of blue dyes can be tracked throughout
    the video to determine their width over time. Code is optimised
    for efficient processing of multiple large video files. Functions to calculate
    physiologically relevant parameters and generate graphs from these values 
    are also included.
Provides fast sampling from von Mises-Fisher distribution using the method proposed by Andrew T.A Wood (1994) <doi:10.1080/03610919408813161>.
Manage, provision and use Virtual Machines pre-configured for R.
             Develop, test and build package in a clean environment.
             'Vagrant' tool and a provider (such as 'Virtualbox') have to be installed.
An implementation of the variable neighborhood trust region 
    algorithm Bierlaire et al. (2009) "A Heuristic for Nonlinear Global 
    Optimization" <doi:10.1287/ijoc.1090.0343>.
Create adjacency matrices of vocalisation graphs from
  dataframes containing sequences of speech and silence intervals,
  transforming these matrices into Markov diagrams, and generating
  datasets for classification of these diagrams by 'flattening' them
  and adding global properties (functionals) etc.  Vocalisation
  diagrams date back to early work in psychiatry (Jaffe and Feldstein,
  1970) and social psychology (Dabbs and Ruback, 1987) but have only
  recently been employed as a data representation method for machine
  learning tasks including meeting segmentation (Luz, 2012)
  <doi:10.1145/2328967.2328970> and classification (Luz,
  2013) <doi:10.1145/2522848.2533788>.
Methods to calculate the expected value of information from a decision-analytic model.  This includes the expected value of perfect information (EVPI), partial perfect information (EVPPI) and sample information (EVSI), and the expected net benefit of sampling (ENBS).  A range of alternative computational methods are provided under the same user interface.  See Heath et al. (2024) <doi:10.1201/9781003156109>, Jackson et al. (2022) <doi:10.1146/annurev-statistics-040120-010730>.
Tools for voice analysis, speaker recognition and mood inference. 
    Gathers 'R' and 'Python' tools to solve problems concerning voice and audio 
    in general.
Simplifies and largely automates practical voice analytics for social science research. This package offers an accessible and easy-to-use interface, including an interactive Shiny app, that simplifies the processing, extraction, analysis, and reporting of voice recording data in the behavioral and social sciences. The package includes batch processing capabilities to read and analyze multiple voice files in parallel, automates the extraction of key vocal features for further analysis, and automatically generates APA formatted reports for typical between-group comparisons in experimental social science research. A more extensive methodological introduction that inspired the development of the 'voiceR' package is provided in Hildebrand et al. 2020 <doi:10.1016/j.jbusres.2020.09.020>.
'R' implementation of the 'vol2bird' software for generating vertical profiles
    of birds and other biological signals in weather radar data. See Dokter et al.
    (2011) <doi:10.1098/rsif.2010.0116> for a paper describing the methodology.
Trading Strategies for high Option Volatility environment are represented here through their Graphs. The graphic indicators, strategies, calculations, functions and all the discussions are for academic, research, and educational purposes only and should not be construed as investment advice and come with absolutely no Liability.
    Guy Cohen (“The Bible of Options Strategies (2nd ed.)”, 2015, ISBN: 9780133964028).
    Zura Kakushadze, Juan A. Serur (“151 Trading Strategies”, 2018, ISBN: 9783030027919).
    John C. Hull (“Options, Futures, and Other Derivatives (11th ed.)”, 2022, ISBN: 9780136939979).
Generates interactive plots for analysing and visualising 
    three-class high dimensional data. It is particularly suited to visualising 
    differences in continuous attributes such as gene/protein/biomarker 
    expression levels between three groups. Differential gene/biomarker 
    expression analysis between two classes is typically shown as a volcano 
    plot. However, with three groups this type of visualisation is particularly 
    difficult to interpret. This package generates 3D volcano plots and 3-way 
    polar plots for easier interpretation of three-class data.
Interactive adverse event (AE) volcano plot for monitoring clinical trial safety. This tool allows users to view the overall distribution of AEs in a clinical trial using standard (e.g. MedDRA preferred term) or custom (e.g. Gender) categories using a volcano plot similar to proposal by Zink et al. (2013) <doi:10.1177/1740774513485311>. This tool provides a stand-along shiny application and flexible shiny modules allowing this tool to be used as a part of more robust safety monitoring framework like the Shiny app from the 'safetyGraphics' R package.
Provides an R interface for 'volesti' C++ package. 'volesti' computes estimations of volume
             of polytopes given by (i) a set of points, (ii) linear inequalities or (iii) Minkowski sum of segments
             (a.k.a. zonotopes). There are three algorithms for volume estimation as well as algorithms
             for sampling, rounding and rotating polytopes. Moreover, 'volesti' provides algorithms for
             estimating copulas useful in computational finance. Methods implemented in 'volesti' are described
             in A. Chalkis and V. Fisikopoulos (2022) <doi:10.32614/RJ-2021-077> and references therein.
Craft polished tables and plots in Markdown reports. 
             Simply choose whether to treat your data as counts or metrics, 
             and the package will automatically generate well-designed default tables and plots for you.
             Boiled down to the basics, with labeling features and simple interactive reports.
             All functions are 'tidyverse' compatible.
Volleyball match statistics of the German volleyball first division league (seasons 2013/2014 to 
    2018/2019). The data has been collected from the official volleyball first division homepage 
    (<www.volleyball-bundesliga.de>) and contains information on teams, staff, sets, matches, and player-in-match 
    statistics (extracted automatically from the official match reports).
Facilitates modeling species' ecological niches and 
  geographic distributions based on occurrences and environments that 
  have a vertical as well as horizontal component, and projecting models 
  into three-dimensional geographic space. Working in three dimensions is 
  useful in an aquatic context when the organisms one wishes to model can 
  be found across a wide range of depths in the water column. The package
  also contains functions to automatically generate marine training
  model training regions using machine learning, and interpolate and smooth
  patchily sampled environmental rasters using thin plate splines.
  Davis Rabosky AR, Cox CL, Rabosky DL, Title PO, Holmes IA, Feldman A, McGuire JA (2016) <doi:10.1038/ncomms11484>.
  Nychka D, Furrer R, Paige J, Sain S (2021) <doi:10.5065/D6W957CT>.
  Pateiro-Lopez B, Rodriguez-Casal A (2022) <https://CRAN.R-project.org/package=alphahull>.
The d3.js framework with the plugins d3-voronoi-map, d3-voronoi-treemap and d3-weighted-voronoi
        are used to generate Voronoi treemaps in R and in a shiny application.
        The computation of the Voronoi treemaps are based on Nocaj and Brandes (2012)
        <doi:10.1111/j.1467-8659.2012.03078.x>.
Export dataframes and automatically start importing into 
    'Vorteks'. 'Vorteks Visualization Environment (VVE)' and 'Vorteks Data Manager (VDM)' will start an import. 'Vorteks Processing Environment (VPE)' will start a new project and
    add a file reader with the dataframe file already set.
    Warning: WINDOWS ONLY. Requires installation of 'Vorteks' software.
Contains selected data from two publications,
    Campbell 'et' 'al'. (2016) <DOI:10.1080/14486563.2015.1028486>
    and 'Pacioni' 'et' 'al'. (2017) <DOI:10.1071/PC17002>.
    The data is provided both as raw outputs from the population viability
    analysis software 'Vortex' and packaged as R objects.
    The R package 'vortexR' uses the raw data provided here to illustrate its
    functionality of parsing raw 'Vortex' output into R objects.
Collects tweets and metadata for threaded conversations and
    generates networks.
A 'Shiny' application for the interactive visualisation and
    analysis of networks that also provides a web interface for collecting
    social media data using 'vosonSML'.
A suite of easy to use functions for collecting social media
    data and generating networks for analysis. Supports Twitter, YouTube,
    Reddit and web site data sources.
Generating realizations of a fractal Brownian function on uniform 1D & 2D grid with classic and generic versions of the Voss algorithm (random sequential additions).
Counting election votes and determining election results by different methods, including
    the single transferable vote or ranked choice, approval, score, plurality, condorcet and two-round runoff methods (Raftery et al., 2021 <doi:10.32614/RJ-2021-086>).
'ProPublica' <https://projects.propublica.org/represent/> makes United States
    Congress member votes available and has developed their own unique cartogram to visually
    represent this data. Tools are provided to retrieve voting data, prepare voting data 
    for plotting with 'ggplot2', create vote cartograms and theme them.
Provide functions to generate random simulated evaluations on candidates by voters for evaluation-based elections. Functions are based on several models for continuous or discrete evaluations.
An R interface to the Project 'VoteSmart'<https://justfacts.votesmart.org/> API.
Various methods to count ballots in voting systems are provided.
	Functions to check validity of ballots are also provided to ensure flexibility.
Calculates voter transitions comparing two elections, using the function solve.QP() in package 'quadprog'.
A wrapper around a CSS library called 'vov.css', intended for use 
  in 'shiny' applications. Simply wrap a UI element in one of the animation 
  functions to see it move.
Procedures for the manipulation, normalization, and plotting of phonetic and sociophonetic vowel formant data.  vowels is the backend for the NORM website.
Functions for the mass-univariate voxelwise analysis of medical imaging data that follows the NIfTI <http://nifti.nimh.nih.gov> format.
Tools for 3D point cloud voxelisation, projection, geometrical and morphological description of trees (DBH, height, volume, crown diameter), analyses of temporal changes between different measurement times, distance based clustering and visualisation of 3D voxel clouds and 2D projection. Most analyses and algorithms provided in the package are based on the concept of space exploration and are described in Lecigne et al. (2018, <doi:10.1093/aob/mcx095>).
Visual predictive checks are a commonly used diagnostic plot in pharmacometrics, showing how certain statistics (percentiles) for observed data compare to those same statistics for data simulated from a model. The package can generate VPCs for continuous, categorical, censored, and (repeated) time-to-event data.
Variable Penalty Dynamic Time Warping (VPdtw) for aligning chromatographic signals. With an appropriate penalty this method performs good alignment of chromatographic data without deforming the peaks (Clifford, D., Stone, G., Montoliu, I., Rezzi S., Martin F., Guy P., Bruce S., and Kochhar S.(2009) <doi:10.1021/ac802041e>; Clifford, D. and Stone, G. (2012) <doi:10.18637/jss.v047.i08>).
An oceanographic data processing package for analyzing and visualizing Video 
    Plankton Recorder data.  This package was developed at 'Bedford Institute of Oceanography'.
    Functions are designed to process automated image classification output and create organized and 
    easily portable data products.
Implements a set of routines to perform structured matrix factorization with minimum volume constraints. The NMF procedure decomposes a matrix X into a product C * D. Given conditions such that the matrix C is non-negative and has sufficiently spread columns, then volume minimization of a matrix D delivers a correct and unique, up to a scale and permutation, solution (C, D). This package provides both an implementation of volume-regularized NMF and "anchor-free" NMF, whereby the standard NMF problem is reformulated in the covariance domain. This algorithm was applied in Vladimir B. Seplyarskiy Ruslan A. Soldatov, et al. "Population sequencing data reveal a compendium of mutational processes in the human germ line". Science, 12 Aug 2021. <doi:10.1126/science.aba7408>. This package interacts with data available through the 'simulatedNMF' package, which is available in a 'drat' repository. To access this data package, see the instructions at <https://github.com/kharchenkolab/vrnmf>. The size of the 'simulatedNMF' package is approximately 8 MB.
The goal of 'vroom' is to read and write data (like 'csv',
    'tsv' and 'fwf') quickly. When reading it uses a quick initial
    indexing step, then reads the values lazily , so only the data you
    actually use needs to be read.  The writer formats the data in
    parallel and writes to disk asynchronously from formatting.
A  collection of statistical tests for martingale difference hypothesis, including automatic portmanteau test (Escansiano and Lobato, 2009) <doi:10.1016/j.jeconom.2009.03.001> and automatic variance ratio test (Kim, 2009) <doi:10.1016/j.frl.2009.04.003>.
Performs variable selection/feature reduction under a clustering or 
  classification framework. In particular, it can be used in an automated fashion 
  using mixture model-based methods ('teigen' and 'mclust' are currently supported).
  Can account for mixtures of non-Gaussian distributions via Manly transform (via 'ManlyMix').
  See Andrews and McNicholas (2014) <doi:10.1007/s00357-013-9139-2> and Neal and McNicholas (2023)
  <doi:10.48550/arXiv.2305.16464>.
Provides a shim command for survival analysis graphic generation.
Methods for calculating the variance scale exponent to
    identify memory patterns in time series data. Includes tests for white
    noise, short memory, and long memory. See Fu, H. et al. (2018)
    <doi:10.1016/j.physa.2018.06.092>.
An implementation of Vasicek and Song goodness-of-fit tests. Several functions are provided to estimate differential Shannon entropy, i.e., estimate Shannon entropy of real random variables with density, and test the goodness-of-fit of some family of distributions, including uniform, Gaussian, log-normal, exponential, gamma, Weibull, Pareto, Fisher, Laplace and beta distributions; see Lequesne and Regnault (2020) <doi:10.18637/jss.v096.c01>.
Penalized weighted least-squares estimate for variable selection on correlated multiply imputed data and penalized estimating equations for generalized linear models with multiple imputation.
  Reference:
  Li, Y., Yang, H., Yu, H., Huang, H., Shen, Y*. (2023) "Penalized estimating equations for generalized linear models with multiple imputation", <doi:10.1214/22-AOAS1721>.
  Li, Y., Yang, H., Yu, H., Huang, H., Shen, Y*. (2023) "Penalized weighted least-squares estimate for variable selection on correlated multiply imputed data", <doi:10.1093/jrsssc/qlad028>.
A wrapped LASSO approach by integrating an ensemble learning strategy to help select efficient, stable, and high confidential variables from omics-based data. Using a bagging strategy in combination of a parametric method or inflection point search method for cut-off threshold determination. This package can integrate and vote variables generated from multiple LASSO models to determine the optimal candidates. Luo H, Zhao Q, et al (2020) <doi:10.1126/scitranslmed.aax7533> for more details.
Provides fast spectral estimation of latent factors in random
    dot product graphs using the vsp estimator. Under mild assumptions,
    the vsp estimator is consistent for (degree-corrected) stochastic
    blockmodels, (degree-corrected) mixed-membership stochastic
    blockmodels, and degree-corrected overlapping stochastic blockmodels.
A nonparametric method to estimate Toeplitz covariance matrices from a sample of n independently and identically distributed p-dimensional vectors with mean zero. The data is preprocessed with the discrete cosine matrix and a variance stabilization transformation to obtain an approximate Gaussian regression setting for the log-spectral density function. Estimates of the spectral density function and the inverse of the covariance matrix are provided as well. Functions for simulating data and a protein data example are included. For details see (Klockmann, Krivobokova; 2023), <arXiv:2303.10018>.
Implementation of 'Azure DevOps' <https://azure.microsoft.com/> API calls. 
    It enables the extraction of information about repositories, build and release definitions and individual releases. 
    It also helps create repositories and work items within a project without logging into 'Azure DevOps'. 
    There is the ability to use any API service with a shell for any non-predefined call.
Three steps variable selection procedure based on random forests.
    Initially developed to handle high dimensional data (for which number of
    variables largely exceeds number of observations), the package is very
    versatile and can treat most dimensions of data, for regression and
    supervised classification problems. First step is dedicated to eliminate
    irrelevant variables from the dataset. Second step aims to select all
    variables related to the response for interpretation purpose. Third step
    refines the selection by eliminating redundancy in the set of variables
    selected by the second step, for prediction purpose.
    Genuer, R. Poggi, J.-M. and Tuleau-Malot, C. (2015)
    <https://journal.r-project.org/archive/2015-2/genuer-poggi-tuleaumalot.pdf>.
Bayesian variable selection using shrinkage priors to identify significant variables in high-dimensional datasets. The package includes methods for determining the number of significant variables through innovative clustering techniques of posterior distributions, specifically utilizing the 2-Means and Sequential 2-Means (S2M) approaches. The package aims to simplify the variable selection process with minimal tuning required in statistical analysis.
Automatically generates HTML variable documentation including variable names, labels, classes, value labels (if applicable), value ranges, and summary statistics. See the vignette "vtable" for a package overview.
A 'data.frame' processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner.
    'vtreat' prepares variables so that data has fewer exceptional cases, making
    it easier to safely use models in production. Common problems 'vtreat' defends
    against: 'Inf', 'NA', too many categorical levels, rare categorical levels, and new
    categorical levels (levels seen during application, but not during training). Reference: 
    "'vtreat': a data.frame Processor for Predictive Modeling", Zumel, Mount, 2016, <DOI:10.5281/zenodo.1173313>.
A tool for calculating and drawing "variable trees". Variable trees display information about nested subsets of a data frame.
An interactive document on  the topic of variance analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at  <https://predanalyticssessions1.shinyapps.io/chisquareVarianceTest/>.
Estimates the type of variables in non-quality controlled data. The prediction is based on a random forest model, trained on over 5000 medical variables with accuracy of 99%. The accuracy can hardy depend on type and coding style of data.
Contains functions for visualization univariate data: ccdplot and qddplot.
Make it easy to use 'vue' in R with helper
              dependency functions and examples.
Contains functions for analysis and summary of tidal datasets. Also provides access to tidal data collected by the National Oceanic and Atmospheric Administration's Center for Operational Oceanographic Products and Services and the Permanent Service for Mean Sea Level. For detailed description and application examples, see Hill, T.D. and S.C. Anisfeld (2021) <doi:10.6084/m9.figshare.14161202.v1> and Hill, T.D. and S.C. Anisfeld (2015) <doi:10.1016/j.ecss.2015.06.004>.
Calculates the volume under the ROC surface and its (co)variance for ordered multi-class ROC analysis as well as certain bivariate ordinal measures of association.
Offers a comprehensive set of assertion tests to help users validate the integrity of their data. 
    These tests can be used to check for specific conditions or properties within a dataset and 
    help ensure that data is accurate and reliable. 
    The package is designed to make it easy to add quality control checks to data analysis 
    workflows and to aid in identifying and correcting any errors or inconsistencies in data.
Allow R users to interact with the 'Canvas' Learning Management System (LMS) API (see
    <https://canvas.instructure.com/doc/api/all_resources.html> for details).
    It provides a set of functions to access and manipulate course data, assignments, grades, users, 
    and other resources available through the 'Canvas' API.
Provides a set of functions for data transformations.
    Transformations are performed on character and numeric data. As the scope of the package is
    within Student Analytics, there are functions focused around the academic year.
Provides a user-friendly R 'shiny' app for performing various statistical tests on datasets. 
  It allows users to upload data in numerous formats and perform statistical analyses. 
  The app dynamically adapts its options based on the selected columns and supports both single and multiple column comparisons.
  The app's user interface is designed to streamline the process of selecting datasets, columns, and test options, 
  making it easy for users to explore and interpret their data. The underlying functions for statistical tests are well-organized and can be used independently within other R scripts.
Provides numerous functions to fill data.
    These can be applied either to missing or skewed data.
    The functions are designed within the scope of Student Analytics.
Offers a wide range of functions for reading and writing data in various file formats, 
    including CSV, RDS, Excel and ZIP files. 
    Additionally, it provides functions for retrieving metadata associated with files, 
    such as file size and creation date, making it easy to manage and organize large data sets. 
    This package is designed to simplify data import and export tasks, 
    and provide users with a comprehensive set of tools to work with different types of data files.
Provides a set of functions for manipulating data frames in accordance with specific business rules. 
    In addition, it includes wrapper functions for commonly used functions from the popular 'tidyverse' package, 
    making it easy to integrate these functions into data analysis workflows. 
    The package is designed to streamline data preprocessing and help users quickly and efficiently 
    perform data transformations that are specific to their business needs.
Helper and Wrapper functions for making shiny dashboards more easily. Functions are made modular and lower level functions are exported as well, so many use-cases are supported.
Provides an R interface for interacting with the 'Tableau' Server.
    It allows users to perform various operations such as publishing workbooks, refreshing data extracts, 
    and managing users using the 'Tableau' REST API (see <https://help.tableau.com/current/api/rest_api/en-us/REST/rest_api_ref.htm> for details). Additionally, 
    it includes functions to perform manipulations on local 'Tableau' workbooks.
Provides an R interface for interacting with the 'Semestry TermTime' services.
    It allows users to retrieve scheduling data from the API. see
    <https://github.com/vusaverse/vvtermtime/blob/main/openapi_7.7.0.pdf> for details.
Provides R functions to draw lines and curves with the width
             of the curve allowed to vary along the length of the curve.
Gaze data from the Visual World Paradigm requires significant
    preprocessing prior to plotting and analyzing the data. This package 
    provides functions for preparing visual world eye-tracking data for 
    statistical analysis and plotting. It can prepare data for linear 
    analyses (e.g., ANOVA, Gaussian-family LMER, Gaussian-family GAMM) as
    well as logistic analyses (e.g., binomial-family LMER and binomial-family GAMM).
    Additionally, it contains various plotting functions for creating grand average and
    conditional average plots. See the vignette for samples of the functionality.
    Currently, the functions in this package are designed for handling data
    collected with SR Research Eyelink eye trackers using Sample Reports created
    in SR Research Data Viewer.  While we would like to add functionality 
    for data collected with other systems in the future, the current package is 
    considered to be feature-complete; further updates will mainly entail maintenance
	and the addition of minor functionality.
Set of functions that improves the graphical presentations of the functions: wave.correlation and spin.correlation (waveslim package, Whitcher 2012) and the wave.multiple.correlation and wave.multiple.cross.correlation (wavemulcor package, Fernandez-Macho 2012b). The plot outputs (heatmaps) can be displayed in the screen or can be saved as PNG or JPG images or as PDF or EPS formats. The W2CWM2C package also helps to handle the (input data) multivariate time series easily as a list of N elements (times series) and provides a multivariate data set (dataexample) to exemplify its use. A description of the package was published in a scientific paper: Polanco-Martinez and Fernandez-Macho (2014), <doi:10.1109/MCSE.2014.96>.
R interface to a W3C Markup Validation service.
  See <https://validator.w3.org/> for more information.
Provides a set of utility function to prevent the spread of
    utilities script in W4M (Workflow4Metabolomics) scripts, and centralize
    them in a single package.
    Some are meant to be replaced by real packages in a near future, like
    the parse_args() function: it is here only to prepare the ground for
    more global changes in W4M scripts and tools.
Contains inferential and graphical routines for multi-group analysis of while-alive loss (or event) rate for possibly recurrent nonfatal event in the presence of death.
Color palettes taken from the landscapes and cities of Washington 
    state. Colors were extracted from a set of photographs, and then combined to 
    form a set of continuous and discrete palettes.  Continuous palettes were 
    designed to be perceptually uniform, while discrete palettes were chosen to
    maximize contrast at several different levels of overall brightness and 
    saturation. Each palette has been evaluated to ensure colors are 
    distinguishable by colorblind people.
A multivariate weather generator for daily climate variables based 
    on weather-states (Flecher et al. (2010) <doi:10.1029/2009WR008098>). 
    It uses a Markov chain for modeling the succession of weather states. 
    Conditionally to the weather states, the multivariate variables are modeled using the family 
    of Complete Skew-Normal distributions. Parameters are estimated on measured series. Must 
    include the variable 'Rain' and can accept as many other variables as desired.
A user-friendly factor-like interface for converting strings of
    text into numeric vectors and rectangular data structures.
Square pie charts (a.k.a. waffle charts) can be used
    to communicate parts of a whole for categorical quantities. To emulate the
    percentage view of a pie chart, a 10x10 grid should be used with each square
    representing 1% of the total. Modern uses of waffle charts do not
    necessarily adhere to this rule and can be created with a grid of any
    rectangular shape. Best practices suggest keeping the number of categories
    small, just as should be done when creating pie charts. Tools are provided
    to create waffle charts as well as stitch them together, and to use glyphs
    for making isotype pictograms.
Full screen and partial loading screens for 'Shiny' with spinners, progress bars, and notifications.
Generates random data sets including: data.frames, lists,
        and vectors.
Read 'Quake' assets including bitmap images and textures in 'wal' file format. This package also provides support for extracting these assets from 'WAD' and 'PAK' file archives. It can also read models in 'MDL' and 'MD2' formats.
Compare complex R objects and reveal the key differences.
    Designed particularly for use in testing packages where being able to
    quickly isolate key differences makes understanding test failures much
    easier.
Process GPS and accelerometry data to generate walk bouts. A walk bout is a period of activity with accelerometer movement matching the patterns of walking with corresponding GPS measurements that confirm travel. The inputs of the 'walkboutr' package are individual-level accelerometry and GPS data. The outputs of the model are walk bouts with corresponding times, duration, and summary statistics on the sample population, which collapse all personally identifying information. These bouts can be used to measure walking both as an outcome of a change to the built environment or as a predictor of health outcomes such as a cardioprotective behavior. Kang B, Moudon AV, Hurvitz PM, Saelens BE (2017) <doi:10.1016/j.trd.2017.09.026>.
Efficient Bayesian generalized linear models with time-varying coefficients 
    as in Helske (2022, <doi:10.1016/j.softx.2022.101016>). Gaussian, Poisson, and binomial 
    observations are supported. The Markov chain Monte Carlo (MCMC) computations are done using 
    Hamiltonian Monte Carlo provided by Stan, using a state space representation 
    of the model in order to marginalise over the coefficients for efficient sampling. 
    For non-Gaussian models, the package uses the importance sampling type estimators based on 
    approximate marginal MCMC as in Vihola, Helske, Franks (2020, <doi:10.1111/sjos.12492>).
Easily collect walk scores, bike scores, and transit scores (where
    available) from the 'Walk Score' API <https://www.walkscore.com/professional/api.php>, 
    a proprietary API that assigns locations a walkability score between 0 and 100.
A collection of functions to perform the Application
        Programming Interface (API) calls associated with the Walk
        Score website (www.walkscore.com) within the R environment.
        These functions can be used to query the Walk Score and Transit
        Score database for a wide variety of information using R
        scripts. This package includes the simple Walk Score and
        Transit Score API calls, which return the scores associated
        with an input location, as well as calls which return some data
        used to calculate the scores. These functions are especially
        useful for mass data collection and gathering Walk Score and
        Transit Score values for large lists of locations.
The 'shiny' application Wallace is a modular platform for 
    reproducible modeling of species niches and distributions. Wallace
    guides users through a complete analysis, from the acquisition of species
    occurrence and environmental data to visualizing model predictions on an 
    interactive map, thus bundling complex workflows into a single, 
    streamlined interface. An extensive vignette, which guides users through 
    most package functionality can be found on the package's GitHub Pages 
    website: <https://wallaceecomod.github.io/wallace/articles/tutorial-v2.html>.
Datasets from the WallOmics project. Contains phenomics, metabolomics, proteomics and transcriptomics data collected from two organs of five ecotypes of the model plant Arabidopsis thaliana exposed to two temperature growth conditions. Exploratory and integrative analyses of these data are presented in Durufle et al (2020) <doi:10.1093/bib/bbaa166> and Durufle et al (2020) <doi:10.3390/cells9102249>.
A prediction model is calibrated if, roughly, for any percentage x we can expect that x subjects out of 100 experience the event among all subjects that have a predicted risk of x%. A calibration plot provides a simple, yet useful, way of assessing the calibration assumption. The Wally plot consists of a sequence of usual calibration plots. Among the plots contained within the sequence, one is the actual calibration plot which has been obtained from the data and the others are obtained from similar simulated data under the calibration assumption. It provides the investigator with a direct visual understanding of the shape and sampling variability that are common under the calibration assumption. The original calibration plot from the data is included randomly among the simulated calibration plots, similarly to a police lineup. If the original calibration plot is not easily identified then the calibration assumption is not contradicted by the data. The method handles the common situations in which the data contain censored observations and occurrences of competing events.
Provides API access to the Walmart Open API <https://developer.walmartlabs.com/>, 
    that contains data about stores, Value of the day and products which 
    includes names, sale prices, shipping rates and taxonomies.
A toolbox of common robust statistical tests, including robust
  descriptives, robust t-tests, and robust ANOVA. It is also available as a
  module for 'jamovi' (see <https://www.jamovi.org> for more information).
  Walrus is based on the WRS2 package by Patrick Mair, which is in turn based on
  the scripts and work of Rand Wilcox. These analyses are described in depth in
  the book 'Introduction to Robust Estimation & Hypothesis Testing'.
Implements Weighted-Average Least Squares model averaging
    for negative binomial regression models of Huynh (2024) <doi:10.48550/arXiv.2404.11324>,
    generalized linear models of De Luca, Magnus, Peracchi (2018) 
    <doi:10.1016/j.jeconom.2017.12.007> and linear regression models of 
    Magnus, Powell, Pruefer (2010) <doi:10.1016/j.jeconom.2009.07.004>, see also 
    Magnus, De Luca (2016) <doi:10.1111/joes.12094>. Weighted-Average Least Squares
    for the linear regression model is based on the original 'MATLAB' code by 
    Magnus and De Luca <https://www.janmagnus.nl/items/WALS.pdf>, see also 
    Kumar, Magnus (2013) <doi:10.1007/s13571-013-0060-9> and 
    De Luca, Magnus (2011) <doi:10.1177/1536867X1201100402>.
The outcome of various rehabilitation strategies for water distribution systems can be modeled with the Water Management Simulator (WaMaSim). Pipe breaks and the corresponding damage and rehabilitation costs are simulated. It is mainly intended to be used as educational tool for the Water Infrastructure Experimental and Computer Laboratory at ETH Zurich, Switzerland.
'MIME' types are shorthand descriptors for
      file contents and can be determined from "magic"
      bytes in file headers, file contents or intuited
      from file extensions. Tools are provided to
      perform curated "magic" tests as well as mapping
      'MIME' types from a database of over 1,500
      extension mappings.
Provides the functions to perform a Welch's one-way Anova with fixed effects
  based on summary statistics (sample size, means, standard deviation) and the Games-Howell post hoc test
  for multiple comparisons and provides the effect size estimator adjusted omega squared.
  In addition sample size estimation can be computed based on Levy's method, and a Monte Carlo
  simulation is included to bootstrap residual normality and homoscedasticity
  Welch, B. L. (1951) <doi:10.1093/biomet/38.3-4.330>
  Kirk, R. E. (1996) <doi:10.1177/0013164496056005002>
  Carroll, R. M., & Nordholm, L. A. (1975) <doi:10.1177/001316447503500304>
  Albers, C., & Lakens, D. (2018) <doi:10.1016/j.jesp.2017.09.004>
  Games, P. A., & Howell, J. F. (1976) <doi:10.2307/1164979>
  Levy, K. J. (1978a) <doi:10.1080/00949657808810246>
  Show-Li, J., & Gwowen, S. (2014) <doi:10.1111/bmsp.12006>.
It generates the roster of turn for an outlet which is flowing 
        (water) 24X7 or 168 hours towards the area under command or agricutural 
        area (to be irrigated). The area under command is differentially owned 
        by different individual farmers. The Outlet runs for free of cost to 
        irrigate the area under command 24X7.
        So, flow time of the outlet has to be divided based on an area owned by 
        an individual farmer and the location of his land or farm. This roster 
        is known as 'warabandi' and its generation in agriculture practices is a 
        very tedious task. Calculations of time in microseconds are more 
        error-prone, especially whenever it is performed by hands. That division
        of flow time for an individual farmer can be calculated by 'warabandi'. 
        However, it generates a full publishable report for an outlet and all the 
        farmers who have farms subjected to be irrigated. 
        It reduces error risk and makes a more reproducible roster. For more 
        details about warabandi system you can found elsewhere in 
        Bandaragoda DJ(1995) <https://publications.iwmi.org/pdf/H_17571i.pdf>.
Functions aiming to facilitate the analysis of the structure of animal acoustic signals in 'R'. 'warbleR' makes use of the basic sound analysis tools from the packages 'tuneR' and 'seewave', and offers new tools for acoustic structure analysis. The main features of the package are the use of loops to apply tasks through acoustic signals referenced in a selection (annotation) table and the production of spectrograms in image files that allow to organize data and verify acoustic analyzes. The package offers functions to explore, organize and manipulate multiple sound files, explore and download 'Xeno-Canto' recordings, create spectrograms of complete recordings or individual signals, run different measures of acoustic signal structure, evaluate the performance of measurement methods, catalog signals, characterize different structural levels in acoustic signals, run statistical analysis of duet coordination and consolidate databases and annotation tables, among others.
This estimates precise weaning ages
	for a given skeletal population
	by analyzing the stable nitrogen isotope ratios of them.
	Bone collagen turnover rates estimated anew and
	the approximate Bayesian computation (ABC)
	were adopted in this package.
Tooling to group dates by a variety of periods including:
    yearly, monthly, by second, by week of the month, and more.  The
    groups are defined in such a way that they also represent the distance
    between dates in terms of the period. This extracts valuable
    information that can be used in further calculations that rely on a
    specific temporal spacing between observations.
Mixed effects modeling with warping for functional data using B-
    spline. Warping coefficients are considered as random effects, and warping
    functions are general functions, parameters representing the projection onto B-
    spline basis of a part of the warping functions. Warped data are modelled by a
    linear mixed effect functional model, the noise is Gaussian and independent from
    the warping functions.
Urban water and sanitation survey dataset collected by Water and
    Sanitation for the Urban Poor (WSUP) with technical support from 
    Valid International. These citywide surveys have been collecting data 
    allowing water and sanitation service levels across the entire city to be 
    characterised, while also allowing more detailed data to be collected in 
    areas of the city of particular interest. These surveys are intended to 
    generate useful information for others working in the water and sanitation
    sector. Current release version includes datasets collected from a survey 
    conducted in Dhaka, Bangladesh in March 2017. This survey in Dhaka is one of 
    a series of surveys to be conducted by WSUP in various
    cities in which they operate including Accra, Ghana; Nakuru, Kenya; 
    Antananarivo, Madagascar; Maputo, Mozambique; and, Lusaka, Zambia. This 
    package will be updated once the surveys in other cities are completed and 
    datasets have been made available.
Time series outlier detection with non parametric test. This is a new outlier detection methodology (washer): efficient for time saving elaboration and implementation procedures, adaptable for general assumptions and for needing very short time series, reliable and effective as involving robust non parametric test. You can find two approaches: single time series (a vector) and grouped time series (a data frame). For other informations: Andrea Venturini (2011) Statistica - Universita di Bologna, Vol.71, pp.329-344. For an informal explanation look at R-bloggers on web.
Gets data from the Washington State Legislature.
Create plots and tables in a consistent style with WaSHI
    (Washington Soil Health Initiative) branding. Use 'washi' to easily
    style your 'ggplot2' plots and 'flextable' tables.
A toolkit to set up an R data package in a consistent structure. Automates tasks like tidy data export, data dictionary documentation, README and website creation, and citation management.
The wavelet-based variance transformation method is used for system modelling and prediction. It refines predictor spectral representation using Wavelet Theory, which leads to improved model specifications and prediction accuracy. Details of methodologies used in the package can be found in Jiang, Z., Sharma, A., & Johnson, F. (2020) <doi:10.1029/2019WR026962>, Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020) <doi:10.1016/j.envsoft.2020.104907>, and Jiang, Z., Sharma, A., & Johnson, F. (2021) <doi:10.1016/J.JHYDROL.2021.126816>.
Provides a set of functions to implement decision-making systems
    based on the W.A.S.P.A.S. method (Weighted Aggregated Sum Product Assessment),
    Chakraborty and Zavadskas (2012) <doi:10.5755/j01.eee.122.6.1810>.
    So this package offers functions that analyze and validate the
    raw data, which must be entered in a determined format;
    extract specific vectors and matrices from this raw database;
    normalize the input data; calculate rankings by intermediate methods;
    apply the lambda parameter for the main method; and a function that does
    everything at once. The package has an example database called choppers,
    with which the user can see how the input data should be organized so that
    everything works as recommended by the decision methods based on multiple
    criteria that this package solves. Basically, the data are composed of a set
    of alternatives, which will be ranked, a set of choice criteria, a matrix
    of values for each Alternative-Criterion relationship, a vector of weights
    associated with the criteria, since certain criteria are considered more
    important than others, as well as a vector that defines each criterion as
    cost or benefit, this determines the calculation formula, as there are those
    criteria that we want the highest possible value (e.g. durability)
    and others that we want the lowest possible value (e.g. price).
Functions to compute Wasserstein barycenters
    of subset posteriors using the swapping algorithm developed by Puccetti, 
    Rüschendorf and Vanduffel (2020) <doi:10.1016/j.jmaa.2017.02.003>. The 
    Wasserstein barycenter is a geometric approach for combining subset 
    posteriors. It allows for parallel and distributed computation of the 
    posterior in case of complex models and/or big datasets, thereby increasing
    computational speed tremendously.
Imports U.S. Geological Survey (USGS) daily hydrologic data from USGS web services (see <https://waterservices.usgs.gov/> for more information), plots the data, addresses some common data problems, and calculates and plots anomalies.
Provides support for creating waterfall charts in R
    using both traditional base and lattice graphics.
A not uncommon task for quants is to create 'waterfall charts'. There seems to be no simple way to do this in 'ggplot2' currently. This package contains a single function (waterfall) that simply draws a waterfall chart in a 'ggplot2' object. Some flexibility is provided, though often the object created will need to be modified through a theme.
The main purpose of waterquality is to quickly and easily convert
    satellite-based reflectance imagery into one or many well-known water quality
    algorithms designed for the detection of harmful algal blooms or the following
    pigment proxies: chlorophyll-a, blue-green algae (phycocyanin), and turbidity.
    Johansen et al. (2019) <doi:10.21079/11681/35053>.
Provides Water Year Hydrologic Classification Indices based on measured 
    unimpaired runoff (in million acre-feet). Data is provided by California Department of Water Resources
    and subject to revision.
Wrap-around Time Series (WATS) plots for interrupted time series
    designs with seasonal patterns.
    Longitudinal trajectories are shown in both Cartesian and polar coordinates.
    In many scenarios, a WATS plot more clearly shows the existence and effect size of
    of an intervention.
    This package accompanies
    "Graphical Data Analysis on the Circle: Wrap-Around Time Series Plots for (Interrupted) Time Series Designs"
    by Rodgers, Beasley, & Schuelke (2014)
    <doi:10.1080/00273171.2014.946589>;
    see 'citation("Wats")' for details.
Tools for fitting and simulating mixtures of Watson distributions. 
             The random sampling scheme of the package offers two sampling 
             algorithms that are based of the results of Sablica, Hornik and Leydold (2022)
             <https://research.wu.ac.at/en/publications/random-sampling-from-the-watson-distribution>.
             What is more, the package offers a smart tool to combine these two methods,
             and based on the selected parameters, it approximates the relative sampling
             speed for both methods and picks the faster one. In addition, the package
             offers a fitting function for the mixtures of Watson distribution, that
             uses the expectation-maximization (EM) algorithm. Special features are
             the possibility to use multiple variants of the E-step and M-step,
             sparse matrices for the data representation and state of the art methods
             for numerical evaluation of needed special functions using the results of
             Sablica and Hornik (2022) <https://www.ams.org/journals/mcom/2022-91-334/S0025-5718-2021-03690-X/>.
Efficiently read and write Waveform (WAV) audio files <https://en.wikipedia.org/wiki/WAV>. 
  Support for unsigned 8 bit Pulse-code modulation (PCM), signed 12, 16, 24 and 32 bit 
  PCM and other encodings.
Computes Bayesian wavelet shrinkage credible intervals for
	nonparametric regression.
	The method uses cumulants to derive Bayesian credible intervals for
	wavelet regression estimates.
	The first four cumulants of the posterior distribution of the
	estimates are expressed in terms of the observed data and integer
	powers of the mother wavelet functions.
	These powers are closely approximated by linear combinations of
	wavelet scaling functions at an appropriate finer scale.
	Hence, a suitable modification of the discrete wavelet transform allows
	the posterior cumulants to be found efficiently for any data set.
	Johnson transformations then yield the credible intervals themselves.
	Barber, S., Nason, G.P. and Silverman, B.W. (2002)
	<doi:10.1111/1467-9868.00332>.
Makes available code necessary to reproduce figures and
        tables in papers on the WaveD method for wavelet deconvolution
        of noisy signals as presented in The WaveD Transform in R,
        Journal of Statistical Software Volume 21, No. 3, 2007.
The wavelet and ANN technique have been combined to reduce the effect of data noise. This wavelet-ANN conjunction model is able to forecast time series data with better accuracy than the traditional time series model. This package fits hybrid Wavelet ANN model for time series forecasting using algorithm by Anjoy and Paul (2017) <DOI: 10.1007/s00521-017-3289-9>.
Noise in the time-series data significantly affects the accuracy of the ARIMA model. Wavelet transformation decomposes the time series data into subcomponents to reduce the noise and help to improve the model performance. The wavelet-ARIMA model can achieve higher prediction accuracy than the traditional ARIMA model. This package provides Wavelet-ARIMA model for time series forecasting based on the algorithm by Aminghafari and Poggi (2012) and Paul and Anjoy (2018) <doi:10.1142/S0219691307002002> <doi:10.1007/s00704-017-2271-x>.
Wavelet analysis and reconstruction of time series, cross-wavelets and phase-difference (with filtering options), significance with simulation algorithms.
ETS stands for Error, Trend, and Seasonality, and it is a popular time series forecasting method. Wavelet decomposition can be used for denoising, compression, and feature extraction of signals. By removing the high-frequency components, wavelet decomposition can remove noise from the data while preserving important features. A hybrid Wavelet ETS  (Error Trend-Seasonality) model has been developed for time series forecasting using algorithm of Anjoy and Paul (2017) <DOI:10.1007/s00521-017-3289-9>.
Fits the combination of Wavelet-GARCH model for time series forecasting using algorithm by Paul (2015) <doi:10.3233/MAS-150328>.
Wavelet decomposition method is very useful for modelling noisy time series data. Wavelet decomposition using 'haar' algorithm has been implemented to developed hybrid Wavelet GBM (Gradient Boosting Method) model for time series forecasting using algorithm by Anjoy and Paul (2017) <DOI:10.1007/s00521-017-3289-9>.
The employment of the Wavelet decomposition technique proves to be highly advantageous in the modelling of noisy time series data. Wavelet decomposition technique using the "haar" algorithm has been incorporated to formulate a hybrid Wavelet KNN (K-Nearest Neighbour) model for time series forecasting, as proposed by Anjoy and Paul (2017) <DOI:10.1007/s00521-017-3289-9>.
A wavelet-based LSTM model is a type of neural network architecture that uses wavelet technique to pre-process the input data before passing it through a Long Short-Term Memory (LSTM) network. The wavelet-based LSTM model is a powerful approach that combines the benefits of wavelet analysis and LSTM networks to improve the accuracy of predictions in various applications. This package has been developed using the algorithm of Anjoy and Paul (2017) and Paul and Garai (2021) <DOI:10.1007/s00521-017-3289-9> <doi:10.1007/s00500-021-06087-4>.
Wavelet decomposes a series into multiple sub series called detailed and smooth components which helps to capture volatility at multi resolution level by various models. Two hybrid Machine Learning (ML) models (Artificial Neural Network and Support Vector Regression have been used) have been developed in combination with stochastic models, feature selection, and optimization algorithms for prediction of the data. The algorithms have been developed following Paul and Garai (2021)  <doi:10.1007/s00500-021-06087-4>.
Four filters have been chosen namely 'haar', 'c6', 'la8', and 'bl14' (Kindly refer to 'wavelets' in 'CRAN' repository for more supported filters). Levels of decomposition are 2, 3, 4, etc. up to maximum decomposition level which is ceiling value of logarithm of length of the series base 2. For each combination two models are run separately. Results are stored in 'input'. First five metrics are expected to be minimum and last three metrics are expected to be maximum for a model to be considered good. Firstly, every metric value (among first five) is searched in every columns and minimum values are denoted as 'MIN' and other values are denoted as 'NA'. Secondly, every metric (among last three) is searched in every columns and maximum values are denoted as 'MAX' and other values are denoted as 'NA'. 'output' contains the similar number of rows (which is 8) and columns (which is number filter-level combinations) as of 'input'. Values in 'output' are corresponding 'NA', 'MIN' or 'MAX'. Finally, the column containing minimum number of 'NA' values is denoted as the best ('FL'). In special case, if two columns having equal 'NA', it has been checked among these two columns which one is having least 'NA' in first five rows and has been inferred as the best. 'FL_metrics_values' are the corresponding metrics values. 'WARIGAANbest' is the data frame (dimension: 1*8) containing different metrics of the best filter-level combination.  More details can be found in Garai and others (2023) <doi:10.13140/RG.2.2.11977.42087>.
The Wavelet Decomposition followed by Random Forest Regression (RF) models have been applied for time series forecasting. The maximum overlap discrete wavelet transform (MODWT) algorithm was chosen as it works for any length of the series. The series is first divided into training and testing sets. In each of the wavelet decomposed series, the  supervised machine learning approach namely random forest was employed to train the model. This package also provides accuracy metrics in the form of Root Mean Square Error (RMSE) and Mean Absolute Prediction Error (MAPE). This package is based on the algorithm of Ding et al. (2021) <DOI: 10.1007/s11356-020-12298-3>.
Contains functions for computing and plotting
        discrete wavelet transforms (DWT) and maximal overlap discrete
        wavelet transforms (MODWT), as well as their inverses.
        Additionally, it contains functionality for computing and
        plotting wavelet transform filters that are used in the above
        decompositions as well as multiresolution analyses.
The main aim of this package is to combine the advantage of wavelet and support vector machine models for time series forecasting. This package also gives the accuracy measurements in terms of RMSE and MAPE. This package fits the hybrid Wavelet SVR model for time series forecasting The main aim of this package is to combine the advantage of wavelet and Support Vector Regression (SVR) models for time series forecasting. This package also gives the accuracy measurements in terms of Root Mean Square Error (RMSE) and Mean Absolute Prediction Error (MAPE). This package is based on the algorithm of Raimundo and Okamoto (2018) <DOI: 10.1109/INFOCT.2018.8356851>.
Wavelet routines that calculate single sets of wavelet
    multiple regressions and correlations, and cross-regressions and
    cross-correlations from a multivariate time series.  Dynamic versions
    of the routines allow the wavelet local multiple (cross-)regressions
    and (cross-)correlations to evolve over time.
Functions for calculating the
    fetch (length of open water distance along given directions)
    and estimating wave energy from wind and wave monitoring data.
For multivariate datasets, this function enables the estimation of missing data using the Weighted AVERage of all possible Regressions using the data available.
Originally designed application in the context of
    resource-limited plant research and breeding programs, 'waves'
    provides an open-source solution to spectral data processing and model
    development by bringing useful packages together into a streamlined
    pipeline.  This package is wrapper for functions related to the
    analysis of point visible and near-infrared reflectance measurements.
    It includes visualization, filtering, aggregation, preprocessing,
    cross-validation set formation, model training, and prediction
    functions to enable open-source association of spectral and reference
    data. This package is documented in a peer-reviewed manuscript in the
    Plant Phenome Journal <doi:10.1002/ppj2.20012>.  Specialized
    cross-validation schemes are described in detail in Jarquín et al.
    (2017) <doi:10.3835/plantgenome2016.12.0130>. Example data is from
    Ikeogu et al. (2017) <doi:10.1371/journal.pone.0188918>.
Spatial data are generally auto-correlated, meaning that if two 
  units selected are close to each other, then it is likely that they share the
  same properties. For this reason, when sampling in the population it is often
  needed that the sample is well spread over space. A new method to draw a sample
  from a population with spatial coordinates is proposed. This method is called
  wave (Weakly Associated Vectors) sampling. It uses the less correlated vector
  to a spatial weights matrix to update the inclusion probabilities vector
  into a sample. For more details see Raphaël Jauslin and Yves Tillé (2019) <doi:10.1007/s13253-020-00407-1>.
Basic wavelet routines for time series (1D), image (2D) and array 
  (3D) analysis.  The code provided here is based on wavelet methodology 
  developed in Percival and Walden (2000); Gencay, Selcuk and Whitcher (2001); 
  the dual-tree complex wavelet transform (DTCWT) from Kingsbury (1999, 2001) as
  implemented by Selesnick; and Hilbert wavelet pairs (Selesnick 2001, 2002).  
  All figures in chapters 4-7 of GSW (2001) are reproducible using this package 
  and R code available at the book website(s) below.
Performs 1, 2 and 3D real and complex-valued wavelet transforms,
	nondecimated transforms, wavelet packet transforms, nondecimated
	wavelet packet transforms, multiple wavelet transforms,
	complex-valued wavelet transforms, wavelet shrinkage for
	various kinds of data, locally stationary wavelet time series,
	nonstationary multiscale transfer function modeling, density
	estimation.
Provides scalogram based wavelet tools for time series analysis: wavelet power spectrum, scalogram, windowed scalogram, windowed scalogram difference (see Bolos et al. (2017) <doi:10.1016/j.amc.2017.05.046>), scale index and windowed scale index (Benitez et al. (2010) <doi:10.1016/j.camwa.2010.05.010>).
Computation of approximate potentials for both gradient and non
    gradient fields. It is known from physics that only gradient fields, also
    known as conservative, have a well defined potential function. Here we
    present an algorithm, based on the classical Helmholtz decomposition, to
    obtain an approximate potential function for non gradient fields.
    More information in
    Rodríguez-Sánchez (2020) <doi:10.1371/journal.pcbi.1007788>.
Converts pathways from 'WikiPathways' GPML format into
  'igraph' objects. Includes tools to find all cycles in the
  resulting graphs and determine which ones involve negative feedback
  (inhibition).
Assessing predictive models of spatial data can be
    challenging, both because these models are typically built for
    extrapolating outside the original region represented by training data
    and due to potential spatially structured errors, with "hot spots" of
    higher than expected error clustered geographically due to spatial
    structure in the underlying data. Methods are provided for assessing
    models fit to spatial data, including approaches for measuring the
    spatial structure of model errors, assessing model predictions at
    multiple spatial scales, and evaluating where predictions can be made
    safely. Methods are particularly useful for models fit using the
    'tidymodels' framework. Methods include Moran's I ('Moran' (1950)
    <doi:10.2307/2332142>), Geary's C ('Geary' (1954)
    <doi:10.2307/2986645>), Getis-Ord's G ('Ord' and 'Getis' (1995)
    <doi:10.1111/j.1538-4632.1995.tb00912.x>), agreement coefficients from
    'Ji' and Gallo (2006) (<doi: 10.14358/PERS.72.7.823>), agreement
    metrics from 'Willmott' (1981) (<doi: 10.1080/02723646.1981.10642213>)
    and 'Willmott' 'et' 'al'. (2012) (<doi: 10.1002/joc.2419>), an
    implementation of the area of applicability methodology from 'Meyer'
    and 'Pebesma' (2021) (<doi:10.1111/2041-210X.13650>), and an
    implementation of multi-scale assessment as described in 'Riemann'
    'et' 'al'. (2010) (<doi:10.1016/j.rse.2010.05.010>).
The BACON algorithms are methods for multivariate outlier
    nomination (detection) and robust linear regression by Billor, Hadi,
    and Velleman (2000) <doi:10.1016/S0167-9473(99)00101-2>. The extension
    to weighted problems is due to Beguin and Hulliger (2008)
    <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X200800110616>; see
    also <doi:10.21105/joss.03238>.
Access and analyze the World Bank’s International Debt Statistics 
  (IDS) <https://datacatalog.worldbank.org/search/dataset/0038015>. 
  IDS provides creditor-debtor relationships between countries, regions, and 
  institutions. 'wbids' enables users to download, process and work with IDS
  series across multiple geographies, counterparts, and time periods.
Provides efficient implementation of the Wild Binary Segmentation and Binary
    Segmentation algorithms for estimation of the number and locations of
    multiple change-points in the piecewise constant function plus Gaussian
    noise model.
Implements the diagnostic "theta" developed in Poetscher and Preinerstorfer (2020) "How Reliable are Bootstrap-based Heteroskedasticity Robust Tests?" <arXiv:2005.04089>. This diagnostic can be used to detect and weed out bootstrap-based procedures that provably have size equal to one for a given testing problem. The implementation covers a large variety of bootstrap-based procedures, cf. the above mentioned article for details. A function for computing bootstrap p-values is provided.
Search and download data from the World Bank Data API.
Implements detection for the number and locations of
    the change-points in a time series using the Wild Binary Segmentation and
    the Locally Stationary Wavelet model of Korkas and Fryzlewicz (2017) <doi:10.5705/ss.202015.0262>.
Download and plot education specific demographic data from the Wittgenstein Centre for Demography and Human Capital Data Explorer <http://dataexplorer.wittgensteincentre.org/>.
A flexible method for modeling cumulative effects of time-varying exposures, weighted according to their relative proximity in time, and represented by time-dependent covariates. The current implementation estimates the weight function in the Cox proportional hazards model. The function that assigns weights to doses taken in the past is estimated using cubic regression splines.
Analyze given data frame with multiple endpoints and return Kaplan-Meier survival probabilities together with the specified confidence interval. See Nabipoor M, Westerhout CM, Rathwell S, and Bakal JA (2023) <doi:10.1186/s12874-023-01857-0>.
K-means clustering, hierarchical clustering, and PCA with observational 
    weights and/or variable weights. It also includes the corresponding functions 
    for data nuggets which serve as representative samples of large datasets.
    Cherasia et al., (2022) <doi:10.1007/978-3-031-22687-8_20>. 
    Amaratunga et al., (2009) <doi:10.1002/9780470317129>.
Retrieval the leaf area index (LAI) and soil moisture (SM) from  microwave backscattering data using water cloud model (WCM) model . The WCM algorithm attributed to Pervot et al.(1993) <doi:10.1016/0034-4257(93)90053-Z>. The authors are grateful to SAC, ISRO, Ahmedabad for providing financial support to Dr. Prashant K Srivastava to conduct this research work.
Implements inferential and graphic procedures for the semiparametric proportional 
  means regression of weighted composite endpoint of recurrent event and death (Mao and Lin, 
  2016, <doi:10.1093/biostatistics/kxv050>).
Allows users to create weighted confusion matrices and accuracy
    metrics that help with the model selection process for classification
    problems, where distance from the correct category is important. The
    package includes several weighting schemes which can be parameterized, as
    well as custom configuration options. Furthermore, users can decide
    whether they wish to positively or negatively affect the accuracy score
    as a result of applying weights to the confusion matrix. Functions are
    included to calculate accuracy metrics for imbalanced data. Finally,
    'wconf' integrates well with the 'caret' package, but it can also work
    standalone when provided data in matrix form.
    References:
    Kuhn, M. (2008) "Building Perspective Models in R Using the caret Package"
    <doi:10.18637/jss.v028.i05>
    Monahov, A. (2021) "Model Evaluation with Weighted Threshold Optimization
    (and the mewto R package)" <doi:10.2139/ssrn.3805911>
    Monahov, A. (2024) "Improved Accuracy Metrics for Classification with
    Imbalanced Data and Where Distance from the Truth Matters, with the wconf R
    Package" <doi:10.2139/ssrn.4802336>
    Starovoitov, V., Golub, Y. (2020). New Function for Estimating Imbalanced
    Data Classification Results. Pattern Recognition and Image Analysis, 295–302
    Van de Velden, M., Iodice D'Enza, A., Markos, A., Cavicchia, C. (2023)
    "A general framework for implementing distances for categorical variables"
    <doi:10.48550/arXiv.2301.02190>.
Calculates Pearson, Spearman, polychoric, and polyserial correlation coefficients, in weighted or unweighted form. The package implements tetrachoric correlation as a special case of the polychoric and biserial correlation as a specific case of the polyserial.
A new inverse probability of selection weighted Cox model to deal with outcome-dependent sampling in survival analysis.
Search and download data from over 40 databases hosted by the World Bank, including the World Development Indicators ('WDI'), International Debt Statistics, Doing Business, Human Capital Index, and Sub-national Poverty indicators.
Provides efficient implementations of weighted dependence measures
  and related asymptotic tests for independence. Implemented measures are
  the Pearson correlation, Spearman's rho, Kendall's tau, Blomqvist's beta, and
  Hoeffding's D; see, e.g., Nelsen (2006) <doi:10.1007/0-387-28678-0> and
  Hollander et al. (2015, ISBN:9780470387375).
There are a number of binary files associated with the
    'Webdriver'/'Selenium' project. This package provides functions to download
    these binaries and to manage processes involving them.
Assortativity coefficients, centrality measures, 
    and clustering coefficients for weighted and directed networks.
    Rewiring unweighted networks with given assortativity coefficients.
    Generating general preferential attachment networks.
Functions for finding and pulling data from the
  'Wisconsin Department of Natural Resources ArcGIS REST APIs'
  <https://dnrmaps.wi.gov/arcgis/rest/services> and 
  <https://dnrmaps.wi.gov/arcgis2/rest/services>.
Fetch and clean data from the World Database on Protected
    Areas (WDPA) and the World Database on Other Effective Area-Based
    Conservation Measures (WDOECM). Data is obtained from Protected Planet
    <https://www.protectedplanet.net/en>. To augment data cleaning procedures,
    users can install the 'prepr' R package (available at
    <https://github.com/prioritizr/prepr>). For more information on this
    package, see Hanson (2022) <doi:10.21105/joss.04594>.
Functions are collected to analyse weather data for agriculture 
    purposes including to read weather records in multiple formats, 
    calculate extreme climate index.
Numerous time series admit autoregressive moving average (ARMA)
  representations, in which the errors are uncorrelated but not necessarily
  independent.
  These models are called weak ARMA by opposition to the standard ARMA models, 
  also called strong ARMA models, in which the error terms are supposed to be 
  independent and identically distributed (iid).
  This package allows the study of nonlinear time series models through weak 
  ARMA representations.
  It determines identification, estimation and validation for ARMA models and 
  for AR and MA models in particular. 
  Functions can also be used in the strong case.
  This package also works on white noises by omitting arguments 'p', 'q', 'ar'
  and 'ma'.
  See Francq, C. and Zakoïan, J. (1998) <doi:10.1016/S0378-3758(97)00139-0> and 
  Boubacar Maïnassara, Y. and Saussereau, B. (2018)
  <doi:10.1080/01621459.2017.1380030> for more details.
Package to read Empatica E4 data, perform several transformations, perform signal
    processing and analyses, including batch analyses.
Weather indices represent the overall weekly effect of a weather variable on crop yield throughout the cropping season. This package contains functions that can convert the weekly weather data into yearly weighted Weather indices with weights being the correlation coefficient between weekly weather data over the years and crop yield over the years. This can be done for an individual weather variable and for two weather variables at a time as the interaction effect. This method was first devised by Jain, RC, Agrawal R, and Jha, MP (1980), "Effect of climatic variables on rice yield and its forecast",MAUSAM, 31(4), 591–596, <doi:10.54302/mausam.v31i4.3477>. Later, the method have been used by various researchers and the latest can found in Gupta, AK, Sarkar, KA, Dhakre, DS, & Bhattacharya, D (2022), "Weather Based Potato Yield Modelling using Statistical and Machine Learning Technique",Environment and Ecology, 40(3B), 1444–1449,<https://www.environmentandecology.com/volume-40-2022>.
Functions to convert between weather metrics, including conversions
    for metrics of temperature, air moisture, wind speed, and precipitation.
    This package also includes functions to calculate the heat index from
    air temperature and air moisture.
Provides automated downloading, parsing and formatting of
    weather data for Australia through API endpoints provided by the
    Department of Primary Industries and Regional Development ('DPIRD') of
    Western Australia and by the Science and Technology Division of the
    Queensland Government's Department of Environment and Science ('DES').
    As well as the Bureau of Meteorology ('BOM') of the Australian
    government precis and coastal forecasts, agriculture bulletin data,
    and downloading and importing radar and satellite imagery files.
    'DPIRD' weather data are accessed through public 'APIs' provided by
    'DPIRD', <https://www.agric.wa.gov.au/weather-api-20>, providing
    access to weather station data from the 'DPIRD' weather station
    network.  Australia-wide weather data are based on data from the
    Australian Bureau of Meteorology ('BOM') data and accessed through
    'SILO' (Scientific Information for Land Owners) Jeffrey et al. (2001)
    <doi:10.1016/S1364-8152(01)00008-1>.  'DPIRD' data are made available
    under a Creative Commons Attribution 3.0 Licence (CC BY 3.0 AU)
    license <https://creativecommons.org/licenses/by/3.0/au/deed.en>.
    SILO data are released under a Creative Commons Attribution 4.0
    International licence (CC BY 4.0)
    <https://creativecommons.org/licenses/by/4.0/>. 'BOM' data are (c)
    Australian Government Bureau of Meteorology and released under a
    Creative Commons (CC) Attribution 3.0 licence or Public Access Licence
    ('PAL') as appropriate, see
    <http://www.bom.gov.au/other/copyright.shtml> for further details.
A comprehensive suite of functions for processing,
  analyzing, and visualizing textual data from tweets is offered.  
  Users can clean tweets, analyze their sentiments, visualize data, 
  and examine the correlation between sentiments and environmental 
  data such as weather conditions. Main features include text processing,  
  sentiment analysis, data visualization, correlation analysis, and 
  synthetic data generation. Text processing involves cleaning and preparing  
  tweets by removing textual noise and irrelevant words. Sentiment analysis 
  extracts and accurately analyzes sentiments from tweet texts using advanced 
  algorithms. Data visualization creates various charts like word clouds
  and sentiment polarity graphs for visual representation of data. Correlation 
  analysis examines and calculates the correlation between tweet sentiments 
  and environmental variables such as weather conditions. Additionally, 
  random tweets can be generated for testing and evaluating the performance 
  of analyses, empowering users to effectively analyze and interpret 'Twitter' 
  data for research and commercial purposes.
Provides Apache and IIS log analytics for transaction performance, client populations and workload definitions.
Chemical information from around the web. This package interacts 
    with a suite of web services for chemical information. Sources include: Alan
    Wood's Compendium of Pesticide Common Names, Chemical Identifier Resolver,
    ChEBI, Chemical Translation Service, ChemSpider, ETOX, Flavornet,
    NIST Chemistry WebBook, OPSIN, PubChem, SRS, Wikidata.
An easy-to-use interface for interacting with 'WebDAV' servers,
    including 'OwnCloud'. It simplifies the use of 'WebDAV' methods such as COPY, MKCOL, MOVE, and others. 
    With built-in authentication and request handling, it allows for easy
    management of files and directories over the 'WebDAV' protocol.
Organizational framework for web development in R including functions to  
    serve static and dynamic content via HTTP methods, includes the html5 package to
    create HTML pages, and offers other utility functions for common tasks related 
    to web development.
A client for the 'WebDriver' 'API'. It allows driving a
    (probably headless) web browser, and can be used to test web
    applications, including 'Shiny' apps. In theory it works with any
    'WebDriver' implementation, but it was only tested with 'PhantomJS'.
Functions for easily creating interactive web pages using
    'R Markdown' that students can use in self-guided learning.
Create a web app that makes it easier to test web clients
    without using the internet. It includes a web app framework with path
    matching, parameters and templates. Can parse various 'HTTP' request
    bodies. Can send 'JSON' data or files from the disk. Includes a web
    app that implements the 'httpbin.org' web service.
The web version WebGestalt <https://www.webgestalt.org> supports 12 organisms, 354 gene identifiers and 321,251 function categories. Users can upload the data and functional categories with their own gene identifiers. In addition to the Over-Representation Analysis, WebGestalt also supports Gene Set Enrichment Analysis and Network Topology Analysis. The user-friendly output report allows interactive and efficient exploration of enrichment results. The WebGestaltR package not only supports all above functions but also can be integrated into other pipeline or simultaneously analyze multiple gene lists.
Displays geospatial data on an interactive 3D globe in the web browser.
Creates interactive web maps using the 'JavaScript' 'Leaflet'
    library with base layers of 'The National Map' ('TNM'). 'TNM' services
    provide access to base geospatial information that describes the landscape
    of the United States and its territories. This package is dependent on, and
    intended to be used with, the 'leaflet' package.
Stubbing and setting expectations on 'HTTP' requests.
    Includes tools for stubbing 'HTTP' requests, including expected
    request conditions and response conditions. Match on
    'HTTP' method, query parameters, request body, headers and
    more. Can be used for unit tests or outside of a testing 
    context.
Lossless webp images are 26% smaller in size compared to PNG. Lossy
    webp images are 25-34% smaller in size compared to JPEG. This package reads
    and writes webp images into a 3 (rgb) or 4 (rgba) channel bitmap array using
    conventions from the 'jpeg' and 'png' packages.
This is a collection of tools for conducting both basic and advanced statistical power analysis including correlation, proportion, t-test, one-way ANOVA, two-way ANOVA, linear regression, logistic regression, Poisson regression, mediation analysis, longitudinal data analysis, structural equation modeling and multilevel modeling. It also serves as the engine for conducting power analysis online at <https://webpower.psychstat.org>.
Several analysis-related functions for the book entitled
    "Web-based Analysis without R in Your Computer"(written in Korean, ISBN 978-89-5566-185-9)
    by Keon-Woong Moon. The main function plot.htest() shows the distribution of statistic for
    the object of class 'htest'.
R is used by a vast array of people for a vast array of purposes
    - including web analytics. This package contains functions for consuming and
    munging various common forms of request log, including the Common and Combined
    Web Log formats and various Amazon access logs.
A collection of tools to fit and work with trophic Species Distribution Models. Trophic Species Distribution Models combine knowledge of trophic interactions with Bayesian structural equation models that model each species as a function of its prey (or predators) and environmental conditions. It exploits the topological ordering of the known trophic interaction network to predict species distribution in space and/or time, where the prey (or predator) distribution is unavailable. The method implemented by the package is described in Poggiato, Andréoletti, Pollock and Thuiller (2022) <doi:10.22541/au.166853394.45823739/v1>.
Functions that allow for accessing domains and a number of search engines.
Takes screenshots of web pages, including Shiny applications and R
    Markdown documents.
Takes screenshots of web pages, including Shiny applications
    and R Markdown documents. 'webshot2' uses headless Chrome or Chromium
    as the browser back-end.
Provides a 'WebSocket' client interface for R.
    'WebSocket' is a protocol for low-overhead real-time communication:
    <https://en.wikipedia.org/wiki/WebSocket>.
Data structures and methods to work with web tracking data. The functions cover data preprocessing steps, enriching web tracking data with external information and methods for the analysis of digital behavior as used in several academic papers (e.g., Clemm von Hohenberg et al., 2023 <doi:10.17605/OSF.IO/M3U9P>; Stier et al., 2022 <doi:10.1017/S0003055421001222>).
A Stata-style `webuse()` function for importing named datasets from Stata's online collection.
Parses http request data in application/json, multipart/form-data, 
    or application/x-www-form-urlencoded format. Includes example of hosting
    and parsing html form data in R using either 'httpuv' or 'Rhttpd'.
Provides functions to create factor variables with contrasts based on weighted effect coding, and their interactions. In weighted effect coding the estimates from a first order regression model show the deviations per group from the sample mean. This is especially useful when a researcher has no directional hypotheses and uses a sample from a population in which the number of observation per group is different.
Makes research involving EMDAT and related datasets easier. These Datasets are manually filled and have several formatting and compatibility issues. Weed aims to resolve these with its functions.
Calculates the WEGE (Weighted Endemism including Global 
    Endangerment index) index for a particular area. Additionally it also 
    calculates rasters of KBA's (Key Biodiversity Area) criteria (A1a, A1b, A1e, 
    and B1), Weighted endemism (WE), the EDGE (Evolutionarily Distinct and
    Globally Endangered) score, Evolutionary Distinctiveness (ED) and Extinction
    risk (ER). Farooq, H., Azevedo, J., Belluardo F., Nanvonamuquitxo, C.,
    Bennett, D., Moat, J., Soares, A., Faurby, S. & Antonelli, A. (2020)
    <doi:10.1101/2020.01.17.910299>.
A utility for working with women's basketball data. A scraping and aggregating interface for the WNBA Stats API <https://stats.wnba.com/> and ESPN's <https://www.espn.com> women's college basketball and WNBA statistics. It provides users with the capability to access the game play-by-plays, box scores, standings and results to analyze the data for themselves.
Provides a single function to fit data of an input data frame into one of the selected Weibull functions (w2, w3 and it's truncated versions), calculating the scale, location and shape parameters accordingly. The resulting plots and files are saved into the 'folder' parameter provided by the user. References: a) John C. Nash, Ravi Varadhan (2011). "Unifying Optimization Algorithms to Aid Software System Users: optimx for R" <doi:10.18637/jss.v043.i09>.
Conducts a goodness-of-fit test for the Weibull distribution (referred to as the weibullness test) and furnishes parameter estimations for both the two-parameter and three-parameter Weibull distributions. Notably, the threshold parameter is derived through correlation from the Weibull plot. Additionally, this package conducts goodness-of-fit assessments for the exponential, Gumbel, and inverse Weibull distributions, accompanied by parameter estimations.
  For more details, see Park (2017) <doi:10.23055/ijietap.2017.24.4.2848>, 
  Park (2018) <doi:10.1155/2018/6056975>, and Park (2023) <doi:10.3390/math11143156>. 
  This work was supported by the National Research Foundation of Korea (NRF) grants funded by 
  the Korea government (MSIT) (No. 2022R1A2C1091319, RS-2023-00242528).
Life data analysis in the graphical tradition of Waloddi Weibull. Methods derived from Robert B. Abernethy (2008, ISBN 0-965306-3-2), Wayne Nelson (1982, ISBN: 9780471094586), William Q. Meeker and  Lois A. Escobar (1998, ISBN: 1-471-14328-6), John I. McCool, (2012, ISBN: 9781118217986).
Graphical data analysis of accelerated life tests. Methods derived from  Wayne Nelson (1990, ISBN: 9780471522775), William Q. Meeker and  Lois A. Escobar (1998, ISBN: 1-471-14328-6).
An interactive introduction to Life Data Analysis that depends on 'WeibullR' 
  by David Silkworth and Jurgen Symynck (2022) <https://CRAN.R-project.org/package=WeibullR>, 
  a R package for Weibull Analysis, and 'learnr' by Garrick Aden-Buie et al. (2023) 
  <https://CRAN.R-project.org/package=learnr>, a framework for building interactive learning 
  modules in R.
Build interactive Weibull Probability 
  Plots with 'WeibullR' by David Silkworth and Jurgen Symynck (2022) 
  <https://CRAN.R-project.org/package=WeibullR>, an R package for 
  Weibull analysis, and 'plotly' by Carson Sievert (2020) <https://plotly-r.com>, 
  an interactive web-based graphing library.
A 'Shiny' web application for life data analysis that depends on 'WeibullR' by David Silkworth and Jurgen Symynck (2022) 
  <https://CRAN.R-project.org/package=WeibullR>, an R package for Weibull analysis.
Weighted descriptive statistics is the discipline of quantitatively describing the main features of real-valued fuzzy data which usually given from a fuzzy population. One can summarize this special kind of fuzzy data numerically or graphically using this package. To interpret some of the properties of one or several sets of real-valued fuzzy data, numerically summarize is possible by some weighted statistics which are designed in this package such as mean, variance, covariance and correlation coefficent. Also, graphically interpretation can be given by weighted histogram and weighted scatter plot using this package to describe properties of real-valued fuzzy data set.
Estimates high-dimensional multivariate normal copula regression models with the weighted composite likelihood estimating equations in Nikoloulopoulos (2022) <arXiv:2203.04619>. It provides autoregressive moving average correlation structures and binary, ordinal, Poisson, and negative binomial regressions.
Clusters state sequences and weighted data. It provides an optimized weighted PAM algorithm as well as functions for aggregating replicated cases, computing cluster quality measures for a range of clustering solutions and plotting (fuzzy) clusters of state sequences. Parametric bootstraps methods to validate typology of sequences are also provided. Finally, it provides a fuzzy and crisp CLARA algorithm to cluster large database with sequence analysis.
The weighted ensemble method is a valuable approach for combining forecasts. This algorithm employs several optimization techniques to generate optimized weights. This package has been developed using algorithm of Armstrong (1989) <doi:10.1016/0024-6301(90)90317-W>.
A conditional independence test that can be applied both to
    univariate and multivariate random variables. The test is based on a
    weighted form of the sample covariance of the residuals after a
    nonlinear regression on the conditioning variables. Details are
    described in Scheidegger, Hoerrmann and Buehlmann (2021) "The Weighted
    Generalised Covariance Measure" <arXiv:2111.04361>. The test is a
    generalisation of the Generalised Covariance Measure (GCM) implemented
    in the R package 'GeneralisedCovarianceMeasure' by Jonas Peters and
    Rajen D. Shah based on Shah and Peters (2020) "The Hardness of
    Conditional Independence Testing and the Generalised Covariance
    Measure" <arXiv:1804.07203>.
An implementation of the Weighted Portmanteau Tests described
      in "New Weighted Portmanteau Statistics for Time Series Goodness-of-Fit Testing"
      published by the Journal of the American Statistical Association, Volume 107, 
      Issue 498, pages 777-787, 2012.
Performs a sensitivity analysis using weighted rank tests in observational studies with I blocks of size J; see Rosenbaum (2024) <doi:10.1080/01621459.2023.2221402>.  The package can perform adaptive inference in block designs; see Rosenbaum (2012) <doi:10.1093/biomet/ass032>.  The main functions are wgtRank(), wgtRankCI() and wgtRanktt().
Fast computation of
 Receiver Operating Characteristic (ROC) curves
 and Area Under the Curve (AUC)
 for weighted binary classification problems
 (weights are example-specific cost values).
The weighted scores method and composite likelihood information criteria as an intermediate step for variable/correlation selection for longitudinal ordinal and count data in Nikoloulopoulos, Joe and Chaganty (2011)  <doi:10.1093/biostatistics/kxr005>, Nikoloulopoulos (2016) <doi:10.1002/sim.6871> and Nikoloulopoulos (2017) <arXiv:1510.07376>.
Treemaps are a visually appealing graphical representation of
    numerical data using a space-filling approach. A plane or 'map' is
    subdivided into smaller areas called cells.  The cells in the map are
    scaled according to an underlying metric which allows to grasp the
    hierarchical organization and relative importance of many objects at
    once. This package contains two different implementations of treemaps,
    Voronoi treemaps and Sunburst treemaps.  The Voronoi treemap function
    subdivides the plot area in polygonal cells according to the highest
    hierarchical level, then continues to subdivide those parental cells
    on the next lower hierarchical level, and so on. The Sunburst treemap
    is a computationally less demanding treemap that does not require
    iterative refinement, but simply generates circle sectors that are
    sized according to predefined weights.  The Voronoi tesselation is
    based on functions from Paul Murrell (2012)
    <https://www.stat.auckland.ac.nz/~paul/Reports/VoronoiTreemap/voronoiTreeMap.html>.
Generates balancing weights for causal effect estimation in observational studies with
             binary, multi-category, or continuous point or longitudinal treatments by easing and
             extending the functionality of several R packages and providing in-house estimation methods.
             Available methods include those that rely on parametric modeling, optimization, and machine learning. Also
             allows for assessment of weights and checking of covariate balance by interfacing directly
             with the 'cobalt' package. Methods for estimating weighted regression models that take into account 
             uncertainty in the estimation of the weights via M-estimation or bootstrapping are available. See the vignette "Installing Supporting Packages" for instructions on how
             to install any package 'WeightIt' uses, including those that may not be on CRAN.
Estimation of observation-specific weights for incomplete longitudinal data and bootstrap procedure for weighted quantile regressions. See Jacqmin-Gadda, Rouanet, Mba, Philipps, Dartigues (2020) for details <doi:10.1177/0962280220909986>.
Estimates the Vevea and Hedges (1995)
    weight-function model. By specifying arguments, users can
    also estimate the modified model described in Vevea and Woods (2005), 
    which may be more practical with small datasets. Users 
    can also specify moderators to estimate a linear model. 
    The package functionality allows users to easily extract the 
    results of these analyses as R objects for other uses. In addition, 
    the package includes a function to launch both models as 
    a Shiny application. Although the Shiny application is also available online, 
    this function allows users to launch it locally if they choose.
Provides a variety of functions for producing simple weighted statistics, such as weighted Pearson's correlations, partial correlations, Chi-Squared statistics, histograms, and t-tests.  Also now includes some software for quickly recoding survey data and plotting estimates from interaction terms in regressions (and multiply imputed regressions) both with and without weights. NOTE: Weighted partial correlation calculations pulled to address a bug.
Functions for subject/instance weighted support vector machines (SVM). 
    It uses a modified version of 'libsvm' and is compatible with package 'e1071'. It also allows user defined kernel matrix.
All functions and data sets required for the examples in the book
    Hyndman (2024) "That's Weird: Anomaly Detection Using R" <https://OTexts.com/weird/>.  
    All packages needed to run the examples are also loaded.
Provides computational support for flow over weirs, such as sharp-crested, broad-crested, and embankments. Initially, the package supports broad- and sharp-crested weirs.
Implementation of Johansen's general formulation of Welch-James's statistic with Approximate Degrees of Freedom, which makes it suitable for testing 
    any linear hypothesis concerning cell means in univariate and multivariate mixed model designs when the data pose non-normality and non-homogeneous variance. Some 
    improvements, namely trimmed means and Winsorized variances, and bootstrapping for calculating an empirical critical value, have been added to the classical formulation. 
    The code departs from a previous SAS implementation by L.M. Lix and H.J. Keselman, available at <http://supp.apa.org/psycarticles/supplemental/met_13_2_110/SAS_Program.pdf> and
    published in Keselman, H.J., Wilcox, R.R., and Lix, L.M. (2003) <DOI:10.1111/1469-8986.00060>.
Estimates the standard and weighted Elo (WElo, Angelini et al., 2022 <doi:10.1016/j.ejor.2021.04.011>) rates. The current version provides Elo and WElo rates for tennis, according to different systems of weights (games or sets) and scale factors (constant, proportional to the number of matches, with more weight on Grand Slam matches or matches played on a specific surface). Moreover, the package gives the possibility of estimating the (bootstrap) standard errors for the rates. Finally, the package includes betting functions that automatically select the matches on which place a bet.
Run mixed-effects models that include weights at every level. The WeMix package fits a weighted mixed model, also known as a multilevel, mixed, or hierarchical linear model (HLM). The weights could be inverse selection probabilities, such as those developed for an education survey where schools are sampled probabilistically, and then students inside of those schools are sampled probabilistically. Although mixed-effects models are already available in R, WeMix is unique in implementing methods for mixed models using weights at multiple levels. Both linear and logit models are supported. Models may have up to three levels. Random effects are estimated using the PIRLS algorithm from 'lme4pureR' (Walker and Bates (2013) <https://github.com/lme4/lme4pureR>).
Palettes generated mostly from 'Wes Anderson' movies.
The distributions of the weight of evidence (log Bayes factor) favouring case over noncase status in a test dataset (or test folds generated by cross-validation) can be used to quantify the performance of a diagnostic test (McKeigue (2019), <doi:10.1177/0962280218776989>). The package can be used with any test dataset on which you have observed case-control status and have computed prior and posterior probabilities of case status using a model learned on a training dataset. To quantify how the predictor will behave as a risk stratifier, the quantiles of the distributions of weight of evidence in cases and controls can be calculated and plotted.
A suite of routines for Weyl algebras.  Notation follows
   Coutinho (1995, ISBN 0-521-55119-6, "A Primer of Algebraic
   D-Modules").  Uses 'disordR' discipline
   (Hankin 2022 <doi:10.48550/arXiv.2210.03856>).  To cite
   the package in publications, use Hankin
   2022 <doi:10.48550/arXiv.2212.09230>.
Provides a computationally efficient way of fitting
	     weighted linear fixed effects estimators for causal
	     inference with various weighting schemes. Weighted linear
	     fixed effects estimators can be used to estimate the
	     average treatment effects under different identification
	     strategies. This includes stratified randomized
	     experiments, matching and stratification for
	     observational studies, first differencing, and
	     difference-in-differences. The package implements methods
	     described in Imai and Kim (2017) "When should We Use
	     Linear Fixed Effects Regression Models for Causal
	     Inference with Longitudinal Data?", available at
	     <https://imai.fas.harvard.edu/research/FEmatch.html>.
Implementation of Weighted Fast Greedy algorithm for community detection in networks with mixed types of attributes.
Provides a large English words list and tools to find words by patterns. In particular, anagram finder and scrabble word finder.
Provides a convenient data set, a set of helper functions, and a benchmark function for
    economically (profit) driven wind farm layout optimization. This enables researchers in the field
    of the NP-hard (non-deterministic polynomial-time hard) problem of wind farm layout optimization
    to focus on their optimization methodology contribution and also provides a realistic benchmark
    setting for comparability among contributions. See Croonenbroeck, Carsten & Hennecke, David (2020)
    <doi:10.1016/j.energy.2020.119244>.
A computationally efficient whole genome approach to detecting and estimating significant QTL in linkage maps using the flexible linear mixed modelling functionality of ASReml-R.
Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) <doi:10.2202/1544-6115.1128> and Langfelder and Horvath (2008) <doi:10.1186/1471-2105-9-559>. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.
Provides function, wget_set(), to change the method (default to 'wget -c') using in download.file().
  Using 'wget -c' allowing continued downloading, which is especially useful for slow internet connection and for downloading large files.
  User can run wget_unset() to restore previous setting.
Functions for the analysis of whole-genome sequencing studies to simultaneously detect the existence, and estimate the locations of association signals at genome-wide scale. The functions allow genome-wide association scan, candidate region scan and single window test.
Functions for determining the effect of data weights on the variance of survey data: users will load a data set which has a weights column, and the package will calculate the design effect (DEFF), weighting loss, root design effect (DEFT), effective sample size (ESS), and/or weighted margin of error.
An enhanced implementation of Whittaker-Henderson smoothing for the gradation 
    of one-dimensional and two-dimensional actuarial tables used to quantify Life Insurance risks.
    'WH' is based on the methods described in Biessy (2023) <doi:10.48550/arXiv.2306.06932>.
    Among other features, it generalizes the original smoothing algorithm to maximum likelihood estimation, 
    automatically selects the smoothing parameter(s) and extrapolates beyond the range of data.
Inferences about counterfactuals are essential for prediction,
      answering what if questions, and estimating causal effects.
      However, when the counterfactuals posed are too far from the data at
      hand, conclusions drawn from well-specified statistical analyses
      become based largely on speculation hidden in convenient modeling
      assumptions that few would be willing to defend. Unfortunately,
      standard statistical approaches assume the veracity of the model
      rather than revealing the degree of model-dependence, which makes this
      problem hard to detect. WhatIf offers easy-to-apply methods to
      evaluate counterfactuals that do not require sensitivity testing over
      specified classes of models. If an analysis fails the tests offered
      here, then we know that substantive inferences will be sensitive to at
      least some modeling choices that are not based on empirical evidence,
      no matter what method of inference one chooses to use. WhatIf
      implements the methods for evaluating counterfactuals discussed in
      Gary King and Langche Zeng, 2006, "The Dangers of Extreme
      Counterfactuals," Political Analysis 14 (2) <DOI:10.1093/pan/mpj004>; 
      and Gary King and Langche Zeng, 2007, "When Can History Be Our Guide? The 
      Pitfalls of Counterfactual Inference," International Studies 
      Quarterly 51 (March) <DOI:10.1111/j.1468-2478.2007.00445.x>.
Imports 'WhatsApp' chat logs and parses them into
    a usable dataframe object. The parser works on chats exported 
    from Android or iOS phones and on Linux, macOS and Windows. The parser has  multiple options for extracting smileys and emojis
    from the messages, extracting URLs and domains from the messages, extracting names and types of sent 
    media files from the messages, extracting timestamps from messages, extracting and anonymizing author 
    names from messages. Can be used to create anonymized versions of data.
Use the 'what3words' API 
    <https://developer.what3words.com/public-api> to return three words which 
    uniquely identify every 3m x 3m square on Earth. It is also possible to 
    return coordinates from any valid three words location. Supports multiple 
    languages.
Builds complex plots, heatmaps in particular, using natural semantics. Bigger plots can be assembled using directives such as 'LeftOf', 'RightOf', 'TopOf', and 'Beneath' and more. Other features include clustering, dendrograms and integration with 'ggplot2' generated grid objects. This package is particularly designed for bioinformaticians to assemble complex plots for publication.
In Multidimensional Systems the When dimension allows us to
    express when the analysed facts have occurred. The purpose of this
    package is to provide support for implementing this dimension in the
    form of date and time tables for Relational On-Line Analytical Processing 
    star database systems.
Robust and reliable functions to return informative outputs to 
        console with the run or source location of a command. This can be from
        the  'RScript'/R terminal commands or 'RStudio' console, source editor, 
        'Rmarkdown' document and a Shiny application.
Retrieve geographical information for airports using their IATA or ICAO codes.
Set of tools for manipulating gas exchange data from cardiopulmonary exercise testing.
An R frontend for the 'WhiteboxTools' library, which is an advanced geospatial data analysis platform developed by Prof. John Lindsay at the University of Guelph's Geomorphometry and Hydrogeomatics Research Group. 'WhiteboxTools' can be used to perform common geographical information systems (GIS) analysis operations, such as cost-distance analysis, distance buffering, and raster reclassification. Remote sensing and image processing tasks include image enhancement (e.g. panchromatic sharpening, contrast adjustments), image mosaicing, numerous filtering operations, simple classification (k-means), and common image transformations. 'WhiteboxTools' also contains advanced tooling for spatial hydrological analysis (e.g. flow-accumulation, watershed delineation, stream network analysis, sink removal), terrain analysis (e.g. common terrain indices such as slope, curvatures, wetness index, hillshading; hypsometric analysis; multi-scale topographic position analysis), and LiDAR data processing. Suggested citation: Lindsay (2016) <doi:10.1016/j.cageo.2016.07.003>.
Provides a set of functions to make tracking the hidden movements 
  of the 'Jack' player easier. By tracking every possible path Jack might have 
  traveled from the point of the initial murder including special movement such 
  as through alleyways and via carriages, the police can more accurately narrow 
  the field of their search. Additionally, by tracking all possible hideouts from 
  round to round, rounds 3 and 4 should have a vastly reduced field of search.
A collection of functions related to novel methods for estimating R(t), 
  created by the lab of Professor Laura White. Currently implemented methods include 
  two-step Bayesian back-calculation and now-casting for line-list data with missing reporting delays, 
  adapted in 'STAN' from Li (2021) <doi:10.1371/journal.pcbi.1009210>, 
  and calculation of time-varying reproduction number assuming a flux between various adjacent states, adapted into 'STAN' from 
  Zhou (2021) <doi:10.1371/journal.pcbi.1010434>.
Implements the whitening methods (ZCA, PCA, Cholesky,
 ZCA-cor, and PCA-cor) discussed in Kessy, Lewin, and Strimmer (2018)
 "Optimal whitening and decorrelation", <doi:10.1080/00031305.2016.1277159>,
 as well as the whitening approach to canonical correlation analysis allowing
 negative canonical correlations described in Jendoubi and Strimmer (2019)
 "A whitening approach to probabilistic canonical correlation analysis for omics
 data integration", <doi:10.1186/s12859-018-2572-9>. The package also offers
 functions to simulate random orthogonal matrices, compute (correlation) loadings
 and explained variation. It also contains four example data sets (extended UCI 
 wine data, TCGA LUSC data, nutrimouse data, extended pitprops data).
Formal implementation of White test of heteroskedasticity and a bootstrapped version of it, developed under the methodology of Jeong, J., Lee, K. (1999) <https://yonsei.pure.elsevier.com/en/publications/bootstrapped-whites-test-for-heteroskedasticity-in-regression-mod>.
Shinohara (2014) <doi:10.1016/j.nicl.2014.08.008>
    introduced 'WhiteStripe', an intensity-based normalization of T1 
    and T2 images, where normal 
    appearing white matter performs well, but requires segmentation.
    This method performs white matter mean and standard deviation
    estimates on data that has been rigidly-registered to the 'MNI'
    template and uses histogram-based methods.
Provides methods for retrieving United States Geological Survey (USGS) water data using sequential and parallel processing (Bengtsson, 2022 <doi:10.32614/RJ-2021-048>). In addition to parallel methods, data wrangling and additional statistical attributes are provided.
This is a small, lightweight package that lets users investigate the distribution of genotypes in genotype-by-sequencing (GBS) data where they expect (by and large) Hardy-Weinberg equilibrium, in order to assess rates of genotyping errors and the dependence of those rates on read depth.  It implements a Markov chain Monte Carlo (MCMC) sampler using 'Rcpp' to compute a Bayesian estimate of what we call the heterozygote miscall rate for restriction-associated digest (RAD) sequencing data and other types of reduced representation GBS data. It also provides functions to generate plots of expected and observed genotype frequencies. Some background on these topics can be found in a recent paper "Recent advances in conservation and population genomics data analysis" by Hendricks et al. (2018) <doi:10.1111/eva.12659>, and another paper describing the MCMC approach is in preparation with Gordon Luikart and Thierry Gosselin.
Look up the username and full name of the current user,
    the current user's email address and 'GitHub' username,
    using various sources of system and configuration information.
The Model Disability Survey (MDS) <https://www.who.int/activities/collection-of-data-on-disability> is a World Health Organization (WHO) general population survey
    instrument to assess the distribution of disability within a country or 
    region, grounded in the International Classification of Functioning, 
    Disability and Health <https://www.who.int/standards/classifications/international-classification-of-functioning-disability-and-health>. This package provides fit-for-purpose functions 
    for calculating and presenting the results from this survey, as used by 
    the WHO. The package primarily provides functions for implementing
    Rasch Analysis (see Andrich (2011) <doi:10.1586/erp.11.59>) to
    calculate a metric scale for disability.
Interactive tools for generating random samples. Users select an
    .xlsx, .csv, or delimited .txt file with population data and are walked through selecting the
    sample type (Simple Random Sample or Stratified), the number of backups
    desired, and a "stratify_on" value (if desired). The sample size is determined
    using a normal approximation to the hypergeometric distribution based on
    Nicholson (1956) <doi:10.1214/aoms/1177728270>. An .xlsx file is created
    with the sample and key metadata for reference. It is menu-driven and lets
    users pick an output directory. See vignettes for a detailed walk-through.
Computationally easy modeling, interpolation, forecasting of massive temporal-spacial data.
Provides two functions 'frameableWidget()', and 'frameWidget()'.
  The 'frameableWidget()' is used to add extra code to a 'htmlwidget' which
  allows is to be rendered correctly inside a responsive 'iframe'.
  The 'frameWidget()' is a 'htmlwidget' which displays content of another 'htmlwidget'
  inside a responsive 'iframe'.
  These functions allow for easier embedding of 'htmlwidgets' in content management systems
  such as 'wordpress', 'blogger' etc.
  They also allow for separation of widget content from main HTML content where
  CSS of the main HTML could interfere with the widget.
Encapsulates the pattern of untidying data into a wide
    matrix, performing some processing, then turning it back into a tidy
    form. This is useful for several operations such as co-occurrence
    counts, correlations, or clustering that are mathematically convenient
    on wide matrices.
Retrieve and import data from different databases of the Federal Statistical Office of Germany (DESTATIS) using their SOAP XML web service <https://www-genesis.destatis.de/>.
The german Wikibook "GNU R" introduces R to new users. This package is a collection of functions and datas used in the german WikiBook "GNU R".
An API client for the 'Wikidata Query Service'
    <https://query.wikidata.org/>.
Read from, interogate, and write to Wikidata <https://www.wikidata.org> -
    the multilingual, interdisciplinary, semantic knowledgebase. Includes functions to:
    read from wikidata (single items, properties, or properties); query wikidata (retrieving
    all items that match a set of criterial via Wikidata SPARQL query service); write to
    Wikidata (adding new items or statements via QuickStatements); and handle and manipulate
    Wikidata objects (as lists and tibbles). Uses the Wikidata and Quickstatements APIs.
Query Wikidata and get facts from current and historic Wikipedia main pages.
Scrape lake metadata tables from Wikipedia <https://www.wikipedia.org/>.
A wrapper for the MediaWiki API, aimed particularly at the
    Wikimedia 'production' wikis, such as Wikipedia. It can be used to retrieve
    page text, information about users or the history of pages, and elements of
    the category tree.
Queries online 'WikiPathway' graphics and allows mapping user data (e.g., expression values) on the graph. The package designs a grammar of graphic syntax that using pipe operator to add graphic layer.
'Taxonomic' information from 'Wikipedia', 'Wikicommons',
    'Wikispecies', and 'Wikidata'. Functions included for getting
    taxonomic information from each of the sources just listed, as
    well performing taxonomic search.
A set of wrappers intended to check, read and download information from the Wikimedia sources. It is specifically created to work with names of celebrities, in which case their information and statistics can be downloaded. Additionally, it also builds links and snippets to use in combination with the function gallery() in netCoin package.
Access 'Wikipedia' through the several 'MediaWiki' APIs
    (<https://www.mediawiki.org/wiki/API>), as well as through the
    'XTools' API (<https://www.mediawiki.org/wiki/XTools/API>). Ensure
    your API calls are correct, and receive results in tidy tibbles.
An implementation of the 1-Sample Wilcoxon Sign rank test for medians. 
              It includes 2 functions, W_stat(), which computes the 
              exact probabilities of the Wilcoxon Sign Rank Test Statistic, W.
              The second function, Wilcox.m.test() allows the user to conduct the
              1-Sample Wilcoxon Sign Rank hypothesis test for medians, this also 
              allows the user to conduct the hypothesis test for the normal approximation, 
              based on the techniques of Bickel and Doksum (1973, ISBN:013850363X).
Dynamic interaction refers to spatial-temporal associations in the movements of two (or more) animals. This package provides tools for calculating a suite of indices used for quantifying dynamic interaction with wildlife telemetry data. For more information on each of the methods employed see the references within. The package (as of version >= 0.3) also has new tools for automating contact analysis in large tracking datasets. The package (as of version 1.0) uses the 'move2' class of objects for working with tracking dataset.
Conducts single coefficient tests and multiple-contrast hypothesis tests of meta-regression models using cluster wild bootstrapping, based on methods examined in Joshi, Pustejovsky, and Beretvas (2022) <DOI:10.1002/jrsm.1554>.
Provides insight into how the best hand for a poker game changes based on the game dealt, players who stay in until the showdown and wildcards added to the base game.  At this time the package does not support player tactics, so draw poker variants are not included.
Tool-set of modules for creating web-based applications that use plot based strategies to visualize and analyze multi-omics data.
    This package utilizes the 'shiny' and 'plotly' frameworks to provide a user friendly dashboard for interactive plotting.
Obtain the native stack trace and fuse it with R's
    stack trace for easier debugging of R packages with native code.
Post-construction fatality monitoring studies at wind facilities are based on data from searches for bird and bat carcasses in plots beneath turbines. Bird and bat carcasses can fall outside of the search plot. Bird and bat carcasses from wind turbines often fall outside of the searched area. To compensate, area correction (AC) estimations are calculated to estimate the percentage of fatalities that fall within the searched area versus those that fall outside of it. This package provides two likelihood based methods and one physics based method (Hull and Muir (2010) <doi:10.1080/14486563.2010.9725253>, Huso and Dalthorp (2014) <doi:10.1002/jwmg.663>) to estimate the carcass fall distribution. There are also functions for calculating the proportion of area searched within one unit annuli, log logistic distribution functions, and truncated distribution functions.
Provides a tool to fit and compare the wind turbine power curves 
    with successful curve fitting techniques. Facilitates to examine and compare 
    the performance of a user-defined power curve fitting techniques. 
    Also, provide features to generate power curve discrete points from a graphical 
    power curves. Data on the power curves of the wind turbine from major 
    manufacturers are provided.
Analysing convergent evolution using the Wheatsheaf index, described in Arbuckle et al. (2014) <doi: 10.1111/2041-210X.12195>, and some other unrelated but perhaps useful functions.
Evaluation of prediction performance of smaller regions of
    spectra for Chemometrics. Segmentation of spectra, evolving dimensions
    regions and sliding windows as selection methods. Election of the best
    model among those computed based on error metrics. Chen et al.(2017)
    <doi:10.1007/s00216-017-0218-9>.
Collect multichannel marketing data from sources such as Google analytics, Facebook Ads, and many others using the 'Windsor.ai' API <https://www.windsor.ai/api-fields/>.
Computes inequality measures of a given variable taking into account weights. Suitable for ratio, interval and ordered scale. Includes Gini, Theil, Leti index, Palma ratio, 20:20 ratio, Allison and Foster index, Jenkins index, Cowell and Flechaire index, Abul Naga and Yalcin index, Apouey index, Blair and Lacy index. Bootstrap provides distribution of inequality measures enabling significance tests.
Obtain information on peak flow data from the National River Flow Archive (NRFA) in the United Kingdom, either from the Peak Flow Dataset files <https://nrfa.ceh.ac.uk/peak-flow-dataset> once these have been downloaded to the user's computer or using the NRFA's API. These files are in a format suitable for direct use in the 'WINFAP' software, hence the name of the package.
Generate continuous maps of genetic diversity using moving windows with options for rarefaction, interpolation, and masking as described in Bishop et al. (2023) <doi:10.1111/2041-210X.14090>.
Using a time-varying random parameters model developed in
    Koutchade et al., (2024) <https://hal.science/hal-04318163>, this
    package allows allocating variable input costs among crops produced by
    farmers based on panel data including information on input expenditure
    aggregated at the farm level and acreage shares. It also considers in
    fairly way the weighting data and can allow integrating time-varying
    and time-constant control variables.
A multi-visit clinical trial may collect participant responses on an ordinal scale and may utilize a stratified design, such as randomization within centers, to assess treatment efficacy across multiple visits. Baseline characteristics may be strongly associated with the outcome, and adjustment for them can improve power. The win ratio (ignores ties) and the win odds (accounts for ties) can be useful when analyzing these types of data from randomized controlled trials. This package provides straightforward functions for adjustment of the win ratio and win odds for stratification and baseline covariates, facilitating the comparison of test and control treatments in multi-visit clinical trials. For additional information concerning the methodologies and applied examples within this package, please refer to the following publications:
	1. Weideman, A.M.K., Kowalewski, E.K., & Koch, G.G. (2024). “Randomization-based covariance adjustment of win ratios and win odds for 	randomized multi-visit studies with ordinal outcomes.” Journal of Statistical Research, 58(1), 33–48. <doi:10.3329/jsr.v58i1.75411>.
	2. Kowalewski, E.K., Weideman, A.M.K., & Koch, G.G. (2023). “SAS macro for randomization-based methods for covariance and stratified adjustment 	of win ratios and win odds for ordinal outcomes.” SESUG 2023 Proceedings, Paper 139-2023.
Calculate the win ratio for prioritized outcomes and the 95% confidence interval based on Bebu and Lachin (2016) <doi:10.1093/biostatistics/kxv032>. Three type of outcomes can be analyzed: survival "failure-time" events, repeated survival "failure-time" events and continuous or ordinal "non-failure time" events that are captured at specific time-points in the study.
Calculate the win statistics (win ratio, net benefit and win odds) for prioritized multiple endpoints, plot the win statistics and win proportions over study time if at least one time-to-event endpoint is analyzed, and simulate datasets with dependent endpoints. The package can handle any type of outcomes (continuous, ordinal, binary, time-to-event) and allow users to perform stratified analysis, inverse probability of censoring weighting (IPCW) and inverse probability of treatment weighting (IPTW) analysis.
Performs an analysis of time-to-event clinical trial data using various "win time" methods, 
  including 'ewt', 'ewtr', 'rmt', 'max', 'wtr', 'rwtr', and 'pwt'. These methods are used to calculate and compare 
  treatment effects on ordered composite endpoints. The package handles event times, event indicators, and treatment 
  arm indicators and supports calculations on observed and resampled data. Detailed explanations of each method and 
  usage examples are provided in "Use of win time for ordered composite endpoints in clinical trials," by Troendle et al. 
  (2024)<https://pubmed.ncbi.nlm.nih.gov/38417455/>. For more information, see the package documentation or the vignette titled "Introduction to wintime."
Provides simple, fast functions for maximum likelihood and Bayesian estimates of wildlife population parameters, suitable for use with simulated data or bootstraps. Early versions were indeed quick and dirty, but optional error-checking routines and meaningful error messages have been added. Includes single and multi-season occupancy, closed capture population estimation, survival, species richness and distance measures.
In the course of a genome-wide association study, the situation often arises that some phenotypes are known with greater precision than others.
    It could be that some individuals are known to harbor more micro-environmental variance than others.
    In the case of inbred strains of model organisms, it could be the case that more organisms were observed from some strains than others, so the strains with more organisms have better-estimated means.
    Package 'wISAM' handles this situation by allowing for weighting of each observation according to residual variance.
    Specifically, the 'weight' parameter to the function conduct_scan() takes the precision of each observation (one over the variance).
Provides functions for computing moments and coefficients related to the Beta-Wishart and Inverse Beta-Wishart distributions. 
    It includes functions for calculating the expectation of matrix-valued functions of the Beta-Wishart distribution, 
    coefficient matrices C_k and H_k, expectation of matrix-valued functions of the inverse Beta-Wishart distribution, 
    and coefficient matrices \tilde{C}_k and \tilde{H}_k. For more details, refer Hillier and Kan (2024) <https://www-2.rotman.utoronto.ca/~kan/papers/wishmom.pdf>, 
    "On the Expectations of Equivariant Matrix-valued Functions of Wishart and Inverse Wishart Matrices".
Adds ... to a function's argument list so that it can
    tolerate non-matching arguments.
Lets you temporarily execute an expression or a local block with a different here() root in the 'here' package. This is useful for sourcing code in other projects which expect the root directory of here() to be the project directory of those projects. This may be the case with git submodules for example.
A set of functions to run code 'with' safely and temporarily
    modified global state. Many of these functions were originally a part
    of the 'devtools' package, this provides a simple package with limited
    dependencies to provide access to these functions.
Provides a minimal R and C++ API for parsing
  well-known binary and well-known text representation of
  geometries to and from R-native formats.
  Well-known binary is compact
  and fast to parse; well-known text is human-readable
  and is useful for writing tests. These formats are
  useful in R only if the information they contain can be
  accessed in R, for which high-performance functions
  are provided here.
Utility functions to convert between the 'Spatial' classes
  specified by the package 'sp', and the well-known binary '(WKB)'
  representation for geometry specified by the 'Open Geospatial Consortium'.
  Supports 'Spatial' objects of class 'SpatialPoints',
  'SpatialPointsDataFrame', 'SpatialLines', 'SpatialLinesDataFrame',
  'SpatialPolygons', and 'SpatialPolygonsDataFrame'. Supports 'WKB' geometry
  types 'Point', 'LineString', 'Polygon', 'MultiPoint', 'MultiLineString', and
  'MultiPolygon'. Includes extensions to enable creation of maps with
  'TIBCO Spotfire'.
Converts weekly data to monthly data.
     Users can use three types of week formats: ISO week, epidemiology week (epi week) and calendar date.
Provides extra utilities for well-known formats in the
  'wk' package that are outside the scope of that package. Utilities
  to parse coordinates from data frames, plot well-known geometry
  vectors, extract meta information from well-known geometry vectors,
  and calculate bounding boxes are provided.
It proposes a novel variable selection approach in classification problem that takes into account the correlations that may exist between the predictors of the design matrix in a high-dimensional logistic model. Our approach consists in rewriting the initial high-dimensional logistic model to remove the correlation between the predictors and in applying the generalized Lasso criterion.
Use various regression models for the analysis of win loss endpoints 
             adjusting for non-binary and multivariate covariates.
Implementation of integrative weighting approaches for multiple observational studies and causal inferences. The package features three weighting approaches, each representing a special case of the unified weighting framework, introduced by Guha and Li (2024) <doi:10.1093/biomtc/ujae070>, which includes an extension of inverse probability weights for data integration settings.
Calculate magnetic field at a given location and time according to 
  the World Magnetic Model (WMM). Both the main field and secular variation 
  components are returned. This functionality is useful for physicists and 
  geophysicists who need orthogonal components from WMM. Currently, this package 
  supports annualized time inputs between 2000 and 2025. If desired, users can
  specify which WMM version to use, e.g., the original WMM2015 release or the 
  recent out-of-cycle WMM2015 release. Methods used to implement WMM, including 
  the Gauss coefficients for each release, are described in the following 
  publications: Chulliat et al (2020) <doi:10.25923/ytk1-yx35>,
  Chulliat et al (2019) <doi:10.25921/xhr3-0t19>, 
  Chulliat et al (2015) <doi:10.7289/V5TB14V7>, 
  Maus et al (2010) <https://www.ngdc.noaa.gov/geomag/WMM/data/WMMReports/WMM2010_Report.pdf>, 
  McLean et al (2004) <https://www.ngdc.noaa.gov/geomag/WMM/data/WMMReports/TRWMM_2005.pdf>,
  and Macmillian et al (2000) <https://www.ngdc.noaa.gov/geomag/WMM/data/WMMReports/wmm2000.pdf>.
Performs Wilcoxon-Mann-Whitney test in the presence of missing data with controlled Type I error regardless of the values of missing data.
Power calculator for the two-sample Wilcoxon-Mann-Whitney rank-sum test for a continuous outcome (Mollan, Trumble, Reifeis et. al., Mar. 2020) <doi:10.1080/10543406.2020.1730866> <arXiv:1901.04597>, (Mann and Whitney 1947) <doi:10.1214/aoms/1177730491>, (Shieh, Jan, and Randles 2006) <doi:10.1080/10485250500473099>.
This is a set of minimization tools (maximum likelihood estimation and least square fitting) to solve examples in the Johan Gabrielsson and Dan Weiner's book "Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications" 5th ed. (ISBN:9198299107). Examples include linear and nonlinear compartmental model, turn-over model, single or multiple dosing bolus/infusion/oral models, allometry, toxicokinetics, reversible metabolism, in-vitro/in-vivo extrapolation, enterohepatic circulation, metabolite modeling, Emax model, inhibitory model, tolerance model, oscillating response model, enantiomer interaction model, effect compartment model, drug-drug interaction model, receptor occupancy model, and rebound phenomena model.
New tools for the imputation of missing values in high-dimensional
    data are introduced using the non-parametric nearest neighbor methods. It
    includes weighted nearest neighbor imputation methods that use specific
    distances for selected variables. It includes an automatic procedure of cross
    validation and does not require prespecified values of the tuning parameters.
    It can be used to impute missing values in high-dimensional data when the sample
    size is smaller than the number of predictors. For more information see Faisal
    and Tutz (2017) <doi:10.1515/sagmb-2015-0098>.
Estimates Poole and Rosenthal's (1985 <doi:10.2307/2111172>, 1991 <doi:10.2307/2111445>)
	W-NOMINATE scores from roll call votes supplied though a 'rollcall'
	object from the 'pscl' package.
Implements the Whale Optimization Algorithm(WOA) for k-medoids clustering, providing tools for effective and efficient cluster analysis in various data sets. The methodology is based on "The Whale Optimization Algorithm" by Mirjalili and Lewis (2016) <doi:10.1016/j.advengsoft.2016.01.008>.
Descriptive statistics for large data tend to be low resolution on the tails. 
    Whisker Odds generate a table of descriptive statistics for large data. This is the same as
    letter-values, but with an alternative naming of depths which allow for depths beyond 26. For 
    a reference to letter-values see 'Heike Hofmann' and 'Hadley Wickham' and 'Karen Kafadar' (2017) <doi:10.1080/10618600.2017.1305277>.
Shows the relationship between an independent and dependent variable through Weight of Evidence and Information Value.
Implements an automated binning of numeric variables and factors with
 respect to a dichotomous target variable.
 Two approaches are provided: An implementation of fine and coarse classing that
 merges granular classes and levels step by step. And a tree-like approach that
 iteratively segments the initial bins via binary splits. Both procedures merge,
 respectively split, bins based on similar weight of evidence (WOE) values and
 stop via an information value (IV) based criteria.
 The package can be used with single variables or an entire data frame. It provides
 flexible tools for exploring different binning solutions and for deploying them to
 (new) data.
Implements a spatiotemporal boundary detection model with a dissimilarity
    metric for areal data with inference in a Bayesian setting using Markov chain
    Monte Carlo (MCMC). The response variable can be modeled as Gaussian (no nugget),
    probit or Tobit link and spatial correlation is introduced at each time point
    through a conditional autoregressive (CAR) prior. Temporal correlation is introduced
    through a hierarchical structure and can be specified as exponential or first-order
    autoregressive. Full details of the package can be found in the accompanying vignette.
    Furthermore, the details of the package can be found in "Diagnosing Glaucoma 
    Progression with Visual Field Data Using a Spatiotemporal Boundary Detection Method", 
    by Berchuck et al (2018), <arXiv:1805.11636>. The paper is in press at the Journal of 
    the American Statistical Association.
A hierarchy of classes and methods for manipulating matrices formed implicitly from the sums of the inverses of other matrices, a situation commonly encountered in spatial statistics and related fields. Enables easy use of the Woodbury matrix identity and the matrix determinant lemma to allow computation (e.g., solving linear systems) without having to form the actual matrix. More information on the underlying linear algebra can be found in Harville, D. A. (1997) <doi:10.1007/b98818>.
Tools for generating simulated sawn timber
    strength grading data with a main focus on statistical simulation based on
    covariance matrices. Simulation data
    for Norway spruce sawn timber from Austria and reference values of means and
    standard deviations of grade determining properties from literature
    for a number of European countries are provided, as well.
Monetary valuation of wood in German forests
             (stumpage values), including estimations of harvest quantities, 
             wood revenues, and harvest costs. The functions are sensitive to
             tree species, mean diameter of the harvested trees, stand quality,
             and logging method. The functions include estimations for the
             consequences of disturbances on revenues and costs. The underlying
             assortment tables are taken from Offer and Staupendahl (2018) with
             corresponding functions for salable and skidded volume derived in
             Fuchs et al. (2023). Wood revenue and harvest cost
             functions were taken from v. Bodelschwingh (2018). The consequences
             of disturbances refer to Dieter (2001), Moellmann and Moehring
             (2017), and Fuchs et al. (2022a, 2022b). For the full references 
             see documentation of the functions, package README, and Fuchs et
             al. (2023). Apart from Dieter (2001) and Moellmann and
             Moehring (2017), all functions and factors are based on data from
             HessenForst, the forest administration of the Federal State of
             Hesse in Germany.
Students learning both econometrics and R may find the introduction 
    to both challenging. The wooldridge data package aims to lighten the task by efficiently 
    loading any data set found in the text with a single command. Data sets have been 
    compressed to a fraction of their original size. Documentation files contain page numbers, 
    the original source, time of publication, and notes from the author suggesting avenues for 
    further analysis and research. If one needs an introduction to R model syntax, a 
    vignette contains solutions to examples from chapters of the text. 
    Data sets are from the 7th edition (Wooldridge 2020, ISBN-13 978-1-337-55886-0), 
    and are backwards compatible with all previous versions of the text.
Create reproducible and transparent research projects in 'R'.
    This package is based on the Workflow for Open
    Reproducible Code in Science (WORCS), a step-by-step procedure based on best
    practices for
    Open Science. It includes an 'RStudio' project template, several
    convenience functions, and all dependencies required to make your project
    reproducible and transparent. WORCS is explained in the tutorial paper
    by Van Lissa, Brandmaier, Brinkman, Lamprecht, Struiksma, & Vreede (2021).
    <doi:10.3233/DS-210031>.
For a given Sentence-Aligned Parallel Corpus, it aligns words for each sentence pair. It considers one-to-many and symmetrization alignments. Moreover, it evaluates the quality of word alignment based on this package and some other software. It also builds an automatic dictionary of two languages based on given parallel corpus.
Learn vector representations of words by continuous bag of words and skip-gram implementations of the 'word2vec' algorithm. 
    The techniques are detailed in the paper "Distributed Representations of Words and Phrases and their Compositionality" by Mikolov et al. (2013), available at <arXiv:1310.4546>.
Functionality to create pretty word clouds, visualize differences and similarity between documents, and avoid over-plotting in scatter plots with text.
A fast visualization tool for creating wordcloud
    by using 'wordcloud2.js'. 'wordcloud2.js' is a JavaScript library to create 
    wordle presentation on 2D canvas or HTML <https://timdream.org/wordcloud2.js/>.
The 'Wordle' game. Players have six attempts to guess a 
    five-letter word. After each guess, the player is informed which 
    letters in their guess are either: anywhere in the word; in the right 
    position in the word. This can be used to inform the next guess. Can be 
    played interactively in the console, or programmatically. Based on Josh 
    Wardle's game <https://www.powerlanguage.co.uk/wordle/>.
Application to estimate statistical values using properties provided by a group of individuals to describe
  concepts using 'shiny'. It estimates the underlying distribution to generate new descriptive words
  Canessa et al. (2023) <doi:10.3758/s13428-022-01811-w>, applies a new clustering model, and uses simulations to estimate 
  the probability that two persons describe the same words based on their descriptions
  Canessa et al. (2022) <doi:10.3758/s13428-022-02030-z>.
Extract features and classify documents with noisy labels given by document-meta data or keyword matching Watanabe & Zhou (2020) <doi:10.1177/0894439320907027>.
An interface to WordNet using the Jawbone Java API to WordNet.
  WordNet (<https://wordnet.princeton.edu/>) is a large lexical database of
  English.  Nouns, verbs, adjectives and adverbs are grouped into sets of
  cognitive synonyms (synsets), each expressing a distinct concept.  Synsets
  are interlinked by means of conceptual-semantic and lexical relations.
  Please note that WordNet(R) is a registered tradename.  Princeton
  University makes WordNet available to research and commercial users
  free of charge provided the terms of their license
  (<https://wordnet.princeton.edu/license-and-commercial-use>) are followed,
  and proper reference is made to the project using an appropriate
  citation (<https://wordnet.princeton.edu/citing-wordnet>).
  The WordNet database files need to be made available separately,
  either via package 'wordnetDicts' from <https://datacube.wu.ac.at>,
  installing system packages where available, or direct download from
  <https://wordnetcode.princeton.edu/3.0/WNdb-3.0.tar.gz>.
Methods for estimating profit, profit-maximizing price, demand and consumer surplus of Word-of-Mouth-campaigns on mean-field networks.
Apply 'Wordpiece' (<arXiv:1609.08144>) tokenization to input text, 
 given an appropriate vocabulary. The 'BERT' (<arXiv:1810.04805>) tokenization 
 conventions are used by default.
Provides data to be used by the wordpiece algorithm in order to 
    tokenize text into somewhat meaningful chunks. Included vocabularies were 
    retrieved from 
    <https://huggingface.co/bert-base-cased/resolve/main/vocab.txt> and 
    <https://huggingface.co/bert-base-uncased/resolve/main/vocab.txt> and parsed
    into an R-friendly format.
Collects several classical word pools used most often
    to provide lists of words in psychological studies of learning and memory. It
    provides a simple function, 'pickList' for selecting random samples of words
    within given ranges.
A framework for developing n-gram models for text prediction.
    It provides data cleaning, data sampling, extracting tokens from text,
    model generation, model evaluation and word prediction. For information on how n-gram models 
    work we referred to: "Speech and Language Processing"
    <https://web.archive.org/web/20240919222934/https%3A%2F%2Fweb.stanford.edu%2F~jurafsky%2Fslp3%2F3.pdf>. For optimizing R code and
    using R6 classes we referred to "Advanced R" 
    <https://adv-r.hadley.nz/r6.html>. For writing R extensions we referred to 
    "R Packages", <https://r-pkgs.org/index.html>.
The word puzzle game requires you to find out the letters in a word within a limited number of guesses. In each round, if your guess hit any letters in the word, they reveal themselves. If all letters are revealed before your guesses run out, you win this game; otherwise you fail. You may run multiple games to guess different words.
Serves for rendering MS Word documents with R inline code and inserting tables and plots.
List of english scrabble words as listed in the OTCWL2014
    <https://www.scrabbleplayers.org/w/Official_Tournament_and_Club_Word_List_2014_Edition>.
    Words are collated from the 'Word Game Dictionary' <https://www.wordgamedictionary.com/word-lists/>.
Provides access to various word embedding methods (GloVe, 
    fasttext and word2vec) to extract word vectors using a unified framework to
    increase reproducibility and correctness.
An interactive laboratory for research on distributional semantic models ('DSM',
             see <https://en.wikipedia.org/wiki/Distributional_semantics> for more information).
Provides a workflow for your analysis projects by combining
  literate programming ('knitr' and 'rmarkdown') and version control
  ('Git', via 'git2r') to generate a website containing time-stamped,
  versioned, and documented results.
Managing both a 'parsnip' model and a preprocessor, such as a
    model formula or recipe from 'recipes', can often be challenging. The
    goal of 'workflows' is to streamline this process by bundling the
    model alongside the preprocessor, all within the same object.
A workflow is a combination of a model and preprocessors
    (e.g, a formula, recipe, etc.) (Kuhn and Silge (2021)
    <https://www.tmwr.org/>). In order to try different combinations of
    these, an object can be created that contains many workflows. There
    are functions to create workflows en masse as well as training them
    and visualizing the results.
Functions for the import, transformation, and analysis of data 
    from muscle physiology experiments. The work loop technique is used to 
    evaluate the mechanical work and power output of muscle. Josephson (1985) 
    <doi:10.1242/jeb.114.1.493> modernized the technique for
    application in comparative biomechanics. Although our initial motivation 
    was to provide functions to analyze work loop experiment data, as we 
    developed the package we incorporated the ability to analyze data from 
    experiments that are often complementary to work loops. There are currently 
    three supported experiment types: work loops, simple twitches, and tetanus 
    trials. Data can be imported directly from .ddf files or via an object 
    constructor function. Through either method, data can then be cleaned or 
    transformed via methods typically used in studies of muscle physiology. 
    Data can then be analyzed to determine the timing and magnitude of force 
    development and relaxation (for isometric trials) or the magnitude of work, 
    net power, and instantaneous power among other things (for work loops). 
    Although we do not provide plotting functions, all resultant objects are 
    designed to be friendly to visualization via either base-R plotting or 
    'tidyverse' functions.
 This package has been peer-reviewed by rOpenSci (v. 1.1.0).
Download and search data from the 'World Bank Indicators
    API', which provides access to nearly 16,000 time series indicators.
    See
    <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation>
    for further details about the API.
World Flora Online is an online flora of all known plants, available from <https://www.worldfloraonline.org/>. Methods are provided of matching a list of plant names (scientific names, taxonomic names, botanical names) against a static copy of the World Flora Online Taxonomic Backbone data that can be downloaded from the World Flora Online website. The World Flora Online Taxonomic Backbone is an updated version of The Plant List (<http://www.theplantlist.org/>), a working list of plant names that has become static since 2013.
Allow users to obtain clean and tidy
    football (soccer) game, team and player data. Data is collected from a
    number of popular sites, including 'FBref',
    transfer and valuations data from
    'Transfermarkt'<https://www.transfermarkt.com/> and shooting location
    and other match stats data from 'Understat'<https://understat.com/>
    and 'fotmob'<https://www.fotmob.com/>. It gives users the
    ability to access data more efficiently, rather than having to export
    data tables to files before being able to complete their analysis.
Easily plot heat maps of the world, based on continuous or categorical data. Country labels can also be added to the map.
Functions to import data from more than 30,000 surface
    meteorological sites around the world managed by the National Oceanic and Atmospheric Administration (NOAA) Integrated Surface
    Database (ISD).
A toolkit to detect clusters from distance matrices. 
    The distance matrices are assumed to be calculated between the cells of 
    multiple animals ('Caenorhabditis elegans') from input time-series matrices. 
    Some functions for generating distance matrices, performing clustering, 
    evaluating the clustering, and visualizing the results of clustering and 
    evaluation are available. We're also providing the download function to 
    retrieve the calculated distance matrices from 
    'figshare' <https://figshare.com>.
Client for World Register of Marine Species
    (<https://www.marinespecies.org/>). Includes functions for each
    of the API methods, including searching for names by name, date and
    common names, searching using external identifiers, fetching
    synonyms, as well as fetching taxonomic children and
    taxonomic classification.
Generate wordsearch and crossword puzzles using
    custom lists of words (and clues).  Make them easy or hard,
    and print them to solve offline with paper and pencil!
R clients to the 'Web of Science' and 'InCites' 
  <https://clarivate.com/products/data-integration/> APIs, which 
  allow you to programmatically download publication and citation data
  indexed in the 'Web of Science' and 'InCites' databases.
It shows the connections between selected clusters from the latest time point and the clusters from all the previous time points. The transition matrices between time point t and t+1 are obtained from Waddington-OT analysis <https://github.com/ScialdoneLab/WOTPLY>.
Introduce weights into Ordered Weighted Averages and extend bivariate means based on n-ary tree construction. Please refer to the following:
	G. Beliakov, H. Bustince, and T. Calvo (2016, ISBN: 978-3-319-24753-3),
	G. Beliakov(2018) <doi:10.1002/int.21913>,
	G. Beliakov, J.J. Dujmovic (2016) <doi:10.1016/j.ins.2015.10.040>,
	J.J. Dujmovic and G. Beliakov (2017) <doi:10.1002/int.21828>.
This method generates a tour path by interpolating between d-D frames in p-D using Givens rotations. The algorithm arises from the problem of zeroing elements of a matrix. This interpolation method is useful for showing specific d-D frames in the tour, as opposed to d-D planes, as done by the geodesic interpolation. It is useful for projection pursuit indexes which are not s invariant. See more details in Buj, Cook, Asimov and Hurley (2005) <doi:10.1016/S0169-7161(04)24014-7> and Batsaikhan, Cook and Laa (2023) <doi:10.48550/arXiv.2311.08181>.
Opinionated functions that enable easier and faster
    analysis of Viva Insights data. There are three main types of functions in 'wpa':
    (i) Standard functions create a 'ggplot' visual or a summary table based on a specific
    Viva Insights metric; (2) Report Generation functions generate HTML reports on
    a specific analysis area, e.g. Collaboration; (3) Other miscellaneous functions cover
    more specific applications (e.g. Subject Line text mining) of Viva Insights data.
    This package adheres to 'tidyverse' principles and works well with the pipe syntax.
    'wpa' is built with the beginner-to-intermediate R users in mind, and is optimised for
    simplicity.
Supplies permutation-test alternatives to traditional hypothesis-test
  procedures such as two-sample tests for means, medians, and standard deviations;
  correlation tests; tests for homogeneity and independence; and more. Suitable for
  general audiences, including individual and group users, introductory statistics
  courses, and more advanced statistics courses that desire an introduction to
  permutation tests.
Weighted Piecewise Kernel Density Estimation for large data.
Data from the United Nation's World Population Prospects 2008
Data from the United Nation's World Population Prospects
        2010
Data from the United Nation's World Population Prospects 2012
Provides data from the United Nation's World Population Prospects 2015.
Provides data from the United Nation's World Population Prospects 2017.
Provides data from the United Nation's World Population Prospects 2019.
Explore data in the 'wpp2019' (or 2017, 2015, ...) package using a 'shiny' interface.
Functions to assist in the processing and
    exploration of data from environmental monitoring programs.
    The package name stands for "water quality" and reflects the
    original focus on time series data for physical and chemical
    properties of water, as well as the biota. Intended for
    programs that sample approximately monthly, quarterly or
    annually at discrete stations, a feature of many legacy data
    sets. Most of the functions should be useful for analysis of
    similar-frequency time series regardless of the subject
    matter.
The wavelet-based quantile mapping (WQM) technique is designed to correct biases in spatio-temporal precipitation forecasts across multiple time scales. The WQM method effectively enhances forecast accuracy by generating an ensemble of precipitation forecasts that account for uncertainties in the prediction process. For a comprehensive overview of the methodologies employed in this package, please refer to Jiang, Z., and Johnson, F. (2023) <doi:10.1029/2022EF003350>. The package relies on two packages for continuous wavelet transforms: 'WaveletComp', which can be installed automatically, and 'wmtsa', which is optional and available from the CRAN archive <https://cran.r-project.org/src/contrib/Archive/wmtsa/>. Users need to manually install 'wmtsa' from this archive if they prefer to use 'wmtsa' based decomposition.
Fits weighted quantile sum regression models, calculates weighted quantile sum index and estimated component weights.
Implements a permutation test method for the weighted quantile sum (WQS) regression, building off the 'gWQS' package (Renzetti et al. (2021) <https://CRAN.R-project.org/package=gWQS>). Weighted quantile sum regression is a statistical technique to evaluate the effect of complex exposure mixtures on an outcome (Carrico et al. (2015) <doi:10.1007/s13253-014-0180-3>). The model features a statistical power and Type I error (i.e., false positive) rate trade-off, as there is a machine learning step to determine the weights that optimize the linear model fit. This package provides an alternative method based on a permutation test that should reliably allow for both high power and low false positive rate when utilizing WQS regression (Day et al. (2022) <doi:10.1289/EHP10570>).
Assess Water Quality Trends for Long-Term Monitoring Data in Estuaries using
  Generalized Additive Models following Wood (2017) <doi:10.1201/9781315370279> and Error
  Propagation with Mixed-Effects Meta-Analysis following Sera et al. (2019) <doi:10.1002/sim.8362>.
  Methods are available for model fitting, assessment of fit, annual and seasonal trend tests, and
  visualization of results.
Implements various win ratio methodologies for composite endpoints of death and 
  non-fatal events, including the (stratified) proportional win-fractions (PW) regression models 
  (Mao and Wang, 2020 <doi:10.1111/biom.13382>), (stratified) two-sample tests with possibly 
  recurrent nonfatal event, and sample size calculation for standard win ratio test (Mao et al., 
  2021 <doi:10.1111/biom.13501>).
Supports systematic scrutiny, modification, and integration of
    data. The function status() counts rows that have missing values in 
    grouping columns (returned by na() ), have non-unique combinations of 
    grouping columns (returned by dup() ), and that are not locally sorted
    (returned by unsorted() ). Functions enumerate() and itemize() give 
    sorted unique combinations of columns, with or without occurrence counts,
    respectively. Function ignore() drops columns in x that are present in y,
    and informative() drops columns in x that are entirely NA; constant() returns
    values that are constant, given a key.  Data that have defined unique 
    combinations of grouping values behave more predictably during merge operations.
The main functionalities of 'wrappedtools' are:
    adding backticks to variable names; rounding to desired precision 
    with special case for p-values; 
    selecting columns based on pattern and storing their position, name, 
    and backticked name; computing and formatting of descriptive statistics 
    (e.g. mean±SD), comparing groups and creating publication-ready tables with 
    descriptive statistics and p-values; creating specialized plots for 
    correlation matrices. Functions were mainly written for my own daily work or 
    teaching, but may be of use to others as well.
Helper functions to easily add functionality to functions.  The package can 
  assign functions to have an lazy evaluation allowing you to save and update the 
  arguments before and after each function call.  You can set a temporary working 
  directory within functions and wrap console messages around other functions.
Tools for writing and debugging R code. Provides: 
    '%.>%' dot-pipe (an 'S3' configurable pipe), unpack/to (R style multiple assignment/return),
    'build_frame()'/'draw_frame()' ('data.frame' example tools),
    'qc()' (quoting concatenate), 
    ':=' (named map builder), 'let()' (converts non-standard evaluation interfaces to parametric standard
    evaluation interfaces, inspired by 'gtools::strmacro()' and 'base::bquote()'), and more.
A wrapper around Michel Scheffers's 'libassp' (<https://libassp.sourceforge.net/>).
    The 'libassp' (Advanced Speech Signal Processor) library aims at providing
    functionality for handling speech signal files in most common audio formats
    and for performing analyses common in phonetic science/speech science. This
    includes the calculation of formants, fundamental frequency, root mean
    square, auto correlation, a variety of spectral analyses, zero crossing
    rate, filtering etc. This wrapper provides R with a large subset of
    'libassp's signal processing functions and provides them to the user in a
    (hopefully) user-friendly manner.
A collection of color palettes that were extracted from various books on my sons(Wren) bookshelf. Also included are a number of functions and wrappers to utilize them, as well as to subset the palettes to desired number/specific colors.
Calculates non-parametric estimates of the sample size, power and confidence intervals for the win-ratio. For more detail on the theory behind the methodologies implemented see Yu, R. X. and Ganju, J. (2022) <doi:10.1002/sim.9297>.
Additional options for making graphics in the context of analyzing high-throughput data are available here.
  This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, 
  automatic checking for optimal location of legends in plots, small histograms to insert as legends, 
  histograms re-transforming axis labels to linear when plotting log2-transformed data,
  a violin-plot <doi:10.1080/00031305.1998.10480559> function for a wide variety of input-formats, 
  principal components analysis (PCA) <doi:10.1080/14786440109462720> with bag-plots <doi:10.1080/00031305.1999.10474494> to highlight and compare the center areas for groups of samples, 
  generic MA-plots (differential- versus average-value plots) <doi:10.1093/nar/30.4.e15>, 
  staggered count plots and generation of mouse-over interactive html pages.
Implementation of the methodologies described in 1) Alexander Petersen, Xi Liu and Afshin A. Divani (2021) <doi:10.1214/20-aos1971>, including global F tests, partial F tests, intrinsic Wasserstein-infinity bands and Wasserstein density bands, and 2) Chao Zhang, Piotr Kokoszka and Alexander Petersen (2022) <doi:10.1111/jtsa.12590>, including estimation, prediction, and inference of the Wasserstein autoregressive models.
A powerful yet simple graphical tool available in the field of psychometrics is the Wright Map (also known as item maps or item-person maps), which presents the location of both respondents and items on the same scale. Wright Maps are commonly used to present the results of dichotomous or polytomous item response models. The 'WrightMap' package provides functions to create these plots from item parameters and person estimates stored as R objects. Although the package can be used in conjunction with any software used to estimate the IRT model (e.g. 'TAM', 'mirt', 'eRm' or 'IRToys' in 'R', or 'Stata', 'Mplus', etc.),  'WrightMap' features special integration with 'ConQuest' to facilitate reading and plotting its output directly.The 'wrightMap' function creates Wright Maps based on person estimates and item parameters produced by an item response analysis. The 'CQmodel' function reads output files created using 'ConQuest' software and creates a set of data frames for easy data manipulation, bundled in a 'CQmodel' object. The 'wrightMap' function can take a 'CQmodel' object as input or it can be used to create Wright Maps directly from data frames of person and item parameters.
Function for writing a SNNS pattern file from a data.frame
        or matrix.
Zero-dependency data frame to xlsx exporter based on 'libxlsxwriter'
    <https://libxlsxwriter.github.io>. Fast and no Java or Excel required.
Cross-platform Perl based R function to create Excel 2003 (XLS) and Excel 2007 (XLSX)
             files from one or more data frames. Each data frame will be
             written to a separate named worksheet in the Excel spreadsheet.
             The worksheet name will be the name of the data frame it contains
             or can be specified by the user.
The efficient treatment and convenient analysis of experimental high-throughput (omics) data gets facilitated through this collection of diverse functions. 
  Several functions address advanced object-conversions, like manipulating lists of lists or lists of arrays, reorganizing lists to arrays or into separate vectors, merging of multiple entries, etc.  
  Another set of functions provides speed-optimized calculation of standard deviation (sd), coefficient of variance (CV) or standard error of the mean (SEM)  
  for data in matrixes or means per line with respect to additional grouping (eg n groups of replicates). 
  A group of functions facilitate dealing with non-redundant information, by indexing unique, adding counters to redundant or eliminating lines with respect redundancy in a given reference-column, etc. 
  Help is provided to identify very closely matching numeric values to generate (partial) distance matrixes for very big data in a memory efficient manner or to reduce the complexity of large data-sets by combining very close values. 
  Other functions help aligning a matrix or data.frame to a reference using partial matching or to mine an experimental setup to extract patterns of replicate samples.
  Many times large experimental datasets need some additional filtering, adequate functions are provided. 
  Convenient data normalization is supported in various different modes, parameter estimation via permutations or boot-strap as well as flexible testing of multiple pair-wise combinations using the framework of 'limma' is provided, too.
  Batch reading (or writing) of sets of files and combining data to arrays is supported, too.
A collection of robust statistical methods based on Wilcox' WRS functions. It implements robust t-tests (independent and dependent samples), robust ANOVA (including between-within subject designs), quantile ANOVA, robust correlation, robust mediation, and nonparametric ANCOVA models based on robust location measures.
Water resources system simulator is a tool for simulation and analysis of large-scale water resources systems. 'WRSS' proposes functions and methods for construction, simulation and analysis of primary storage and hydropower water resources features (e.g. reservoirs, aquifers, and etc.) based on Standard Operating Policy (SOP).
A collection of implementations of classical and
    novel algorithms for weighted sampling without replacement.
An adaptation for estuaries (tidal waters) of weighted regression
    on time, discharge, and season to evaluate trends in water quality time series. 
    Please see Beck and Hagy (2015) <doi:10.1007/s10666-015-9452-8> for 
    details.
Top-Down mass spectrometry aims to identify entire proteins as well as their (post-translational) modifications or ions bound (eg Chen et al (2018) <doi:10.1021/acs.analchem.7b04747>). 
    The pattern of internal fragments (Haverland et al (2017) <doi:10.1007/s13361-017-1635-x>) may reveal important information about the original structure of the proteins studied 
    (Skinner et al (2018) <doi:10.1038/nchembio.2515> and Li et al (2018) <doi:10.1038/nchem.2908>). 
    However, the number of possible internal fragments gets huge with longer proteins and subsequent identification of internal fragments remains challenging, 
    in particular since the the accuracy of measurements with current mass spectrometers represents a limiting factor.   
    This package attempts to deal with the complexity of internal fragments and allows identification of terminal and internal fragments from deconvoluted mass-spectrometry data.
Predicts individual race/ethnicity using surname, first name,
    middle name, geolocation, and other attributes, such as gender and
    age. The method utilizes Bayes' Rule (with optional measurement error
    correction) to compute the posterior probability of each racial
    category for any given individual. The package implements methods
    described in Imai and Khanna (2016) "Improving Ecological Inference by
    Predicting Individual Ethnicity from Voter Registration Records"
    Political Analysis <DOI:10.1093/pan/mpw001> and Imai, Olivella, and
    Rosenman (2022) "Addressing census data problems in race imputation
    via fully Bayesian Improved Surname Geocoding and name supplements"
    <DOI:10.1126/sciadv.adc9824>.  The package also incorporates the data
    described in Rosenman, Olivella, and Imai (2023) "Race and ethnicity
    data for first, middle, and surnames"
    <DOI:10.1038/s41597-023-02202-2>.
Non- and semiparametric regression for generalized additive, partial linear, and varying coefficient models as well as their combinations via smoothed backfitting. Based on Roca-Pardinas J and Sperlich S (2010) <doi:10.1007/s11222-009-9130-2>; Mammen E, Linton O and Nielsen J (1999) <doi:10.1214/aos/1017939138>; Lee YK, Mammen E, Park BU (2012) <doi:10.1214/12-AOS1026>.
Easily override the default visual choices in 'ggplot2' to make 
    your time series plots look more like the Wall Street Journal. Specific 
    theme design choices include omitting x-axis grid lines and displaying 
    sparse light grey y-axis grid lines. Additionally, this allows to label 
    the y-axis scales with your units only displayed on the top-most number, 
    while also removing the bottom most number (unless specifically 
    overridden). The goal is visual simplicity, because who has time to waste 
    looking at a cluttered graph?
Entropy weighted k-means (ewkm) by Liping Jing, Michael
        K. Ng and Joshua Zhexue Huang (2007)
        <doi:10.1109/TKDE.2007.1048> is a weighted subspace clustering
        algorithm that is well suited to very high dimensional data.
        Weights are calculated as the importance of a variable with
        regard to cluster membership.  The two-level variable
        weighting clustering algorithm tw-k-means (twkm) by Xiaojun
        Chen, Xiaofei Xu, Joshua Zhexue Huang and Yunming Ye (2013)
        <doi:10.1109/TKDE.2011.262> introduces two types of weights,
        the weights on individual variables and the weights on
        variable groups, and they are calculated during the clustering
        process.  The feature group weighted k-means (fgkm) by Xiaojun
        Chen, Yunminng Ye, Xiaofei Xu and Joshua Zhexue Huang (2012)
        <doi:10.1016/j.patcog.2011.06.004> extends this concept by
        grouping features and weighting the group in addition to
        weighting individual features.
A weighted selection probability to locate rare variants associated with multiple phenotypes.
A parallel implementation of Weighted Subspace Random Forest.  The
    Weighted Subspace Random Forest algorithm was proposed in the
    International Journal of Data Warehousing and Mining by Baoxun Xu,
    Joshua Zhexue Huang, Graham Williams, Qiang Wang, and Yunming Ye
    (2012) <DOI:10.4018/jdwm.2012040103>.  The algorithm can classify
    very high-dimensional data with random forests built using small
    subspaces.  A novel variable weighting method is used for variable
    subspace selection in place of the traditional random variable
    sampling.This new approach is particularly useful in building
    models from high-dimensional data.
Tools for a wavelet-based approach to analyzing spatial synchrony, principally in ecological data. Some tools will be useful for studying community synchrony. See, for instance, Sheppard et al (2016) <doi: 10.1038/NCLIMATE2991>, Sheppard et al (2017) <doi: 10.1051/epjnbp/2017000>, Sheppard et al (2019) <doi: 10.1371/journal.pcbi.1006744>.
Perform the calculation of W-test, diagnostic checking, calculate
    minor allele frequency (MAF) and odds ratio.
Computes the Weighted Topological Overlap with positive and negative signs (wTO) networks given a data frame containing the mRNA count/ expression/ abundance per sample, and a vector containing the interested nodes of interaction (a subset of the elements of the full data frame). It also computes the cut-off threshold or p-value based on the individuals bootstrap or the values reshuffle per individual. It also allows the construction of a consensus network, based on multiple wTO networks. The package includes a visualization tool for the networks.  More about the methodology can be found at <doi:10.1186/s12859-018-2351-7>.
Evaluation of alternatives based on multiple criteria using weighted technique for Order preference by similarity to an ideal solution method. Reference: Hwang CL. (1981, ISBN:978-3-540-10558-9).
Allows form managers to download entries from their respondents
    using Wufoo JSON API (<https://www.wufoo.com>). Additionally, the Wufoo reports - when public - can be
    also acquired programmatically. Note that building new forms within this package
    is not supported.
Provides a series of tools to compute and plot quantities related to classical and robust wavelet variance for time series and regular lattices. More details can be found, for example, in Serroukh, A., Walden, A.T., & Percival, D.B. (2000) <doi:10.2307/2669537> and Guerrier, S. & Molinari, R. (2016) <arXiv:1607.05858>.
Select data analysis plots, under a standardized calling interface implemented on top of 'ggplot2' and 'plotly'.  
   Plots of interest include: 'ROC', gain curve, scatter plot with marginal distributions, 
   conditioned scatter plot with marginal densities,
   box and stem with matching theoretical distribution, and density with matching theoretical distribution.
Book is "Linear Mixed Models: A Practical Guide Using
        Statistical Software" published in 2006 by Chapman Hall / CRC
        Press.
Provides a collection of white noise hypothesis tests for functional time series and related visualizations. 
  These include tests based on the norms of autocovariance operators that are built under both strong and weak 
  white noise assumptions. Additionally, tests based on the spectral density operator and on principal component
  dimensional reduction are included, which are built under strong white noise assumptions. 
  Also, this package provides goodness-of-fit tests for functional autoregressive of order 1 models.
  These methods are described in Kokoszka et al. (2017) <doi:10.1016/j.jmva.2017.08.004>, Characiejus and Rice (2019) 
  <doi:10.1016/j.ecosta.2019.01.003>, Gabrys and Kokoszka (2007) <doi:10.1198/016214507000001111>, 
  and Kim et al. (2023) <doi: 10.1214/23-SS143>
  respectively.
A weather generator to simulate precipitation and temperature for regions with seasonality. Users input training data containing precipitation, temperature, and seasonality (up to 26 seasons). Including weather season as a training variable allows users to explore the effects of potential changes in season duration as well as average start- and end-time dates due to phenomena like climate change. Data for training should be a single time series but can originate from station data, basin averages, grid cells, etc.
    Bearup, L., Gangopadhyay, S., & Mikkelson, K. (2021). "Hydroclimate Analysis Lower Santa Cruz River Basin Study (Technical Memorandum No ENV-2020-056)." Bureau of Reclamation.
    Gangopadhyay, S., Bearup, L. A., Verdin, A., Pruitt, T., Halper, E., & Shamir, E. (2019, December 1). "A collaborative stochastic weather generator for climate impacts assessment in the Lower Santa Cruz River Basin, Arizona." Fall Meeting 2019, American Geophysical Union. <https://ui.adsabs.harvard.edu/abs/2019AGUFMGC41G1267G>.
Meta testing is the ability to test a function without having to 
    provide its parameter values.
    Those values will be generated, based on semantic naming of parameters, as 
    introduced by package 'wyz.code.offensiveProgramming'.
    Value generation logic can be completed with your own data types 
    and generation schemes. This to meet your most specific requirements and to 
    answer to a wide variety of usages, from general use case to very specific
    ones.
    While using meta testing, it becomes easier to generate stress test 
    campaigns, non-regression test campaigns and robustness test campaigns, as 
    generated tests can be saved and reused from session to session. 
    Main benefits of using 'wyz.code.metaTesting' is ability to discover valid 
    and invalid function parameter combinations, ability to infer valid 
    parameter values, and to provide smart summaries that allows you to focus
    on dysfunctional cases.
Allows to turn standard R code into offensive programming code. 
    Provides code instrumentation to ease this change and tools to assist and 
    accelerate code production and tuning while using offensive programming code 
    technics. 
    Should improve code robustness and quality. Function calls can be easily 
    verified on-demand or in batch mode to assess parameter types and length 
    conformities. 
    Should improve coders productivity as offensive programming reduces the code
    size due to reduced number of controls all along the call chain. 
    Should speed up processing as many checks will be reduced to one single check.
Allows to generate on-demand or by batch, any R documentation file,
    whatever is kind, data, function, class or package. It populates
    documentation sections, either automatically or by considering
    your input. Input code could be standard R code or offensive programming code. 
    Documentation content completeness depends on the type of code you use. With
    offensive programming code, expect generated documentation to be fully 
    completed, from a format and content point of view. With some standard R 
    code, you will have to activate post processing to fill-in any section that 
    requires complements. Produced manual page validity is automatically tested 
    against R documentation compliance rules. Documentation language 
    proficiency, wording style, and phrasal adjustments remains your job.
Allows to generate automatically 'testthat' code files from offensive 
    programming test cases. Generated test files are complete and ready to run.
    Using 'wyz.code.testthat' you will earn a lot of time, reduce the number of
    errors in test case production, be able to test immediately generated files 
    without any need to view or modify them, and enter a zero time latency between 
    code implementation and industrial testing. As with 'testthat', you may
    complete provided test cases according to your needs to push testing further, 
    but this need is nearly void when using 'wyz.code.offensiveProgramming'.
Provides a tool for extracting information (entities and relations between them) in text datasets. It also emphasizes the results exploration with graphical displays. It is a rule-based system and works with hand-made dictionaries and local grammars defined by users. 'x.ent' uses parsing with Perl functions and JavaScript to define user preferences through a browser and R to display and support analysis of the results extracted. Local grammars are defined and compiled with the tool Unitex, a tool developed by University Paris Est that supports multiple languages. See ?xconfig for an introduction.
The 'X13-ARIMA-SEATS' <https://www.census.gov/data/software/x13as.html> methodology and software is a widely used software and developed by the US Census Bureau. It can be accessed from 'R' with this package and 'X13-ARIMA-SEATS' binaries are provided by the 'R' package 'x13binary'.
The US Census Bureau provides a seasonal adjustment program now
 called 'X-13ARIMA-SEATS' building on both earlier programs called X-11 and
 X-12 as well as the SEATS program by the Bank of Spain. The US Census Bureau
 offers both source and binary versions -- which this package integrates for
 use by other R packages.
The x3p file format  is specified in ISO standard 5436:2000 to 
    describe 3d surface measurements. 'x3ptools' allows reading, writing and 
    basic modifications to the 3D surface measurements.
A few functions which provide a quick way of subsetting
    genomic admixture data and generating customizable stacked barplots.
Create HTML5 slides with R Markdown and the JavaScript library
    'remark.js' (<https://remarkjs.com>).
Extras and extensions for 'xaringan' slides. Navigate your
    slides with tile view. Make your slides editable, live! Announce slide
    changes with subtle tones. Animate slide transitions with
    'animate.css'. Add tabbed panels to slides with 'panelset'. Use the
    'Tachyons CSS' utility toolkit for rapid slide development. Scribble
    on your slides. Add a copy button to your code chunks with
    'clipboard'. Add a logo or top or bottom banner to every slide.
    Broadcast slides to stay in sync with remote viewers. Include yourself
    in your slides with 'webcam'.  Plus a whole lot more!
Create beautifully color-coordinated and customized themes
    for your 'xaringan' slides, without writing any CSS. Complete your
    slide theme with 'ggplot2' themes that match the font and colors used
    in your slides.  Customized styles can be created directly in your
    slides' 'R Markdown' source file or in a separate external script.
Functions to extract business financial information from
  an Extensible Business Reporting Language ('XBRL') instance file and the
  associated collection of files that defines its 'Discoverable' Taxonomy
  Set ('DTS').
Implementation of Bayesian models for estimating object lengths and morphological relationships between object lengths using photographic data collected from drones.  The Bayesian model is described in "Bayesian approach for predicting photogrammetric uncertainty in morphometric measurements derived from drones" (Bierlich et al., 2021, <doi:10.3354/meps13814>).
Functions for Estimating a (c)DCC-GARCH Model in large dimensions
    based on a publication by Engle et,al (2017) <doi:10.1080/07350015.2017.1345683> and Nakagawa et,al (2018) <doi:10.3390/ijfs6020052>.
    This estimation method is consist of composite likelihood method by Pakel et al. (2014) <http://paneldataconference2015.ceu.hu/Program/Cavit-Pakel.pdf>
    and (Non-)linear shrinkage estimation of covariance matrices by Ledoit and Wolf (2004,2015,2016). (<doi:10.1016/S0047-259X(03)00096-4>,
    <doi:10.1214/12-AOS989>, <doi:10.1016/j.jmva.2015.04.006>).
Hamiltonian Monte Carlo for both continuous and discontinuous
  posterior distributions with customisable trajectory length 
  termination criterion. See Nishimura et al. (2020) <doi:10.1093/biomet/asz083> for
  the original Discontinuous Hamiltonian Monte Carlo, 
  Hoffman et al. (2014) <doi:10.48550/arXiv.1111.4246> and Betancourt (2016) 
  <doi:10.48550/arXiv.1601.00225> for the definition of possible Hamiltonian
  Monte Carlo termination criteria.
Miscellaneous functions used for x-engineering (feature engineering) or 
  for supporting in other packages maintained by 'Shichen Xie'.
Implementation of a scalable, highly configurable, and 
        e(x)tended architecture for (e)volutionary and (g)enetic (a)lgorithms.
        Multiple representations (binary, real-coded, permutation, and 
        derivation-tree), a rich collection of genetic operators, 
        as well as an extended processing pipeline are provided 
        for genetic algorithms (Goldberg, D. E. (1989, ISBN:0-201-15767-5)),
        differential evolution (Price, Kenneth V., Storn, Rainer M. and Lampinen, Jouni A. (2005)
        <doi:10.1007/3-540-31306-0>), simulated annealing (Aarts, E., and Korst, J.
        (1989, ISBN:0-471-92146-7)), grammar-based genetic programming 
        (Geyer-Schulz (1997, ISBN:978-3-7908-0830-X)), and grammatical evolution 
        (Ryan, C., O'Neill, M., and Collins, J. J. (2018) <doi:10.1007/978-3-319-78717-6>).
        All algorithms reuse basic adaptive mechanisms for performance optimization.
        Sequential or parallel execution (on multi-core machines, 
        local clusters, and high performance computing environments) 
        is available for all algorithms. See 
        <https://github.com/ageyerschulz/xega/tree/main/examples/executionModel>.
Translates a BNF (Backus-Naur Form) specification of a 
             context-free language into an R grammar object
             which consists of the start symbol, the symbol table, 
             the production table, and a short production table.
             The short production table is non-recursive. 
             The grammar object contains the file name from 
             which it was generated (without a path).
             In addition, it provides functions to determine the type 
             of a symbol (isTerminal() and isNonterminal()) and functions
             to access the production table (rules() and derives()).
             For the BNF specification, see Backus, John et al. (1962)
             "Revised Report on the Algorithmic Language ALGOL 60".
             (ALGOL60 standards page <http://www.algol60.org/2standards.htm>,
              html-edition <https://www.masswerk.at/algol60/report.htm>)
             The grammar compiler is based on the APL2 implementation in 
             Geyer-Schulz, Andreas (1997, ISBN:978-3-7908-0830-X).
Derivation tree operations are needed for implementing 
            grammar-based genetic programming and grammatical evolution:  
            Generating of a random derivation trees of a context-free grammar 
            of bounded depth, decoding a derivation tree, 
            choosing a random node in a derivation tree, 
            extracting a tree whose root is a specified node, and 
            inserting a subtree into a derivation tree at a specified node.
            These operations are necessary for the initializiation and 
            for decoders of a random population of programs, 
            as well as for implementing crossover and mutation operators.
            Depth-bounds are guaranteed by switching to a grammar 
            without recursive production rules. 
            For executing the examples, the package 'BNF' is needed.
            The basic tree operations of generating, extracting, and 
            inserting of derivation trees as well as the conditions 
            for guaranteeing complete derivation trees have been 
            presented in Geyer-Schulz (1997, ISBN:978-3-7908-0830-X).
            The use of random integer vectors for the generation 
            of derivation trees has been introduced in 
            Ryan, C., Collins, J. J., and  O'Neill, M. (1998)
            <doi:10.1007/BFb0055930>.
Representation-dependent gene level operations  
        for genetic and evolutionary algorithms with real-coded genes
        are collected in this package. The common feature of the gene
        operations is that all of them are useful for derivation-free
        optimization algorithms. At the moment the package  
        implements initialization, mutation, crossover, and replication 
        operations for differential evolution as described in
        Price, Kenneth V., Storn, Rainer M. and Lampinen, Jouni A. (2005)
        <doi:10.1007/3-540-31306-0>.
Representation-dependent gene level operations of a 
        genetic algorithm with binary coded genes:
        Initialization of random binary genes, several gene maps for 
        binary genes, several mutation operators, several crossover
        operators with 1 and 2 kids, replication 
        pipelines for 1 and 2 kids, and, last but not least, function 
        factories for configuration. 
        See Goldberg, D. E. (1989, ISBN:0-201-15767-5).
        For crossover operators, see 
        Syswerda, G. (1989, ISBN:1-55860-066-3),
        Spears, W. and De Jong, K. (1991, ISBN:1-55860-208-9).
        For mutation operators, see 
        Stanhope, S. A. and Daida, J. M. (1996, ISBN:0-18-201-031-7).
Grammatical evolution  (see O'Neil, M. and 
        Ryan, C.  (2003,ISBN:1-4020-7444-1)) uses decoders to 
        convert linear (binary or integer genes) into programs.  
        In addition, automatic determination of codon precision 
        with a limited rule choice bias is provided.
        For a recent survey of grammatical evolution, 
        see Ryan, C., O'Neill, M., and Collins, J. J. (2018)
        <doi:10.1007/978-3-319-78717-6>.
An implementation of
        the representation-dependent gene level operations of grammar-based
        genetic programming with genes which are derivation trees
        of a context-free grammar: Initialization of a gene with a 
        complete random derivation tree, decoding of a derivation tree.
        Crossover is implemented by exchanging subtrees. Depth-bounds
        for the minimal and the maximal depth of the roots of the subtrees
        exchanged by crossover can be set. 
        Mutation is implemented by replacing a subtree by a random subtree. 
        The depth of the random subtree and the insertion node are 
        configurable. For details, 
        see Geyer-Schulz (1997, ISBN:978-3-7908-0830-X).
An implementation of 
        representation-dependent gene level operations for
        genetic algorithms with genes which represent permutations: 
        initialization of genes, mutation and crossover.
        The crossover operation provided is position-based crossover 
        (Syswerda, G., Chap. 21 in Davis, L. (1991, ISBN:0-442-00173-8). 
        For mutation, several variants are included: Order-based mutation
        (Syswerda, G., Chap. 21 in Davis, L. (1991, ISBN:0-442-00173-8), 
        randomized Lin-Kernighan heuristics
        (Croes, G. A. (1958) <doi:10.1287/opre.6.6.791> and
         Lin, S. and Kernighan. B. W. (1973) 
        <doi:10.1287/opre.21.2.498>), 
        and randomized greedy operators.
        A random mix operator for mutation selects a mutation variant 
        randomly.
This collection of gene representation-independent functions 
   implements the population layer of extended evolutionary and genetic 
   algorithms and its support. The population layer consists of functions 
   for initializing, logging, observing, evaluating a population of genes, 
   as well as of computing the next population. For parallel evaluation of a 
   population of genes 4 execution models - named Sequential, MultiCore, 
   FutureApply, and Cluster - are provided. They are implemented by 
   configuring the lapply() function. The execution model FutureApply can be 
   externally configured as recommended by Bengtsson (2021) 
   <doi:10.32614/RJ-2021-048>. Configurable acceptance rules and cooling 
   schedules (see Kirkpatrick, S., Gelatt, C. D. J, and Vecchi, M. P. (1983) 
   <doi:10.1126/science.220.4598.671>, and Aarts, E., and Korst, J. 
   (1989, ISBN:0-471-92146-7) offer simulated annealing or greedy randomized 
   approximate search procedure elements. Adaptive crossover and mutation 
   rates depending on population statistics generalize the approach of 
   Stanhope, S. A. and Daida, J. M. (1996, ISBN:0-18-201-031-7).
Datasets and definitions of generic functions used in dependencies of the 'xergm' package.
Read and write XES Files to create event log objects used by the 'bupaR' framework. XES (Extensible Event Stream) is the `IEEE` standard for storing and sharing event data (see <http://standards.ieee.org/findstds/standard/1849-2016.html> for more info).
Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
This tool enables in-database scoring of 'XGBoost' models built in R, by translating trained model objects into SQL query. 
  'XGBoost' <https://xgboost.readthedocs.io/en/latest/index.html> provides parallel tree boosting (also known as gradient boosting machine, or GBM) algorithms
  in a highly efficient, flexible and portable way. GBM algorithm is introduced by Friedman (2001) <doi:10.1214/aos/1013203451>, 
  and more details on 'XGBoost' can be found in Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>.
Extreme Gradient Boosting, which is an efficient implementation
    of the gradient boosting framework from Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>.
    This package is its R interface. The package includes efficient linear
    model solver and tree learning algorithms. The package can automatically
    do parallel computation on a single machine which could be more than 10
    times faster than existing gradient boosting packages. It supports
    various objective functions, including regression, classification and ranking.
    The package is made to be extensible, so that users are also allowed to define
    their own objectives easily.
Compute surrogate explanation groves for predictive machine learning models and analyze complexity vs. explanatory power of an explanation according to Szepannek, G. and von Holt, B. (2023) <doi:10.1007/s41237-023-00205-2>.
Supports a structured approach
    for exploring PKPD data <https://opensource.nibr.com/xgx/>. It also
    contains helper functions for enabling the modeler to follow best R
    practices (by appending the program name, figure name location, and
    draft status to each plot). In addition, it enables the modeler to
    follow best graphical practices (by providing a theme that
    reduces chart ink, and by providing time-scale, log-scale, and
    reverse-log-transform-scale functions for more readable axes).
    Finally, it provides some data checking and summarizing functions for
    rapidly exploring pharmacokinetics and pharmacodynamics (PKPD) datasets.
Fits relative survival regression models with or without proportional excess hazards and with the additional possibility to correct for background mortality by one or more parameter(s). These models are relevant when the observed mortality in the studied group is not comparable to that of the general population or in population-based studies where the available life tables used for net survival estimation are insufficiently stratified. In the latter case, the proposed model by Touraine et al. (2020) <doi:10.1177/0962280218823234> can be used. The user can also fit a model that relaxes the proportional expected hazards assumption considered in the Touraine et al. excess hazard model. This extension was proposed by Mba et al. (2020) <doi:10.1186/s12874-020-01139-z> to allow non-proportional effects of the additional variable on the general population mortality. In non-population-based studies, researchers can identify non-comparability source of bias in terms of expected mortality of selected individuals. An excess hazard model correcting this selection bias is presented in Goungounga et al. (2019) <doi:10.1186/s12874-019-0747-3>. This class of model with a random effect at the cluster level on excess hazard is presented in Goungounga et al. (2023) <doi:10.1002/bimj.202100210>.
Computes robust association measures that do not 
    presuppose linearity. The xi correlation (xicor) is based
    on cross correlation between ranked increments.
    The reference for the methods implemented here is 
    Chatterjee, Sourav (2020) <arXiv:1909.10140>
    This package includes the Galton peas example.
Provides a simple XML tree parser/generator. It includes
        functions to read XML files into R objects, get information out of
        and into nodes, and write R objects back to XML code. It's not as
        powerful as the 'XML' package and doesn't aim to be, but for simple
        XML handling it could be useful. It was originally developed for
        the R GUI and IDE 'RKWard' <https://rkward.kde.org>, to make plugin
        development easier.
Plotting ggplot2 graphs using the XKCD style.
The XKCD color survey asked participants to name colours. Randall Munroe published the top thousand(roughly) names and their sRGB hex values. This package lets you use them.
Download data from individual XKCD comics, written by Randall Munroe <https://xkcd.com/>.
An R interface to the 'OpenPyXL' 'Python' library to create 
  native 'Excel' charts and work with Microsoft 'Excel' files.
Provides comprehensive functionality to read, write and format Excel data.
Parse entire folders of non-rectangular 'xlsx' files into a single
  rectangular and tidy 'data.frame' based on a custom template file defining the 
  column names of the output.
The expression of X-chromosome undergoes three possible biological processes: X-chromosome
             inactivation (XCI), escape of the X-chromosome inactivation (XCI-E),and skewed X-chromosome                    
             inactivation (XCI-S). To analyze the X-linked genetic association for phenotype such as                         
             continuous, binary, and time-to-event outcomes with the actual process unknown, we propose a unified            
             approach of maximizing the likelihood or partial likelihood over all of the potential biological             
             processes. The methods are described in Wei Xu, Meiling Hao (2017) <doi:10.1002/gepi.22097>. And 
             also see Dongxiao Han, Meiling Hao, Lianqiang Qu, Wei Xu (2019) <doi:10.1177/0962280219859037>.
Provides a tool for non linear mapping (non linear regression) using a mixture of regression model and an inverse regression strategy. The methods include the GLLiM model (see Deleforge et al (2015) <DOI:10.1007/s11222-014-9461-5>) based on Gaussian mixtures and a robust version of GLLiM, named SLLiM (see Perthame et al (2016) <DOI:10.1016/j.jmva.2017.09.009>) based on a mixture of Generalized Student distributions. The methods also include BLLiM (see Devijver et al (2017) <arXiv:1701.07899>) which is an extension of GLLiM with a sparse block diagonal structure for large covariance matrices (particularly interesting for transcriptomic data).
Given the date column as an ascending entry, future errors are included in the sum of squares of error that should be minimized based on the number of steps and weights you determine. Thus, it is prevented that the variables affect each other's coefficients unrealistically.
Provide R functions to read/write/format Excel 2007 and Excel 97/2000/XP/2003 file formats.
Reading and writing sheets of a single 'Excel' file into and from a list of data frames. Eases I/O of tabular data in bioinformatics while keeping them in a human readable format.
The xlsxjars package collects all the external jars
  required for the xlxs package. This release corresponds to POI
  3.10.1.
A toolbox for meta-analysis. This package includes: 1,a robust multivariate meta-analysis of continuous or binary outcomes; 2, a bivariate Egger's test for detecting small study effects; 3, Galaxy Plot: A New Visualization Tool of Bivariate Meta-Analysis Studies; 4, a bivariate T&F method accounting for publication bias in bivariate meta-analysis, based on symmetry of the galaxy plot. Hong C. et al(2020) <doi:10.1093/aje/kwz286>, Chongliang L. et al(2020) <doi:10.1101/2020.07.27.20161562>.
Many approaches for both reading and
        creating XML (and HTML) documents (including DTDs), both local
        and accessible via HTTP or FTP.  Also offers access to an
        'XPath' "interpreter".
Work with XML files using a simple, consistent interface.
    Built on top of the 'libxml2' C library.
Helpers for transforming
    XML content into number of tables while preserving parent to child
    relationships.
Import an XML document with nested object structures and convert
    it into a relational data model. The result is a set of R dataframes 
    with foreign key relationships. The data model and the data can be exported as
    SQL code of different SQL flavors.
Converts XML documents to R dataframes and dataframes to XML documents.
  A wide variety of options allows for different XML formats and flexible control
  of the conversion process. Results can be exported to CSV and Excel, if desired. 
  Also converts XML data to R lists.
Convert the output of 'utils::getParseData()' to an 'XML'
    tree, that one can search via 'XPath', and easier to manipulate in
    general.
'XML' package for creating and reading and manipulating 'XML', with an object model based on 'Reference Classes'.
The 'XML-RPC' is a remote procedure call protocol 
    based on 'XML'. The 'xmlrpc2' package is inspired by the 'XMLRPC'
	package but uses the 'curl' and 'xml2' packages instead 'RCurl' and 'XML'.
Provides a fast and elegant interface for generating XML
 fragments and documents. It can be used in companion with R packages 'XML'
 or 'xml2' to generate XML documents. The fast XML generation is implemented using the
 'Rcpp' package.
Edit 'XMP' metadata <https://en.wikipedia.org/wiki/Extensible_Metadata_Platform> 
    in a variety of media file formats as well as 
    edit bookmarks (aka outline aka table of contents) and documentation info entries in 'pdf' files.
    Can detect and use a variety of command-line tools to perform these operations such as
    'exiftool' <https://exiftool.org/>, 'ghostscript' <https://www.ghostscript.com/>, 
    and/or 'pdftk' <https://gitlab.com/pdftk-java/pdftk>.
XMRs combine X-Bar control charts and Moving Range control charts. These functions also will recalculate the reference lines when significant change has occurred.
Fit a two-step kernel ridge regression model for
        predicting edges in networks, and carry out cross-validation
        using shortcuts for swift and accurate performance assessment
        (Stock et al, 2018 <doi:10.1093/bib/bby095> ).
Tests whether a set of counts fit a given expected ratio. For
    example, a genetic cross might be expected to produce four types in the
    relative frequencies of 9:3:3:1. To see whether a set of observed counts
    fits this expectation, one can examine all possible outcomes with xmulti() or a
    random sample of them with xmonte() and find the probability of an observation
    deviating from the expectation by at least as much as the observed. As a
    measure of deviation from the expected, one can use the log-likelihood
    ratio, the multinomial probability, or the classic chi-square statistic. A
    histogram of the test statistic can also be plotted and compared with the
    asymptotic curve.
Analysis of crossover interference in experimental crosses,
    particularly regarding the gamma model. See, for example,
    Broman and Weber (2000) <doi:10.1086/302923>.
Cross platform solution to open files, directories or 'URLs'
    with their associated programs.
Helps systematize and ease the process of 
    building unit tests with the 'testthat' package by providing 
    tools for generating expectations.
Allows to provide live interpretations and explanations of statistical 
    functions in R. These interpretations and explanations are shown when the explained function 
    is called by the user. They can interact with the values of the explained function's actual 
    results to offer relevant, meaningful insights. The 'xplain' interpretations and explanations 
    are based on an easy-to-use XML format that allows to include R code to interact with the 
    returns of the explained function.
Tools for interactive data exploration built using 'shiny'. Includes apps for descriptive 
    statistics, visualizing probability distributions, inferential statistics, linear regression, 
    logistic regression and RFM analysis.
Provides a set of functions devoted to multivariate exploratory statistics on textual data. Classical methods such as correspondence analysis and agglomerative hierarchical clustering are available. Chronologically constrained agglomerative hierarchical clustering enriched with labelled-by-words trees is offered. Given a division of the corpus into parts, their characteristic words and documents are identified. Further, accessing to 'FactoMineR' functions is very easy. Two of them are relevant in textual domain. MFA() addresses multiple lexical table allowing applications such as dealing with multilingual corpora as well as simultaneously analyzing both open-ended and closed questions in surveys. See <http://xplortext.unileon.es> for examples.
Tools to build CDISC compliant data sets and check for CDISC
    compliance.
Diagnostics for non-linear mixed-effects (population) 
    models from 'NONMEM' <https://www.iconplc.com/solutions/technologies/nonmem/>. 
    'xpose' facilitates data import, creation of numerical run summary 
    and provide 'ggplot2'-based graphics for data exploration and model 
    diagnostics.
Extension to 'xpose' to support 'nlmixr2'. Provides functions to import 'nlmixr2' fit data into an 'xpose' data object, allowing the use of 'xpose' for 'nlmixr2' model diagnostics.
A model building aid for nonlinear mixed-effects 
    (population) model analysis using NONMEM, facilitating data set 
    checkout, exploration and visualization, model diagnostics, candidate 
    covariate identification and model comparison. The methods are described 
    in Keizer et al. (2013) <doi:10.1038/psp.2013.24>, and Jonsson et al. (1999) 
    <doi:10.1016/s0169-2607(98)00067-4>.
Support for interfaces from R to other languages,
    built around a class for evaluators and a combination of functions, classes and
    methods for communication. Will be used through a specific language interface
    package. Described in the book "Extending R".
Tools to analyze datasets previous to any statistical modeling.
    Has various functions designed to find inconsistencies and understanding the distribution of the data.
An implementation of the RuleFit algorithm as described in Friedman & Popescu 
  (2008) <doi:10.1214/07-AOAS148>. eXtreme Gradient Boosting ('XGBoost') is used 
  to build rules, and 'glmnet' is used to fit a sparse linear model on the raw and rule features. The result
  is a model that learns similarly to a tree ensemble, while often offering improved interpretability
  and achieving improved scoring runtime in live applications. Several algorithms for
  reducing rule complexity are provided, most notably hyperrectangle de-overlapping. All algorithms scale to 
  several million rows and support sparse representations to handle tens of thousands of dimensions.
Contains functions to identify tree-ring borders based on X-ray micro-density profiles and a Graphical User Interface (GUI) to visualize density profiles and correct tree-ring borders. Campelo F, Mayer K, Grabner M. (2019) <doi:10.1016/j.dendro.2018.11.002>.
A Julia interface structured according to the general
	     form described in package 'XR' and in the book "Extending R".
Fits hierarchical regularized regression models
    to incorporate potentially informative external data, Weaver and Lewinger (2019) <doi:10.21105/joss.01761>. 
    Utilizes coordinate descent to efficiently fit regularized regression models both with and without
    external information with the most common penalties used in practice (i.e. ridge, lasso, elastic net). 
    Support for standard R matrices, sparse matrices and big.matrix objects.
A 'Python' interface structured according to the general
    form described in package 'XR' and in the book "Extending R".
This is a set of statistical quality control functions,  that allows plotting control charts and its iterations, process capability for variable and attribute control, highlighting the xrs_gr() function, like a first iteration for variable chart, meanwhile the we_rules() function detects non random patterns in sample.
An extension for the 'xml2' package to transform XML documents
    by applying an 'xslt' style-sheet.
The circadian period of a time series data is predicted and the statistical significance of the periodicity are calculated using the chi-square periodogram.
Tools to download and merge data files on sub-national conflict, violence and protests from <http://www.x-sub.org>.
There are two new network metrics, RWC (random walk centrality) and CBET (counting betweenness). Also available are the normalized versions of those metrics. These measures of centrality and betweenness are particularly useful for the analysis of very dense weighted networks which include loops. Traditional measures do not work as well for those network characteristics. The main reference is DePaolis at al (2022) <doi:10.1007/s41109-022-00519-2>.
Provide for uniform handling of R's different time-based data classes by extending zoo, maximizing native format information preservation and allowing for user level customization and extension, while simplifying cross-class interoperability.
Based on 'STATA' xtsum command, it is used to compute summary statistics for a panel data set. It generates overall, between-group, and within-group statistics for specified variables in a panel data set, as presented in S. Porter (2023) <https://stephenporter.org/files/xtsum_handout.pdf>, StataCorp (2023) <https://www.stata.com/manuals/xtxtsum.pdf>.
Extends standard penalized regression (Lasso, Ridge, and Elastic-net) to allow feature-specific shrinkage based on external information with the goal of achieving a better prediction accuracy and variable selection. Examples of external information include the grouping of predictors, prior knowledge of biological importance, external p-values, function annotations, etc. The choice of multiple tuning parameters is done using an Empirical Bayes approach. A majorization-minimization algorithm is employed for implementation.
This is a collection of some useful functions when dealing with text data. 
    Currently it only contains a very efficient function of decoding HTML entities
    in character vectors by 'Rcpp' routine.
Extrema-weighted feature extraction for varying length functional data. Functional data analysis method that performs dimensionality reduction based on predefined features and allows for quantile weighting. Method implemented as presented in van den Boom et al. (2018) <doi:10.1093/bioinformatics/bty120>.
Institutional performance assessment remains a key challenge to a multitude of stakeholders. Existing indicators such as h-type indicators, g-type indicators, and many others do not reflect expertise of institutions that defines their research portfolio. The package offers functionality to compute and visualise two novel indices: the x-index and the xd-index. The x-index evaluates an institution's scholarly expertise within a specific discipline or field, while the xd-index provides a broader assessment of overall scholarly expertise considering an institution's publication pattern and strengths across coarse thematic areas. These indices offer a nuanced understanding of institutional research capabilities, aiding stakeholders in research management and resource allocation decisions. Lathabai, H.H., Nandy, A., and Singh, V.K. (2021) <doi:10.1007/s11192-021-04188-3>. Nandy, A., Lathabai, H.H., and Singh, V.K. (2023) <doi:10.5281/zenodo.8305585>.
Extremely fast hashing of R objects using 'xxHash'.  R objects are hashed via
    the standard serialization mechanism in R.  Raw byte vectors and strings
    can be handled directly for compatibility with hashes created on 
    other systems.  This implementation is a wrapper around the 'xxHash' 'C'
    library which is available from <https://github.com/Cyan4973/xxHash>.
A suite of psychometric analysis tools for research and operation, including:
    (1) computation of probability, information, and likelihood for the 3PL, GPCM, and GRM;
    (2) parameter estimation using joint or marginal likelihood estimation method;
    (3) simulation of computerized adaptive testing using built-in or customized algorithms;
    (4) assembly and simulation of multistage testing. 
    The full documentation and tutorials are at <https://github.com/xluo11/xxIRT>.
An alternative canonical correlation/redundancy analysis function, with associated print, plot, and summary methods.  A method for generating helio plots is also included.
Procedures to perform consensus clustering starting from a dissimilarity matrix or a data matrix. It's allowed to select if the subsampling has to be by samples or features. In case of computational heavy load, the procedures can run in parallel.
Another implementation of general regression neural network in R
    based on Specht (1991) <DOI:10.1109/72.97934>. It is applicable to the 
    functional approximation or the classification.
Obtain historical and near real time data related to stocks, index 
    and currencies from the Yahoo Finance API. This package is community maintained 
    and is not officially supported by 'Yahoo'. The accuracy of data is only as 
    correct as provided on <https://finance.yahoo.com/>.
Performs nearest neighbor-based imputation using one or more alternative 
    approaches to processing multivariate data. These include methods based on canonical 
    correlation: analysis, canonical correspondence analysis, and a multivariate adaptation 
    of the random forest classification and regression techniques of Leo Breiman and Adele 
    Cutler. Additional methods are also offered. The package includes functions for 
    comparing the results from running alternative techniques, detecting imputation targets 
    that are notably distant from reference observations, detecting and correcting 
    for bias, bootstrapping and building ensemble imputations, and mapping results.
This collection of data exploration tools was developed at
    Yale University for the graphical exploration of complex
    multivariate data; barcode and gpairs now have their own
    packages.  The big.read.table() function provided here may be
    useful for large files when only a subset is needed (but please
    see the note in the help page for this function).
Implements the 'libyaml' 'YAML' 1.1 parser and emitter
  (<https://pyyaml.org/wiki/LibYAML>) for R.
A YAML-based
 mechanism for working with table metadata. Supports
 compact syntax for creating, modifying, viewing, exporting,
 importing, displaying, and plotting metadata coded as column 
 attributes. The 'yamlet' dialect is valid 'YAML' with
 defaults and conventions chosen to improve readability. 
 See ?yamlet, ?decorate, ?modify, ?io_csv, and ?ggplot.decorated.
Setting layout through 'YAML' headers in 'R-Markdown' documents,
    enabling their automatic generation.
    Functions and methods may summarize 'R' objects in automatic reports, for
    instance check-lists and further reports applied to the packages 'taxlist'
    and 'vegtable'.
Tidy tools for quantifying how well model fits to a data set
    such as confusion matrices, class probability curve summaries, and
    regression metrics (e.g., RMSE).
Contains a mixture of functions and data sets referred to in the introductory e-book "YaRrr!: The Pirate's Guide to R". The latest version of the e-book is available for free at <https://www.thepiratesguidetor.com>.
A collection of string functions designed for writing 
    compact and expressive R code. 'yasp' (Yet Another String Package) is simple,
    fast, dependency-free, and written in pure R. The package provides: a
    coherent set of abbreviations for paste() from package 'base' with a
    variety of defaults, such as p() for "paste" and pcc() for "paste and
    collapse with commas"; wrap(), bracket(), and others for wrapping a
    string in flanking characters; unwrap() for removing pairs of characters
    (at any position in a string); and sentence() for cleaning whitespace
    around punctuation and capitalization appropriate for prose sentences.
Provides functions to manage taxonomy when lineages are
    described with strings and ranks separated with special patterns like
    "|*__" or ";*__".
Test of linearity originally proposed by Yatchew (1997) <doi:10.1016/S0165-1765(97)00218-8> and improved by de Chaisemartin & D'Haultfoeuille (2024) <doi:10.2139/ssrn.4284811> to be robust under heteroskedasticity.
Determines the sum of squares of the (2^n)-1 factorial effects in a 2^n factorial experiment using Yates' algorithm.
Nonparametric estimation of discount functions and yield curves from 
    transaction data of coupon paying bonds. 
    Koo, B., La Vecchia, D., & Linton, O. B. (2021) <doi:10.1016/j.jeconom.2020.04.014> 
    describe an application of this package using the Center for Research in 
    Security Prices (CRSP) Bond Data and document its implementation.
Asks Yes-No questions with variable or custom responses.
Facilitates download of financial data from Yahoo Finance <https://finance.yahoo.com/>, 
 a vast repository of stock price data across multiple financial exchanges. The package offers a local caching system
 and support for parallel computation.
The purpose of this package is to provide methods to interpret multiple
  linear regression and canonical correlation results including beta weights,structure coefficients, 
  validity coefficients, product measures, relative weights, all-possible-subsets regression,
  dominance analysis, commonality analysis, and adjusted effect sizes.
Deploy, maintain, and invoke models via the Yhat
    REST API.
Modelling the yield curve with some parametric models.
        The models implemented are: 
		Nelson, C.R., and A.F. Siegel (1987) <doi: 10.1086/296409>, 
		Diebold, F.X. and Li, C. (2006) <doi: 10.1016/j.jeconom.2005.03.005> 
		and Svensson, L.E. (1994) <doi: 10.3386/w4871>. 
		The package also includes the data of the term structure of interest rate of Federal Reserve Bank and European Central Bank.
Compute the standard expected years of life lost (YLL),
    as developed by the Global Burden of Disease Study
    (Murray, C.J., Lopez, A.D. and World Health Organization, 1996).
    The YLL is based on comparing the age of death to an external standard life
    expectancy curve. It also computes the average YLL, which highlights premature
    causes of death and brings attention to preventable deaths
    (Aragon et al., 2008).
Convert 'YMD' format number or string to Date efficiently, using Rust's
    standard library. It also provides helper functions to handle Date, e.g., quick
    finding the beginning or end of the given period, adding months to Date, etc.
The Author's personal R Package that contains miscellaneous functions. 
    The current version of package contains miscellaneous functions for brain data 
    to compute Asymmetry Index (AI) and bilateral (L+R) measures and reshape the data.
Write 'YAML' front matter for R Markdown and related
    documents. Work with 'YAML' objects more naturally and write the
    resulting 'YAML' to your clipboard or to 'YAML' files related to your
    project.
Provides a collection of lightweight helper functions (imps) both
  for interactive use and for inclusion within other packages. These include
  functions for minimal input assertions, visualising colour palettes,
  quoting user input, searching rows of a data frame and capturing string
  tokens.
Provides helper functions to perform Bayesian model averaging
    using Markov chain Monte Carlo samples from separate models. Calculates
    weights and obtains draws from the model-averaged posterior for quantities
    of interest specified by the user. Weight calculations can be done using
    marginal likelihoods or log-predictive likelihoods as in Ando, T., & Tsay,
    R. (2010) <doi:10.1016/j.ijforecast.2009.08.001>.
Analyzing performances of cricketers and cricket teams
             based on 'yaml' match data from Cricsheet <https://cricsheet.org/>.
Dataset from the young elite swimmers study.
Semiparametric modeling of lifetime data with crossing survival curves via Yang and Prentice model with baseline hazard/odds modeled with Bernstein polynomials. Details about the model can be found in Demarqui et al. (2019) <arXiv:1910.04475>. Model fitting can be carried out via both maximum likelihood and Bayesian approaches. The package also provides point and interval estimation for the crossing survival times.
For any spending function specified by the user, this 
    package provides corresponding boundaries for interim testing using
    the adaptively weighted log-rank test developed by Yang and Prentice
    (2010 <doi:10.1111/j.1541-0420.2009.01243.x>). 
    The package uses a re-sampling method to obtain stopping boundaries 
    at the interim looks.The output consists of stopping boundaries 
    and observed values of the test statistics at the interim looks, 
    along with nominal p-values defined as the probability of the test 
    exceeding the specific observed test statistic value or critical 
    value, regardless of the test behavior at other looks. 
    The asymptotic validity of the stopping boundaries is established
    in Yang (2018 <doi:10.1002/sim.7958>).
Inference procedures accommodate a flexible range of hazard ratio patterns with a two-sample semi-parametric model. This model contains the proportional hazards model and the proportional odds model as sub-models, and accommodates non-proportional hazards situations to the extreme of having crossing hazards and crossing survivor functions. Overall, this package has four major functions: 1) the parameter estimation, namely short-term and long-term hazard ratio parameters; 2) 95 percent and 90 percent point-wise confidence intervals and simultaneous confidence bands for the hazard ratio function; 3) p-value of the adaptive weighted log-rank test; 4) p-values of two lack-of-fit tests for the model. See the included "read_me_first.pdf" for brief instructions. In this version (1.1), there is no need to sort the data before applying this package.
Provides covariate-adjusted comparison of two groups of right 
    censored data, where the binary group variable has separate short-term 
    and long-term effects on the hazard function, while effects of covariates 
    such as age, blood pressure, etc. are proportional on the hazard. The model 
    was studied in Yang and Prentice (2015) <doi:10.1002/sim.6453> and it extends 
    the two sample version of the short-term and long-term hazard ratio model
    proposed in Yang and Prentice (2005) <doi:10.1093/biomet/92.1.1>. The model 
    extends the usual Cox proportional hazards model to allow more flexible 
    hazard ratio patterns, such as gradual onset of effect, diminishing effect, 
    and crossing hazard or survival functions. This package provides 
    the following: 1) point estimates and confidence intervals for model 
    parameters; 2) point estimate and confidence interval of the average hazard 
    ratio; and 3) plots of estimated hazard ratio function with point-wise and 
    simultaneous confidence bands.
Semiparametric modeling of lifetime data with crossing survival curves via Yang and Prentice model with piecewise exponential baseline distribution. Details about the model can be found in Demarqui and Mayrink (2019) <arXiv:1910.02406>. Model fitting carried out via likelihood-based and Bayesian approaches. The package also provides point and interval estimation for the crossing survival times.
An implementation of equilibrium-based yield per recruit
    methods.  Yield per recruit methods can used to estimate the optimal
    yield for a fish population as described by Walters and Martell (2004)
    <isbn:0-691-11544-3>.  The yield can be based on the number of fish
    caught (or harvested) or biomass caught for all fish or just large
    (trophy) individuals.
An extension for 'NetSurfP-2.0' (Klausen et al. (2019) <doi:10.1002/prot.25674>)
    which is specifically designed to analyze the results of bottom-up-proteomics that is
    primarily analyzed with 'MaxQuant' (Cox, J., Mann, M. (2008) <doi:10.1038/nbt.1511>).
    This tool is designed to process a large number of yeast peptides that produced as a
    results of whole yeast cell-proteome digestion and provide a coherent picture of
    secondary structure of proteins.
Miscellaneous functions for data analysis, portfolio management, graphics, data manipulation, statistical investigation, including descriptive statistics, creating leading and lagging variables, portfolio return analysis, time series difference and percentage change calculation, stacking data for higher efficient analysis.
Simplify working with the 'YouTube Analytics' API <https://developers.google.com/youtube/analytics>. Collect 
    data for your channel including geography, traffic sources, time period, etc.
Simulation and Inference for SDEs and Other Stochastic Processes.
Provides a graphical user interface for the 'yuima' package.
Miscellaneous functions commonly used by 'YuLab-SMU'.
Provides a number of functions to facilitate
  extracting information in 'YAML' fragments from one or 
  multiple files, optionally structuring the information
  in a 'data.tree'. 'YAML' (recursive acronym for "YAML ain't
  Markup Language") is a convention for specifying structured
  data in a format that is both machine- and human-readable.
  'YAML' therefore lends itself well for embedding (meta)data
  in plain text files, such as Markdown files. This principle
  is implemented in 'yum' with minimal dependencies (i.e. only
  the 'yaml' packages, and the 'data.tree' package can be
  used to enable additional functionality).
A fast 'JSON' parser, generator and validator which converts 'JSON', 
    'NDJSON' (Newline Delimited 'JSON') and 'GeoJSON' (Geographic 'JSON') data 
    to/from R objects.  The standard R data types are 
    supported (e.g. logical, numeric, integer) with configurable handling of NULL 
    and NA values. Data frames, atomic vectors and lists are all supported as data 
    containers translated to/from 'JSON'.  'GeoJSON' data is read in as
    'simple features' objects.
    This implementation wraps the 'yyjson' 'C' library which 
    is available from <https://github.com/ibireme/yyjson>.
Provides simple statistics from instruments and observations at sites in the NEON network, and acts as a simple interface for v0 of the National Ecological Observatory Network (NEON) API.
  Statistics are generated for meteorologic and soil-based observations, and are presented for daily, annual, and one-time observations at all available NEON sites.
  Users can also retrieve any dataset publicly hosted by NEON. Metadata for NEON sites and data products can be returned, as well as information on data product availability by site and date. 
  For more information on NEON, please visit <https://www.neonscience.org>. For detailed data product information, please see the NEON data product catalog at <https://data.neonscience.org/data-product-catalog>.
A suite of statistics for identifying areas of the genome under selective pressure. See Jacobs, Sluckin and Kivisild (2016) <doi:10.1534/genetics.115.185900>.
Principled methods for the imputation of zeros, left-censored and missing data in
    compositional data sets (Palarea-Albaladejo and Martin-Fernandez (2015) <doi:10.1016/j.chemolab.2015.02.019>).
Contains the US Census Bureau's 2020 ZCTA to County Relationship 
    File, as well as convenience functions to translate between States, Counties
    and ZIP Code Tabulation Areas (ZCTAs).
An implementation of z-curves - a method for estimating expected discovery 
    and replicability rates on the bases of test-statistics of published studies. The package 
    provides functions for fitting the new density and EM version 
    (Bartoš & Schimmack, 2020, <doi:10.31234/osf.io/urgtn>), censored observations,  
    as well as the original density z-curve (Brunner & Schimmack, 2020, <doi:10.15626/MP.2018.874>). 
    Furthermore, the package provides summarizing and plotting functions for the fitted z-curve objects. 
    See the aforementioned articles for more information about the z-curves, expected discovery 
    and replicability rates, validation studies, and limitations.
Facilitates making a connection to the 
  'Zendesk' API and executing various queries. You can use it to
  get ticket, ticket metrics, and user data. The 'Zendesk' documentation is 
  available at <https://developer.zendesk.com/rest_api
  /docs/support/introduction>. This package is not supported by 
  'Zendesk' (owner of the software).
Provides a %<-% operator to perform multiple,
    unpacking, and destructuring assignment in R. The 
    operator unpacks the right-hand side of an assignment
    into multiple values and assigns these values to 
    variables on the left-hand side of the assignment.
R package accompanying the book Working with dynamic models for agriculture and environment, by Daniel Wallach (INRA), David Makowski (INRA), James W. Jones (U.of Florida), Francois Brun (ACTA). 3rd edition 2018-09-27.
Implements the estimation of local (and global) association measures: Lewontin's D, Ducher's Z, pointwise mutual information, normalized pointwise mutual information and chi-squared residuals. The significance of local (and global) association is accessed using p-values estimated by permutations.
Use behavioural variables to compute period, rhythmicity and other circadian parameters.
  Methods include computation of chi square periodograms (Sokolove and Bushell (1978) <DOI:10.1016/0022-5193(78)90022-X>),
  Lomb-Scargle periodograms (Lomb (1976) <DOI:10.1007/BF00648343>, Scargle (1982) <DOI:10.1086/160554>, Ruf (1999) <DOI:10.1076/brhm.30.2.178.1422>),
  and autocorrelation-based periodograms.
Provides an Interface to 'Zenodo' (<https://zenodo.org>) REST API, 
  including management of depositions, attribution of DOIs by 'Zenodo' and 
  upload and download of files.
This package provides an R wrapper for the Zendesk API
Access, download and locally cache files deposited on 'Zenodo' <https://zenodo.org>.
Graphical tools for visualizing high-dimensional data along a path
 of alternating one- and two-dimensional plots. Note that this
 includes interactive graphics plots based on 'loon' in turn based on 'tcltk'
 (included as part of the standard R distribution).  It also requires 'graph' from Bioconductor.
 For more detail on use and algorithms, see <doi:10.18637/jss.v095.i04>.
Fetch statistics about views, downloads and data volume from 'Zenodo' deposits. The package collects a 'Zenodo' (<https://zenodo.org>) deposit file information, respecting the website scrapping policies.
Uses bootstrap to test zero order correlation being equal to a 
    partial or semi-partial correlation (one or two tailed). Confidence 
    intervals for the parameter (zero order minus partial) can also be
    determined. Implements the bias-corrected and accelerated bootstrap
    method as described in "An Introduction to the Bootstrap" Efron (1983) 
    <0-412-04231-2>.
A system for creating the bilateral trade flow between a country
    pair equal to zero. You provide the data, tell get_zerotradeflow() which 
    variables are of interest and it expands the base by creating the bilateral
    zero trade flow. The bases on the flow of trade between countries only report
    positive trade (greater than zero), however, for some analyzes of gravitacional
    models, data on zero flow is also necessary. Some examples for Gravity Model:
    Figueiredo and Loures (2016) <doi:10.5935/0034-7140.20160015> and
    Yotov, Piermartini, Monteiro and Larch <https://vi.unctad.org/tpa/web/docs/vol2/book.pdf>.
Functions to compute compositional turnover using zeta-diversity,
    the number of species shared by multiple assemblages. The package includes
    functions to compute zeta-diversity for a specific number of
    assemblages and to compute zeta-diversity for a range of numbers of
    assemblages. It also includes functions to explain how zeta-diversity
    varies with distance and with differences in environmental variables
    between assemblages, using generalised linear models, linear models
    with negative constraints, generalised additive models,shape
    constrained additive models, and I-splines.
The advent of genomic technologies has enabled the generation of two-dimensional or even multi-dimensional high-throughput data, e.g., monitoring multiple changes in gene expression in genome-wide siRNA screens across many different cell types (E Robert McDonald 3rd (2017) <doi: 10.1016/j.cell.2017.07.005> and Tsherniak A (2017) <doi: 10.1016/j.cell.2017.06.010>) or single cell transcriptomics under different experimental conditions. We found that simple computational methods based on a single statistical criterion is no longer adequate for analyzing such multi-dimensional data. We herein introduce 'ZetaSuite', a statistical package initially designed to score hits from two-dimensional RNAi screens.We also illustrate a unique utility of 'ZetaSuite' in analyzing single cell transcriptomics to differentiate rare cells from damaged ones (Vento-Tormo R (2018) <doi: 10.1038/s41586-018-0698-6>). In 'ZetaSuite', we  have the following steps: QC of input datasets, normalization using Z-transformation, Zeta score calculation and hits selection based on defined Screen Strength.
Performs Zoom-Focus Algorithm (ZFA) to optimize testing regions for rare variant association tests in exome sequencing data.
Improve the usage of model fitting functions within a piped
    work flow.
A two-part zero-inflated Beta regression model with random 
    effects (ZIBR) for testing the association between microbial abundance 
    and clinical covariates for longitudinal microbiome data. Eric Z. Chen 
    and Hongzhe Li (2016) <doi:10.1093/bioinformatics/btw308>.
Provides MCMC algorithms for the analysis of
        zero-inflated count models. The case of stochastic search
        variable selection (SVS) is also considered.  All MCMC samplers
        are coded in C++ for improved efficiency. A data set
        considering the demand for health care is provided.
Zillow, an online real estate company, provides real estate
    and mortgage data for the United States through a REST API. The
    ZillowR package provides an R function for each API service, making it
    easy to make API calls and process the response into convenient,
    R-friendly data structures.  See
    <https://www.zillow.com/howto/api/APIOverview.htm> for the Zillow API
    Documentation. NOTE: Zillow deprecated their API on 2021-09-30, and
    this package is now deprecated as a result.
Analyze count time series with excess zeros. 
    Two types of statistical models are supported: Markov regression by Yang et al.
    (2013) <doi:10.1016/j.stamet.2013.02.001> and state-space models by Yang et al. 
    (2015) <doi:10.1177/1471082X14535530>. They are also known as observation-driven and 
    parameter-driven models respectively in the time series literature. The functions used for 
    Markov regression or observation-driven models can also be used to fit ordinary regression models 
    with independent data under the zero-inflated Poisson (ZIP) or zero-inflated negative binomial (ZINB) 
    assumption. Besides, the package contains some miscellaneous functions to compute density, distribution, 
    quantile, and generate random numbers from ZIP and ZINB distributions.
Generates Realizations of First-Order Integer Valued Autoregressive Processes with Zero-Inflated Innovations (ZINAR(1)) and Estimates its Parameters as described in Garay et al. (2021) <doi:10.1007/978-3-030-82110-4_2>.
Simulation, exploratory data analysis and Bayesian analysis of the p-order Integer-valued Autoregressive (INAR(p)) and Zero-inflated p-order Integer-valued Autoregressive (ZINAR(p)) processes, as described in Garay et al. (2020) <doi:10.1080/00949655.2020.1754819>.
Cross-Platform 'zip' Compression Library. A replacement for
    the 'zip' function, that does not require any additional external
    tools on any platform.
Some data treated by the Japanese R user require
    unique operations and processing. These are caused by address, Kanji,
    and traditional year representations. 'zipangu' transforms specific
    to Japan into something more general one.
Implementation of zero-inflated Poisson models under Bayesian framework using data augmentation as discussed in Chapter 5 of Zhang (2020) <https://hdl.handle.net/10012/16378>. This package is constructed in accommodating four different scenarios: the general scenario, the scenario with measurement error in responses, the external validation scenario, and the internal validation scenario.
Make working with ZIP codes in R painless with an integrated dataset of U.S. ZIP codes and functions for working with them. 
             Search ZIP codes by multiple geographies, including state, county, city & across time zones. Also included are functions for relating
             ZIP codes to Census data, geocoding & distance calculations.
Estimation methods for zero-inflated Poisson factor analysis (ZIPFA) on sparse data. 
    It provides estimates of coefficients in a new type of zero-inflated regression. 
    It provides a cross-validation method to determine the potential rank of the data in the ZIPFA 
    and conducts zero-inflated Poisson factor analysis based on the determined rank.
Implementation of four extensions of the Zipf distribution: the Marshall-Olkin 
  Extended Zipf (MOEZipf) Pérez-Casany, M., & Casellas, A. (2013) <arXiv:1304.4540>, the Zipf-Poisson Extreme (Zipf-PE), the 
  Zipf-Poisson Stopped Sum (Zipf-PSS) and the Zipf-Polylog distributions. 
  In log-log scale, the two first extensions allow for top-concavity 
  and top-convexity while the third one only allows for top-concavity. 
  All the extensions maintain the linearity associated with the Zipf model in the tail.
Statistical models and utilities for the analysis of word frequency distributions.
	The utilities include functions for loading, manipulating and visualizing word frequency
	data and vocabulary growth curves.  The package also implements several statistical 
	models for the distribution of word frequencies in a population.  (The name of this package 
	derives from the most famous word frequency distribution, Zipf's law.)
We provide a flexible Zero-inflated Poisson-Gamma Model (ZIPG) by connecting both the mean abundance and the variability to different covariates, and build valid statistical inference procedures for both parameter estimation and hypothesis testing. These functions can be used to analyze microbiome count data with zero-inflation and overdispersion. The model is discussed in Jiang et al (2023) <doi:10.1080/01621459.2022.2151447>.
Provides a set of functions for working with American postal codes,
   which are known as ZIP Codes. These include accessing ZIP Code to ZIP Code 
   Tabulation Area (ZCTA) crosswalks, retrieving demographic data for ZCTAs, and 
   tabulating demographic data for three-digit ZCTAs.
Implements Python-style zip for R. Is a more flexible version of cbind.
Permutations tests to identify factor correlated to zero-inflated proportions response. Provide a performance indicator based on Spearman correlation to quantify the part of correlation explained by the selected set of factors. See details for the method at the following preprint e.g.: <https://hal.archives-ouvertes.fr/hal-02936779v3>.
This function produces empirical best linier unbiased predictions (EBLUPs) for Zero-Inflated data and its Relative Standard Error. Small Area Estimation with Zero-Inflated Model (SAE-ZIP) is a model developed for Zero-Inflated data that can lead us to overdispersion situation. To handle this kind of situation, this model is created. The model in this package is based on Small Area Estimation with Zero-Inflated Poisson model proposed by Dian Christien Arisona (2018)<https://repository.ipb.ac.id/handle/123456789/92308>. For the data sample itself, we use combination method between Roberto Benavent and Domingo Morales (2015)<doi:10.1016/j.csda.2015.07.013> and Sabine Krieg, Harm Jan Boonstra and Marc Smeets (2016)<doi:10.1515/jos-2016-0051>.
Assesses evidence for Zipf's Law of Abbreviation in animal vocalisation using IDs, note class and note duration. The package also provides a web plot function for visualisation.
The 'zlib' package for R aims to offer an R-based equivalent of 'Python's' built-in 'zlib' module for data compression and decompression. This package provides a suite of functions for working with 'zlib' compression, including utilities for compressing and decompressing data streams, manipulating compressed files, and working with 'gzip', 'zlib', and 'deflate' formats.
Transformation of laboratory measurements into z or z(log)-value
    based on given or empirical reference limits as proposed in
    Hoffmann et al. 2017 <doi:10.1515/labmed-2016-0087>.
A collection of utility functions that facilitate looking up
    vector values from a lookup table, annotate values in at table for 
    clearer viewing, and support a safer approach to vector sampling, 
    sequence generation, and aggregation.
Calculate and plot scattering matrix coefficients for plane waves at interface.
Fits beta regression and zero-or-one inflated beta regression and obtains Bayesian Inference of the model via the Markov Chain Monte Carlo approach implemented in JAGS.
Fits Dirichlet regression and zero-and-one inflated Dirichlet regression with Bayesian methods implemented in Stan. These models are sometimes referred to as trinomial mixture models; covariates and overdispersion can optionally be included.
'Zoltar' <https://www.zoltardata.com/> is a website that provides a repository of model forecast results
    in a standardized format and a central location. It supports storing, retrieving, comparing, and analyzing time
    series forecasts for prediction challenges of interest to the modeling community. This package provides functions
    for working with the 'Zoltar' API, including connecting and authenticating, getting meta information (projects,
    models, and forecasts, and truth), and uploading, downloading, and deleting forecast and truth data.
Functions, documentation and example data to help divide
    geographic space into discrete polygons (zones).
    The functions are motivated by research into the merits of different zoning systems
    <doi:10.1068/a090169>. A flexible 'ClockBoard' zoning system is
    provided, which breaks-up space by concentric rings
    and radial lines emanating from a central point.
    By default, the diameter of the rings grow according the triangular number sequence
    <doi:10.1080/26375451.2019.1598687> with the first 4 'doughnuts'
    (or 'annuli') measuring 1, 3, 6, and 10 km wide.
    These annuli are subdivided into equal segments (12 by default), creating the
    visual impression of a dartboard. Zones are labelled according to
    distance to the centre and angular distance from North, creating a simple
    geographic zoning and labelling system useful for visualising geographic
    phenomena with a clearly demarcated central location such as cities.
Computes a zonohedron from real vector generators.  The package also computes zonogons (2D zonotopes) and zonosegs (1D zonotopes).  An elementary S3 class for matroids is included, which supports matroids with rank 3, 2, and 1.  Optimization methods are taken from Heckbert (1985) <https://www.cs.cmu.edu/~ph/zono.ps.gz>.
An S3 class with methods for totally ordered indexed
             observations. It is particularly aimed at irregular time series
             of numeric vectors/matrices and factors. zoo's key design goals
             are independence of a particular index/date/time class and
             consistency with ts and base R by providing methods to extend
             standard generics.
This tool provides functions to load, segment and classify zooplankton images. 
  The image processing algorithms and the machine learning classifiers in this package are (will be, since these have not been added yet) direct ports of 
  an early 'python' implementation that can be found at <https://github.com/arickGrootveld/ZooID>. The model weights and datasets (also not added yet) 
  that are a part of this package can also be found at Arick Grootveld, Eva R. Kozak, Carmen Franco-Gordo (2023) <doi:10.5281/zenodo.7979996>.
A free (open source) solution for analyzing digital
  images of plankton. In combination with ImageJ, a free image analysis
  system, it processes digital images, measures individuals, trains for
  automatic classification of taxa, and finally, measures plankton samples
  (abundances, total and partial size spectra or biomasses, etc.).
Includes functions and reference data to 
    generate and manipulate log-ratios (also known as log size index (LSI)
    values) from measurements obtained on zooarchaeological material. Log
    ratios are used to compare the relative (rather than the absolute)
    dimensions of animals from archaeological contexts 
    (Meadow 1999, ISBN: 9783896463883).
    zoolog is also able to seamlessly integrate data and references 
    with heterogeneous nomenclature, which is internally managed by a 
    zoolog thesaurus. 
    A preliminary version of the zoolog methods was first used by 
    Trentacoste, Nieto-Espinet, and Valenzuela-Lamas (2018) 
    <doi:10.1371/journal.pone.0208109>.
You can call zm(), when displaying any active plot to enter an
    interactive session to zoom/navigate any plot. The development
    version, as well as binary releases can be found at
    <https://github.com/cbarbu/R-package-zoom>.
Empowers users to fuzzily-merge data frames with millions or tens of millions of rows in minutes with low memory usage.  The package uses the locality sensitive hashing algorithms developed by Datar, Immorlica, Indyk and Mirrokni (2004) <doi:10.1145/997817.997857>, and Broder (1998) <doi:10.1109/SEQUEN.1997.666900> to avoid having to compare every pair of records in each dataset, resulting in fuzzy-merges that finish in linear time.
Provides utilities for processing and analyzing the files that are exported from a recorded 'Zoom' Meeting. This includes analyzing data captured through video cameras and microphones, the text-based chat, and meta-data. You can analyze aspects of the conversation among meeting participants and their emotional expressions throughout the meeting.
Facilitates making a connection to the 'Zoom' API and executing
  various queries. You can use it to get data on 'Zoom' webinars and 'Zoom'
  meetings. The 'Zoom' documentation is available at 
  <https://developers.zoom.us/docs/api/>. This package is 
  not supported by 'Zoom' (owner of the software).
Combines a forecast of a time series, using the function forecast(), with the dynamic plots from dygraphs.
A tool for calculating z-scores and centiles for weight-for-age, 
    length/height-for-age, weight-for-length/height, BMI-for-age, 
    head circumference-for-age, age circumference-for-age, 
    subscapular skinfold-for-age, triceps skinfold-for-age based on the 
    WHO Child Growth Standards.
Generates well-known integer sequences. 'gmp' package is adopted for computing with arbitrarily large numbers. Every function has hyperlink to its corresponding item in OEIS (The On-Line Encyclopedia of Integer Sequences) in the function help page. For interested readers, see Sloane and Plouffe (1995, ISBN:978-0125586306).
Makes zebra-striped tables (tables with alternating row colors)
    in LaTeX and HTML formats easily from a data.frame, matrix, lm, aov, anova,
    glm, coxph, nls, fitdistr, mytable and cbind.mytable objects.
Functions for obtaining the density, random variates
             and maximum likelihood estimates of the Zero-truncated Poisson lognormal
             distribution and their mixture distribution.
Read '.xls' and '.sbj' files which are written by the
   Microsoft Windows program 'z-Tree'. The latter is a software for
   developing and carrying out economic experiments
   (see <http://www.ztree.uzh.ch/> for more information).
How fast can you type R functions on your keyboard? Find out by running a 'zty.pe' game: export R functions as instructions to type to destroy opponents vessels.
Stein control variates can be used to improve Monte Carlo estimates of expectations when the derivatives of the log target are available. This package implements a variety of such methods, including zero-variance control variates (ZV-CV, Mira et al. (2013) <doi:10.1007/s11222-012-9344-6>), regularised ZV-CV (South et al., 2018 <arXiv:1811.05073>), control functionals (CF, Oates et al. (2017) <doi:10.1111/rssb.12185>) and semi-exact control functionals (SECF, South et al., 2020 <arXiv:2002.00033>). ZV-CV is a parametric approach that is exact for (low order) polynomial integrands with Gaussian targets. CF is a non-parametric alternative that offers better than the standard Monte Carlo convergence rates. SECF has both a parametric and a non-parametric component and it offers the advantages of both for an additional computational cost. Functions for applying ZV-CV and CF to two estimators for the normalising constant of the posterior distribution in Bayesian statistics are also supplied in this package. The basic requirements for using the package are a set of samples, derivatives and function evaluations.
An efficient implementation of the slope method described by Sen (1968) <doi:10.1080/01621459.1968.10480934> plus implementation of prewhitening approaches to determining trends in climate data described by Zhang, Vincent, Hogg, and Niitsoo (2000) <doi:10.1080/07055900.2000.9649654> and Yue, Pilon, Phinney, and Cavadias (2002) <doi:10.1002/hyp.1095>.
A minor collection of HTTP wrappers for the 'Zamzar File Conversion'
    API. The wrappers makes it easy to utilize the API and thus convert
    between more than 100 different file formats (ranging from audio files,
    images, movie formats, etc., etc.) through an R session.  
    For specifics regarding the API, please see <https://developers.zamzar.com/>.
Functions and datasets for bootstrapping from the
book "Bootstrap Methods and Their Application" by A. C. Davison and
D. V. Hinkley (1997, CUP), originally written by Angelo Canty for S.
Various functions for classification, including k-nearest
neighbour, Learning Vector Quantization and Self-Organizing Maps.
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".
Reading and writing data stored by some versions of
'Epi Info', 'Minitab', 'S', 'SAS', 'SPSS', 'Stata', 'Systat', 'Weka',
and for reading and writing some 'dBase' files.
Functions for kernel smoothing (and density estimation)
corresponding to the book:
Wand, M.P. and Jones, M.C. (1995) "Kernel Smoothing".
A powerful and elegant high-level data visualization
system inspired by Trellis graphics, with an emphasis on
multivariate data. Lattice is sufficient for typical graphics needs,
and is also flexible enough to handle most nonstandard requirements.
See ?Lattice for an introduction.
Functions and datasets to support Venables and Ripley,
"Modern Applied Statistics with S" (4th edition, 2002).
A rich hierarchy of sparse and dense matrix classes,
including general, symmetric, triangular, and diagonal matrices
with numeric, logical, or pattern entries.  Efficient methods for
operating on such matrices, often wrapping the 'BLAS', 'LAPACK',
and 'SuiteSparse' libraries.
Generalized additive (mixed) models, some of their extensions and
other generalized ridge regression with multiple smoothing
parameter estimation by (Restricted) Marginal Likelihood,
Generalized Cross Validation and similar, or using iterated
nested Laplace approximation for fully Bayesian inference. See
Wood (2017) <doi:10.1201/9781315370279> for an overview.
Includes a gam() function, a wide variety of smoothers, 'JAGS'
support and distributions beyond the exponential family.
Software for feed-forward neural networks with a single
hidden layer, and for multinomial log-linear models.
Recursive partitioning for classification,
regression and survival trees.  An implementation of most of the
functionality of the 1984 book by Breiman, Friedman, Olshen and Stone.
Contains the core survival analysis routines, including
definition of Surv objects,
Kaplan-Meier and Aalen-Johansen (multi-state) curves, Cox models,
and parametric accelerated failure time models.
Please send bug reports to ismrp@grp.ism.ac.jp.
Please send questions and comments regarding pbdR to
RBigData@gmail.com
Please send bug reports to ismrp@jasp.ism.ac.jp
Please send questions and comments to wccsnow@gmail.com
Please send questions and comments about Rcpp to
rcpp-devel@lists.r-forge.r-project.org
Please send questions and comments regarding RInside to
rcpp-devel@lists.r-forge.r-project.org
Please send bug reports to <ismrp@grp.ism.ac.jp>.
Dane R. Van Domelen <vandomed@gmail.com>
Pedro Rafael D. Marinho <pedro.rafael.marinho@gmail.com>
Renata T C Yokota <renatayokota@gmail.com>
Pedro Rafael Diniz Marinho <pedro.rafael.marinho@gmail.com>
Marcelino De la Cruz <marcelino.delacruz@urjc.es>
Carlos J. Gil Bellosta <cgb@datanalytics.com>
Cesar de Oliveira Ferreira Silva <cesaroliveira.f.silva@gmail.com>
Rodrigo Yudi Palhaci Marubayashi <marubayashi@uel.br>
Berent Ånund Strømnes Lunde <lundeberent@gmail.com>
Jose Roberto Ayala Solares <ichbinjras@gmail.com>
Miguel Angelo Lellis Moreira <miguellellis@hotmail.com>
Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>
Almut E. D. Veraart <a.veraart@imperial.ac.uk>
Luis D. Verde Arregoitia <luis@liomys.mx>
Rafael H. M. Pereira <rafa.pereira.br@gmail.com>
Robin K. S. Hankin <hankin.robin@gmail.com>
Gabriel F. R. Vasconcelos <gabrielrvsc@yahoo.com.br>
Pedro Nascimento de Lima <pedrolima.n@gmail.com>
Pierre Lafaye de Micheaux <lafaye@unsw.edu.au>
Paul E. Santos Andrade <paulefrens@gmail.com>
Caspar J van Lissa <c.j.vanlissa@tilburguniversity.edu>
Edwin Javier Castillo Carreño <edjcastilloca@unal.edu.co>
Stephanie van der Pas <s.l.vanderpas@amsterdamumc.nl>
Ricardo de Matos Simoes <ricardo_dematossimoes@dfci.harvard.edu>
Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>
Blondeau Da Silva Stephane <Stephane.Blondeau-Da-Silva@ac-limoges.fr>
Emilio Akira Morones Ishikawa <emiliomorones@gmail.com>
Luiz Antonio de Jesus Rocha <luiz.rocha@unifesp.br>
Anderson Rodrigo da Silva <anderson.agro@hotmail.com>
Ana Belen Nieto Librero <ananieto@usal.es>
Ricardo Puziol de Oliveira <rpuziol.oliveira@gmail.com>
Rafael de Andrade Moral <rafael.deandrademoral@mu.ie>
Andrey Duvan Rincon Torres <adrincont@unal.edu.co>
Guillaume Kon Kam King <guillaume.konkamking.work@gmail.com>
David Alejandro Martell Juarez <alex91599@gmail.com>
Jianzhao Gao and Xiaodan Fan <gaojz@nankai.edu.cn>
A. Jonathan R. Godfrey <a.j.godfrey@massey.ac.nz>
Rahim Alhamzawi  (University of Al-Qadisiyah) <rahim.alhamzawi@qu.edu.iq>
José Carlos Soage González <jsoage@uvigo.es>
Dr. S. Vishnu Shankar <S.vishnushankar55@gmail.com>
Sy Han (Steven) Chiou <schiou@hsph.harvard.edu>
Francisco H. C. de Alencar <hildemardealencar@gmail.com>
Ivo Van Walle Developer <ivo.van.walle@gmail.com>
Jorge L. C. Musaja <musajajorge@gmail.com>
Ahmad Hakeem Abdul Wahab <hakeemwahab00@gmail.com>
Ting Fung (Ralph) Ma <tingfung.ma@wisc.edu>
Claucio Antonio Rank Filho <claucio.filho@hitechnologies.com.br>
Luis Alfonso Perez Martos <lapm0001@gmail.com>
G. C. Livingston Jr <Glen.LivingstonJr@newcastle.edu.au>
L. A. van der Ark <L.A.vanderArk@uva.nl>
Francesca Marta Lilja Di Lascio <marta.dilascio@unibz.it>
M. A. J. Zondervan-Zwijnenburg <m.zondervan@vilans.nl>
Joyce Moonen - van Loon <j.moonen@maastrichtuniversity.nl>
K. Gerald van den Boogaart <support@boogaart.de>
P. Lafaye de Micheaux <lafaye@unsw.edu.au>
José Manuel Monroy Kuhn <nolozz@gmail.com>
Pierre Lafaye De Micheaux <lafaye@unsw.edu.au>
Wim Van der Elst <Wim.vanderelst@gmail.com>
Erick G.G. de Paz <giles.erick@colpos.mx>
Falco Joannes Bargagli Stoffi <fbargaglistoffi@hsph.harvard.edu>
Nelson Alirio Cruz Gutierrez <nelson-alirio.cruz@uib.es>
Jonas M. B. Haslbeck <jonas.haslbeck@gmail.com>
James A. Fellows Yates <jfy133@gmail.com>
Raoul P. P. P. Grasman <rgrasman@uva.nl>
J. Antonio Guzmán Q. <antguz06@gmail.com>
Wagner Martins dos Santos <wagnnerms97@gmail.com>
Carl A. B. Pearson <carl.pearson@lshtm.ac.uk>
Eduardo L. T. Conceicao <mail@eduardoconceicao.org>
Kevin Allan Sales Rodrigues <kevin.asr@outlook.com>
Ricardo Daniel Marques Salgado <ricardodansalgado@gmail.com>
Jonas Gregorio de Souza <jonas.gregorio@gmail.com>
Alec James van Rassel <alec.van-rassel.1@ulaval.ca>
Philippe J.S. De Brouwer <philippe@de-brouwer.com>
Sean A. S. Anderson <sean.as.anderson@gmail.com>
Marcelino de la Cruz Rot <marcelino.delacruz@urjc.es>
Pedro H. C. Sant'Anna <pedrosantanna@causal-solutions.com>
Md. Mahadi Hassan Nayem <mhnayem.cu.stat@outlook.com>
Don van den Bergh <donvdbergh@hotmail.com>
Roberto de la Banda <dualScale@gmail.com>
Kaique dos S. Alves <kaiquedsalves@gmail.com>
Alexandre Adalardo de Oliveira <ecovirtualpackage@gmail.com>
Mirrelijn M. van Nee <m.vannee@amsterdamumc.nl>
Hector Roux de Bezieux <hector.rouxdebezieux@berkeley.edu>
Dr. Ranjit Kumar Paul <ranjitstat@gmail.com>
Silvia María Franco Anaya <sfrana@unileon.es>
Ardo van den Hout <Ardo.vandenHout@ucl.ac.uk>
Matheus H. J. Saldanha <mhjsaldanha@gmail.com>
Justin A. G. Hubbard <justin.hubbard@mail.utoronto.ca>
Hendrik van der Wurp <vanderwurp@statistik.tu-dortmund.de>
Jesús María Méndez Pérez <jesus.mendez@ticarum.es>
Manuel Oviedo de la Fuente <manuel.oviedo@udc.es>
Caíque de Oliveira de Souza <forestgrowthsoftware@gmail.com>
Clayton Vieira Fraga Filho <forestgrowthsoftware@gmail.com>
Alberson da Silva Miranda <albersonmiranda@hotmail.com>
Nina M. D. Schiettekatte <nina.schiettekatte@gmail.com>
Agnese Maria Di Brisco <agnese.dibrisco@unimib.it>
A. J. Muñoz-Pajares Developer <ajesusmp@ugr.es>
"Vincent ten Cate, PhD" <vincent10kd@gmail.com>
Helgem de Souza Ribeiro Martins <helgem.souza@gmail.com>
S M Mashrur Arafin Ayon <mashrur399@gmail.com>
Shaiful Anuar Abu Bakar <saab@um.edu.my>
Juan Pablo Marin Diaz <jpmarindiaz@gmail.com>
Juan Pablo Ruiz Nicolini <juanpabloruiznicolini@gmail.com>
Paulo Justiniano Ribeiro Jr <paulojus@ufpr.br>
Javier De La Hoz Maestre <jdelahozmaestre@gmail.com>
Teun van den Brand <tahvdbrand@gmail.com>
Vincent T van Hees <v.vanhees@accelting.com>
Xavier Fernández i Marín <xavier.fim@gmail.com>
Caspar J. van Lissa <c.j.vanlissa@tilburguniversity.edu>
Nelson de O. Quesado Filho <nquesado@gmail.com>
Joseph Emile Honour Percival <ipercival@gmail.com>
Anders Gonçalves da Silva <andersgs@gmail.com>
Per August Jarval Moen <pamoen@math.uio.no>
Bastos Fernando de Souza <fernando.bastos@ufv.br>
Antonio Pedro Duarte Silva <psilva@ucp.pt>
Martijn van de Pol <martijn@myscience.eu>
Rafael de Andrade Moral <rafael_moral@yahoo.com.br>
Stephanie van der Pas <svdpas@math.leidenuniv.nl>
"Stefan Rass, on behalf of the Austrian Institute of Technology" <stefan.rass@jku.at>
Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>
Sai Thein Than Tun <theinthantun.sai@gmail.com>
Marcelino de la Cruz <marcelino.delacruz@urjc.es>
Dr. M. Iqbal Jeelani <jeelani.miqbal@gmail.com>
Luiz Eduardo S. Gomes <gomes.leduardo@gmail.com>
Eufrasio de A. Lima Neto <eufrasio@de.ufpb.br>
Luiz Henrique Keng Queiroz Junior <keng@ufg.br>
Paul Efren Santos Andrade <paulefrens@gmail.com>
Tri Ha Minh Nguyen <tringuyen_2023@depauw.edu>
Kleber Morais de Sousa <kleberfinancas@gmail.com>
Yves Ismael Ngounou Bakam <yvesngounou20@gmail.com>
Silvaneo Vieira dos Santos Junior <silvaneo@dme.ufrj.br>
John R. J. Thompson <john.thompson@ubc.ca>
Maria del Mar Quiroga <mar.quiroga@unimelb.edu.au>
Thiago de Paula Oliveira <thiago.paula.oliveira@alumni.usp.br>
Danilo Roberti Alves de Almeida <daniloflorestas@gmail.com>
Carlos Javier Hellin Asensio <carlos.hellin@uah.es>
Carlos Abimael Sarmiento Sanchez <cass9918@hotmail.com>
Rosineide Fernando da Paz <rfpaz2@gmail.com>
"Antoine Tremblay, Statistics Canada" <trea26@gmail.com>
Rune Haubo Bojesen Christensen <Rune.Haubo@gmail.com>
Victor Hugo Soares Ney <victor.s.ney@gmail.com>
Md Riaz Ahmed Khan <mdriazahmed.khan@jacks.sdstate.edu>
Vito M. R. Muggeo <vito.muggeo@unipa.it>
Sergio Andrés Cabrera Miranda <sergio05acm@gmail.com>
Mauricio van den Berg <mauricio.vandenberg@telethonkids.org.au>
Euloge C. Kenne Pagui <kenne@stat.unipd.it>
Fernando Ferraz do Nascimento <fernandofn@ufpi.edu.br>
Antonio Hermes M. da Silva-Junior <hermes@ccet.ufrn.br>
Caspar J. van Lissa <c.j.vanlissa@gmail.com>
João Victor Gomes de Araujo Santana <jvg.santana@gmail.com>
Stephen L R Ellison <s.ellison@lgcgroup.com>
Héctor Manuel Sánchez Castellanos <sanchez.hmsc@berkeley.edu>
Bruno André Rodrigues coelho <bruno@brodrigues.co>
Bert van der Veen <bert_van_der_veen@hotmail.com>
Ludwig Kian Soon Hoon <ldwgkshoon@gmail.com>
Krishna Harsha K H <khkrishnaharsha123@gmail.com>
L. Andries van der Ark <L.A.vanderArk@uva.nl>
Salvador Jesús Fernández Bejarano <salvador.fernandez@vliz.be>
Jose Luis Vicente Villardon <villardon@usal.es>
Mark A. van de Wiel <mark.vdwiel@amsterdamumc.nl>
Hannah De los Santos <hdelossantos653@gmail.com>
Sebastian J. Teran Hidalgo <sebastianteranhidalgo@gmail.com>
Eliot J B McIntire <eliot.mcintire@canada.ca>
Don van den Bergh <d.vandenbergh@uva.nl>
Niels van der Velden <n.s.j.vandervelden@gmail.com>
Maria Jose Ginzo Villamayor <mariajose.ginzo@usc.es>
Pedro Augusto Borges Santos <pabsantos21@gmail.com>
João Pedro Melani Saraiva <jpsaraiva2002@gmail.com>
Carlos de la Calle-Arroyo <carlos.calle.arroyo@gmail.com>
Pedro Nascimento de Lima <plima@rand.org>
Rune Haubo Bojesen Christensen <rune.haubo@gmail.com>
Joao Pedro Oliveira dos Santos <joaopsantos@pm.me>
Bruno do Rosario Petrucci <petrucci@iastate.edu>
F. Marta L. Di Lascio <marta.dilascio@unibz.it>
Geert Roelof van der Ploeg <g.r.ploeg@uva.nl>
"Australian e-Health Research Centre, CSIRO" <ontoserver-support@csiro.au>
Luna Luisa Sanchez Reyes <sanchez.reyes.luna@gmail.com>
Wouter van der Bijl <wouter@zoology.ubc.ca>
Euloge Clovis Kenne Pagui <kenne@stat.unipd.it>
Joaquin Bienvenido Ordieres Mere <j.ordieres@upm.es>
Dr. Himadri Shekhar Roy <himadriiasri@gmail.com>
Marieke van der Maaten-Theunissen <marieke.theunissen@tu-dresden.de>
Wessel N. van Wieringen <w.vanwieringen@vumc.nl>
Gualberto Segundo Agamez Montalvo <gsagamez@gmail.com>
Iago Augusto de Carvalho <iago.carvalho@unifal-mg.edu.br>
Paul van der Laken <paulvanderlaken@gmail.com>
Mijael Rodrigo Vargas Godoy <mirovago@gmail.com>
Thaís de Bessa Gontijo de Oliveira <thais.bgo@gmail.com>
Juan Carlos Gonçalves Dosantos <juan.carlos.goncalves@udc.es>
Blondeau Da Silva Stephane <blondeaudasilva@xlim.fr>
Pedro H. C. Sant'Anna <pedro.h.santanna@vanderbilt.edu>
Robbie C.M. van Aert <R.C.M.vanAert@tilburguniversity.edu>
Jose Sergio Case de Oliveira <js_cdo@hotmail.com>
Peter J. van der Most <p.j.van.der.most@umcg.nl>
Wagner Santos de Lima <wagnersantos.ufs@hotmail.com>
Maria de los Angeles Resa <maria@stat.columbia.edu>
Gabriel de Siqueira Gesteira <gdesiqu@ncsu.edu>
Juan Pablo Acuña González <acua6307@gmail.com>
Achmad Fauzi Bagus F <fauzi.pandya@gmail.com>
Manuel A. Mosquera Rodríguez <mamrguez@uvigo.es>
Katherine A. L. Valeriano <katandreina@gmail.com>
Pedro Mac Dowell Innecco <dmu@pedroinnecco.com>
Christian Alexander Mongeau Ospina <christian+rpkg-repec@mongeau.net>
"Michael Barr, ACAS, MAAA, CPCU" <mike@bikeactuary.com>
Peter van den Berg <peter_v_d_berg@hotmail.com>
Jose Miguel Cotes Torres <jmcotes@unal.edu.co>
Lucas Sebastião de Paula <lucas@ime.eb.br>
Maria del Carmen Calatrava Moreno
<mc.calatrava.moreno@gmail.com>
Manuel David Peris Diaz <madape@alumni.uv.es>
Unai Pérez - Goya <unai.perez@unavarra.es>
Mohammad Hadi Foroughmand Araabi <foroughmand@gmail.com>
Laercio Junio da Silva <laerciojdsilva@gmail.com>
Anh Phan Truong Quynh <anhptq@oucru.org>
Lucas van der Meer <luukvandermeer@live.nl>
M. Yoga Satria Utama <221709801@stis.ac.id>
Niels J. de Winter <niels.de.winter@vub.be>
Douglas Kiarelly Godoy de Araujo <dkg.araujo@gmail.com>
Seung Hyun (Sam) Min <seung.min@mail.mcgill.ca>
Julia de Paula Soares Valente <juliadepaulasoaresvalente@gmail.com>
Jose Manuel Vera Oteo <vera.josemanuel@gmail.com>
Martha Patricia Bohorquez Castañeda <mpbohorquezc@unal.edu.co>
Sy Han (Steven) Chiou <schiou@utdallas.edu>
Dr. Owais Ali Wani <owaisaliwani@skuastkashmir.ac.in>
Francisco Jesús Palomares Alabarce <fpalomares@correo.ugr.es>
Fernando de Souza Bastos <fernando.bastos@ufv.br>
Stephen A Sefick Jr. <ssefick@gmail.com>
Wim Van Der Elst <wim.vanderelst@gmail.com>
Vinicius Quintas Souto Maior <vinicius@de.ufpe.br>
Jesus Maria Rodriguez Rodriguez <jesusmro@gmail.com>
Gabriel Henrique Oliveira Assuncao <gabrielhenryoliver@hotmail.com>
K. Gerald van den Boogaart <boogaart@math.tu-freiberg.de>
Clarke JM van Steenderen <vsteenderen@gmail.com>
Silvestre Garcia de Jalon <s.garciadejalon@gmail.com>
Antonio Fabio Di Narzo <antonio.fabio@gmail.com>
Eraldo B. dos Anjos Filho <ebdaf1@de.ufpe.br>
Henrique Jose de Paula Alves <jpahenrique@gmail.com>
Oscar Alberto Quijano Xacur <oscar.quijano@use.startmail.com>
André F. B. Menezes <andrefelipemaringa@gmail.com>
Juan Pablo Acuña González <22253567@uagro.mx>
Taryn B. T. Athey <taryn.athey@gmail.com>
Adriano Zanin Zambom Developer <adriano.zambom@gmail.com>
Angel Garcia de la Garza <agarciadlg@gmail.com>
"James P. Howard, II" <jh@jameshoward.us>
Giulio Valentino Dalla Riva <me@gvdallariva.net>
Joerg grosse Schlarmann (aka Produnis) <schlarmann@produnis.de>
Caspar J. Van Lissa <c.j.vanlissa@tilburguniversity.edu>
Olivier M. F. Martin <oliviermfmartin@tutanota.com>
Tharso Augustus Rossiter Araújo Monteiro <tharso.augustus@ufpe.br>
1. School of Mathematical & Statistical Sciences, Clemson
University, Clemson, South Carolina, USA 2. Department of
Mathematics & Statistics, University of Agriculture Faisalabad,
Faisalabad, Pakistan
Package 'rjags' requires JAGS executabe file (compatiable
version) should be already installed.
The optmatch package, which is useful for running many of the
provided functions, may be downloaded from Github at
<https://github.com/markmfredrickson/optmatch> if not available
on CRAN. The rrelaxiv package, which provides an alternative
solver for the underlying network flow problems, carries an
academic license and is not available on CRAN, but may be
downloaded from Github at
<https://github.com/josherrickson/rrelaxiv/>.
Maintainers are not available to give advice on using a package
they did not author.
This version is a generalisation for (v=wnl) treatments. In the
version 1.0 we used rectangular right angular (m) association
schemes with (v=2nl) and m=4,5 and 7 associated classes. The
Association schemes used in this R-package are : Rectangular
association scheme; Generalized rectangular right angular
association scheme (4); Generalized rectangular right angular
association scheme (5); Generalized rectangular right angular
association scheme (7).
1. Asian Development Bank (ADB), Islamabad, Pakistan. 2. Benazir
Income Support Programme (BISP), Islamabad, Pakistan. 3.
Department of Mathematics and Statistics, University of
Agriculture Faisalabad, Faisalabad-Pakistan.
One minimum cost flow problem may have several or many solutions
that are equivalent in providing the same minimum total or mean
cost. Minor differences between computers or implementations
may have the minor consequence of altering which equivalent
solution is produced. The optmatch package, which is useful for
running many of the provided functions, may be downloaded from
Github at <https://github.com/markmfredrickson/optmatch> if not
available on CRAN. The rrelaxiv package, which provides an
alternative solver for the underlying network flow problems,
carries an academic license and is not available on CRAN, but
may be downloaded from Github at
<https://github.com/josherrickson/rrelaxiv/>.
This publication was prepared for NCES under Contract No.
ED-IES-12-D-0002/0004 with the American Institutes for
Research. Mention of trade names, commercial products, or
organizations does not imply endorsement by the U.S.
Government.
Supported by internal research project ING01-1516 from
'Universidad de Playa Ancha'
School of Mathematical and Statistical Sciences, Clemson
University, Clemson, South Carolina, USA.
Ver. 1.0: The author obtained financial resources as part of
financing the doctoral scholarship from the Polish National
Science Centre (DEC-2018/28/T/HS4/00095). Ver. 2.0: The
research was supported by the program ''Excellence Initiative -
Research University (IDUB)'' through the project
BOB-IDUB-622-89/2021 - Nowe Idee POB III IDUB, 01/IDUB/2019/94
at the University of Warsaw, Poland.
1. Asian Development Bank (ADB), Islamabad, Pakistan. 2. Benazir
Income Support Programme (BISP), Islamabad, Pakistan. 3.
Department of Mathematics and Statistics, University of
Agriculture Faisalabad, Pakistan.
This publication was prepared for NCES under Contract No.
ED-IES-12-D-0002 with the American Institutes for Research.
Mention of trade names, commercial products, or organizations
does not imply endorsement by the U.S. Government.
This update fixes bugs noted because of global variables not
being recognised as global variables in some environments.
This update fixes bugs in function.Create_Plots,
function.Diagnostic_Accuracy_Tables, and
function.Sample_Size_Calculations_Primary, when typos and
non-entries caused errors in results.
Research funded by the Polish National Science Centre grant under
the contract number DEC-2015/19/N/HS4/00205.
Few parts are still preliminary and might be changed in the near
future. And more functions will be add as easier tools to
higher efficiency in analyzing.
While reporting issues on github start subject line with
[cran-package]
The authors are grateful to Mikhail Kanevski, Federico Amato and
Luciano Telesca for many fruitful discussions about the use and
the application of Fisher-Shannon method.
This software comes with NO warranty! It is NOT intended to be
used in clinical applications! For evaluation only!
The package is also based on the discussion
https://stats.stackexchange.com/questions/168964/building-a-regression-tree-with-r-from-scratch/168967#168967
research product of the RISCOPE project (ANR, project
No.16CE04-0011) <https://perso.math.univ-toulouse.fr/riscope/>.
Department of Genetics and Plant Breeding, University of
Agricultural Sciecnes, Dharwad.
Package 'R2jags' requires JAGS executable file installed
The authors are grateful to Mikhail Kanevski, Michael
Leuenberger, Carmen D. Vega Orozco and Fabian Guignard for many
fruitful discussions about the use of intrinsic dimension in
data mining.
Because IPEDS requirements may change from year to year, having
the most recent version of this package is highly recommended.
Old versions can be found as GitHub branches. The package can
also be used to convert any correctly-prepared data into a
key-value pair format for any survey (IPEDS or non-IPEDS).
Please, cite this package as: Marina Saez (2021). KarsTS: An
Interface For Microclimate Time Series Analysis. R package
version 2.4.1.
Department of Statistics, Bahauddin Zakariya University, Multan,
Pakistan.
Department of Statistics, Bahauddin Zakariya University, Multan,
Pakistan
The originale code was in matlab, see details below.
The developer version of 'keras' should be used, rather than the
CRAN version. The latter will cause tests to fail on an initial
run, but work on subsequent tries. To avoid this, use
devtools::install_github("rstudio/keras"). The user also must
have an installation of 'Python 3'.
a previous version of the library (main version number: 3) was
developed as part of the European Union's Horizon 2020 research
and innovation programme under grant agreement No. 727040
(Virt-EU). The package uses functions from eclat
<https://borgelt.net/eclat.html>, for association rule mining,
Infomap <https://www.mapequation.org>, for the Infomap
community detection method (please refer to their web site for
up-to-date code), and Howard Hinnant's date and time library
<https://github.com/HowardHinnant/date>. The code from these
libraries has been included in our source package.
For convenience, the package includes the necessary header files
for the Eigen distribution. (This is all that is needed to use
that functionality.) You can use an alternative installation of
Eigen on your system or the one we provide. The license for the
Eigen code is very permissive and allows us to distribute it
with this package. See <http://eigen.tuxfamily.org/index.php?
title=Main_Page> and also the License section on that page.
The APT samplers within this package were adapted from MCMC
samplers provided in the NIMBLE package
(https://github.com/nimble-dev/nimble) and developed by the
cited members of the NIMBLE Development Team. The adaptations
for APT included in this package were the work of the package
developer. Many thanks to the NIMBLE Development Team for their
support during the development of this package.
The current version (0.4.2) fixes a numerical issue with
symmetric implementation of the paco_links function.
School of Mathematical & Statistical Sciences, Clemson
University, Clemson, South Carolina, USA
1. School of Mathematical & Statistical Sciences, Clemson
University, Clemson, South Carolina, USA 2. Department of
Mathematics and Statistics, University of Agriculture
Faisalabad, Pakistan
Department of Mathematics and Statistics, University of
Agriculture Faisalabad, Faisalabad-Pakistan.
Research funded by the grant of the National Science Centre,
Poland, under the contract number DEC-2018/31/B/HS4/02021.
The following words are correctly spelled domain-specific terms:
MHC, 'PepMapViz', immunogenicity, linearized, spectrometry,
translational. The package includes large datasets in the
'extdata' directory, which are essential for demonstrating the
functionality and performance of the tools provided. These
datasets are necessary for reproducibility and comprehensive
testing.
This package makes use of the 'pikchr' source code created by
Richard Hipp (<https://pikchr.org>).
Package is in active development; please report errors and
suggestions to rchlumsk@uwaterloo.ca.
NOTICE regarding the transfer of data from Retrosheet: The
information used here was obtained free of charge from and is
copyrighted by Retrosheet. Interested parties may contact
Retrosheet at "www.retrosheet.org".
See http://www.json.org/JSON_checker/test.zip for tests. We now
use code from the libjson project
(http://libjson.sourceforge.net).
Free to use for non-Norwegian institutions, otherwise see
LICENSE.
The development of this package was supported by Carlos
Jaramillo, Center for Tropical Paleoecology and Archaeology at
Smithsonian Tropical Research Institute.
This publication was prepared for NCES under Contract No.
ED-IES-12-D-0009/0005 with Sanametrix and Westat. Mention of
trade names, commercial products, or organizations does not
imply endorsement by the U.S. Government.
The GPU computing version can be found soon, on following url
https://sites.google.com/site/mohamedlaibwebpage/Software.
This package is developed as part of ongoing Ph.D. (Agricultural
Statistics) thesis research work of first author at ICAR-Indian
Agricultural Statistics Research Institute, New Delhi, India.
This package is developed as part of ongoing Ph.D (Agricultural
Statistics) thesis research work of first author at ICAR-Indian
Agricultural Statistics Research Institute, New Delhi, India.
1. School of Mathematical & Statistical Sciences, Clemson
University, Clemson, South Carolina, USA 2. Department of
Mathematics and Statistics, University of Agriculture
Faisalabad, Faisalabad, Pakistan
The author acknowledges financial support from Sao Paulo Research
Foundation (FAPESP) grant 2016/18599-4
This is experimental software distributed free of charge and
comes with no warranty!  Exercise professional caution.
Package TSE works directly from the data set – no hand
calculations required.  Just upload a properly structured data
set (see TESTNUMB and its documentation), properly input column
names (see examples in the functions documentation), and run
your functions.
'TSEind' is a companion package to 'TSE'. Both calculate TSE for
your surveys, but use 'TSEind' if your surveys and the "gold
standard" survey have independent samples, and use 'TSE' if
your surveys and the "gold standard" survey have paired
samples.
'TSEwgt' is a companion package to 'TSE'. Each package calculates
TSE, but the former for multiple, different surveys, and the
latter for a single survey under multiple, different weighting
schemes.
This publication was prepared for NCES under Contract No.
ED-IES-12-D-0002 with American Institutes for Research. Mention
of trade names, commercial products, or organizations does not
imply endorsement by the U.S. government.
2022-11-15 06:15:38 UTC; Kosuke Kashiwabara
2021-12-04 12:57:38 UTC; Javaria Ahamd Khan
2020-09-22 06:18:07 UTC; Benjamin Schlegel
2023-01-18 00:21:38 UTC; Sidharth Macherla
2024-09-08 09:19:25 UTC; Pavlos Pantatosakis
2023-05-17 21:39:10 UTC; Andreas Kuehnapfel
2021-11-28 13:38:57 UTC; Javaria Ahamd Khan
2022-09-20 14:28:28 UTC; Javaria Ahamd Khan
2023-03-26 20:33:56 UTC; Sebastian Weirich
2024-10-11 14:28:46 UTC; Sebastian Weirich
2020-07-14 07:43:10 UTC; Bernardo Sousa Pinto
2024-09-16 09:45:12 UTC; Lennart Oelschläger
2024-06-17 04:42:11 UTC; Carlos Perez Carmona
2018-10-24 16:05:44 UTC; Ashutosh Srivastava
2024-05-17 08:35:02 UTC; Friedemann von Lampe
2015-08-23 02:08:23 UTC; Fernando de Villar
2023-06-11 18:14:04 UTC; Jonas Christoffer
2024-09-06 17:23:04 UTC; Eleanor Pullenayegum
2024-03-20 23:16:49 UTC; Atanu Bhattacharjee
2020-01-08 09:11:00 UTC; Nadezda Spiridovska
2021-04-16 08:59:10 UTC; Ilias Moutsopoulos
2024-10-23 14:31:21 UTC; ADMIN Romain LEROUX
2021-07-12 03:13:21 UTC; Guillaume Boucher
2024-10-14 08:27:50 UTC; Rasmus Puggaard-Rode
2018-04-29 13:45:20 UTC; Alberto Vico Moreno
2023-06-20 20:30:41 UTC; Gonzalo Vazquez-Bare
2017-01-03 15:34:03 UTC; Guybrush Threepwood
2020-05-07 11:07:40 UTC; Kanhaiiya Agrawal
2020-06-08 13:17:19 UTC; Kanhaiiya Agrawal
2019-08-02 17:03:10 UTC; Bernardo Sousa Pinto
2017-08-15 05:32:43 UTC; Aurnov Chattopadhyay
2024-03-27 21:47:34 UTC; Atanu Bhattacharjee
2022-01-08 14:42:05 UTC; Sandeep Patakamuri
2016-03-19 23:54:53 UTC; Sophie Baillargeon
OfficeToPDF -
https://github.com/cognidox/OfficeToPDF, pandoc (>= 1.14) -
https://pandoc.org
Image Magick (for reading non PPM format), dcraw
(for reading RAW images).
ADMIXTOOLS suite of command-line utilities for
population genetics. See
<https://reich.hms.harvard.edu/software> for the most recent
installation instructions and further information.
Alfresco Content Repository (Community or
Enterprise)
Python (>= 3.6.0), (Python) Altair (>= 4.2.0),
vega_datasets (>= 0.9.0). To use image functions for MacOS: X11
None, but greater than 12 GB of RAM highly
recommended.
ImageMagick (http://imagemagick.org) or
GraphicsMagick (http://www.graphicsmagick.org) or LyX
(http://www.lyx.org) for saveGIF(); (PDF)LaTeX for saveLatex();
SWF Tools (http://swftools.org) for saveSWF(); FFmpeg
(http://ffmpeg.org) or avconv (https://libav.org/avconv.html)
for saveVideo()
Rendering the vignette requires pandoc
(<https://pandoc.org/>).
Cargo (Rust's package manager), rustc >= 1.67
libarchive: libarchive-dev (deb), libarchive-devel
(rpm), libarchive (homebrew), libarchive_dev (csw)
Cargo (Rust's package manager), rustc >= 1.70
C++17; for AWS S3 support on Linux, libcurl and
openssl (optional); cmake >= 3.16 (build-time only, and only
for full source build)
Quarto command line tools
(https://github.com/quarto-dev/quarto-cli).
FFmpeg (>= 3.2); with at least libx264 and lame
(mp3) drivers. MacOS Homebrew: ffmpeg. Debian/Ubuntu:
libavfilter-dev. Fedora/RHEL: either ffmpeg-devel from
https://rpmfusion.org (preferred), or libavfilter-free-devel
which is a more limited version available on Fedora/EPEL9.
AWS Java SDK (see README.md for more details)
JAGS (>= 4.3.0) (see
http://mcmc-jags.sourceforge.net)
GDAL (>= 2.2.3): gdal-bin (deb), libgdal-dev (deb)
or gdal-devel (rmp), GEOS (>= 3.4.0), PROJ (>= 4.9.3):
libproj-dev (deb), sqlite3, ImageMagick++: imagemagick (deb),
libmagic-dev (deb), libmagick++-dev (deb) or
ImageMagick-c++-devel (rpm) ImageMagick
(http://imagemagick.org) or GraphicsMagick
(http://www.graphicsmagick.org) or LyX (http://www.lyx.org) for
saveGIF(); (PDF)LaTeX for saveLatex(); SWF Tools
(http://swftools.org) for saveSWF(); FFmpeg (http://ffmpeg.org)
or avconv (https://libav.org/avconv.html) for saveVideo()
Rtools (>= 3.3) for Windows, Xcode (>= 9.0) for Mac
OS X
Preferred genomic operations engine: 'BEDTools',
'BEDOPS' and 'Tabix (>= 1.3)'.
JAGS >=4.3.0 <https://mcmc-jags.sourceforge.io>,
Java JDK >=1.4 <https://www.java.com/en/download/manual.jsp>
grpc/protobuf headers and compilers. For example
libprotobuf-dev libgrpc++-dev protobuf-compiler-grpc (Debian)
or protobuf-devel grpc-devel grpc-plugins (Fedora/RHEL)
Julia (>= 1.7), Bigsimr.jl, Distributions.jl
A few functions from package 'bigsnpr' wrap
existing software such as 'PLINK'
<www.cog-genomics.org/plink2>. Functions are provided to
download these software. Note that these external software
might not work for some operating systems (e.g. 'PLINK' might
not work on Solaris).
A system with a recent-enough C++11 compiler (such
as g++-4.8 or later).
'monobit' for reading/writing additional bitmap
font formats.
Hugo (<https://gohugo.io>) and Pandoc
(<https://pandoc.org>)
LaTeX(texi2dvi) must be present in the system to
create PDF reports
OpenBUGS (>= 3.2.2), hence Windows or x86 Linux
pandoc (>= 1.12.3, needed for vignettes)
'Microsoft Visual Code', 'Rtools' on 'Windows',
'gdb' or 'lldb' depending on which OS
Rtools (suitable for the installed R) for Windows,
Xcode for Mac
FFTW (>=3.3.1); possible package: fftw-devel (rpm),
libfftw3-dev (deb) or fftw (brew).
Python and numpyro are needed for Bayesian
inference computations; python (>= 3.8) with header files and
shared library; numpyro (= v0.12.1;
https://https://num.pyro.ai/en/latest/index.html); arviz (=
v0.15.1; https://https://python.arviz.org/en/stable/)
Cargo (Rust's package manager), rustc (>= 1.66.1)
Google Chrome or other Chromium-based browser.
chromium: chromium (rpm) or chromium-browser (deb)
gsl (with development libraries libgsl-dev)
Cargo (Rust's package manager), rustc (>= 1.67.1),
and GNU Make
pandoc (to create a clinical data review report)
pandoc (for export clin DT to a file - inclusion of
list of interactive plots/objects with knitr)
xclip (https://github.com/astrand/xclip) or xsel
(http://www.vergenet.net/~conrad/software/xsel/) for accessing
the X11 clipboard, or wl-clipboard
(https://github.com/bugaevc/wl-clipboard) for systems using
Wayland.
ZeroMQ (libzmq) >= 4.3.0 (optional; otherwise
bundled)
libarmadillo: apt-get install -y libarmadillo-dev
(deb), libblas: apt-get install -y libblas-dev (deb),
liblapack: apt-get install -y liblapack-dev (deb),
libarpack++2: apt-get install -y libarpack++2-dev (deb),
gfortran: apt-get install -y gfortran (deb), libgmp3: apt-get
install -y libgmp3-dev (deb), libfftw3: apt-get install -y
libfftw3-dev (deb), libtiff5: apt-get install -y libtiff5-dev
(deb)
MOSEK (http://www.mosek.com) and MOSEK License for
use of Rmosek
libcurl: libcurl-devel (rpm) or
libcurl4-openssl-dev (deb).
ImageMagick++: ImageMagick-c++-devel (rpm) or
libmagick++-dev (deb)
awscli: apt install -y awscli (deb), aws-configure:
aws configure (deb)
pdfcrop (part of TexLive) is required to rebuild
the vignettes.
Java (>= 7.0); Stanford CoreNLP
<http://nlp.stanford.edu/ software/corenlp.shtml> (>= 3.5.2)
Intel MKL (optional for optimized BLAS/LAPACK
performance)
libcurl (>= 7.62): libcurl-devel (rpm) or
libcurl4-openssl-dev (deb)
GNU make, pandoc (>=1.12.3, needed for vignettes)
pandoc (>= 2.0; https://pandoc.org), git, whoami
none, one or more of JAGS (>= 3.0.0), WinBUGS (>=
1.4), OpenBUGS (>= 3.2.2), Stan
A version of Fortran supporting the LOG_GAMMA
Intrinsic and the ieee_arithmetic module.
Java (>= 7.0): openjdk-11-jdk (deb),
java-11-openjdk.x86_64 (rpm), openjdk@11 (brew)
OpenSSL(>= 1.0.1), NVIDIA CUDA GPU with compute
capability 3.0 or above and NVIDIA CUDA Toolkit 9.0 or above
fontconfig or zlib (only needed for platforms other
than modern OSX and Windows)
Julia (>= 1.6), DifferentialEquations.jl,
ModelingToolkit.jl
libpq >= 9.0: libpq-dev (deb) or postgresql-devel
(rpm)
LibreOffice (<https://www.libreoffice.org/>)
required to extract data from .doc files or perform .pptx
conversion.
'unrar' (Linux/macOS) or '7-Zip' (Windows) to work
with '.rar' files, GDAL (>= 3.0.2), GEOS (>= 3.8.0), PROJ (>=
6.2.1)
Requires the OpenMP library for parallel computing.
If the OpenMP library is not available, the code is executed
sequentially and a warning is printed.
The package required the jq command line library.
Please check https://stedolan.github.io/jq/download/ for
download instructions.
Python (>= 2.7 or >= 3.5) and elex package
The function render() requires Pandoc
(http://pandoc.org). To use PGP/GnuPG encryption requires gpg.
PROJ (>= 6, https://proj.org/download.html), GDAL
(>= 3, https://gdal.org/download.html), NetCDF(>= 4,
https://www.unidata.ucar.edu/software/netcdf/).
JAGS (>= 4.0.0). For installation instructions, see
http://mcmc-jags.sourceforge.net/
ProtoBuf libraries and compiler version 3.3.0 or
later; On Debian/Ubuntu these can be installed as
libprotoc-dev, libprotobuf-dev and protobuf-compiler, while on
Fedora/CentOS protobuf-devel and protobuf-compiler are needed.
apt-get-pip: apt-get install -y python3-pip (deb),
python3-pip: python3 -m pip install -U pip (deb), numpy: pip3
install -U numpy (deb), cv2: pip3 install -U opencv-python
(deb), matplotlib: pip3 install -U matplotlib (deb), skimage:
pip3 install -U scikit-image (deb), libarmadillo: apt-get
install -y libarmadillo-dev (deb), libblas: apt-get install -y
libblas-dev (deb), liblapack: apt-get install -y liblapack-dev
(deb), libarpack++2: apt-get install -y libarpack++2-dev (deb),
gfortran: apt-get install -y gfortran (deb)
Generally, fastText builds on modern Mac OS and
Linux distributions. Since it uses some C++11 features, it
requires a compiler with good C++11 support. These include a
(g++-4.7.2 or newer) or a (clang-3.3 or newer).
fftw3 (libfftw3-dev (deb), or fftw-devel (rpm))
Cargo (Rust's package manager), rustc >= 1.67.1, xz
Display resolution >= 1280x800; RAM >= 4GB
fluidsynth: fluidsynth-devel (rpm) or
libfluidsynth-dev (deb). On Linux you also need a soundfont
provided by 'fluid-soundfont-gm' (Fedora) or 'sf3-soundfont-gm'
(Debian/Ubuntu)
libarmadillo: apt-get install -y libarmadillo-dev
(deb), libblas: apt-get install -y libblas-dev (deb),
liblapack: apt-get install -y liblapack-dev (deb),
libarpack++2: apt-get install -y libarpack++2-dev (deb),
gfortran: apt-get install -y gfortran (deb)
GNU Scientific Library (GSL). Note: users should
have GSL installed.
(license-free) MATLAB Runtime (MCR) V 9.12, Java
(>=8)
Python (>= 2.4), difflib, fuzzywuzzy ( >=0.15.0 ),
python-Levenshtein ( >=0.12.0 ). Detailed installation
instructions for each operating system can be found in the
README file.
Debian or Ubuntu system with access to Goto Blas,
Intel MKL, Atlas development build as well as a Nvidia GPU with
CUDA support
GDAL (>= 3.1.0, built against GEOS), PROJ, libxml2
libarmadillo: apt-get install -y libarmadillo-dev
(deb)
MongoDB (>= 3.4.0), Python (>= 2.7). Installation
instructions and links can be found in the README file.
'unrar' (Linux/macOS) or '7-Zip' (Windows) to work
with '.rar' files, C++11, GDAL (>= 2.0.1), GEOS (>= 3.8.0),
PROJ (>= 6.2.1)
libgit2 (>= 1.0): libgit2-devel (rpm) or
libgit2-dev (deb)
Chromium-based browser (Google Chrome, Brave, ...)
GPGME: libgpgme-dev (deb), gpgme-devel (rpm) gpgme
(brew). On Linux 'haveged' is recommended for generating
entropy when using the GPG key generator.
C++11 (supporting at least std=c++0x), OpenCL
shared library (provided by an SDK such as AMD/NVIDIA) and
OpenCL headers including the C++ header file (provided by
Khronos if not by SDK)
Python (>= 3.7.0) with header files and shared
library; TensorFlow (>= v2.0.0; https://www.tensorflow.org/);
TensorFlow Probability (v0.8.0;
https://www.tensorflow.org/probability/)
Python (>= 3.6) with header files and shared
library; H2O4GPU (https://github.com/h2oai/h2o4gpu)
V8 engine version 6+ is needed for modern JS and
WASM support. On Debian / Ubuntu install either libv8-dev or
libnode-dev, on Fedora use v8-devel.
GNU make, zlib: zlib1g-dev (deb), zlib-devel (rpm)
Cargo (Rust's package manager), rustc >= 1.56.0
Apache Hadoop >= 2.7.2
(https://hadoop.apache.org/releases.html#Download); Obsolete:
Hadoop core >= 0.19.1 and <= 1.0.3 or CDH3
(https://www.cloudera.com); standard unix tools (e.g., chmod)
LaTeX packages: adjustbox, array, calc, caption,
colortbl, fontspec, graphicx, hhline, hyperref, multirow,
siunitx, tabularx, threeparttable, ulem, wrapfig
Julia (>= 1.0) and Interpretable AI System Image
(>= 1.0.0)
gdal-bin: apt install -y gdal-bin (deb),
libgdal-dev: apt install -y libgdal-dev (deb), libudunits2-dev:
apt install -y libudunits2-dev (deb), libgeos-dev: apt install
-y libgeos-dev (deb), libproj-dev: apt install -y libproj-dev
(deb), unzip: apt install unzip (deb)
ImageMagick (http://imagemagick.org) or
GraphicsMagick (http://www.graphicsmagick.org)
A C library with the fesetround/fegetround
functions.
libxml2 (optional), glpk (>= 4.57, optional)
libtiff, libbz2, libdeflate, libjpeg, liblzma,
libwebp, libzstd, zlib
C++17 or C++11 and OpenCV 3 or newer: libopencv-dev
(Debian, Ubuntu) or opencv-devel (Fedora)
Impala driver to support a 'DBI'-compatible R
interface
libcurl4-openssl-dev pandoc libarchive-dev
libv8-dev (deb)
Complete functionality necessitates Amazon Corretto
(win), and default-jre, pandoc, libxml2-dev,
libpoppler-cpp-dev, libmagick++-dev, optipng, libtesseract-dev,
libleptonica-dev, tesseract-ocr-eng (deb)
pandoc (to export an interactive summary table to a
file)
jupyter, jupyter_kernel_test (Python package for
testing)
libjq: jq-devel (rpm) or libjq-dev (deb)
Optional: libsecret on Linux (libsecret-1-dev on
Debian/Ubuntu, libsecret-devel on Fedora/CentOS)
MOSEK (http://www.mosek.com) and MOSEK license.
Package vignettes based on R Markdown v2 or
reStructuredText require Pandoc (http://pandoc.org). The
function rst2pdf() requires rst2pdf
(https://github.com/rst2pdf/rst2pdf).
procps (linux), ps (macos), wmic (windows)
ImageJ (>=1.48), ij.jar (see
http://imagej.nih.gov/ij/), Java (>=1.6.0)
GNU make (optional), libxml2 (optional), glpk (>=
4.57, optional)
JAGS (>= 3.0.0) (see
http://mcmc-jags.sourceforge.net)
At least trial version of LocalSolver to be
downloaded from http://www.localsolver.com/download.html
C++11, A system with zoneinfo data (e.g.
/usr/share/zoneinfo). On Windows the zoneinfo included with R
is used.
Python 3.x with following modules: PyGMO, NumPy,
and cloudpickle
ADMB version 11 <http://admb-project.org/> for
use.admb=TRUE; see readme.txt
On a Unix-alike, one of the C functions
mach_absolute_time (macOS), clock_gettime or gethrtime. If none
of these is found, the obsolescent POSIX function gettimeofday
will be tried.
memory (>= 4GB) Ubuntu: build-essential,
libxml2-dev, libssl-dev, libcurl4-openssl-dev Windows: Rtools
(>= 3.5)
'Redatam' runtime engine (see https://redatam.org),
The dynamic binary library is downloaded from
<https://redatam-core.s3.us-west-2.amazonaws.com> during the
build step. Currently supported platforms are Windows and Linux
(both for x86-64 processors only)
TensorFlow (https://www.tensorflow.org), Keras
(https://keras.io), TensorFlow Probability
(https://www.tensorflow.org/probability)
A C++17 compiler. Version 8 or later of GCC will be
fine.
gdal (optional), geos (optional), proj (optional),
udunits (optional), gsl (optional), gmp (optional), glu
(optional), jags (optional), mpfr (optional), openmpi
(optional)
JAGS (>= 4.0.0) (see
https://mcmc-jags.sourceforge.io)
libcurl: libcurl-devel (rpm) or
libcurl4-openssl-dev (deb)
A valid account MUST be registered with Microsoft's
Cognitive Services website
<https://www.microsoft.com/cognitive-services/> in order to
obtain a (free) API key. Without an API key, this package will
not work properly.
'libnng' >= 1.6 and 'libmbedtls' >= 2.5, or 'cmake'
and 'xz' to compile NNG and/or Mbed TLS included in package
sources
pandoc, jupyter, jupyter nbconvert ("nbconvert"
python package), pywin32 (on windows)
neo4j (>=3 AND <=5) <https://neo4j.com/>
neo4j - http://www.neo4j.com, cypher-shell -
https://github.com/neo4j/cypher-shell/releases
Python (>= 3.0.0), Neptune (https://neptune.ai/)
cmake (>= 3.2.0) which is used only on Linux or
macOS systems when no system build of nlopt (>= 2.7.0) can be
found.
NetLogo (>= 5.3.1), Java (>= 11), pandoc, OpenSSL,
udunits-2, PROJ.4, GEOS, GDAL, libxml2
python3-dev: apt-get install -y python3-dev (deb),
python3-pip: apt-get install -y python3-pip (deb), numpy: pip3
install numpy (deb), scipy: pip3 install scipy (deb), nmslib:
pip3 install --no-binary :all: nmslib (deb)
JAGS (http://mcmc-jags.sourceforge.net/) for
analysis of Bayesian hierarchical models
A chromium based browser, required by "webshot2"
<https://rstudio.github.io/webshot2/>
GNU make, An ODBC3 driver manager and drivers.
GNU make, pandoc (>= 1.12.3), pandoc-citeproc,
C++17
OpenCV 3 or newer: libopencv-dev (Debian, Ubuntu)
or opencv-devel (Fedora). The QR code detector requires at
least libopencv 4.5.2.
libarmadillo: apt-get install -y libarmadillo-dev
(deb), libblas: apt-get install -y libblas-dev (deb),
liblapack: apt-get install -y liblapack-dev (deb),
libarpack++2: apt-get install -y libarpack++2-dev (deb),
gfortran: apt-get install -y gfortran (deb), libjpeg-dev:
apt-get install -y libjpeg-dev (deb), libpng-dev: apt-get
install -y libpng-dev (deb), libfftw3-dev: apt-get install -y
libfftw3-dev (deb), libtiff5-dev: apt-get install -y
libtiff5-dev (deb)
To use the Localhost of OSRM, you need to build
OSRM
<https://github.com/Project-OSRM/osrm-backend/wiki/Building-OSRM>
locally
pandoc (https://johnmacfarlane.net/pandoc) for
exporting markdown files to other formats.
Rendering the document template requires pandoc (>=
2.0; https://pandoc.org) and for PDFs a TeX distribution, such
as TinyTeX (>= 0.12; https://yihui.org/tinytex/)
For multipoint linkage analysis, 'MERLIN'
(http://csg.sph.umich.edu/abecasis/merlin/index.html).
MERLIN (https://csg.sph.umich.edu/abecasis/merlin/)
for multipoint linkage analysis.
The 'Japanese.Rnw' vignette requires uplatex and
dvipdfmx.
OpenMPI (>= 1.5.4) on Linux, Mac, and FreeBSD.
MS-MPI (Microsoft MPI v7.1 (SDK) and Microsoft HPC Pack 2012 R2
MS-MPI Redistributable Package) on Windows.
'OpenMPI' (>= 1.5.4) on Solaris, Linux, Mac, and
FreeBSD. 'MS-MPI' (Microsoft HPC Pack 2012 R2 MS-MPI
Redistributable Package) on Windows.
Linux, Mac OSX, and Windows, or 'ZeroMQ' library >=
4.0.4. Solaris 10 needs 'ZeroMQ' library 4.0.7 and 'OpenCSW'.
Poppler C++ API: libpoppler-cpp-dev (deb) or
poppler-cpp-devel (rpm), and poppler-data (rpm/deb) package.
MERLIN (https://csg.sph.umich.edu/abecasis/merlin/)
for calculations involving multiple linked markers.
OpenSSL library and headers (openssl-dev or
similar)
aria2: apt-get install -y aria2 (deb), gdal-bin:
apt-get install -y gdal-bin (deb), libgdal-dev: apt-get install
-y libgdal-dev (deb)
libssh >= 0.6.0 (the original, not libssh2)
For Windows users, Rtools (see
https://cran.r-project.org/bin/windows/Rtools/).
pandoc (>= 1.12.3) -
http://johnmacfarlane.net/pandoc
JAGS (>= 4.0.0) (see
https://mcmc-jags.sourceforge.io/)
A POSIX system. Currently Linux and OS X are known
to work. GNU make.
proj 4.4.6 or higher (https://proj.org/)
pandoc (http://pandoc.org) for building Vignettes
and output reports as HTML
'python3' needs to built for the same architecture
R is built for (32 or 64 bit).
Python (>= 3.7), pip (for installing Python
packages), pytrends, pandas, requests
'QGIS' latest or long-term release currently
supported according to the 'QGIS' release schedule
(<https://www.qgis.org/en/site/getinvolved/development/roadmap.html>).
Older 'QGIS' releases are not officially supported, but may
work since 'QGIS' 3.16.
Chromium-based browser (e.g., Chrome, Chromium, or
Brave)
Quarto command line tool
(<https://github.com/quarto-dev/quarto-cli>).
OpenBugs for functions bugs() and openbugs() or
WinBUGS 1.4 for function bugs()
package manual and Vignettes require pandoc (>=
1.14) http://pandoc.org)
python >= 2.6, by default rasciidoc uses a system
installation of asciidoc. If a system installation of asciidoc
is not available, it downloads the sources from
(<http://gitlab.com/asciidoc>). GNU source-highlight is
recommended.
fftw3 (libfftw3-dev (deb), or fftw-devel (rpm)),
pkg-config
Needs a running BaseX server instance. The testuser
with credentials ('Test'/'testBasex') should have admin rights.
cmake, zlib, GNU make, Solaris: g++ is a
requirement
GNU make, pandoc (>= 1.12.3), pngquant, C++17
A valid Bloomberg installation. The API headers and
dynamic library are downloaded from
<https://github.com/Rblp/blp> during the build step. See
<https://bloomberg.github.io/blpapi-docs/cpp/3.24.6> as well as
<https://www.bloomberg.com/professional/support/api-library/>
for API documentation. Currently supported platforms are
Windows and Linux (both for x86-64 processors only) as well as
macOS (for arm64 only).  Other os-cpu pairings are not
supported by Bloomberg and can therefore not be supported here.
MOSEK (http://www.mosek.com) and MOSEK License for
use of Rmosek,
GMP (GNU MP bignum library from
<https://gmplib.org/>)
A 64-bit POSIX OS such as Linux or OS X with IANA
time zone data in /usr/share/zoneinfo as well as a
recent-enough C++11 compiler (such as g++-4.9 or later which is
preferred, g++-4.8 works too). On Windows the zoneinfo included
with R is used; and time parsing support is enabled via a
backport of std::get_time from the LLVM libc++ library.
GNU make, pcre2 (>= 10.00), GLib (>= 2.0.0). On
Windows, no prior installations are necessary, as pre-built
(i.e. cross-compiled) binaries of required libraries are
downloaded from a GitHub repository
(<https://github.com/PolMine/libcl>) during installation. On
macOS, static libraries of Glib are downloaded
(<https://github.com/PolMine/libglib>) if Glib is not present.
A POSIX system. Currently Linux and OS X are known
to work.
MeCab 0.996 (or mecab-ko 0.9.2) or higher, GNU make
GNU make, Intel TBB, Windows: cmd.exe and
cscript.exe, Solaris: g++ is required
An available hiredis library (eg via package
libhiredis-dev on Debian/Ubuntu, hiredis-devel on
Fedora/RedHat, or directly from source from
<https://github.com/redis/hiredis>) can be used but version
1.0.2 is also included and built on demand if needed. The
optional 'rredis' package can be installed from the 'ghrr'
'drat' repo for additional illustrations and tests.
Python (>= 3.7), retriever (>= 3.0.0) (version must
be listed to patch to allow parsing)
xclip (https://github.com/astrand/xclip) or xsel
(http://www.vergenet.net/~conrad/software/xsel/) for accessing
the X11 clipboard
GNU GSL for the GSL random-number generators
HDF5 (>= 1.8.13), little-endian platform
'Redatam' runtime engine (see https://redatam.org),
The dynamic binary library is downloaded from
<https://redatam-core.s3.us-west-2.amazonaws.com> during the
build step. Currently supported platforms are Windows, Linux
and macOS.
'REDUCE' <http://www.reduce-algebra.com>. At least
one of the 'CSL' or 'PSL' dialects must be installed in order
to use the package. Tested with 'REDUCE' releases 6860 and 6558
for both 'CSL' and 'PSL' on Linux, and 6558 and 6339 for 'CSL'
on MacOS
Subversion for install_svn, git for install_git
Presentations written in (R)Markdown require Pandoc
(http://pandoc.org).
'unrar' (Linux/macOS) or '7-Zip' (Windows) to work
with '.rar' files.
Rust 'cargo'; the crate 'libR-sys' must compile
without error
Python (>= 3.7), rgf_python, scikit-learn (>=
0.18.0), scipy, numpy. Detailed installation instructions for
each operating system can be found in the README file.
OpenGL and GLU Library (Required for display in R.
See "Installing OpenGL support" in README.md. Not needed if
only browser displays using rglwidget() are wanted.), zlib
(optional), libpng (>=1.2.9, optional), FreeType (optional)
GLPK library package (e.g., libglpk-dev on
Debian/Ubuntu)
Maxima (https://sourceforge.net/projects/maxima/,
tested with versions 5.42.0 - 5.46.0), needs to be on PATH
iRODS C++ HTTP API 0.2.0
(<https://github.com/irods/irods_client_http_api>)
Java JDK 1.2 or higher (for JRI/REngine JDK 1.4 or
higher), GNU make
GNU make, cmake (>= 3.2.0), gcc, gfortran
libmariadb-client-lgpl-dev or libmariadb-dev or
libmysqlclient-dev, with libssl-dev (deb),
mariadb-connector-c-devel or mariadb-devel (rpm),
mariadb-connector-c or mysql-connector-c (brew)
notepad.exe, mark.exe (>= 8.0) (or mark32.exe and
mark64.exe) and rel_32.exe (see README.txt)
pandoc (>=2.11.3 with 'commonmark_x' processing and
'sourcepos' extension, needed for 'rmarkdown' formats).
pandoc (>=1.14, needed for the vignette)
gmp (>= 4.2.3), mpfr (>= 3.0.0), pdfcrop (part of
TexLive) is required to rebuild the vignettes.
libmariadb-client-dev | libmariadb-client-lgpl-dev
| libmysqlclient-dev (deb), mariadb-devel (rpm), mariadb |
mysql-connector-c (brew), mysql56_dev (csw)
The tools to run 'R CMD SHLIB' on 'Fortran' code.
The used 'Fortran' compiler must support pointer initialization
which is a feature of the 2008 standard.
roger-base (for interface functions only)
GNU Make, GCC Compiler Suite (C and Fortran)
Oracle Instant Client or Oracle Database Client
Poppler Glib interface headers and libraries
(<http://poppler.freedesktop.org/>) [Debian/Ubuntu:
libpoppler-glib-dev, Fedora: poppler-glib-devel]
C++11, GNU make, Windows: cmd.exe and cscript.exe
ProtoBuf libraries and compiler version 3.3.0 or
later; On Debian/Ubuntu these can be installed as
libprotoc-dev, libprotobuf-dev and protobuf-compiler, while on
Fedora/CentOS protobuf-devel and protobuf-compiler are needed.
A C++17 compiler is required as well.
A user API key (which one can request from the
website at <http://www.pushbullet.com>), and one or more
devices to push messages to which may be any one of an (Android
or iOS) phone, a (Chrome or Firefox, or Opera or Safari)
browser or the (Windows or Mac) desktop application provided
the corresponding Pushbullet 'app' has been installed on any
one of these.
QuantLib library (>= 1.25) from
https://quantlib.org, Boost library from https://www.boost.org
GNU make, pandoc (>= 1.12.3), pandoc-citeproc
GNU make, CMake (>= 3.10), pandoc, libarchive,
libregex, libexpat, liblzma, libzstd, liblz4, libz2, libz,
libbcrypt
Cargo (Rust's package manager), rustc >= 1.65.0
"conda (python>=3.6 pytorch torchvision cpuonly
numpy ( >= 1.14.0) matplotlib pandas -c pytorch);
python-minimal, pandoc pandoc-citeproc, qpdf; Python (>=3.6),
pytorch (>=1.4), torchvision, cpuonly, numpy ( >= 1.14.0);
pandoc (>= 2.0), qpdf ( >= 7.0) on Solaris"
ZeroMQ >= 3.0.0: libzmq3-dev (deb) or zeromq-devel
(rpm)
GLPK library, including -dev or -devel part
C++17, zlib headers and libraries, GNU make,
optionally also bzip2 and POSIX-compliant regex functions.
(PDF)LaTeX (https://www.latex-project.org/) with
'pdfpages' package for studentGrowthPlot option in visualizeSGP
to bind together student growth plots into school catalogs
yarn 1.22.17 or higher, Node 12 or higher
Pandoc (http://pandoc.org) needs to installed and
available in the search path.
'SLiM' is a forward simulation software for
population genetics and evolutionary biology. See
<https://messerlab.org/slim/> for installation instructions and
further information. The 'Python' coalescent framework
'msprime' and the 'tskit' module can by installed by following
the instructions at <https://tskit.dev/>.
For playing sounds, a command line system tool for
playing wav-files is required.
Python (>= 2.7.0), TensorFlow
(https://www.tensorflow.org/)
Python (>= 3.6.0), ssw-py (>= 1.0.0). Detailed
installation instructions can be found in the README file.
C++, arrow package with gzip codec, StarPU
For all functions resp. apps: pandoc, LaTeX. For
the edapy() function resp. Statsomat/EDAPY app: Python (>=3).
LilyPond v2.22.1-2+ (needed for rendering sheet
music or writing MIDI files)
Tcl/Tk (>= 8.5), Tktable (>= 2.9, optional)
Tesseract >= 3.03 (libtesseract-dev /
tesseract-devel) and Leptonica (libleptonica-dev /
leptonica-devel). On Debian you need to install the English
training data separately (tesseract-ocr-eng)
pandoc (>= 1.12.3) suggested for using wordreg
function; LaTeX packages tikz, booktabs, dcolumn, rotating,
thumbpdf, longtable, paralist for the vignette
TensorFlow >= 1.13.0 (https://www.tensorflow.org/)
and TensorFlow IO >= 0.4.0 (https://github.com/tensorflow/io)
PhantomJS (https://phantomjs.org), pandoc (>=
1.12.3) - https://pandoc.org.
A C++17 compiler is required; on macOS compilation
version 11.0 or later is required. Optionally cmake (only when
TileDB source build selected), curl (only when TileDB source
build selected)), and git (only when TileDB source build
selected); on x86_64 and M1 platforms pre-built TileDB Embedded
libraries are available at GitHub and are used if no TileDB
installation is detected, and no other option to build or
download was specified by the user.
Python (>= 2.7), python-gdal library (For Windows,
gdal installed via OSGeo4W <https://trac.osgeo.org/osgeo4w/>
recommended) clipboard
A system with zoneinfo data (e.g.
/usr/share/zoneinfo) as well as a recent-enough C++11 compiler
(such as g++-4.8 or later). On Windows the zoneinfo included
with R is used.
Tcl/Tk (>= 8.6). To read and write other formats
than PPM/PGM, PNG and GIF it is required the 'tkImg' for
'Tcl/Tk' (https://sourceforge.net/projects/tkimg/), or the
debian 'libtk-img' package (Ubuntu) or the RPM 'tkimg' package
(Fedora or openSUSE).
LibTorch (https://pytorch.org/); Only x86_64
platforms are currently supported except for ARM system running
macOS.
under Linux, fftwtools needs libfftw3-dev
udunits (>= 2) from
https://www.unidata.ucar.edu/software/udunits/
PARI/GP >= 2.3.0 [strongly recommended for
logkda()]
V8 engine version 6+ is needed for ES6 and WASM
support. On Linux you can build against libv8-dev (Debian) or
v8-devel (Fedora). We also provide static libv8 binaries for
most platforms, see the README for details.
libcurl: libcurl-devel (rpm) or
libcurl4-openssl-dev (deb), GNU make.
Miniconda3 (v23.10.0); BrainStat (reticulate
installation, v0.4.2); Numpy (v1.26.4)
virtuoso-opensource (Linux). For Mac & Windows,
this package can automate Virtuoso installation.
fftw3, GNU make, sox, Ghostscript, libsndfile, GDAL
PhantomJS for taking screenshots, ImageMagick or
GraphicsMagick and OptiPNG for manipulating images.
Java (>= 5.0); WordNet database files (direct
download:
<https://wordnetcode.princeton.edu/3.0/WNdb-3.0.tar.gz>; Debian
and Fedora package: wordnet)
Perl (>= 5.0), Unitex (>= 3.0
http://www-igm.univ-mlv.fr/~unitex/)
Fortran sources included in `tools/x13as_html` are
compiled via `configure`.
libxml2: libxml2-dev (deb), libxml2-devel (rpm)
'ghostscript' or 'pdftk' for editing pdf bookmarks
and/or documentation info entries. 'exiftool' for editing pdf
documentation info entries and/or xmp metadata.
libxslt: libxslt1-dev (deb), libxslt-devel (rpm)
Cargo (>= 1.56) (Rust's package manager), rustc (>=
1.70)
Accurate, Adaptable, and Accessible Error Metrics for Predictive
Models
Reliability and Scoring Routines for the Approach-Avoidance Task
Apps Based Activities for Communicating and Understanding
Statistics
Tools for Approximate Bayesian Computation (ABC)
Data Only: Tools for Approximate Bayesian Computation (ABC)
Array Based CpG Region Analysis Pipeline
Implementation of Artificial Bee Colony (ABC) Optimization
Approximate Bayesian Computational Model for Estimating P2
Approximate Bayesian Computation via Random Forests
Asymptotically Bias-Corrected Regularized Linear Discriminant
Analysis
Adaptive Bootstrap Inference for Mediation Analysis with
Enhanced Statistical Power
Databases Used Routinely by the Brazilian Jurimetrics
Association
Useful Tools for Jurimetrical Analysis Used by the Brazilian
Jurimetrics Association
Arellano-Bond LASSO Estimator for Dynamic Linear Panel Models
Modelling Multivariate Data with Additive Bayesian Networks
Measure a Subject's Abnormality with Respect to a Reference
Population
The Abnormal Blood Profile Score to Detect Blood Doping
Quality-of-Life Solver for "Measuring Quality of Life under
Spatial Frictions"
Variable Selection in Nonparametric Models using B-Splines
R Interface to the A/B Street Transport System Simulation
Software
An R-Shiny Application for Creating Visual Abstracts
Survival Analysis using Time Dependent Covariate for Animal
Breeding
High-Dimensional Principal Fitted Components and Abundant
Regression
Inferring Directional Conservative Causal Core Gene Networks
Abrupt Change-Point or Aberration Detection in Point Series
Colour Plots with Palettes from Academic Institutions
Access the Twitter Academic Research Product Track V2 API
Endpoint
A Canonical Correlation Analysis with Inferential Guaranties
Functions for Processing Accelerometer Data
Missing Value Imputation for Accelerometer Data
The Acute COPD Exacerbation Prediction Tool (ACCEPT)
Creation and Evaluation of Acceptance Sampling Plans
Acceptance-Rejection Method for Generating Pseudo-Random
Observations
Command Line Tools to Produce Accessible Documents using 'R
Markdown'
Improving the Accessibility of 'rmarkdown' Documents
Accrual Plots and Predictions for Clinical Trials
Natural Abundance Correction of Mass Spectrometer Data
Query the Attentional Control Data Collection
Tools for Autoregressive Conditional Duration Models
Analysis of Correlated High-Dimensional Expression (ACE) Data
Optimal Bayesian Experimental Design using the ACE Algorithm
Analisis Computacional de Eventos de Protesta
ACE and AVAS for Selecting Multiple Regression Transformations
ACE Kin Pair Data Simulations and Model Fitting
Estimating Dynamic Heritability and Twin Model Comparison
Robust Estimation of the ACF from the M-Periodogram
Automated Retrieval of ACLED Conflict Event Data
Affymetrix SNP Probe-Summarization using Non-Negative Matrix
Factorization
Modelling Dependence with Multivariate Archimax (or any
User-Defined Continuous) Copulas
Exclusion-Based Parentage Assignment Using Multilocus Genotype
Data
A Tool for Automating the Statistical Disclosure Control of
Research Outputs
A Cost-Minimal Regular Spanning Subgraph with TreeClust
Download, Manipulate, and Present American Community Survey and
Decennial Data from the US Census
Algorithmic Complexity for Short Strings
Data Only: Algorithmic Complexity of Short Strings (Computed via
Coding Theorem Method)
ACSS, Corresponding ACSS, and GLP Algorithm
A Companion Package for the Book "A Course in Statistics with R"
Asymptotic Classification Theory for Cognitive Diagnosis
Extract Circadian Rhythms Metrics from Actigraphy Data
Activity Fragmentation Metrics Extracted from Minute Level
Activity Data
Generate Activity Counts from Raw Accelerometer Data
A 'Shiny' App to Analyze Accelerometer-Measured Daily Physical
Behavior Data
Utilities for Parsing and Plotting Activities
Finding Cancer Driver Proteins with Enriched Mutations in
Post-Translational Modification Sites
Gaussian Process Based Design and Analysis for the Active
Subspace Method
Integrative Pathway Enrichment Analysis of Multivariate Omics
Data
Activity Index Calculation using Raw 'Accelerometry' Data
Advanced Processing and Chart Generation from activPAL Events
Files
Read in Activity Data and Plot Actograms
Actuarial Functions and Heavy Tailed Distributions
Handling Hierarchically Structured Risk Factors using Random
Effects Models
Computation of Actuarial Measures Using Bell G Family
Create Actuarial Experience Studies: Prepare Data, Summarize
Results, and Create Reports
A Package for Displaying Visual Scenes as They May Appear to an
Animal with Lower Acuity
Optimal Out-of-Sample Forecast Evaluation and Testing under
Stationarity
Acute Chronic Workload Ratio Calculation
The R Package Ada for Stochastic Boosting
Applies Multiclass AdaBoost.M1, SAMME and Bagging
Estimator of the Adherer Average Causal Effect
Discrete and Global Optimization Routines
Adaptive Huber Estimation and Regression
Archetypoid Algorithms and Anomaly Detection
Adaptive Nature-Inspired Algorithms for Hybrid Genetic
Optimization
Adaptive Approaches for Signal Detection in Pharmacovigilance
Bayesian Adaptive Designs for Diagnostic Trials
Adaptive Bioequivalence Design for In-Vitro Permeation Tests
Implementation of a Generic Adaptive Monte Carlo Markov Chain
Sampler
Adaptive P-Value Thresholding for Multiple Hypothesis Testing
with Side Information
Automated Deconvolution Augmentation of Profiles for Tissue
Specific Cells
Adaptive Sampling for Positive Unlabeled and Label Noise
Learning
Adaptive Smoothing Spline (AdaSS) Estimator for the
Function-on-Function Linear Regression
'Arrow' Database Connectivity ('ADBC') Driver Manager
'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' Driver
'Arrow' Database Connectivity ('ADBC') 'SQLite' Driver
'DBI' Compliant Database Access Using 'ADBC'
Binomial and Multinomial Additive Hazard Models
Fit Additive Hazards Models for Survival Analysis
Discover and Install Useful RStudio Addins
'RStudio' Addins for Show Outline of a R Markdown/'LaTeX'
Project
Additive Data Envelopment Analysis Models
Additivity Tests in the Two Way Anova with Single Sub-Class
Numbers
Adds Labeled Center Line and Scale Lines/Regions to Trellis
Plots
Analysis of Accelerated Destructive Degradation Test Data
Analysis of Ecological Data: Exploratory and Euclidean Methods
in Environmental Sciences
Exploratory Analysis of Genetic and Genomic Data
An S4 Lattice-Based Package for the Representation of
Multivariate Data
Analysis of Habitat Selection by Animals
Group Lasso and Elastic Net Solver for Generalized Linear Models
Exploratory Analyses for the Phylogenetic Comparative Method
A 'shiny' Application for the (Audio-)Visualization of Adverse
Event Profiles
Adequacy of Probabilistic Models and General Purpose
Optimization
Estimation in Optimal Adaptive Two-Stage Designs
Import from and Export to Amiga Disk Files
Get Adform Ads Data via the 'Windsor.ai' API
Assess Medication Adherence from Pharmaceutical Claims Data
Adjacency-Constrained Clustering of a Block-Diagonal Similarity
Matrix
Computing Sensitivity at a Fix Value of Specificity and Vice
Versa as Well as Bootstrap Metrics for ROC Curves
Parameter and Adjusted Probability Estimation for Right-Censored
Data
Remove Automated and Repeated Downloads from 'RStudio' 'CRAN'
Download Logs
Confounder-Adjusted Survival Curves and Cumulative Incidence
Functions
Accident and Development Period Adjusted Linear Pools for
Actuarial Stochastic Reserving
Utility Functions and Development Tools for the Admiral Package
Family
Oncology Extension Package for ADaM in 'R' Asset Library
Pediatrics Extension Package for ADaM in 'R' Asset Library
Vaccine Extension Package for ADaM in 'R' Asset Library
Adaptive Mixture of Student-t Distributions
Package Admix for Admixture (aka Contamination) Models
An Interface for Running 'ADMIXTOOLS' Analyses
Algorithms using Alternating Direction Method of Multipliers
Alternating Direction Method of Multipliers to Solve Dense
Dubmatrix Problem
Penalized Precision Matrix Estimation via ADMM
Estimate and Manipulate Age-Depth Models
Ancient Demographic Modelling Using Radiocarbon
No-U-Turn MCMC Sampling for 'ADMB' Models
Adoption Probability, Triers and Users Rate of a New Product
Fast Clustering Using Adaptive Density Peak Detection
Use Least Squares Polynomial Regression and Statistical Testing
to Improve Savitzky-Golay
Design and Analysis of Locally or Globally Efficient Adaptive
Designs
Upper Clopper-Pearson Confidence Limits for Burn-in Studies
under Additional Available Information
Solving 1D Advection Bi-Flux Diffusion Equation
Interactive R Tutorials to Accompany Field (2016), "An Adventure
in Statistics"
'shiny' Application for Adverse Event Analysis of 'OnCore' Data
Automatic Direct Variable Selection via Interrupted Coefficient
Estimation
Wavelet Analysis of Genomic Data from Admixed Populations
Access Data from the Atlas do Estado Brasileiro
Automated and Early Detection of Disease Outbreaks
Change Point Analysis in ARIMA Forecasting
Automated and Early Detection of Seasonal Epidemic Onset
Statistical Modelling for Asymmetric Exponential Power
Distribution
A Computational Tool for Aerobiological Data
Estimate Aerosol Particle Collection Through Sample Lines
Model-Based Estimation of Confounder-Adjusted Attributable
Fractions
Produce Charts Following UK Government Analysis Function
Guidance
Government Analysis Function Recommended Accessible Colour
Palette
Diagnosis Performance Using Attributable Fraction
Accelerated Functional Failure Time Model with
Error-Contaminated Survival Times
A Finer Way to Render 3D Illustrated Objects in 'grid' Using
Affine Transformations
Raster Georeferencing, Grid Affine Transforms, Cell Abstraction
The Attributable Fraction (AF) Described as a Function of
Disease Heritability, Prevalence and Intervention Specific
Factors
Functions for Atomic Force Microscope Force-Distance Curves
Analysis
Tools for Modelling of Animal Flight Performance
Toolkit for Regression Analysis of Kazakhstan Banking Sector
Data
Africa Macroeconomic Monitor Database API
Accelerated Failure Time Model with Generalized Estimating
Equations
Accelerated Failure Time for High Dimensional Data with MCMC
R-Squared Measure under Accelerated Failure Time (AFT) Models
Semiparametric Accelerated Failure Time Model
Model Diagnostics for Accelerated Failure Time Models
Toolbox for Downloading and Extracting Copernicus AgERA5 Data
Calculate 'ActiGraph' Counts from Accelerometer Data
Collection of Functions for Working with Age Intervals
Agnostic Fay-Herriot Model for Small Area Statistics
Aggregate Numeric, Date and Categorical Variables
Utilities for Aggregating Probabilistic Forecasts
Relationship Matrices for Diploid and Autopolyploid Species
Adaptive Gauss Hermite Quadrature for Bayesian Inference
Aggregation Operators and Preordered Sets
Agreement Interval of Two Measurement Methods
Statistical Procedures for Agricultural Research
Visualization of Design of Experiments from the 'agricolae'
Package
Tutorial Analysis of Some Agricultural Experiments
Utilities for Data Analysis in Agriculture
Evapotranspiration and Energy Fluxes Spatial Analysis
Calculate Concentration and Dispersion in Ordered Rating Scales
Experimental Statistics and Graphics for Agricultural Sciences
Regression Analysis Linear and Nonlinear for Agriculture
Stability Analysis for Agricultural Research
Data Analysis of Pesticide Application Technology
Crosswalk Municipality and District Statistics in Germany
Adaptive and Automatic Gradient Boosting Computations
An R Implementation of the 'Align-GVGD' Method
Regularization for Semiparametric Additive Hazards Regression
Additive Heredity Model: Method for the Mixture-of-Mixtures
Experiments
Functions and Data for the Book 'Applied Hierarchical Modeling
in Ecology' Vols 1 and 2
An Implementation of the Artificial Hydrocarbon Networks
Fast Searching for Multiple Keywords in Multiple Texts
Analytic Hierarchy Process for Survey Data
Consistency in the Analytic Hierarchy Process
Hybrid Method for Multiple Criteria Decision-Making (MCDM)
Flexible Parametric Accelerated Hazards Models
Calculates Continuous Time Likelihood Ratio Weights Assuming
Multiplicative Intensity Models and Additive Hazard Models
Build, Predict and Analyse Artificial Intelligence Models
Testing for Compositional Pathologies in Datasets
Model Selection and Multimodel Inference Based on (Q)AIC(c)
Model Selection of PERMANOVA Models Using AICc
Additive Information & Details of Evidence Synthesis
Read AIFF Files and Convert to WAVE Format
Experimental Evaluation of Algorithm-Assisted Human
Decision-Making
Irish Weather Observing Stations Hourly Records for 2017
AI Assistant to Write and Understand R Code
Download Mexico City Pollution, Wind, and Temperature Data
Exposure Model to Air Pollutants Based on Mobility and Daily
Activities
Suite of GR Hydrological Models for Precipitation-Runoff
Modelling
Hydro-Meteorological Catchments Datasets for the 'airGR'
Packages
Ensemble-Based Data Assimilation with GR Hydrological Models
'airGR' Integrated Water Resource Management
Teaching Hydrological Modelling with the GR Rainfall-Runoff
Models ('Shiny' Interface Included)
Retrieve 'AirNow' Air Quality Observations and Forecasts
Convenience Tools for Working with Airport Data
Air Quality Measurements in Spain from 2011 to 2018
AIRR Data Representation Reference Library
Evaluation of Algorithm Collections Using Item Response Theory
AI Screening Tools in R for Systematic Reviewing
Additive Isotonic Proportional Hazards Model
Interpolation of Irregularly and Regularly Spaced Data
Immunoglobulin Clonal Lineage and Diversity Analysis
Download, Merge, and Process Redistricting Data
Adaptive Lasso for the Cox Regression with Interval Censored and
Possibly Left Truncated Data
PARAFAC Analysis of Fluorescence Excitation-Emission Matrices
Estimating Length-Based Indicators for Fish Stock
Quantile Regression Using Asymmetric Laplace Distribution
Adjusted Limited Dependent Variable Mixture Models
Interpretable Machine Learning and Statistical Inference with
Accumulated Local Effects (ALE)
Accumulated Local Effects (ALE) Plots and Partial Dependence
(PD) Plots
Dynamic Model of Ammonia Emission from Field-Applied Manure
Estimating Absolute Protein Quantities from Label-Free LC-MS/MS
Proteomics Data
Connectivity to 'Alfresco' Content Management Repositories
Downloading Time Series from ALFRED Database for Various
Vintages
Tools to Query the Algaebase Online Database, Standardize
Phytoplankton Taxonomic Data, and Perform Functional Group
Classifications
Haplotype Two Snips Out of a Paired Group of Patients
Implement an Address Search Auto Completion Menu on 'Shiny' Text
Inputs Using the 'Algolia Places' 'Javascript' Library
Allows you to Easily Interact with the Algorithmia Platform
Converts Human gene symbols to entrez IDs
Estimate Invasive and Alien Species (IAS) Introduction Rates
A Modified DTW Algorithm for Stratigraphic Time Series Alignment
Multiple Group Item Response Theory Alignment Helpers for
'lavaan' and 'mirt'
Pre-Processing XY Data from Experimental Methods
Acknowledge all Contributors to a Project
Allele Imputation and Haplotype Reconstruction from Pedigree
Databases
Identifying Unique Multilocus Genotypes where Genotyping Error
and Missing Data may be Present
Allele Retention, Inbreeding, and Demography
Predict and Visualize Population-Level Changes in Allele
Frequencies in Response to Climate Change
Calculating Multiple Performance Metrics of a Prediction Model
Acute Lymphoblastic Leukemia Maintenance Therapy Analysis
Interface for 'All of Us' Researcher Workbench
Removing Allometric Effects of Body Size in Morphological
Analysis
ALLelic Spectrum of Pleiotropy Informed Correlated Effects
Datasets from the Survival TV Series Alone
Model Classifier for Binary Classification
Fit GLM's with High-Dimensional k-Way Fixed Effects
Algorithms for High-Throughput Sequencing of Antigen-Specific T
Cells
Confidence Intervals for Coefficient Alpha and Standardized
Alpha
Generalization of the Convex Hull of a Sample of Points in the
Plane
Set Alpha Based on Sample Size Using Bayes Factors
Obtain Alpha-Outlier Regions for Well-Known Probability
Distributions
Partition/Decomposition of Breeding Values by Paths of
Information
Implementation of the 3D Alpha-Shape for the Reconstruction of
3D Sets from a Point Cloud
Lightweight Interface to the Alpha Vantage API
Adaptive Lasso Quantile Regression with Fixed Effects
Data to Accompany Applied Linear Regression 4th Edition
Multivariate Curve Resolution Alternating Least Squares
(MCR-ALS)
Accelerated line search algorithm for simultaneous orthogonal
transformation of several positive definite symmetric matrices
to nearly diagonal form
Package Documentation Websites with 'Quarto', 'Docsify',
'Docute', or 'MkDocs'
Detection of Altered Protein Quantitative Relationships
Provides an Interface to the NREL Alternate Fuels Locator
Optimal Experimental Designs for Accelerated Life Testing
Alternative Estimators to Adjusted R-Squared
Accessing and Analyzing Large-Scale Environmental Data
Alternating Manifold Proximal Gradient Method for Sparse PCA
An Interface to the 'AutoNavi Maps' API Geocoding Services
Get Amazon Ads Data via the 'Windsor.ai' API
Get Amazon S3 Data via the 'Windsor.ai' API
Get Amazon Sp Data via the 'Windsor.ai' API
Simulation and Estimation of Ambit Processes
Generate LaTeX Code for Auto-Multiple-Choice (AMC)
Anomaly Detection with Normal Probability Functions
Additive and Multiplicative Effects Models for Networks and
Relational Data
American Politics-Inspired Color Palette Generator
Checks for Various Computing Environments
Compute the Adjusted Market Inefficiency Measure
Additive Main Effects and Multiplicative Interaction Model
Stability Parameters
Automated Moderated Nonlinear Factor Analysis Using 'M-plus'
Tractable Parametric Odds-Based Regression Models
Statistical Test for the Multivariate Point Null Hypotheses
An Algorithm for Automatic Peak Detection in Noisy Periodic and
Quasi-Periodic Signals
Shiny Apps to Support Capacity Building on Harvest Control Rules
Statistical Analysis of Amplicon Data of the Same Sample to
Identify Artefacts
Clinical Scores Calculator for Healthcare
Analysis of Codon Data under Stationarity using a Bayesian
Framework
Targeted Differential and Global Enrichment Analysis of
Taxonomic Rank by Shared Asvs
Simple and Canonical Correspondence Analysis
Analogue and Weighted Averaging Methods for Palaeoecology
Data Analysis and Automated R Notebook Generation
Assigning Ancestry Based on Population References
Construct Natural-Language Lists with Internationalization
Asynchronous Disk-Based Representation of Massive Data
Make Spectroscopic Data Processing Easier
Simulate a Bus Route Creel Survey of Anglers
Imports Log Files from Angstrom Engineering Thermal Evaporator
Tools for 'ROMS' the Regional Ocean Modeling System
Inferring Dominance Hierarchies and Estimating Uncertainty
Extended Kalman Filters for Animal Movement
Networks Characterising the Physical Configurations of Animal
Habitats
Analyse Animal Sequential Behaviour and Communication
A Web-Based Graphics Device for Animated Visualisations
A Gallery of Animations in Statistics and Utilities to Create
Animations
Visualizing Changes in Performance Measures and Demographic
Affiliations using Animation
Animated Interactive Grammar of Graphics
A Collection of ML Tools for Conservation Research
Animation of Multiple Trajectories with Uncertainty
Statistical Network Analysis of Animal Social Networks
Animate Shiny and R Markdown Content when it Comes into View
Compute High Dimensional Orthant Probabilities
Artificial Neural Networks for Anomaly Detection
Annotated Matrix: Matrices with Persistent Row and Column
Annotations
Annotate the Gene Symbols for Probes in Expression Array
Extract Subsequences from GenBank Annotations
Image Annotation and Polygon Outlining using Free Drawing
A Non-Parametric Statistical Test to Compare Clustering
Structures
Analysis of Moderation with the Monte Carlo Confidence Interval
Method
Analyses of Proportions using Anscombe Transform
Interactive Document for Working with Analysis of Variance
Create Datasets with Identical Summary Statistics
Functions and Data for the Book "Applied Nonparametric
Statistical Methods", 5th Edition
Import, Manipulate and Explore the Results of an 'Antares'
Simulation
Computation of the WHO Child Growth Standards
Computation of the WHO 2007 References for School-Age Children
and Adolescents (5 to 19 Years)
An R Package for the Mean Measure of Divergence (MMD)
Statistical Methods for Anthropometric Data
Antibody Titer Analysis of Vaccinated Patients
Extract Text from Microsoft Word Documents
Sleep Quality and Anxiety in Confinement
Query 'nycflights13'-Like Air Travel Data for Given Years and
Airports
Install and Load Any Package from CRAN, Bioconductor or Github
Anything to 'POSIXct' or 'Date' Converter
Bootstrapping in Different One-Way and Two-Way ANOVA
Analysis of Overdispersed Data using S3 Methods
Data from the 'Access to Opportunities Project (AOP)'
A-Optimal Block Designs for Comparing Test Treatments with
Controls
Inference in the Balanced One-Way ANOVA Model with Random Factor
Classic, Nonparametric and Bayesian One-Way Analysis of Variance
Panel
Format Outputs of Statistical Tests According to APA Guidelines
Visualization of Clonal Expansion for Single Cell Immune
Profiles
Create American Psychological Association (APA) Style Tables
Create R Markdown Text for Results in the Style of the American
Psychological Association (APA)
Resolving Plant Taxon Names Using the Australian Plant Census
Analysis of Unreplicated Orthogonal Experiments using All
Possible Comparisons
A New Age-Period-Cohort Model for Describing and Investigating
Inter-Cohort Differences and Life Course Dynamics
Routines for Descriptive and Model-Based APC Analysis
An Implementation of the Additive Polynomial Design Matrix
Advanced Pathway Enrichment Analysis Representation
Phylogenetic Methods for Multiple Gene Data
Create Interactive Chart with the JavaScript 'ApexCharts'
Library
Multiple Testing Approach using Average Power Function (APF) and
Bayes FDR Robust Estimation
Analysis with Profile Hidden Markov Models
Statistical Inference and Prediction of Annotations in
Phylogenetic Trees
Functions and Data Sets for the Book "A Progressive Introduction
to Linear Models"
Auto-Adaptive Parentage Inference Software Tolerant to Missing
Parents
Interface to 'episensr' for Sensitivity Analysis of
Epidemiological Results
Datasets from Hosmer, Lemeshow and Sturdivant, "Applied Logistic
Regression" (3rd Ed., 2013)
Decorate a 'ggplot' with Associated Information
Another Plot Package: 'Bagplots', 'Iconplots', 'Summaryplots',
Slider Functions and Others
Automated Population Pharmacokinetic Dataset Assembly
Prioritize and Delete Erroneous Taxa in a Large Phylogenetic
Tree
Tools for Choice Model Estimation and Application
Interface to 'AppEEARS' NASA Web Services
Adjusted Prediction Model Performance Estimation
Get Apple Search Ads Data via the 'Windsor.ai' API
A Compilation of Applicability Domain Methods
Functions and Data Sets for 'Applied Predictive Modeling'
Amyloid Propensity Prediction Neural Network
Code and Obtain Customized Planned Comparisons with 'appRiori'
Bayesian Prediction of Complex Computer Codes
Approximately Optimal Fine Balance Matching with Multiple Groups
Get Data from 'Appsflyer' via the 'Windsor.ai' API
Datasets from Draper and Smith "Applied Regression Analysis"
(3rd Ed., 1998)
Amdahl's Profiler, Directed Optimization Made Easy
Inspect, Read, Edit and Run 'APSIM' "Next Generation" and
'APSIM' Classic
Average Positive Predictive Values (AP) for Binary Outcomes and
Censored Event Times
Visualize Population Pyramids Aggregated by Age
Display Air Quality Model Output and Monitoring Data
Estimation and Prediction of Wet Season Calendar and Soil Water
Balance for Agriculture
Integrated Development Toolbox for Aquatic Chemical Model
Generation
Access to Aquo domaintables from R (Dutch)
Another Look at the Acceptance-Rejection Method
Simulate Auto Regressive Data from Precision Matricies
Rigorous Data Reduction and Error Propagation of Ar40 / Ar39
Data
Fitting Univariate Censored Linear Regression Model with
Autoregressive Errors
Geocoding with the 'ArcGIS' REST API Service
A Robust Interface to ArcGIS 'Geocoding Services'
Post-Processing of Markov Chain Monte Carlo Simulations for
Chronological Modelling
Example Datasets from Archaeological Research
Refitting and Spatial Analysis in Archaeology
Visualisation, Exploration, and Web Communication of
Archaeological Spatial Data
Finds the Archetypal Analysis of a Data Frame
An Archetype for Data Mining and Data Science Projects
Plant Root System Architecture Analysis Using DART and RSML
Files
Multi-Format Archive and Compression Support
Retrieve Archived Web Pages from the 'Internet Archive'
Tools for Storing, Restoring and Searching for R Objects
Tools for Archiving, Managing and Sharing R Objects via GitHub
Autoregressive Cokriging Models for Multifidelity Codes
Process ArcGIS Protocol Buffer FeatureCollections
Processing and Physical Activity Summaries of Minute Level
Activity Data
Annual Regional Database of the European Commission (ARDECO)
ARDL, ECM and Bounds-Test for Cointegration
Linear and Nonlinear Autoregressive Distributed Lag Models:
General-to-Specific Approach
Calculate Area of Triangles and Polygons
Harmonise and Integrate Heterogeneous Areal Data
Plot Stacked Areas and Confidence Bands as Filled Polygons
Plots, Summary Statistics and Tools for Arena Simulation Users
Arena for the Exploration and Comparison of any ML Models
Fractional ARIMA (and Other Long Memory) Time Series Modeling
Access and Import WMS and WFS Data from Argentine Organizations
Accurate Estimation of Influenza Epidemics using Google Search
Data
Automatic Regression for Governing Equations (ARGOS)
Command Line Optional and Positional Argument Parser
Random Variate Generator for the Argus Distribution
Adaptable Regularized Hotelling's T^2 Test for High-Dimensional
Data
Efficient Computations of Standard Clustering Comparison
Measures
Hybrid ARIMA-GARCH and Two Specially Designed ML-Based Models
Likelihood Based Inference for ARIMA Modeling
Time Series Forecasting using ARIMA-ANN Hybrid Model
Archive and Unarchive Databases Using Flat Files
Exploring Social Network Structures Through Friendship-Driven
Community Detection with Association Rules Mining
Data Analysis Using Regression and Multilevel/Hierarchical
Models
Adaptive Rejection Metropolis Sampling (ARMS) via 'Rcpp'
Analysis of Large Affymetrix Microarray Data Sets
A Probe-Level Data File Format Used by 'aroma.affymetrix'
[deprecated]
Copy-Number Analysis of Large Microarray Data Sets
Core Methods and Classes Used by 'aroma.*' Packages Part of the
Aroma Framework
Geometric Morphometric Methods and Virtual Anthropology Tools
Retrieving and Analyzing Air Quality and Weather Data from ARPA
Lombardia
Censored Mixed-Effects Models with Different Correlation
Structures
Tools for Simulating Direct Behavioral Observation Recording
Procedures Based on Alternating Renewal Processes
Fast Generators and Iterators for Permutations, Combinations,
Integer Partitions and Compositions
Apply a Function to a Margin of an Array
An Arsenal of 'R' Functions for Large-Scale Statistical
Summaries
Aligned Rank Transform for Nonparametric Factorial Analysis
To Insert Title, Divider, and Block of Comments
Adaptive and Robust Pipeline for Transfer Learning
Mining Association Rules and Frequent Itemsets
Classification Based on Association Rules
Mining NB-Frequent Itemsets and NB-Precise Rules
Visualizing Association Rules and Frequent Itemsets
Management and Processing of Autonomous Recording Unit (ARU)
Data
Data Sets for "Applied Survival Analysis Using R""
A Collection of Statistical Tools for Biologists
Export R Objects to Several Markup Languages
Create 'Ascii' Screen Casts from R Scripts
Reads Fixed-Width ASCII Data Files (.txt or .dat) that Have
Accompanying Setup Files (.sps or .sas)
Simulate the Spread of Ascochyta Blight in Chickpea
Simulations for Adaptive Seamless Designs
Interface to the Australian Statistical Geography Standard
Methods for Adaptive Shrinkage, using Empirical Bayes
Password Entry Utilities for R, Git, and SSH
Interface to the Algorithm Selection Benchmark Library
Optimal Convex M-Estimation for Linear Regression via Antitonic
Score Matching
Linkage Map Construction using the MSTmap Algorithm
Functions for the Book "Applied Statistical Modeling for
Ecologists"
Predicting and Classifying Patient Phenotypes with Multi-Omics
Data
Animal Social Network Inference and Permutations for Ecologists
Functions for Estimating Centrographic Statistics
A General Framework for Multivariate Analysis with Optimal
Scaling
Analysis of Symmetry of Parasitic Infections
Spline Regression with Adaptive Knot Selection
Augments 'ASReml-R' in Fitting Mixed Models and Packages
Generally in Exploring Prediction Differences
Applied Singular Spectrum Analysis (ASSA)
Verbose Assertions for Tabular Data (Data.frames and
Data.tables)
Simple Assertions for Beautiful and Customisable Error Messages
Assertive Programming for R Analysis Pipelines
Assessment Tools for Regression Models with Discrete and
Semicontinuous Outcomes
Backtesting Simple Asset Allocation Strategies
Estimating Asset Correlations from Default Data
Optimal Pricing of Assets with Fixed Expiry Date
Population Assignment using Genetic, Non-Genetic or Integrated
Data in a Machine Learning Framework
Infer Geographic Origin from Isotopic Data
A Suite of R Functions Implementing Spline Smoothing Techniques
Adaptive Subgroup Selection in Group Sequential Trials
Measuring Association with Recursive Binning
Implements New and Existing Association Indices for Constructing
Animal Social Networks
Calculate the Assortativity Coefficient of Weighted and Binary
Networks
Translates an R Function to a C++ Function
A Computational Tool for Astrochronology
Astronomy: Time and Position Functions, Misc. Utilities
Applied Statistical Time Series Analysis
Adaptive SURE Thresholding Using Side Information
Stochastic Volatility Models with or without Leverage
Data on Asylum and Resettlement for the UK
Asymmetric Linkage Disequilibrium (ALD) for Polymorphic Genetic
Data
Asymmetric Second Order Rotatable Designs (AsymmetricSORDs)
Multidimensional Scaling of Asymmetric Proximities
Asymmetry Measures for Probability Density Functions
A Simple R Package for Classical Parametric Statistical Tests
and Confidence Intervals in Large Samples
Estimate Asymptomatic Cases via Capture/Recapture Methods
Regression Analysis of Sparse Asynchronous Longitudinal Data
Create Tables for Reporting Clinical Trials
Automatic Time Series Analysis and Forecasting using the Ata
Method
Bounding Treatment Effects by Limited Information Pooling
Estimating ATE with Misclassified Outcomes and Mismeasured
Covariates
Average Treatment Effects with Measurement Error and Variable
Selection for Confounders
Download Air Quality and Meteorological Information of Chile
Tools to Handle and Publish Metadata as 'Atom' XML Format
Alert Time Quality - Evaluating Timely Epidemic Metrics
Wrapper for the 'AT' Protocol Behind 'Bluesky'
Correcting for Attenuation Due to Measurement Error
Threshold Independent Performance Measures for Probabilistic
Classifiers
Standard Conform Pure Tone Audiometry (PTA) Plots
Model Audit - Verification, Validation, and Error Analysis
Automatic Dynamic Regression using Extreme Gradient Boosting
Analysis of Augmented Randomised Complete Block Designs
Analysis of Data with Mixed Measurement Error and
Misclassification in Covariates
eBird Data Extraction and Processing in R
Area Under Minimum of False Positives and Negatives
Creates a Neighbourhood Using Locality Sensitive Hashing for
Gaussian Projections
TERN AusPlots Australian Ecosystem Monitoring Data
Provides Datasets About Australian Politicians
Approximate Unconditional and Permutation Tests
Automatic Variable Reduction Using Principal Component Analysis
Learning to Rank Bagging Workflows with Metalearning
Automated Covariate Selection Using HDPS Algorithm
An Interface to the 'AutoDesk' 'API' Platform
Automated Stacked Ensemble Classifier for Severe Class Imbalance
Automatic Construction of Forced-Choice Tests
Automate the Creation of Generalized Additive Models (GAMs)
Semi-Automatic Grading of R and Rmd Scripts
Automated Generation of Data-Informed GLM Models in Task-Based
fMRI Data Analysis
Multiple Heat Maps for Projected Coordinates
Automagically Document and Install Packages Necessary to Run R
Code
Algorithms for Automatically Fitting MFA Models
Auto-Generate Changelog using Conventional Commits
Automated Transcriptome Classifier Pipeline: Comprehensive
Transcriptome Analysis
Automatic Generation of Interactive Visualizations for
Statistical Results
Development of Visualization Tools for Protein Sequence
Creating Echarts Visualizations as Easy as Possible
Automatic Linear and Logistic Regression and Survival Analysis
Minimum Distance Estimation in Autoregressive Model
An Interpretable Machine Learning-Based Automatic Clinical Score
Generator
Fully Automatic Generation of Scorecards
Retrieve Disease-Related Genes from Public Sources
Automatic Transformation of an 'R' Function into a 'shiny' App
Builds Stepwise GLMs via Train and Test Approach
An R Port of the 'ImageJ' Plugin 'Auto Threshold'
A Novel Automatic Shifted Log Transformation
Automatic Model Selection and Prediction for Univariate Time
Series
Auto Visual Inference with Computer Vision Models
Perform the Weighted Multiplier Method on Trees
Check if the Title of a Package is Available, Appropriate and
Interesting
Calculation of Average Population Attributable Fractions and
Confidence Intervals
Access to the List of Birds Species of Peru
A Variable Selection using Genetic Algorithms
A Computational Biologist’s Toolkit To Get Data From 'avidaDB'
Calculate the Inertial Properties of a Flying Bird
Adaptation of Virtual Twins Method from Jared Foster
A Global Dataset of Anthropogenic Extinct Birds and their
Traits: Phylogeny Builder
Convert Dates to Arbitrary Week Definitions
Get Data from 'Awin' via the 'Windsor.ai' API
Amazon 'Kinesis' Consumer Application for Stream Processing
Client for the Amazon Alexa Web Information Services API
Communicating with AWS EC2 and ECS using AWS REST APIs
'AWS Key Management Service' Client Package
Data Processing of SMN Hi-Res Weather Forecast from 'AWS'
Class and Methods Definitions for Packages 'aws', 'adimpro',
'fmri', 'dwi'
Analyzing Zero-Inflated and Zero-Altered Data
Logging in 'R' and Post to 'Azure Log Analytics' Workspace
Include Azure Application Insights in Shiny Apps
Authentication Services for Azure Active Directory
Interface to 'Container Instances', 'Docker Registry' and
'Kubernetes' in 'Azure'
Interface to the 'Azure Cosmos DB' 'NoSQL' Database Service
Interface to 'Kusto'/'Azure Data Explorer'
Interface to the 'Azure Machine Learning' 'SDK'
Interface to the Table Storage Service in 'Azure'
Interface to Azure Computer Vision Services
Interface to Azure Virtual Machine Instance Metadata
Gene Orthologs for Model Organisms in a Tidy Data Format
Use 'nlmixr2' to Interact with Open Source and Commercial
Software
Talking to 'Docker' and 'Singularity' Containers
Bayesian Analysis of Computer Code Output (BACCO)
Bayesian Augmented Control for Clinical Trials
Bayesian Classification and Information Sharing (BaCIS) Tool for
the Design of Multi-Group Phase II Clinical Trials
Reimplementations of Functions Introduced Since R-3.0.0
Learning Causal Cyclic Graphs from Unknown Shift Interventions
Exploring Portfolio-Based Conjectures About Financial
Instruments
Bayesian Analysis of Cancer Latency with Auxiliary Variable
Augmentation
Bayesian Estimation and Forecasting of Age-Specific Rates
Robust Explainable Outlier Detection Based on OutlierTree
Bagging Bandwidth Selection in Kernel Density and Regression
Estimation
A Binary Regression Adaptive Goodness-of-Fit Test (BAGofT)
Filter Covariance and Correlation Matrices with
Bootstrapped-Averaged Hierarchical Ansatz
Bayes Factors for Informative Hypotheses
Analyze and Compare Nucleotide Recoding RNA Sequencing Datasets
Balance Check for Multiple Covariates in Matched Observational
Studies
Balanced and Spatially Balanced Sampling
Bayesian Hierarchical Modeling for Label-Free Proteomics
Statistical Inference and Sure Independence Screening via Ball
Statistics
Expression RNA-Seq Data Analysis Based on Linear Mixed Model
Functions and Datasets for "Bayesian Methods: A Social and
Behavioral Sciences Approach"
High Dimensional Bayesian Mediation Analysis
Bayesian Meta-Analysis of Diagnostic Test Data
Bayesian Additive Models for Location, Scale, and Shape (and
Beyond)
Species Distribution Models as a Function of Biotic, Abiotic and
Movement Factors (BAM)
Analysis and Visualization of Macroevolutionary Dynamics on
Phylogenetic Trees
Bayesian Age-Period-Cohort Modeling and Prediction
Bayesian Analysis of the Network Autocorrelation Model
Functions for Simple a/B Split Test and Multi-Armed Bandit
Analysis
Compute Upper Prediction Bounds on the FDP in Competition-Based
Setups
Automatize Diagnosis Standardized Assignation Using the Banff
Classification
Provides Ready to Use Shapefiles for Geographical Map of
Bangladesh
Make Banner Comments with a Consistent Format
Batch Effect Removal and Addon Normalization (in Phenotype
Prediction using Gene Data)
Label Creation for Tracking and Collecting Data from Biological
Samples
Species Identification using DNA Barcodes
Complete Works of William Shakespeare in Tidy Format
Calculate Bark Beetle Phenology Using Different Models
Causal Inference using Bayesian Additive Regression Trees
Bayesian Additive Regression Trees for Confounder Selection
Bayesian Variable Selection and Model Averaging using Bayesian
Adaptive Sampling
Bayesian Variable Selection with Shrinking and Diffusing Priors
Convert Regression Between Base Function and 'rms' Package
Fast and URL-Safe Base64 Encoder and Decoder
Utilities for Streamlined Data Import, Imputation and Modelling
Infrastructure for Computing with Basis Functions
Baseline Models for Classification and Regression
Basic Sequence Processing Tool for Biological Data
Estimation of Seed Germination Base Temperature in Thermal
Modelling
Plot Simple Features with 'base' Sensibilities
Trace Plots, Density Plots and Chain Comparisons for MCMC
Samples
Construct Rich Tables for Output to 'HTML'/'Excel'
Retrieval and Processing of the Spanish National Forest
Inventory
Classification of RNA Sequences using Complex Network Theory
Classification of RNA Sequences using Complex Network and
Information Theory
Bayesian Model to Archaeological Faunal Skeletal Profiles
Analysis and Visualization of Basketball Data
Analytical Calculation of Basket Trial Operating Characteristics
Simulation-Based Calculation of Basket Trial Operating
Characteristics
Age-Specific Bayesian Survival Trajectory Analysis from
Incomplete Census or Capture-Recapture/Recovery Data
Managing Packages Removal and Installation
Batching Routines in Parallel and Passing Command-Line Arguments
to R
Statistical Experiments on Batch Computing Clusters
Downloads and Organizes Financial Data for Multiple Tickers
Batch Process LLM Text Completions Using a Data Frame
Consistent Batch Means Estimation of Monte Carlo Standard Errors
Semi-Supervised Bayesian Mixture Models Incorporating Batch
Correction
Convert Categorical Representations of Logicals to Actual
Logicals
Real-Time PCR Data Sets by Batsch et al. (2008)
Bayesian Adaptive Trial Simulator Software (BATSS) for
Generalised Linear Models
An R Package for Data Reduction by Battery Reduction
Bayesian Analysis of Clumped Isotope Datasets
Bayesian Estimation and Optimisation of Expected False Discovery
Rate
Bayesian Quantile Elastic Net for Genetic Study
User Friendly Bayesian Data Analysis for Psychology
Bayesian Estimation of the Additive Main Effects and
Multiplicative Interaction Model
Bayesian Inference in the Analysis of Variance via Markov Chain
Monte Carlo in Gaussian Mixture Models
Bayesian Estimation of Bivariate Volatility Model
Bayesian Estimation of Mixtures of Multivariate Bernoulli
Distributions
Miscellaneous Functions for Bioinformatics and Bayesian
Statistics
An Implementation of Rubin's (1981) Bayesian Bootstrap
Bayesian Estimation using Bernstein Polynomial Fits Rate Matrix
Power Calculations and Bayesian Analysis of Count Distributions
and FECRT Data using MCMC
Bayesian Analysis of Censored Regression Models Under Scale
Mixture of Skew Normal Distributions
Simulation and Analysis of Adaptive Bayesian Clinical Trials
Two Arm Bayesian Clinical Trial Design with and Without
Historical Control Data
Bayesian Cure Rate Modeling for Time-to-Event Data
Functions and Datasets for the book "Bayesian Data Analysis"
Methods and Tools for Bayesian Dynamic Conditional Correlation
GARCH(1,1) Model
Bayesian Single-Arm Design with Survival Endpoints
Bayesian Dynamic Factor Analysis (DFA) with 'Stan'
Bayesian Decreasingly Informative Priors for Early Termination
Phase II Trials
Statistical Analysis for Task-Based Fmri Data
Implementation of the Bayesian Discount Prior Approach for
Clinical Trials
Bayesian Smoothing of Remote Sensing Image Classification
Computation of Bayes Factors for Common Designs
Bayesian Dynamic Borrowing with Flexible Baseline Hazard
Function
Implementation of Bayesian Neural Networks
Spatial Bayesian Methods for Task Functional MRI Studies
Fit Multivariate Response Generalized Additive Models using
Hamiltonian Monte Carlo
Bayesian Estimation of the GARCH(1,1) Model with Student-t
Innovations
Bayesian Causal Mediation Analysis using 'Stan'
Bayesian Modeling via Frequentist Goodness-of-Fit
Efficient Implementation of Gaussian Process in Bayesian
Hierarchical Models
Fast Bayesian Gaussian Process Regression Fitting
Estimate Fish Growth Using MCMC Analysis
Bayesian Grouped Weighted Quantile Sum Regression
Bayesian Estimation of the ETAS Model for Earthquake Occurrences
Bayesian Solutions for the Factor Zoo: We Just Ran Two
Quadrillion Models
Bayesian Gamma Regression: Joint Mean and Shape Modeling
Predict Brain Asymmetry Based on Handedness and Dichotic
Listening
Simulate, Evaluate, and Analyze Dose Finding Trials with
Bayesian MCPMod
Simulate and Analyse Bayesian Platform Trial with Time Trend
Sample Size and Power for Comparing Inequality Constrained
Hypotheses
Plot Positive and Negative Predictive Values for Medical Tests
General-Purpose MCMC and SMC Samplers and Tools for Bayesian
Statistics
Bayesian t Regression for Modeling Mean and Scale Parameters
MCMC Estimation of Bayesian Vectorautoregressions
Bayesian Methods for Image Segmentation using a Potts Model
Efficient Sampling for Gaussian Linear Regression with Arbitrary
Priors
Adjust Longitudinal Regression Models Using Bayesian Methodology
Bayesian Preference Learning with the Mallows Rank Model
Bayesian Post-Estimation on the Mean Scale
Bayesian Random-Effects Meta-Analysis and Meta-Regression
Bayesian Mixture Survival Models using Additive
Mixture-of-Weibull Hazards, with Lasso Shrinkage and
Stratification
A Multistate Life Table (MSLT) Methodology Based on Bayesian
Approach
Non-Parametric Bayesian Analyses of Animal Movement
A Bayesian No-Effect- Concentration (NEC) Algorithm
Bayesian Analysis of Non-Stationary Gaussian Process Models
Bayesian Group Sequential Design for Ordinal Data
Variable Selection in a Hierarchical Bayesian Model for a Hazard
Function
Bayesian Inference for Presence-Only Data
Generate Postestimation Quantities for Bayesian MCMC Estimation
Bayesian Power Prior Design for Survival Data
Fast Projection Direction for Multivariate Changepoint Detection
Bayesian Regression Models with Global-Local Shrinkage Priors
Bayesian Analysis of Replication Studies
Fits the Bayesian Piecewise Linear Log-Hazard Model
Bayesian Robust Generalized Mixed Models for Longitudinal Data
Bayes Factors for Hierarchical Linear Models with Continuous
Predictors
Datasets and Supplemental Functions from Bayes Rules! Book
Bayesian Variable Selection Using Simplified Shotgun Stochastic
Search with Screening (S5)
Bayes Linear Estimators for Finite Population
Different Models of Posterior Distributions of Adjusted Odds
Ratio
Bayesian Seemingly Unrelated Regression Models in
High-Dimensional Settings
Bayesian Survival Regression with Flexible Error and Random
Effects Distributions
Bayesian Survival Analysis for Right Censored Data
Bayesian Survival Models for High-Dimensional Data
Effect Size Targeted Bayesian Two-Sample t-Tests via Markov
Chain Monte Carlo in Gaussian Mixture Models
Understand and Describe Bayesian Models and Posterior
Distributions
Bayesian Analysis of Item-Level Twin Data
Bayes Factors, Model Choice and Variable Selection in Linear
Models
Visually Learning the Graphical Structure of Bayesian Networks
and Performing MCMC with 'Stan'
Bayesian Change-Point Detection for Process Monitoring with
Fault Detection
R Utilities Accompanying the Software Package BayesX
Distribution of the 'BayesX' C++ Sources
Bayesian Zero-Inflated Bernoulli Regression Model
Global Bayesian Foraminifera Core Top Calibration
Bayesian Shrinkage Estimators for Precision Matrices in Gaussian
Graphical Models
Chronological Bayesian Models Integrating Optically Stimulated
Luminescence and Radiocarbon Age Dating
Bayesian Multidimensional Scaling and Choice of Dimension
Computation of Bayes Factors for Common Biomedical Designs
Bayesian Stability Analysis of Genotype by Environment
Interaction (GEI)
On Bayesian Analysis of Threshold Autoregressive Models
Solving and Optimizing Large-Scale Nonlinear Systems
Identification of Bull and Bear States of the Market
Bayesian Estimation of Incoherent Neutron Scattering Backgrounds
Benthic Biotic Indices Calculation from Composition Data
Client for the Deutsche Bundesbank and European Central Bank
APIs
Miscellaneous Helper Functions for B. Bischl
Bayesian Model for Genotyping using RNA-Seq
Tools for General Maximum Likelihood Estimation
Create Simple Predictive Models on Bayesian Belief Networks
Bessel and Beta Regressions via Expectation-Maximization
Algorithm for Continuous Bounded Data
Gene Regulatory Network Inference with Bc3net
Block Coordinate Ascent with One-Step Generalized Rosen
Algorithm
Bias Corrected Bootstrap Confidence Intervals
Bias-Corrected Bayesian Classification with Selected Features
Calculation of Option Prices Based on a Universal Solution
Bayesian Consensus Clustering for Multiple Longitudinal Features
Bayesian Structure and Causal Learning of Gaussian Directed
Graphs
Search and Retrieve Data from the BC Data Catalogue
Business Cycle Dating and Plotting Tools
The Bayesian Causal Effect Estimation Algorithm
Causal Inference using Bayesian Causal Forests
Semiparametric Bivariate Correlated Frailty Models Fit
Bivariate Correlated Frailty Models with Varied Variances
Bayesian Constrained Generalised Linear Models
Bias-Corrected Estimates for Generalized Linear Models for
Dependent Data
Clinical Trial Calculation Based on BCHM Design
Radiocarbon Dating, Age-Depth Modelling, Relative Sea Level Rate
Estimation, and Non-Parametric Phase Modelling
A Dirichlet Process Mixture Model for Clustering Longitudinal
Gene Expression Data
Map Layers and Spatial Utilities for British Columbia
Mixed Effect Model with the Box-Cox Transformation
Behavioral Change Point Analysis of Animal Movement
Bayesian Continual Reassessment Method for Phase I
Dose-Escalation Trials
Bias-Corrected Methods for Estimating the ROC Surface of
Continuous Diagnostic Tests
'Blowfish' Key Derivation and Password Hashing
A Bayesian Semiparametric Factor Analysis Model for Subtype
Identification (Clustering)
Bayesian Context Trees for Discrete Time Series
Cross-Validation for the SVD (Bi-Cross-Validation)
Darwinizer: Darwin Core (DwC) Field Names Standardization
Efficient Determination of Sample Size in Balanced Design of
Experiments
Bayesian Structure Learning in Graphical Models using
Birth-Death MCMC
Bayesian Distributed Lag Interaction Models
Transparent and Reproducible Artificial Data Generation
Bayesian Adaptive Designs for Phase II Trials with Binary
Endpoint
Inference and Design for Predictive Values in Diagnostic Tests
Bayesian Detection of Potential Risk Using Inference on Blinded
Safety Data
Remove Weekends and Holidays from ggplot2 Axes
Routines for Block Diagonal Symmetric Matrices
Block Structure Detection Using Singular Vectors
Bayesian Inference for Discrete Weibull Regression
Biometric Exploratory Analysis Creation House
Analysis of Multiplex Cytometric Bead Assays
Bootstrap Evaluation of Association Matrices
Visualization via Beanplots (Like Boxplot/Stripchart/Violin
Plot)
Bayesian Analysis of Heterogeneous Treatment Effect
Bayesian Estimation of Change-Points in the Slope of
Multivariate Time-Series
Bayesian Evaluation, Analysis, and Simulation Software Tools for
Trials
Bayesian Model Averaging of Covariate Adjusted Negative-Binomial
Dose-Response
Quantifies Effects of Geo/Eco Distance on Genetic
Differentiation
Extract Genotypes from a PLINK .bed File
Genomic Region Processing using Tools Such as 'BEDTools',
'BEDOPS' and 'Tabix'
Binary Endpoint Estimation with Covariate Adjustment
General Unified Threshold Model of Survival for Bees using
Bayesian Inference
Easily Play Notification Sounds on any Platform
The Bee Swarm Plot, an Alternative to Stripchart
Tools for Behavior Change Researchers and Professionals
Canonical Data Structure for Behavioural Data
Multivariate Conditional Volatility Modelling and Forecasting
Download Historical Data from the Belgrade Stock Exchange
Boltzmann Entropy of a Landscape Gradient
Likelihood Method for Evaluating Bioequivalence
Count Regression Models Based on the Bell Distribution
28 Benchmark Densities from Berlinet/Devroye (1994)
Benchmark and Frontier Analysis Using DEA and SFA
High Precise Measurement of R Expressions Execution Time
Bayesian Estimation of Nonlinear Data (BEND)
Benford Analysis for Data Validation and Forensic Analytics
Statistical Tests for Evaluating Conformity to Benford's Law
Bayesian Estimation of Naloxone Kit Number Under-Reporting
Bent-Cable Regression for Independent Data or Autoregressive
Time Series
Bayesian Estimation for Quantile Regression Mixed Models
Bayesian Exponential Random Graph Models
Bayesian Inference and Model Selection for Stochastic Epidemics
Function Collection Related to Plotting and Hydrology
Best Subset Selection in Linear, Logistic and CoxPH Models
Computations and Approximations for Bessel Functions
Best Subset GLM and Regression Utilities
Generating Bootstrap Estimation Distributions of HR Data
Bayesian Estimation of Intervention Effects
A Comprehensive R Package for Best Subset Selection
Burden Estimate of Common Communicable Diseases in Settlements
of Displaced Populations
Mini Games from Adventures of Beta and Bit
A Family of Beta Mixture Models for Clustering Beta-Valued DNA
Methylation Data
Confidence Intervals for Standardized Regression Coefficients
Functions for Working with Two- And Four-Parameter Beta
Probability Distributions and Psychometric Analysis of
Classifications
Partitioning Beta Diversity into Turnover and Nestedness
Components
Calculate Power and Sample Size with Beta Regression
Taxonomic Uncertainty on Multivariate Analyses of Ecological
Data
Robust Confidence Intervals for Standardized Regression
Coefficients
Betas-Select in Structural Equation Models and Linear Models
Simulation, Estimation and Forecasting of Beta-Skew-t-EGARCH
Models
Better Statistics for OLS and Binomial Logistic Regression
Bayesian Evaluation of Variant Involvement in Mendelian Disease
Visualize and Parse the Output of 'BeXY'
Compare the Goodness of Fit of Benford's and Blondeau Da Silva's
Digit Distributions to a Given Dataset
Bayesian Spectral Inference for Time Series
Flexible Bayes Factor Testing of Scientific Expectations
Power and Sample Size Calculations for Bayes Factor Analysis
Get Data from the Swiss Federal Statistical Office
Plot Maps from Switzerland by Swiss Federal Statistical Office
Bayesian Framework for Computational Modeling
A Suite of Packages for Analysis of Big Genomic Data
Bimodal GEV Distribution with Location Parameter
Binary Generalized Extreme Value Additive Models
Bell-G and Complementary Bell-G Family of Distributions
Bayesian Genomic Linear Models Applied to GE Genome Selection
Bayesian Estimation of Generalized Graded Unfolding Model
Parameters
Example BGM Files for the Atlantis Ecosystem Model
An R Package for Extended Behavior Genetics Analysis
Gaussian Mixture Modeling Algorithms and the Belief-Based
Mixture Modeling
Bayesian Analysis of Networks of Binary and/or Ordinal Variables
Markov Beta and Gamma Processes for Modeling Hazard Rates
Bayesian Group Sparse Multi-Task Regression
Estimate the Burden of Healthcare-Associated Infections
Useful Functions for Box, Hunter and Hunter II
Bayesian Hierarchical Models for Basket Trials
Bayesian Hierarchical Multi-Subject Multiscale Analysis of
Functional MRI (fMRI) Data
Structural Bayesian Vector Autoregression Models
Blinding Assessment Indexes for Randomized, Controlled, Clinical
Trials
A GUI to Correct Measurement Bias in DNA Methylation Analyses
R Wrapper for Java Implementation of BiBit
Create Different Types of Bibliometric Networks
Document-Level Matching Between Bibliographic Datasets
Bayesian Inference for the Birnbaum-Saunders Distribution
Binary Classification Using Extensions of Discriminant Analysis
Integrative Inference of De Novo Cis-Regulatory Modules
Bayesian Inference for Directed Acyclic Graphs
Efficient Estimation of Bid-Ask Spreads from Open, High, Low,
and Close Prices
Calculates the Bidimensional Regression Between Two 2D
Configurations
Tools for Accessing the Botanical Information and Ecology
Network Database
Tools for Survey Statistics in Educational Assessment
'BLAS' and 'LAPACK' Routines for Native R Matrices and
'big.matrix' Objects
Utilities for 'big.matrix' Objects from Package 'bigmemory'
Perform Boolean Operations on Large Numbers
Read, Write, Manipulate, Explore Chess PGN Files and R API to
UCI Chess Engines
Flexibly Format Dates and Times to a Given Locale
Distances for Machine Learning and Statistics in the Context of
Big Data
Case-Control Analysis of Multi-Allelic Loci
Scalable Bayesian Disease Mapping Models for High-Dimensional
Data
Fit, Simulate, and Diagnose Hierarchical Exponential-Family
Models for Big Networks
Biochemically Intuitive Generalized Loewe Model
Extending Lasso Model Fitting to Big Data
Physical and Physiological Ecosystem Properties from Eddy
Covariance Data
Bounded Memory Linear and Generalized Linear Models
Making Optimal Matching Size-Scalable Using Optimal Calipers
Manage Massive Matrices with Shared Memory and Memory-Mapped
Files
A Shared Resource Interface for Bigmemory Project Packages
Arbitrary-Precision Integer and Floating-Point Mathematics
Big Quadratic Inverse Covariance Estimation
Generalized Linear Models (GLM) for Large Data Sets
An Interface to Google's 'BigQuery' 'API'
An Interface to Google's 'BigQuery Storage' API
Fast Generation of High-Dimensional Random Vectors
Statistical Tools for Filebacked Big Matrices
Big Survival Analysis Using Stochastic Gradient Descent
Table, Apply, and Split Functionality for Matrix and
'big.matrix' Objects
Nonparametric Analysis of Bivariate Gap Time with Competing
Risks
Sparse Estimation of Large Time Series Models
Dimension Reduction Methods for Multivariate Time Series
Co-Clustering Adjusted Rand Index and Bikm1 Procedure for
Contingency and Binary Data-Sets
Contains Data of Billboard Hot 100 Songs
Create Interactive Chart with the JavaScript 'Billboard' Library
Threshold Cut Point of Probability for a Binary Classifier Model
Creates, Merges, and Reads Binary Dosage Files
Variable Selection for Binary Data Using the EM Algorithm
Mean and Scale-Factor Modeling of Under- And Over-Dispersed
Binary Data
Fit and Predict a Gaussian Process Model with (Time-Series)
Binary Response
Flexible Marginalized Models for Binary Correlated Outcomes
Estimate the Correlation Between Two Irregular Time Series
Multi-Class Discriminant Analysis using Binary Predictors
Methods for Analyzing Binned Income Data
Estimates Parameters of Functions Driving Binomial Random
Variables
Get Bing Ads Data via the 'Windsor.ai' API
Evaluation and Experimental Design for Binomial Group Testing
Identification and Estimation using Group Testing
Calculate Boundaries and Conditional Power for Single Arm Group
Sequential Test with Binary Endpoint
Processes Binary Data Obtained from Fragment Analysis (Such as
AFLPs, ISSRs, and RFLPs)
Data Generation with Binary and Continuous Non-Normal Components
Simultaneous Generation of Multivariate Binary and Normal
Variates
Binomial Confidence Intervals for Several Parameterizations
Confidence Intervals for a Binomial Proportion
Binomial Random Forest Feature Selection
Calculates the Statistical Significance of a Trend in a Set of
Measurements
Concurrent Generation of Binary, Ordinal and Continuous Data
Depth-Dependent Binocular Visual Fields Simulation
Cut Numeric Values into Evenly Distributed Groups
Piecewise Smooth Regression by Bootstrapped Binary Segmentation
Efficient Implementation of Binary Segmentation
Exact Binary Sequential Designs and Analysis
Bayesian Inference for Neyman-Scott Point Processes
Data Preprocessing, Binning for Classification and Regression
Bayesian BIN (Bias, Information, Noise) Model of Forecasting
Predict Environmental Conditions from Biological Observations
Analyse Audio Recordings and Automatically Extract Animal
Vocalizations
Access Data Dependencies Installed Through 'Biobricks.ai'
Interactive Circular Visualization of Genomic Data using
'htmlwidgets' and 'BioCircos.js'
Access the Bioconductor Project Package Repository
Create and Manipulate BioCompute Objects
Package for Community Ecology and Suitability Analysis
An R Shiny Application for Biological Dosimetry
Multilevel Modeling of Dendroclimatical Fluctuations
Process Biogas Data and Predict Biogas Production
Mathematical Modelling of (Dynamic) Microbial Inactivation
Create Hyperlinks to Biological Databases and Resources
Biologically Explainable Machine Learning Framework
Find Biomarkers in Two-Class Discrimination Problems
Estimating Aboveground Biomass and Its Uncertainty in Tropical
Forests
Functions to Assist Design and Analysis of Agronomic Experiments
Ensemble Platform for Species Distribution Modeling
Biomarker Prognostic Enrichment Tool for Time-to-Event Trial
Extracting Insights from Biological Images
An R Package for Biomarkers Analysis in Precision Medicine
Biological Analysis and Visualization of Weather Radar Data
From Biological Sequences and Simulations to Correlation
Analysis
From Biological Sequences to Multidimensional Scaling
Biodiversity Index Calculation and Bootstrap Confidence Interval
Estimation
Distributional Data Analysis Techniques for Biosensor Data
A Toolbox for Manipulating Biological Sequences
Tools for Electromyogram Signals (EMG) Analysis
Bioacoustic Basic Operations with Decibels and the Passive Sonar
Equation
Biomarker Selection in Penalized Regression Models
Utility Functions, Datasets and Extended Examples for Survival
Analysis
Practical Functions for Biostatistics Beginners
Nested Data Summary, Adverse Events and REDCap
Calculation of Freshwater Biotic Indices
Tools to Use and Explore the 'BioTIME' Database
Tools for Biometry and Applied Statistics in Agricultural
Science
Create Area-Proportional Venn Diagrams from Biological Lists
Visualising Bipartite Networks and Calculating Some (Ecological)
Indices
Partition Bipartite Network into Non-Overlapping Biclusters by
Optimizing Bipartite Modularity
Bayesian Individual Patient Data Meta-Analysis using 'JAGS'
Construct Reactive Calibrated Axes Biplots
Bootstrap on Classical Biplots and Clustering Disjoint Biplot
Ranking Nodes in Bipartite and Weighted Networks
Bayesian Instrumental Regression for Disparity Estimation
Methods to Analyse Ring Re-Encounter Data
Migration Traffic Rate Calculation Package for 'Birdscan MR1'
Radars
The R Package for "The Basics of Item Response Theory Using R"
Tools and Palettes for Bivariate Thematic Mapping
Download Data from the Bank for International Settlements (BIS)
Tools to find bad commits with git bisect
Toolkit to Identify Candidate Synthetic Lethality
Statistical Tools for Bivariate Spatial Dependence Analysis
Approximate Bayesian Inference via Sparse Grid Quadrature
Evaluation (BISQuE) for Hierarchical Models
Decomposition of Bulk Expression with Single-Cell Sequencing
Cumulative History Analysis for Bistable Perception Time Series
Classes and Methods for Fast Memory-Efficient Boolean Selections
A S3 Class for Vectors of 64bit Integers
Binarization and Trinarization of One-Dimensional Data
Bivariate Alternating Recurrent Event Data Analysis
Tolerance Interval and EIV Regression - Method Comparison
Studies
Bivariate Residual Plots with Simulation Polygons
Generation of Bivariate Uniform Data and Its Relation to
Bivariate Binary Data
Conduct Univariate and Bivariate Wavelet Analyses
Compute the Biweight Mean Vector and Covariance & Correlation
Matrice
Business Days Calculations and Utilities
Bivariate Zero-Inflated Count Models Using Copulas
Parallel Chain Tools for Bayesian Kernel Machine Regression
Black Box Optimization and Exploration of Parameter Space
Read and Write FWF Files in the 'Blaise' Format
Blaker's Binomial and Poisson Confidence Limits
Plots (Slightly Extended) Bland-Altman Plots
Bayesian Inference with Laplace Approximations and P-Splines
Native R Implementation of an Efficient BLAST-Like Algorithm
Black-Litterman and Copula Opinion Pooling Frameworks
Analyze biotic homogenization of landscapes
Joint Analysis of Experiments with Mixtures and Random Effects
Record Linkage for Empirically Motivated Priors
Bayesian Functional Linear Regression with Sparse Step Functions
Data Files and Functions Accompanying the Book "Bayesian Data
Analysis in Ecology using R, BUGS and Stan"
A Simple S3 Class for Representing Vectors of Binary Data
('BLOBS')
Co-Clustering Package for Binary, Categorical, Contingency and
Continuous Data-Sets
Estimation of Large Block Covariance Matrices
Spatial and Environmental Blocking for K-Fold and LOO
Cross-Validation
Block Forests: Random Forests for Blocks of Clinical and Omics
Covariate Data
Select an Optimal Block-Length to Bootstrap Dependent Data
(Block Bootstrap)
blockmatrix: Tools to solve algebraic systems with partitioned
matrices
Integrating Multi-Source Block-Wise Missing Data in Model
Selection
Generalized and Classical Blockmodeling of Valued Networks
GUI for the Generalised Blockmodeling of Valued Networks
Latent and Stochastic Block Model Estimation by a 'V-EM'
Algorithm
Randomization for Block Random Clinical Trials
Nested and Crossed Block Designs for Factorial and Unstructured
Treatment Sets
Estimate and Visualize Voting Blocs' Partisan Contributions
Create Blogs and Websites with R Markdown
Impute and Analyze Data with BLOQ Observations
Tools for Developing Binary Logistic Regression Models
Dose Escalation Design in Phase I Oncology Trial Using Bayesian
Logistic Regression Modeling
Stochastic Rainfall Generator Bartlett-Lewis Rectangular Pulse
Model
Interactive Document for Working with Binary Logistic Regression
Analysis
Data Viewer for Bureau of Labor Statistics Data
An API Wrapper for the United States Bureau of Labor Statistics
Make Requests from the Bureau of Labor Statistics API
Blyth-Still-Casella Exact Binomial Confidence Intervals
Bayesian Model Averaging for Basket Trials
Multivariate Extremes: Bayesian Estimation of the Spectral
Measure
Bayesian Multivariate Analysis of Summary Statistics
CONCOR for Structural- And Regular-Equivalence Blockmodeling
Mediation Analysis with Missing Data Using Bootstrap
Mediation Analysis with Missing Data and Non-Normal Data
Bayesian Multidimensional Generalized Graded Unfolding Model
Miscellaneous Functions for Panel Data, Quantiles, and Printing
Results
Bayesian Estimation for Finite Mixture of Distributions
Easy and Accessible Bayesian Measurement Models Using 'brms'
An Implementation of the Bayesian Markov (Renewal) Mixed Models
Bayesian Multilevel Single Case Models using 'Stan'
Bayesian Modeling of Spatio-Temporal Data with R
Bayesian Approach for MTAR Models with Missing Data
Learning Discrete Bayesian Network Classifiers from Data
Access Data from the Brazilian Development Bank (BNDES)
Bounding Omitted Variable Bias Using Auxiliary Data
Bayesian Network Structure Learning, Parameter Learning and
Inference
Bayesian Network Meta-Analysis using 'JAGS'
An Implementation of Sensitivity Analysis in Bayesian Networks
Bagged k-Nearest Neighbors Survival Prediction
Ferguson-Klass Type Algorithm for Posterior Normalized Random
Measures
Simulate Genotypes from the BN-PSD Admixture Model
A Bayesian Nonparametric Algorithm for Time Series Clustering
A Repository of Bayesian Networks from the Academic Literature
Pathway Enrichment Analysis Based on Bayesian Network
Bayesian Non- And Semi-Parametric Model Fitting
Bayesian Network Structure Learning from Data with Missing
Values
Bayesian Networks Interactive Visualization and Explainable
Artificial Intelligence
Bayesian Output Analysis Program (BOA) for MCMC
Board Games and Tools for Building Board Games
Profiling of Peripheral Blood Mononuclear Cells using CyTOF
Boosting Diversity in Regression Ensembles
Call the Bus Open Data Service ('BODS') API Through R
Percent Body Fat Values Using Anthropometric Prediction
Equations
Reference Values for CT-Assessed Body Composition
Real-Time PCR Data Sets by Boggy et al. (2010)
Interface to the Boilerpipe Java Library
Bayesian Optimal INterval (BOIN) Design for Single-Agent and
Drug- Combination Phase I Clinical Trials
Conduct Simulation Study of Bayesian Optimal Interval Design
with BOIN-ET Family
Model Consistent Lasso Estimation Through the Bootstrap
Functions for Elementary Bayesian Inference
Methods for Fixed-Income Valuation, Risk and Return
Fixed Coupon Bond Valuation Allowing for Odd Coupon Periods and
Various Day Count Conventions
An Improved Multiple Testing Procedure for Controlling False
Discovery Rates
Some Distributions from the 'Boost' Library and More
Authoring Books and Technical Documents with R Markdown
Optimal Estimation of Partially Observed Boolean Dynamical
Systems
Construction, Simulation and Analysis of Boolean Networks
Debugging Tools to Inspect the Intermediate Steps of a Call
A Boosting Approach to Data Envelopment Analysis
Boosting for Multivariate Longitudinal Responses
Boosted Multivariate Trees for Longitudinal Data
Bootstrap Functions (Originally by Angelo Canty for S)
A Bootstrap-Based Heterogeneity Test for Meta-Analysis
Bootstrapping Estimates of Clustering Stability
Combine Parameter Estimates via Parametric Bootstrap
Bootstrapping the ARDL Tests for Cointegration
Bootstrap Confidence Intervals on Effect Sizes
Simulation and Comparison of Dissolution Profiles
Bootstrap Inference for Multiple Imputation
Bootstrapped Confidence Intervals for (Negative) Likelihood
Ratio Tests
Bootstrap-MRMR Technique for Informative Gene Selection
Bootstrap Methods for Various Network Estimation Routines
Bootstrap Hyperparameter Selection for PLS Models and Extensions
Bootstrap Prediction Intervals and Bias-Corrected Forecasting
A Bootstrap Test for the Probability of Ruin in the Classical
Risk Process
Functions for the Book "An Introduction to the Bootstrap"
Bootstrap Algorithms for Finite Population Inference
Bootstrap cis-QTL Method that Corrects for the Winner's Curse
Bootstrap Methods for Complete Survey Data
Fast, Exact Bootstrap Principal Component Analysis for High
Dimensional Data
Nonparametric Bootstrap Test with Pooled Resampling Card Game
Test Stationarity using Bootstrap Wavelet Packet Tests
Transforming Behavioral Observation Records into Data Matrices
Bayesian Ordination and Regression AnaLysis
Estimate Causal Effects with Borrowing Between Data Sources
Wrapper Algorithm for All Relevant Feature Selection
A Bunch of Structure and Sequence Analysis
Best Orthogonalized Subset Selection (BOSS)
Bound on the Error of the First-Order Edgeworth Expansion
Analytic Solutions for (Ground-Water) Boussinesq Equation
Outlier Detection and Influence Diagnostics for Meta-Analysis
Functions to Create Publication-Quality Plots
Write Reusable, Composable and Modular R Code
Provides 'box' Compatibility for 'languageserver'
Box-Cox-Type Transformations for Linear and Logistic Models with
Random Effects
Clustering Method Based on Boxplot Statistics
Double Box Plot for Two-Axes Correlation
Blood Pressure Device Accuracy Evaluation: Statistical
Considerations
Nonparametric Bounds for the Average Causal Effect Due to Balke
and Pearl and Extensions
Biplot of Multivariate Data Based on Principal Components
Analysis
Beta Product Confidence Procedure for Right Censored Data
Bayesian Model Selection Approach for Parsimonious Gaussian
Mixture Models
Bayesian partial least squares regression
Bayesian Purity Model to Estimate Tumor Purity
Support for BPMN (Business Process Management Notation) Models
Visualize Process Execution Data on 'BPMN' Diagrams
Bayesian Projected Normal Regression Models for Circular Data
Computations Around Bayesian Predictive Power
Causal Effects in Principal Strata Defined by Antidrug
Antibodies
Bayesian Quantile Regression for Ordinal Models
A Method to Estimate the Accuracy and Biogeographical Status of
Georeferenced Biological Data
Bias Reduction Through Analysis of Competing Events (BRACE)
BRACoD: Bayesian Regression Analysis of Compositional Data
Calculate the Revealed Aggregator of Probability Predictions
Visualize Combined Action Response Surfaces and Report BRAID
Analyses
Fitting Combined Action with the BRAID Response Surface Model
Inference the Partial Correlations Based on Time Series Data
Region-Level Connectivity Network Construction via Kernel
Canonical Correlation Analysis
Helper Functions to 'misc3d' and 'rgl' Packages for Brain
Imaging
Efficient Best Subset Selection for GLMs via Branch and Bound
Algorithms
Simulation and Estimation for Branching Processes
Bootstrapped Robustness Assessment for Qualitative Comparative
Analysis
Bayesian Screening and Variable Selection
Accesses Brazilian Public Security Data from SINESP Since 2015
Download and Processing of Automatic Weather Stations (AWS) Data
of INMET-Brazil
Variable Selection and Ranking in Copula Survival Models
Affected by General Censoring Scheme
Fetch Zonal Statistics of Weather Indicators for Brazilian
Municipalities
Analyze Big Files Without Loading Them in Memory
Estimates Degrees of Relatedness (Up to the Second Degree) for
Extreme Low-Coverage Data
Species Richness Estimation and Modeling
Model Agnostic Explainers for Individual Predictions
Methods for Fast Multiple Change-Point/Break-Point Detection and
Estimation
An R Package for Multiple Break-Point Detection via the
Cross-Entropy Method
Core Functions to Read and Fit 13c Time Series from Breath Tests
Stan-Based Fit to Gastric Emptying Curves
Brain Cell Type Specific Gene Expression Analysis
Templating Framework for Report Generation
Bias Reduction in Binomial-Response Generalized Linear Models
Bias Reduction in Generalized Linear Models
Interface with the Brickset API for Getting Data About LEGO Sets
An Implementation of the Bridge Distribution with Logit-Link as
in Wang and Louis (2003)
Bridge Hand Generator with Criteria Selector
Genome-Wide RNA Degradation Analysis Using BRIC-Seq Data
Bridge Sampling for Marginal Likelihoods and Bayes Factors
A Tree and Forest Tool for Classification and Regression
Package for Brik, Fabrik and Fdebrik Algorithms to Initialise
Kmeans
Computation of BRINDA Adjusted Micronutrient Biomarkers for
Inflammation
Fast Inference for Large Spatial Datasets using BRISC
Bias Reduction with Missing Binary Response
Bayesian Marginal Effects for 'brms' Models
Bayesian Regularization for Feed-Forward Neural Networks
Broken Adaptive Ridge Regression with Cyclops
Broken Stick Model for Irregular Longitudinal Data
Browse Over Longitudinal Data Graphically and Analytically in R
Convert Statistical Objects into Tidy Tibbles
A Compression Format Optimized for the Web
Bayesian Analysis of Quantile Regression Models
Broadly Useful Convenient and Efficient R Functions
Interface to the 'OpenBUGS' MCMC Software
High-Level Modeling Functions with 'torch'
Retrieve Historical Data of Companies Listed on the 'BRVM' Stock
Exchange
A 'Bootstrap 4' Version of 'shinydashboard'
Safety Assessment in Agricultural Field Trials
Bayesian State-Space Models for Animal Movement
Bayesian Spectral Analysis Models using Gaussian Process Priors
Bayesian Survival Model with Lasso Shrinkage Using Generalized
Weibull Regression
Nonparametric Smoothing of the Hazard Function
Modeling and Computing Biogenic Silica ('bSi') from Inland and
Pelagic Sediments
Bayesian Super Imposition by Translation and Rotation Growth
Curve Analysis
Custom 'Bootstrap' 'Sass' Themes for 'shiny' and 'rmarkdown'
Bayes Screening and Model Discrimination
Build Decision Trees with Optimal Multivariate Splits
Bayesian Proposal to Fit Spatial Econometric Models
Bayesian Spatial Blind Source Separation
Bayesian Sparse Estimation of a Covariance Matrix
Bayesian Nonparametric Spectral Density Estimation Using
B-Spline Priors
Adds Functionality to the R Markdown + Shiny Bootstrap Framework
Bayesian Semiparametric Models for Meta-Analysis
Asymptotic Covariance Matrices of Some BSS Mixing and Unmixing
Matrix Estimates
Bayesian Inference of Non-Linear and Non-Gaussian State Space
Models
Blind Source Separation for Multivariate Spatial Data using
Eigen Analysis
Whitening Data as Preparation for Blind Source Separation
Create HTML Content with Bootstrap 5 Classes and Layouts
Association Among Disease Counts and Socio-Environmental Factors
Submitter and Monitor of the 'LSF Cluster'
Bayesian Estimation of Structural Vector Autoregressive Models
Bayesian SVARs with Sign, Zero, and Narrative Restrictions
Fitting a Log-Binomial Model using the Bekhit-Schöpe-Wagenpfeil
(BSW) Algorithm
Beyond the Border - Kernel Density Estimation for Urban
Geography
Bradley-Terry Model with Exponential Time Decayed Log-Likelihood
and Adaptive Lasso
Temporal Exponential Random Graph Models by Bootstrapped
Pseudolikelihood
Modelling Heterogeneity in Paired Comparison Data
Estimate the Number of Factors in Large Nonstationary Datasets
Implementing BTYD Models with the Log Sum Exp Patch
Probabilistic Models for Assessing and Predicting your Customer
Base
Produces 'bubbleHeatmap' Plots for Visualising Metabolomics Data
Beautiful Bubbles for 'shiny' and 'rmarkdown' Backgrounds
Bias and Uncertainty Corrected Sample Size
A Deep Learning for Statistical Classification and Regression
Analysis with Random Effects
Stepwise Elimination and Term Reordering for Mixed-Effects
Regression
Organize & Run Build Scripts Comfortably
System for Building and Debugging C/C++ Dynamic Libraries
Buckley-James Regression for Survival Data with High-Dimensional
Covariates
Interactive Shiny App for Bulk Sequencing Data
Quality Control and Outlier Identification in Bulk for
Multicenter Trials
The Ultimate Tool for Reading Data in Bulk
Automatic Groove Identification via Bayesian Changepoint
Detection
Bullish Trading Strategies Through Graphs
Visualising Multiple Pairwise Variable Correlations and Other
Scores
Tools for Modeling Bumblebee Colony Growth and Decline
Quantify Disease Transmission Within and Between Population
Groups
Analyze Bunching in a Kink or Notch Setting
Serialize Model Objects with a Consistent Interface
'Burgle': Stealing the Necessary Parts of Model Objects
R Wrapper for Bursa Municipality Open Data Portal
Markov Model for Bursty Behavior in Streams
Calculates Business Duration Between Two Dates
Simple Modelling Tools for Business Plans
Bayesian Analysis of a Vector Autoregressive Model with
Stochastic Volatility and Time-Varying Parameters
Bayesian Inference of Vector Autoregressive and Error Correction
Models
Bayesian Vector Heterogeneous Autoregressive Modeling
The Stark-Parker algorithm for bounded-variable least squares
Bayesian Variable Selection in High Dimensional Settings using
Nonlocal Priors
Backward Procedure for Change-Point Detection
Describe Image Patterns in Natural Structures
Bandwidth Selectors for Local Linear Quantile Regression
Baumgartner Weiss Schindler Test of Equal Distributions
Tools for Case 1 Best-Worst Scaling (MaxDiff) Designs
Statistics About Bytes Contained in a File as a Circle Plot
Bivariate Zero-Inflated Negative Binomial Model Estimator
Extended Inference for Lasso and Elastic-Net Regularized Cox and
Generalized Linear Models
Dataset of Regional COVID-19 Deaths per 100,000 Pop (NUTS)
Methods for Detecting Safety Signals in Clinical Trials Using
Body-Systems (System Organ Classes)
Compare Two Classifications or Clustering Solutions of Varying
Structure
Inferring Large-Scale Gene Networks with C3NET
C5.0 Decision Trees and Rule-Based Models
Simple, Multiple and Joint Correspondence Analysis
Project Specific Workspace Organization Templates
Bootstrap Confidence Regions for Simple and Multiple
Correspondence Analysis
Conjunctive Analysis of Case Configurations
Cross-Species Analysis of Cell Identities, Markers and
Regulations
Classification Accuracy and Consistency under Item Response
Theory
Conditional Density Estimation Network Construction and
Evaluation
A Package to Perform Covariate Augmented Dickey-Fuller Unit Root
Tests
CAESAR: a Cross-Technology and Cross-Resolution Framework for
Spatial Omics Annotation
Simulation of Plasma Caffeine Concentrations by Using Population
Pharmacokinetic Model
Conditional Akaike Information Criterion for 'lme4' and 'nlme'
Graphical Aid in Correspondence Analysis Interpretation and
Significance Testings
R Graphics Device using Cairo Graphics Library for Creating
High-Quality Bitmap (PNG, JPEG, TIFF), Vector (PDF, SVG,
PostScript) and Display (X11 and Win32) Output
Comparison of Algorithms with Iterative Sample Size Estimation
Calculations for All Common Subsequences
Comparative Analysis with Annotation-Based Genomic Components
Calculate Pesticide Risk Metric (PRM) Values from Multiple
Pesticides...Calc Them All
High Dimensional Numerical and Symbolic Calculus
Simple Wrapper for Computationally Expensive Functions
Create, Read, Write, and Work with 'iCalendar' Files, Calendars
and Scheduling Data
Ready to Print Monthly and Yearly Calendars Made with 'ggplot2'
'calendR' Fork with Additional Features (Backwards Compatible)
Multiple Imputation Using MICE and Random Forest
Calibration Plots for the Transition Probabilities from
Multistate Models
Automated Parameter Estimation for Complex Models
Calibration of Scatterplot and Biplot Axes
Calibration for Computer Experiments with Binary Responses
Weighting and Estimation for Panel Data with Non-Response
Bayesian Calibration of Complex Computer Codes
Mapping ML Scores to Calibrated Predictions
Assesses the Quality of Estimates Made by Complex Sample Designs
Computes Statistics from Discrimination Experimental Data
Easily Compile and Call Inline C Functions
Recording Synchronisation, Call Detection and Assignment, Audio
Analysis
Improved Allele-Specific Copy Number of SNP Microarrays for
Downstream Segmentation
Canonical Associative Learning Models and their Representations
'CamelUp' Board Game as a Teaching Aid for Introductory
Statistics
Datasets from "Microeconometrics: Methods and Applications" by
Cameron and Trivedi
Cell-Typing using Variance Adjusted Mahalanobis Distances with
Multi-Labeling
Connect to Campaign Manager via the 'Windsor.ai' API
Generic PK/PD Simulation Platform CAMPSIS
Read and Manipulate Camera Trap Data Packages
Camera Trap Data Management and Preparation of Occupancy and
Spatial Capture-Recapture Analyses
Maps of the Political and Administrative Divisions of Canada
Effortlessly Create Stunning Canadian Maps
Categorical Analysis of Neo- And Paleo-Endemism
Access, Retrieve, and Work with Canadian Census Data and
Geography
Publication Quality Phylogenetic Tree Plots
Classification of Cancer Using Administrative Data
Streamline Access to Cancer Screening Data
Visualizing Generalized Canonical Discriminant and Canonical
Correlation Analysis
Batch Correction of Single Cell Transcriptome Data
Accessing Intra-Tumor Heterogeneity and Tracking Longitudinal
and Spatial Clonal Evolutionary History by Next-Generation
Sequencing
Accessing Statistics Canada Data Table and Vectors
Directly Extracts Complete CANSIM Data Tables
Visualization Package for CanvasXpress in R
Combined Analysis of Pleiotropy and Epistasis for Diversity
Outbred Mice
Comparative Analyses of Phylogenetics and Evolution in R
Data on Scholarships in CAPES International Mobility Programs
Capital Budgeting Analysis, Annuity Loan Calculations and
Amortization Schedules
Compute and Visualize CAPL-2 Scores and Interpretations
Correspondence Analysis with Geometric Frequency Interpretation
A Virtual Patient Simulator in the Context of Calcium and
Phosphate Homeostasis
CAlibrating Penalities Using Slope HEuristics
Automatic Calibration by Evolutionary Multi Objective Algorithm
Covariate-Adaptive Randomization for Clinical Trials
Spatial Generalised Linear Mixed Models for Areal Unit Data
Data Used in the Vignettes Accompanying the CARBayes and
CARBayesST Packages
Spatio-Temporal Generalised Linear Mixed Models for Areal Unit
Data
Calibration and Summarisation of Radiocarbon Dates
Estimation of the Number of Fatalities from Carcass Searches
Cardiovascular Applications in Research Data
Lightweight Modern & Responsive Card Component for 'shiny'
Companion to Applied Regression Data Sets
Identification of Cardinal Dates in Ecological Time Series
High-Dimensional Regression and CAR Score Variable Selection
Carbon-Related Assessment of Silvicultural Concepts
Government of Canada Vehicle Recalls Database API Wrapper
Procedures for Computing Indices of Careless Responding
Correspondence Analysis Plot and Associations Visualisation
Conformal Time Series Forecasting Using State of Art Machine
Learning Algorithms
Continuous-Time Fractionally Integrated ARMA Process for
Irregularly Spaced Long-Memory Time Series Data
Estimation of Caribou Abundance Based on Radio Telemetry Data
Functions for Statistics Classes at Carleton College
Carlson Elliptic Integrals and Incomplete Elliptic Integrals
Covariate-Adjusted Adaptive Randomization via
Mahalanobis-Distance
Continuous Time Markov Rate Modeling for Reliability Analysis
Continuous Biomarker Evaluation with Adjustment of Covariates
A Collection of Database, Data Structure, Visualization, and
Utility Functions for R
Build Common Tables of Summary Statistics for Reports
Predicting Categorical and Continuous Outcomes Using One in Ten
Rule
Correlation-Adjusted Regression Survival (CARS) Scores
Crafting Print-Ready Maps and Layered Visualizations
Selection, Reverse-Engineering and Prediction in Cascade
Networks
Experimental Data of Cascade Experiments in Genomics
Covariate Assisted Spectral Clustering on Ratios of Eigenvectors
Casualty Actuarial Society Individual Claim Simulator
Fitting Flexible Smooth-in-Time Hazards and Risk Functions via
Logistic and Multinomial Regression
Identify Similar Cases for Qualitative Case Studies
Stratified Evaluation of Subgroup Classification Accuracy
Detection of Statistically Significant Combinations of SNPs in
Association Mapping
Finds Missing Links and Metric Confidence Intervals in
Ecological Bipartite Networks
Compute Scagnostics on Pairs of Numeric Variables in a Data Set
'caret' Applications for Spatial-Temporal Models
Analysis and Imputation of Categorical-Variable Datasets with
Missing Values
Handling an Inconsistently Coded Categorical Variable in a
Longitudinal Dataset
Analysis of Check-All-that-Apply (CATA) Data
Access the 'Spark Catalog' API via 'sparklyr'
Interface to the API 'Sede Electronica Del Catastro'
Covariate-Adjusted Tensor Classification in High-Dimensions
Test, Identify, Select and Mutate Categorical or Continuous
Values
Categorical Data Analysis Program Package
Datasets for Categorical Data Analysis by Agresti
Fishery Stock Assessment by Catch Dynamics Models
Community Assembly by Traits: Individuals and Beyond
Simulate IRT-Based Computerized Adaptive Tests
Formal Psychological Models of Categorization and Learning
Case-Control and TDT Meta-Analysis Package
Heatmap for Categorical Data using 'plotly'
Tools: Moving Window Statistics, GIF, Base64, ROC AUC, etc
Optimal Categorisation of Continuous Variables in Prediction
Models
Generation of IRT Response Patterns under Computerized Adaptive
Testing
Solution Paths for Linear and Logistic Regression Models with
Categorical Predictors, with SCOPE Penalty
Post-Estimation Functions for Generalized Linear Mixed Models
Create Catseye Plots Illustrating the Normal Distribution of the
Means
Binary and Categorical Image Similarity Index
Computerized Adaptive Testing for Survey Research
Computation of the p-Value for the Exact Conditional
Cochran-Armitage Trend Test
Powerful Test for Survival Data under Non-Proportional Hazards
Robust Principal Component Analysis Using the Cauchy
Distribution
Trait Evolution on Phylogenies Using the Cauchy Process
Fast, Easy, and Visual Bayesian Inference
Nonparametric and Cox-Based Estimation of Average Treatment
Effects in Competing Risks
Example Data Sets for Causal Inference Textbooks
Tools for Causal Discovery on Observational Data
Estimating Causal Dose Response Functions
Deriving Expressions of Joint Interventional Distributions and
Transport Formulas in Causal Models
Estimation of Causal Effects with Generalized Additive Models
Matching on Generalized Propensity Scores with Continuous
Exposures
Inferring Causal Effects using Bayesian Structural Time-Series
Models
MBSTS Models for Causal Inference and Forecasting
Causal Inference Modeling for Estimation of Causal Effects
An Interface to Specify Causal Graphs and Compute Bounds on
Causal Effects
Optimal Transport Weights for Causal Inference
Causal Effect for Population Attributable Fractions (PAF)
Make, Update, and Query Binary Causal Models
Selection Bias Approach to Sensitivity Analysis for Causal
Effects
Semiparametric Least Squares Inference for Causal Effects
Estimation Methods for Causal Inference Based on Inverse
Probability Weighting
Calculate Correlations and Estimate Causality
Control Charts with Guaranteed In-Control Performance and
Cautious Parameters Learning
Cluster Analysis via Random Partition Distributions
CRISPR Pooled Screen Analysis using Beta-Binomial Test
Classification -- Bayesian Adaptive Smoothing Splines
Continuous Analog of a Beta-Binomial Distribution
Compare Baseline Characteristics Between Groups
Choice-Based Conjoint Experiment Design Generation and Power
Evaluation in R
Continuous Analog of a Binomial Distribution
Causal Discovery under a Confounder Blanket
Contrast-Based Bayesian Network Meta Analysis
Statistics Netherlands (CBS) Open Data API Client
Fits Cubic Bezier Spline Functions to Intertemporal and Risky
Choice Data
(Robust) Canonical Correlation Analysis via Projection Pursuit
Concordance Correlation Coefficient for Repeated (and
Non-Repeated) Measures
The Cauchy-Cacoullos (Discrete Cauchy) Distribution
Combined Cluster and Discriminant Analysis
Utilities for Interacting with the 'CTX' APIs
Cox Model for Case-Cohort Data with Stratified
Subcohort-Selection
Transforming and Harmonizing CCHS Variables
Cross-Covariance Isolate Detect: a New Change-Point Method for
Estimating Dynamic Functional Connectivity
Convex Clustering Methods and Clustering Indexes
Consensus Clustering for Different Sample Coverage Data
Minimization of the Convex Clustering Loss Function
Implementation of Case-Control Optimal Matching
Estimation of Mean Costs in Censored Data
Significance Tests for Canonical Correlation Analysis (CCA)
Removes the Cell-Cycle Effect from Single-Cell RNA-Sequencing
Data
Correct and Cluster Response Style Biased Data
Canonical Correlations and Tests of Independence
Tools for the Continuous Convolution Trick in Nonparametric
Estimation
Consensus Analysis, Model-Based Clustering, and Cultural
Consensus Theory Applications
Perform Weighted Linear Regression for Calibration Curve
Cognitive Diagnostic Computerized Adaptive Testing
Conditional Distance Correlation Based Feature Screening and
Conditional Independence Inference
Interface to the California Data Exchange Center (CDEC)
Quantile Regression for Random Variables on the Unit Interval
Downscaling and Bias Correction via Non-Parametric CDF-Transform
Causal Decomposition of Group Disparities
Hidden Markov Models for Multivariate Panel Data
Cause-Deleted Life Expectancy Improvement Procedure
Tools to Download and Work with USDA Cropscape Data
Useful Tools for Cognitive Diagnosis Modeling
Constrained Dual Scaling for Detecting Response Styles
'CDsampling': Constraint Sampling in Paid Research Studies
'Copernicus Data Space Ecosystem' API Wrapper
Cuddy-Della Valle Index for Capturing the Instability in Time
Series Data
Sampling from Conditional C- and D-Vine Copulas
CRISPR Screen and Gene Expression Differential Analysis
CEEMDAN Decomposition Based Hybrid Machine Learning Models
Collection of Common Astronomical Conversion Routines and
Functions
Consistent Perturbation of Statistical Frequency- And Magnitude
Tables
Finds RNASeq Source Tissues Using In Situ Hybridisation Data
Cell Type Pipes for Single-Cell RNA Sequencing Data
Translate Spreadsheet Cell Ranges to Rows and Columns
Functions to Fit Cell Volume Distributions and Thereby Estimate
Cell Growth Rates and Division Times
Broken Adaptive Ridge AFT Model with Censored Data
Consistent Estimation of the Number of Communities via
Regularized Network Embedding
Estimating Time-Dependent ROC Curve and AUC for Censored Data
Linear Regression with a Randomly Censored Covariate
Finite Mixture of Multivariate Censored/Missing Data
Base de Datos de Facil Acceso del Censo 2017 de Chile (2017
Chilean Census Easy Access Database)
Download Data from Brazil's Population Census
Non-Trivial Balance of Centrifuge Rotors
Datasets of the CEO (Centre d'Estudis d'Opinio) for Opinion
Polls in Catalonia
Cross-Entropy R Package for Optimization
Context Driven Exploratory Projection Pursuit
Calculate Consumer Expenditure Survey (CE) Annual Estimates
Censored Quantile Regression & Monotonicity-Respecting Restoring
Causal Effect Random Forest of Interaction Tress
Outlier Detection Using the Iterated RMCD Method of Cerioli
(2010)
Identification and Analysis of ceRNA Regulation
Utilities for Certara's Nonlinear Mixed-Effects Modeling Engine
Easily Install Pharmacometric Packages and Shiny Applications
Developed by Certara
Generate Visual Predictive Checks (VPC) Using 'shiny'
Access the Canadian Election Study Datasets
Colony Formation Assay: Taking into Account Cellular Cooperation
Cause-Specific Framework for Competing-Risk Analysis
Counterfactual Decomposition: MC Integration of the G-Formula
Simple Similarity for User-Based Collaborative Filtering Systems
Canadian Forest Fire Danger Rating System
Generate Citation File Format ('cff') Metadata for R Packages
Identification of Counterfactual Queries in Causal Models
Cystic Fibrosis Survival Prediction Model Based on Stanojevic
Model
CFO-Type Designs in Phase I/II Clinical Trials
Estimate Disease Severity and Case Ascertainment
Using CF-Compliant Calendars with Climate Projection Data
Compare Groups, Analytically and Graphically
Constrained Groupwise Additive Index Models
Calculate AUC-type measure when gold standard is continuous and
the corresponding optimal linear combination of variables with
respect to it
Conditional Graphical LASSO for Gaussian Graphical Models with
Censored and Missing Values
Fits Conditional Generalized Linear Models
Clean and Analyze Continuous Glucose Monitor Data
Continuous Glucose Monitoring Data Analyzer
Analyzing Glucose and Glucose Variability
Powell Miscellaneous Functions for Teaching and Learning
Statistics
Compound Growth Rate for Capturing the Growth Rate Over the
Period
Chain Binomial Models for Analysis of Infectious Disease Data
Statistical Methods and Models for Claims Reserving in General
Insurance
Automatic Colors for Multi-Dimensional Data
Geometrically Inspired Multivariate Changepoint Detection
Package to Calculate the Influence of the Data on a Changepoint
Segmentation
Methods for Nonparametric Changepoint Detection
A Collection of Change-Point Detection Methods
Change-Points Detections for Changes in Variance
Change Point Estimation for Clustered Signals
Change Point Tests for Joint Distributions and Copulas
Markov Model for Online Multi-Channel Attribution
Shiny Web Application for the Multichannel Attribution Problem
Loglikelihood Adjustments for Econometric Models
Wrapper Functions Around 'Charles Schwab Individual Trader API'
Simplified Language for Plots and Charts
Chat-Based Interactive Artificial Intelligence for R
Interact with Large Language Models in 'RStudio'
Simple Functions to Save Time and Memory
Check the Basic Validity of a (Function) Argument
Check-Fields and Check-Boxes for 'rmarkdown'
Checks 'R' Configuration Set Up Correctly Before Class
Checks if a Number is Valid Using the Luhn Algorithm
Install Packages from Snapshots on the Checkpoint Server for
Reproducibility
Intuitive Unit Testing Tools for Data Manipulation
Analysis and Visualisation of Ecological Communities
Interactively Explore Local Explanations with the Radial Tour
Tools for Working with Data During Statistical Analysis
Collection of 3 Chemical Databases from Public Sources
Chemical Metrics for Microbial Communities
Calibration Functions for Analytical Chemistry
Analysis of Chemical Degradation Kinetic Data
Causal Inference with High-Dimensional Error-Prone Covariates
and Misclassified Treatments
Analysing Chemodiversity of Phytochemical Data
Multivariate Statistical Analysis in Chemometrics
Exploratory Chemometrics for 2D Spectroscopy
Functions Supporting Packages ChemoSpec and ChemoSpec2D
Multiple Testing Methods for Exploratory Research
Read, Write, Create and Explore Chess Games
Create Network Connections Based on Chess Moves
FIDE Chess Players Ratings for 2015 and 2020
Change-in-Estimate Approach to Assess Confounding Effects
Estimate the Chest Volume with Markers Data
Standard TLGs for Clinical Trials Reporting
Closest History Flow Field Forecasting for Bivariate Time Series
Access and Harmonize Childfree Demographic Data
Data and Methods Around Reference Values in Pediatrics
Mapas de las Divisiones Politicas y Administrativas de Chile
(Maps of the Political and Administrative Divisions of Chile)
Processing Chill and Heat Models for Temperate Fruit Trees
Statistical Methods for Phenology Analysis in Temperate Fruit
Trees
Miscellaneous Tools for Chinese Text Mining and More
Toolkit of Helper Functions to Pre-Process Amplification Data
A Post Hoc Analysis for Pearson's Chi-Squared Test for Count
Data
Chi-Square and G-Square Test of Independence, Power and Residual
Analysis, Measures of Categorical Association
Convert Antipsychotic Doses to Chlorpromazine Equivalents
Estimation and Hypothesis Testing for Threshold Regression
Thermodynamic Calculations and Diagrams for Geochemistry
Amend, Augment and Aid Analysis of John Snow's Cholera Map
Cholesky Decomposition of the Wishart Distribution
Choose the Number of Principal Components via Recistruction
Error
Permutation Test for Some Positive and Many Zero Responses
Simplify the Creation of Choropleth Maps in R
Contains an Administrative-Level-1 Map of the World
Contains Maps Used by the 'choroplethr' Package
Generation of Different Animated Christmas Cards
Interface to Chromosome Counts Database API
Interactive Genomic Visualization of Biological Data
Chronological Objects which Can Handle Dates and Times
Chunkwise Text-File Processing for 'dplyr'
Functions for Conditional Hypergeometric Distributions
Learn and Apply Directed Acyclic Graphs for Causal Inference
Cluster Independent Algorithm for Rare Cell Types Identification
Calibration of Confidence Intervals to Support Intervals
Causal Inference in Case-Control and Case-Population Studies
Causal Inference with Continuous (Multiple Time Point)
Interventions
Estimating and Testing Direct Effects in Directed Acyclic Graphs
using Estimating Equations
Estimate the Confidence Intervals for Predictive Values
Toolbox for Connectivity Informatics Technology Initiative
('CIFTI') Files
Tools for Reading, Writing, Viewing and Manipulating CIFTI Files
Analysis of Longitudinal Electronic Health Record (EHR) Data
with Possibly Informative Observational Time
Causal Inference for Multiple Treatments with a Binary Outcome
A Computational Pipeline for Bulk 'ATAC-Seq' Profiles
Ready-to-Use Curated Gene Sets for 'cinaR'
Classification International Normalized of Education
Deciphering Central Informative Nodes in Network Analysis
Computationally-Efficient Confidence Intervals for Mean Shift
from Permutation Methods
Encryption and Decryption with Text Ciphers
Confidence Interval Post-Selection of Variable
Centered Isotonic Regression and Dose-Response Utilities
Construct Cohort Inclusion and Restriction Criteria Expressions
Algorithm for Computation of the Intersection Areas of N Circles
Visualize Proportions with Circles in a Plot
Curve Text Elements in 'Shiny' Using 'CircleType.js'
Clustering and Simulation of Spherical Cauchy and PKBD Models
Maximum Likelihood Analysis of Circular Data
Statistical Analysis of Circular Data using Nonnegative
Trigonometric Sums (NNTS) Models
Multivariate Circular Data using MNNTS Models
Detection of Outliers in Circular-Circular Regression
Spatial and Spatio-Temporal Bayesian Model for Circular Data
Circular Statistics, from "Topics in Circular Statistics" (2001)
Extreme Value Analysis for Circular Data
Fast Silhouette on Circular or Linear Data Clusters
Analysis and Visualization of Circular Data
Constrained Iteratively Reweighted Least Squares
Covariates, Interaction, and Selection for DGLM
Perform Forward and Backwards Chasing in Evidence Syntheses
Clinical Trials with Intercurrent Events Simulator
Estimation of Cell Infiltration Based on Cell Crosstalk
Colombian Index Tool Market Rate Exchange
Confidence or Prediction Intervals, Quantiles, and Probabilities
for Statistical Models
Customer Intelligence Tool for Rapid Understandable Segmentation
Confidence Intervals Utilizing Uncertain Prior Information
Kabaila and Giri (2009) Confidence Interval
Copula-Based Joint Analysis of Multiple Phenotypes
R Client for 'Customer Journey Analytics' ('CJA') API
Heterogeneous Effects Analysis of Conjoint Experiments
Canonical Joint and Individual Variation Explained (CJIVE)
Client for the Comprehensive Knowledge Archive Network ('CKAN')
API
Composite Kernel Association Test for Pharmacogenetics Studies
Composite Kernel Machine Regression Based on Likelihood Ratio
Test
Optimal, Fast, and Reproducible Univariate Clustering
Forward-in-Time Simulation and Tallying of Pairwise
Relationships
Measuring Morphological Diversity and Evolutionary Tempo
C++ Implementations of Phylogenetic Cladogenesis Calculations
Classical Age-Depth Modelling of Cores from Deposits
Time Series Modeling for Climate Change Proxies
Detecting Class Overlapping Regions in Multidimensional Data
Interior Point Conic Optimization Solver
Simulation-Based Inference for Regression Models
Distribution-Free Tests of Non-Nested Models
Classes and Methods for "Class Comparison" Problems on
Microarrays
Classes and Methods for "Class Discovery" with Microarrays or
Proteomics
Construct Graphs of S4 Class Hierarchies
Generates a Visualization of Classifier Performance as a Grid of
Diagnostic Plots
Explore Classification Models in High Dimensions
Exact Confidence Limits after a Sequential Trial
To Inspect and Manipulate Data; and to Keep Track of This
Process
Clean and Standardize Epidemiological Data
Cleaning Geometries from Spatial Objects
Cleaning Validation Functions for Pharmaceutical Cleaning
Process
A Tidy Data Model for Natural Language Processing
Clean Class-Less 'R Markdown' HTML Documents
Testbench for Univariate Time Series Cleaning
Composite Likelihood Estimation for Spatial Data
Clustering and Link Prediction Evaluation in R
Helpers for Developing Command Line Interfaces
Implement 'tableGrob' Object as a Clickable Image Map
Web Data Analysis by Bayesian Mixture of Markov Models
Model-Based Clustering of Categorical Sequences
Mixtures of Continuous Time Markov Models
A Simple HTTP Database Interface to 'ClickHouse'
Semi-Automatic Preprocessing of Messy Data with Change Tracking
for Dataset Cleaning
Analyzes Clickstreams Based on Markov Chains
Monthly Climate Data for Germany, Usable for Heating and Cooling
Calculations
Execute Command Line Programs Interactively
Easily Download and Visualise Climate Data from CliFlo
Complex-Valued Wavelet Lifting Estimators of the Hurst Exponent
for Irregularly Sampled Time Series
Censoring Data and Likelihood-Based Correlation Estimation
Interface to Download Meteorological (and Hydrological) Datasets
Estimating Climate Stability from Climate Model Data
Climate Tools (Series Homogenization and Derived Products)
Climate Variability Indices for Ecological Modelling
Climate Classification According to Several Indices
Generating Rainfall Rasters from IMD NetCDF Data
Constrained L1-Minimization for Inverse (Covariance) Matrix
Estimation
Set of Tools to Compute Various Climate Indices
Simulation and Analysis Tools for Clinical Dose Response
Modeling
Clinical Trial Design and Data Analysis Functions
Interface with the 'ClinicalOmicsDB' API, Allowing for Easy Data
Downloading and Importing
A Toolbox for Clinical Significance Analyses in Intervention
Studies
Summary Measures for Clinical Trials with Survival Outcomes
Recalibration Methods for Improved Clinical Utility of Risk
Scores
Hemodynamic Calculations from Clinical Monitoring
Clinical Natural Language Processing using 'spaCy', 'scispaCy',
and 'medspaCy'
Connect and Work with Clinical Trials Data Sources
General Utility Functions for Analysis of Clinical Data
Calculating Likelihoods by Pedigree Paring
Read and Write from the System Clipboard
Constrained Inference for Linear Mixed Effects Models
Fitting Exact Conditional Logistic Regression with Lasso and
Elastic Net Penalties
Estimate Growth Rates from Phylogenetic Trees
Seeking and Finding Clones in Copy Number and Sequencing Data
Composite Likelihood Inference and Diagnostics for Replicated
Spatial Ordinal Data
Integrate Single-Arm Observational Data in Network Meta Analysis
Streamlined Interface to Interact with Cloud Storage Platforms
Interface to the Google Cloud Machine Learning Platform
Compute Price of Production and Labor Values
Curve Linear Regression via Dimension Reduction
Parallel Random Number Generation on GPU
Clinical and Laboratory Standards Institute (CLSI) EP15-A3
Calculations
Central Limit Theorem Experiments (Theoretical and Simulation)
Classification Using Binary Procrustes Rotation
Cluster-Robust (Sandwich) Variance Estimators with Small-Sample
Corrections
Multidimensional Cluster Generation Using Support Lines
Bootstrap a Clustering Solution to Establish the Stability of
the Clusters
A Procedure for Cluster Evolution Analytics
Simultaneous Semi-Parametric Estimation of Clustering and
Regression
ROC Analysis in Three-Class Classification Problems for
Clustered Data
Simultaneous Detection of Clusters and Cluster-Specific Genes in
High-Throughput Transcriptome Data
Statistical Methods for Analyzing Clustered Matched Pair Data
Identifying Similar T Cell Receptor Hyper-Variable Sequences
with 'ClusTCR2'
Clusters of Effects Curves in Quantile Regression Models
"Finding Groups in Data": Cluster Analysis Extended Rousseeuw et
al.
Performs Tests for Cluster Tendency of a Data Set
Analyze Clustered Data with Generalized Linear Models using the
Cluster Bootstrap
Location and Visualization of Clustered Somatic Mutations
Random Cluster Generation (with Specified Degree of Separation)
Tools for Clustering High-Dimensional Data
Optimal Distance-Based Clustering for Multidimensional Data with
Sequential Constraint
Cluster Analysis with Missing Values by Multiple Imputation
Unbiased Single-Cell Transcriptomic Data Cell Type
Identification
Evaluate Function Calls on HPC Schedulers (LSF, SGE, SLURM,
PBS/Torque)
Integrative Clustering for Heterogeneous Biomedical Datasets
Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids
and Affinity Propagation Clustering
Reproducibility of Gene Expression Clusters
Calculate Cluster-Robust p-Values and Confidence Intervals
Searching for Optimal Clustering Procedure for a Data Set
Assessment of Stability of Individual Objects or Clusters in
Partitioning Solutions
Fitting Latent Class Vector-Autoregressive (VAR) Models
Hierarchical Clustering with Spatial Constraints
K-Means Clustering with Build-in Missing Data Imputation
Learn Clustering Techniques Through Examples and Code
k-Prototypes Clustering for Mixed Variable-Type Data
Prediction and Clustering on the Torus by Conformal Prediction
Monitor Changes in Cluster Solutions of Dynamic Datasets
Methods for Joint Dimension Reduction and Clustering
Visualise Clusterings at Different Resolutions
Interactive Document for Working with Cluster Analysis
Spatio-Temporal Finite Mixture Model using 'TMB'
Clustering of Variables Around Latent Variables
Variable Selection for Gaussian Model-Based Clustering
Gaussian-Based Visualization of Gaussian and Non-Gaussian
Model-Based Clustering
Tools for Customer Lifetime Value Estimation
Covariance Matrix Adapting Evolutionary Strategy
Covariance Matrix Adaptation Evolution Strategy
Calculate Distance Measures for a Given List of Data Frames with
Factors
Commercial Modular Aero-Propulsion System Simulation Data Set
Representation Tool For Output Of Connectivity Map (CMap)
Analysis
Implementation of the Conic Multivariate Adaptive Regression
Splines in R
Conditional Mixture Modeling and Model-Based Clustering
Computer Model Calibration for Deterministic and Stochastic
Simulators
An Implementation of the 'Congruent Matching Cells' Method
Framework for Building Interfaces to Shell Commands
Bi-Level Selection of Conditional Main Effects
Collective Matrix Factorization for Recommender Systems
Calibrated Model Fusion Approach to Combine Surrogate Markers
Access, Retrieve, and Work with CMHC Data
Computational Methods for Numerical Analysis
Subdistribution Analysis of Competing Risks
Use IPW to Estimate Treatment Effect under Competing Risks
Analysis of Competing Risks Using Quantile Regressions
R Implementation of Congruent Matching Profile Segments Method
Analysis of Cardiac Magnetic Resonance Images
Misc Functions of the Center for Mathematical Research
Interactive Document for Working with Confusion Matrix
Statistical Methods for Composite Material Data
More Statistical Methods for Composite Material Data
The Complex Multivariate Gaussian Distribution
Causal Modeling with Coincidence Analysis
Common Network Asset Indices Methodology (CNAIM)
Optimizing Consistency and Coverage in Configurational Causal
Modeling
Canonical Non-Symmetrical Correspondence Analysis in R
Get Basic Information from Chinese ID Number
Complex-Valued Wavelet Lifting for Signal Denoising
Complex-Valued Wavelet Lifting for Univariate and Bivariate Time
Series Analysis
Pre-Process DNA Copy Number (CN) Data for Detection of CN Events
Dirichlet Multinomial Modeling of Relative Abundance Data
A Versatile Toolkit for Copy Number Variation Relationship Data
Analysis and Visualization
High-Dimensional Covariate-Augmented Overdispersed Poisson
Factor Model
Calculation of the Fractal Dimension of a Coastline
Conditional Method Agreement Trees (COAT)
Biclustering via Latent Block Model Adapted to Overdispersed
Count Data
Constrained B-Splines (Sparse Matrix Based)
Convolution-Closed Models for Count Time Series
Covariate-Based Covariance Functions for Nonstationary Spatial
Modeling
COmbat CO-Normalization Using conTrols (COCONUT)
Extract, Format, and Print Statistical Output
CoCoSo - Combined Compromise Solution Method for MCDA
Dependence Condition Test Using Ranked Correlation Coefficients
Statistical Comparisons of Two or more Alpha Coefficients
Output Analysis and Diagnostics for MCMC
A Basic Set of Functions for Compositional Data Analysis
Compositional Data Analysis for Microbiome Studies
Learning Sparse Log-Ratios for Compositional Data
Transformation-Free Linear Regression for Compositional Outcomes
and Predictors
Compositional Data Linear Models with Composition Redistribution
Automated C Code Generation for 'deSolve', 'bvpSolve'
Automatic Codebooks from Metadata Encoded in Dataset Attributes
Counting Codes in a Text and Preparing Data for Analysis
Analysis of R Code for Reproducible Research and Code
Comprehension
Identify Relevant Clinical Codes and Evaluate Their Use
Generate 'CodeMeta' Metadata for R Packages
Generation of Code Names for Organizations, People, Projects,
and Whatever Else
Deterministic Categorization of Items Based on External Code
Data
Find the Location of an R Package's Code
The CODEX (Comorbidity, Obstruction, Dyspnea, and Previous
Severe Exacerbations) Index: Short and Medium-Term Prognosis in
Patients Hospitalized for Chronic Obstructive Pulmonary Disease
(COPD) Exacerbations
Seq2Seq Encoder-Decoder Model for Time-Feature Analysis Based on
Tensorflow
Alternative Factor Coding Matrices for Linear Model Formulae
Meta Analysis of Factor Analysis Based on CO-Occurrence Matrices
Robust Coefficient Alpha and Omega with Missing and Non-Normal
Data
Chronological Ordering for Fossils and Environmental Events
Collaborative Graphical Lasso - Multi-Omics Network
Reconstruction
Cognitive Mapping Tools Based on Coding of Textual Sources
Authentication for 'Shiny' Apps with 'Amazon Cognito'
Cohen's D_p Computation with Confidence Intervals
Use of Interval Algebra to Create New Cohort(s) from Existing
Cohorts
Summarise and Visualise Characteristics of Patients in the OMOP
CDM
Build and Manipulate Study Cohorts Using a Common Data Model
Explorer of Profiles of Patients in a Cohort
Cohort Generation for the OMOP Common Data Model
Simulation of Cohort Platform Trials for Combination Treatments
Estimate Survival from Common Data Model Cohorts
Sequence Symmetry Analysis Using the Observational Medical
Outcomes Partnership Common Data Model
Contextualization and Evaluation of COI-5P Barcode Data
Parametric and Non-Parametric Copula-Based Imputation Methods
Conditional Inference Procedures in a Permutation Test Framework
Get 'Cryptocurrencies' Market Cap Prices from Coin Market Cap
Composite Indicator Construction and Analysis
Consistent Monitoring of Stationarity and Cointegrating
Relationships
Parameter Estimation and Inference in a Cointegrating Regression
Constrained Optimization on Linear Function
Collapses Levels, Computes Information Value and WoE
Interactive Collapsible Tree Diagrams using 'D3.js'
Functions Related to the Collatz/Syracuse/3n+1 Problem
Check for Namespace Collisions Across Packages and Functions on
CRAN
Visualization the Effects of Collinearity in Distributed Lag
Models and Other Linear Models
Collocation Inference for Dynamic Systems
Collapsed Latent Position Cluster Model for Social Networks
Auxiliary Package for Package 'CollapsABEL'
Dengue Cases and Climate Variables in Colombo Sri Lanka
Colocalisation Tests of Two Genetic Traits
Proportional Testing for Colocalisation Analysis
Conduct Co-Localization Analysis of Fluorescence Microscopy
Images
Download Colombian Demographic, Climate and Geospatial Data
Check Color Palettes for Problems with Color Vision Deficiency
Distance Metrics for Image Color Similarity
Extract Colors from Windows BMP, JPEG, PNG, TIFF, and SVG Format
Images
Coloring Wildlife Distributions in Space-Time
Colorize Old Images Using the 'DeOldify' Image Colorization API
Color Palettes using Colormaps Node Module
Optimized Rendering of Fold Changes and Confidence Values
Basic S4 Classes and Methods for Mapping Between Numeric Values
and Colors
Color Palettes for EPL, MLB, NBA, NHL, and NFL Teams
Repel Visually Similar Colors for Colorblind Users in Various
Plots
A Toolbox for Manipulating and Assessing Colors and Palettes
Color Calculations with Emphasis on Spectral Data
"Risk Model Regression and Analysis with Complex Non-Linear
Models"
A Colour Picker Tool for Shiny and for Selecting Colours in
Plots
Causal Discovery for Categorical Data with Label Permutation
Creates Co-Occurrence Matrices of Spatial Data
Analysis of Concept Maps and Concept Landscapes
A Combined Association Test for Genes using Summary Statistics
Fit and Apply ComBat, LMM, or Prescaling Harmonization for
ENIGMA and Other Multisite MRI Data
Introduction to Some Combinatorial Relations
Calculate Scores and Marks for Track and Field Combined Events
Estimation of Optimal Portfolio Weights by Combining Simple
Portfolio Strategies
A Combined Interaction Test for Unreplicated Two-Way Tables
Construction Methods of some Series of PBIB Designs
Selection and Ranking of Omics Biomarkers Combinations Made Easy
Correcting Misclassified Binary Outcomes in Association Studies
Exact Test from the Combinations of Mutually Exclusive
Alterations (CoMEt) Algorithm
Covariance Measure Tests for Conditional Independence
Models and Equations for Human Comfort Research
Commonly Used Functions for R Shiny Applications
Computational Methods for Immune Cell-Type Subsets
Coarsened Mixtures of Hierarchical Skew Kernels
Call Functions Without Commas Between Arguments
Network-Based Communities and Kernel Machine Methods
OMOP CDM DDL and Documentation Generator
Useful Libraries for Building a Java Based GUI under R
High Performance CommonMark and Github Markdown Rendering in R
JAR Files of the Apache Commons Mathematics Library
Feature Extraction and Model Estimation for Audio of Human
Speech
Assessing Predisposition Between Phenotypes using Polygenic
Scores
Comparison Functions for Clustering and Record Linkage
Compare Two Correlated C Indices with Right-Censored Survival
Outcome
Interface to Diverse Estimation Methods of Causal Networks
Statistical Functions for the Design of Studies with Composite
Endpoints
Do a Git Style Diff of the Rows Between Two Dataframes with
Similar Structure
Compare MCMC Efficiency from 'nimble' and/or Other MCMC Engines
Finding the Best Model Using Eight Metrics Values
Correct for Verification Bias in Diagnostic Accuracy & Agreement
Multivariate Likelihood Ratio Calculation and Evaluation
Comparison of Survival Curves Between Two Groups
Conformational Manipulations of Protein Atomic Structures
A Graphical User Interface for Antitrust and Trade Practitioners
Computation of Relative Weights of Variables and Composite Index
Values Based on PCA
Time Series Analysis and Forecasting Using Complex Variables
Calculate the Proportion of Permutations in Line with an
Informative Hypothesis
Create Complex UpSet Plots Using 'ggplot2' Components
Robust Linear Regression with Compositional Data as Covariates
A Comprehensive Toolkit for Environmental Mixtures Analysis
('CompMix')
Determine the Composite Reliability of a Naturalistic,
Unbalanced Dataset
Optimizing the Composite Reliability in Multivariate Nested
Designs
Machine Learning with Compositional Data
Multivariate Random Forest with Compositional Responses
Univariate Feature Selection and Compound Covariate for
Predicting Survival, Including Copula-Based Analyses for
Dependent Censoring
Discrete Composite Distributions with Pareto Tails
Distribution Function of Quadratic Forms in Normal Variables
Flexible Framework for Simulating Community Assembly
Partitioning the Drivers of Stability of Ecological Communities
Interface with the United Nations Comtrade API
Calculate the AQI from Pollutant Concentration
Calculate the Dutch Air Quality Index (LKI)
Human-Friendly Text from Unknown Strings
Connected Components of an Undirected Graph
Conconi Estimate of Anaerobic Threshold from a TCX File
Optimisation with Continuous Convex Piecewise (Linear and
Quadratic) Functions
An Alternative to the Kruskal-Wallis Based on the Kendall Tau
Distance
Market Structure, Concentration and Inequality Measures
Copy Number Profile Curve-Based Association Test
Approximate Conditional Inference for Logistic and Loglinear
Models
Estimation and Inference for Conditional Copula Models
Parameter Estimation in Conditional GEE for Recurrent Event Gap
Times
Computation of P Values and Bayes Factors for Conditioning Data
Censored Data Imputation for Direct Modeling
Conditional Probabilities of Distributions Across Hearts Hands
Control How Many Times Conditions are Thrown
Conditional Multivariate t Distribution, Expectation
Maximization Algorithm, and Its Stochastic Variants
Estimation of the Conditional Survival Function for Ordered
Multivariate Failure Time Data
Conditional Truncated Multivariate Normal Distribution
Create Tours in 'Shiny' Apps Using 'Shepherd.js'
Conditional Visualization for Statistical Models
Interactive Conditional Visualization for Supervised and
Unsupervised Models in Shiny
Primal or Dual Cone Projections with Routines for Constrained
Regression
Visualization and Analysis of Statistical Measures of Confidence
Confidence and Consistency of Predictive Distribution Models
Confidence Estimation of Environmental State Classifications
Computation of 2D and 3D Elliptical Joint Confidence Regions
Manage Environment Specific Configuration Values
Package to Parse an INI File, Including Variable Interpolation
An Implementation of Parsing and Writing Configuration File
(JSON/INI/YAML/TOML)
Descriptive Interpretations of Confidence Intervals
Confidence Intervals for Robust and Classical Linear Mixed Model
Estimators
Confidence Interval for the Univariate Population Variance
without Normality Assumption
An Alternative Conflict Resolution Strategy
Jackknife(+) Predictive Intervals for Bayesian Models
Transductive and Inductive Conformal Predictions for
Classification Problems
Tools for Conformal Inference for Regression in Multivariate
Functional Setting
Conformal Inference Tools for Regression with Multivariate
Response
Configural Frequencies Analysis Using Log-Linear Modeling
Estimates and Bounds for the False Discovery Proportion, by
Permutation
Confidence Envelopes for Model Selection Criteria Based on
Minimum ZIC
Distance Metrics for Trees Generated by Congreve and Lamsdell
Correlation Guided Network Integration (CoNI)
Algorithms for Fitting Circles, Ellipses and Conics Based on the
Work by Prof. Nikolai Chernov
An Implementation of Conjoint Analysis Method
A Parametric Method for Generating Synthetic Data
Estimations using Conley Standard Errors
Contingency Measure-Based Networks for Binary Time Series
Utilities for Interacting with the 'Posit Connect' Server API
Integrates with the 'RStudio' Connections Pane and 'pins'
Organize and Curate Your Content Within 'Posit Connect'
Tools for Working with Connectivity Data
Conover-Iman Test of Multiple Comparisons Using Rank Sums
Client for the Microsoft's 'Cognitive Services Text to Speech
REST' API
Consensus OPLS for Multi-Block Data Fusion
Identifying Conservation Prioritization Methods Based on Data
Availability
An Easy and Quick Way to Loop a Character Vector as a Menu in
the Console
Partial Linear Least-Squares Regression using Constrained
Splines
Compute the Median Ranking(s) According to the Kemeny's
Axiomatic Approach
Classification and Clustering of Preference Rankings
Fits Regression & ARMA Models Subject to Constraints to the
Coefficient
Reference on Constants, Units and Uncertainty
Identify Event Sequences Using Time Series Joins
Constrained, Covariance-Matching Constrained and Universal Point
or Block Kriging
Models Spatially Continuous and Discrete Population Genetic
Structure
Display Idiomatic Code to Construct Most R Objects
Social Contact Matrices for 177 Countries
Clustering and Classification with the Contaminated Normal
An Interface for Content-Based Identifiers
'a la Carte' on Text (ConText) Embedding Regression
Continued Fraction Generators and Evaluators
Statistical Analysis of Contingency Tables
Contouring of Non-Regular Three-Dimensional Data
Create Contour Plots from Data or a Function
Plots x,y,z Co-Ordinates in a Contour Map
Predictive Probability for a Continuous Response with an ANOVA
Structure
A Tiny Contribution Table Generator Based on 'ggplot2'
Control Function Methods with Possibly Invalid Instrumental
Variables
Quantile Comparison for Two-Sample Right-Censored Survival Data
Visualize the Effect of a Continuous Variable on a Time-to-Event
Outcome
Convert Decimal to Binary-Coded Decimal (BCD) Form and Vice
Versa
Use the Given Parameters to Calculate the European Option Value
Convert Gene IDs Between Each Other and Fetch Annotations from
Biomart
Estimating IRT Parameters via Machine Learning Algorithms
Income Concentration Analysis with Complex Survey Samples
Probabilistic Species Co-Occurrence Analysis in R
Your Friendly Solution to Managing Browser Cookies
Practical Tools for Scientific Computations and Visualizations
Co-Operation: Fast Covariance, Correlation, and Cosine
Similarity Operations
Important Concepts of Cooperative Game Theory
Automated Cleaning of Occurrence Records from Biological
Collections
Coordinated Networks Detection on Social Media
General Bivariate Copula Theory and Many Utility Functions
Fitting the copCAR Regression Model for Discrete Areal Data
Correlates of Protection and Correlates of Risk Functions
Copula-Based Semiparametric Analysis for Time Series Data with
Detection Limits
Coverage Probability Excursion (CoPE) Sets
Estimating Copula Entropy and Transfer Entropy
Search Download and Handle Data from Copernicus Marine Service
Information
Adaptation of the Coloc Method for PheWAS
Tools for Nonparametric Martingale Posterior Sampling
Copula-Based Sensitivity Analysis for Observational Causal
Inference
Copula-Based Estimation and Statistical Process Control for
Serially Correlated Time Series
Copula Markov Model with Dependent Censoring
Analysis of Bivariate Survival Data Based on Copulas
Fitting Additive Copula Regression Models for Binary Outcome
Regression
Copula-Based Regression Models for Multivariate Censored Data
Estimation of Distribution Algorithms Based on Copulas
Estimation and Goodness-of-Fit of Copula-Based Models with
Arbitrary Distributions
Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic
Test Accuracy Studies
Virtual Patient Simulation by Copula Invariance Property
Assembling Long Gene Copies from Short Read Data
The COR for Optimal Subset Selection in Distributed Estimation
Apply 'colorffy' Color Gradients Within 'shiny' Elements
Generate High-Dimensional Binary Data with Correlation
Structures
Community Estimation in G-Models via CORD
Programmatic Analysis of Sediment Cores Using Computed
Tomography Imaging
Classification, Regression and Feature Evaluation
R Binding for the 'Certifiably Optimal RulE ListS (Corels)'
Learner
Core Functionality for Simulating Quantities of Interest from
Generalised Linear Models
Hidden Markov Models of Character Evolution
Record Linkage, Incorporating Imputation for Missing Agreement
Patterns, and Modeling Correlation Patterns Between Fields
Correct Mass Isotopologue Distribution Vectors
Count Regression for Correlated Observations with the
Beta-Binomial
Collection of Scripts for Interface Between 'Cornerstone' and
'R'
Penalised Regression for Dichotomised Outcomes
Confounding Robust Independent Component Analysis for Noisy and
Grouped Data
The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Dataset
Efficient Estimation of Covariance and (Partial) Correlation
Tools for Valuation, Financial Metrics and Modeling in Corporate
Finance
Statistics and Data Sets for Corpus Frequency Data
A 'Shiny' App for Exploration of Text Collections
Power Calculations for Assessing Correlates of Risk in Clinical
Efficacy Trials
Managing, Querying and Analyzing Tokenized Text
Implementation of 2D Correlation Analysis in R
Correlation Arrays and 2-Sample Correlation Matrices
Nonparametrics with Clustered Binary and Multinomial Data
Correcting the Coverage of Credible Sets from Bayesian Genetic
Fine Mapping
Finding Associations in Position-Wise Aligned DNA Sequence
Dataset
Correct Overloaded Peaks from GC-APCI-MS Data
Corrected Test Statistics for Comparing Machine Learning Models
on Correlated Samples
Speed Up Exploratory Data Analysis (EDA) with the Correlation
Funnel
A Collection of Functions for Graphing Correlation Matrices
Creating Correspondence Tables Between Two Statistical
Classifications
Explore Correlations Between Variables in a Machine Learning
Model
Estimate Correlations Between Repeatedly Measured Endpoints
(E.g., Reliability) Based on Linear Mixed-Effects Models
Software for Summarising and Evaluating STRUCTURE Output
Creates and Saves Out a Correlation Table with Significance
Levels Indicated
Modeling Correlational Magnitude Transformations in
Discretization Contexts
Arbitrary Bounding of Series and Time Series Objects
Significance Testing of Rank Cross-Correlations under SRD
Bound Constrained Optimal Sample Size Allocation
Fast Fitting of Stable Isotope Mixing Models with Covariates
Tools for Estimating and Predicting the Cosinor Model
Extended Tools for Cosinor Analysis of Rhythms
Mutational Signatures from COSMIC (Catalogue of Somatic
Mutations in Cancer)
Functions for Cosmological Distances, Times, Luminosities, Etc
Fit Regularized Nonparametric Regression Models Using COSSO
Penalty
Copula-Based Semiparametric Models for Spatio-Temporal Data
Locates and Counts Pixels Within Color Range(s) in Images
A Countdown Timer for HTML Presentations, Documents, and Web
Apps
Estimation and Inference Methods for Counterfactual Analysis
Comprehensive Automatized Evaluation of Distribution Models for
Count Data
Discrete Response Regression for High-Dimensional Data
Penalized Estimation of Flexible Hidden Markov Models for Time
Series of Counts
Analysis of Biological Count Data, Especially from Single-Cell
RNA-Seq
Calculate Model-Based Metrics of Proportionality on Count-Based
Compositional Data
Flexible Univariate Count Models Based on Renewal Processes
Mean and Variance Modeling of Count Data
Splitting a Count Matrix into Independent Folds
Convert Counts to Fragments per Kilobase of Transcript per
Million (FPKM)
Transform Counts in RNA-Seq Data Analysis
Thomson Sampling for Zero-Inflated Count Outcomes
Packages and Functions for 'CourseKata' Courses
Local Polynomial Regression of State Dependent Covariates in
State-Space Models
Tests on Properties of Space-Time Covariance Functions
Brownian Motion Processes for 'nlme'-Models
Combine Partial Covariance / Relationship Matrices
Produce Forest Plots to Visualize Covariate Effects
Test for Equality of Covariance Matrices
Process Digital Cover Photography Images of Tree Crowns
Load and Analyze Live Data from the COVID-19 Pandemic
Selected 'Drugbank' Drugs for COVID-19 Treatment Related Data in
R Format
Pulling Clean Data from Covid19india.org
The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Italy Dataset
The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data in Sri
Lanka
COVID-19 Cases in Switzerland and Principality of Liechtenstein
Client for Delphi's 'COVIDcast Epidata' API
Downloading, Reading and Analyzing PNAD COVID19 Microdata
Mutation Analysis Toolkit for COVID-19 (Coronavirus Disease
2019)
Descarga y analiza datos de COVID-19 en México
Estimate the Unit-Wide Probability of COVID-19
Covariance Estimation for Matrix Data with the Kronecker-Core
Decomposition
Covariance Regression with Random Forests
Robust Covariance Estimation via Nearest Neighbor Cleaning
Tests for Determining if the Covariance Structure of
2-Dimensional Data is Separable
VITA, IG and PLSIM Simulation for Given Covariance and Marginals
Statistical Tools for Covariance Analysis
Performs Segmented Linear Regression on Two Independent
Variables
Streamlined Plot Theme and Plot Annotations for 'ggplot2'
Messages, Warnings, Strings with Ascii Animals
Doubly Robust Inference for Cox Marginal Structural Model with
Informative Censoring
Bias-Corrected Sandwich Variance Estimators for Marginal Cox
Analysis of Cluster Randomized Trials
Duration-Based Quantities of Interest for the Cox Proportional
Hazards Model
Cox Regression with Dependent Error in Covariates
Variable Selection for Cox's Model with Interval-Censored Data
Cox Regression with Firth's Penalized Likelihood
Time-to-Event Data Analysis with Missing Survival Times
Stochastic Gradient Descent log-Likelihood Estimation in Cox
Proportional Hazards Model
Cox Regression (Proportional Hazards Model) with Multiple Causes
and Mixed Effects
R-Squared Measure Based on Partial LR Statistic, for the Cox PH
Regression Model
Fit Robustly Proportional Hazards Regression Model
Cox Proportional Hazards Regression for Right-Truncated Data
Confirmatory Path Analysis Through 'd-sep' Tests
Bayesian Meta Analysis for Studying Cross-Phenotype Genetic
Associations
The Closure Principle Computational Approach Test
Efficient and Customized Preconditioned Conjugate Gradient
Method for Solving System of Linear Equations
Concordance Probability Estimates in Survival Analysis
Classification with Parallel Factor Analysis
Association Between Methylation and a Phenotype of Interest
CpG Filtering Method Based on Intra-Class Correlation
Coefficients
Sequential and Batch Change Detection Using Parametric and
Nonparametric Methods
Fitting Semiparametric Cumulative Probability Models for Big
Data
Correction of the P-Value after Multiple Coding in Generalized
Linear Models
Calculation of Log2 Counts per Million Cutoff from ERCC Controls
Conceptual Properties Norming Studies as Parameter Estimation
Detection of Multiple Changes in Slope in Univariate Time-Series
Composition of Probabilistic Preferences (CPP)
Check 'C' and 'C++' Files using 'Cppcheck'
'C++' Standard Template Library Containers
Fast Relative Comparisons of Floating Point Numbers in 'C++'
Algorithms for Routing and Solving the Traffic Assignment
Problem
Conditional Probit Model for Analysing Continuous Outcomes
Functions for Working with Danish CPR Numbers
Constructs a Correlated Pseudo-Marginal Sampler
Load CPS Microdata into R Using the 'Census Bureau Data' API
Change-Point Detection by Sample-Splitting Methods
Nonparametric Change Point Estimation for Survival Data
Simulating Survival Data from Change-Point Hazard Distributions
A Toolbox for Using the CPS’s Voting and Registration Supplement
Nonparametric Change Point Detection for Multivariate Time
Series
Quantile, Composite Quantile Regression and Regularized Versions
Conditional Maximum Likelihood for Quadratic Exponential Models
for Binary Panel Data
Compute Cluster Robust Standard Errors with Degrees of Freedom
Adjustments
Congruent Rate Analyses in Birth-Death Scenarios
Multivariate Nonparametric Cramer-Test for the
Two-Sample-Problem
Network Analysis of Dependencies of CRAN Packages
Download Logs from the 'RStudio' 'CRAN' Mirror
Package Directives and Collaboration Networks in CRAN
RStudio Addin for Searching Packages in CRAN Database Based on
Keywords
Conditional Random Sampling Sparse Matrices
Fit Continuous-Time Correlated Random Walk Models to Animal
Movement Data
Cyclic Redundancy Check with CPU-Specific Acceleration
Censored Regression with Conditional Heteroscedasticity
Univariate Analysis of Cluster Trials with Multiple Outcomes
Interpretable Discovery and Inference of Heterogeneous Treatment
Effects
Clustering of Genomic Regions Analysis Method
Create Logical Pairwise Comparison Matrix for the Analytic
Hierarchy Process
Tools for Managing SSH and Git Credentials
Toolkit for Credit Modeling, Analysis and Visualization
Evaluation of Credit Risk with Structural and Reduced Form
Models
Calibrated Ratio Estimator under Double Sampling Design
Crew Launcher Plugins for Traditional High-Performance Computing
Clusters
Conditional Random Fields for Labelling Sequential Data in
Natural Language Processing
Analyze Cricketers and Cricket Teams Based on ESPN Cricinfo
Statsguru
Group-Based Modelling of Longitudinal Data
Access Crime Data from the Open Crime Database
A Comprehensive Set of Functions to Clean, Analyze, and Present
Crime Data
Fits a Model that Partitions the Covariate Space into Blocks in
a Data- Adaptive Way
Modeling Fissile Material Operations in Nuclear Facilities
An Implementation of the Critical Path Method
Setting the Critical Path in Project Management
Continual Reassessment Method (CRM) for Phase I Clinical Trials
Phase I/II CRM Based Drug Combination Design
Cell Ranger Output Filtering and Metrics Visualization
CCMN and Other Normalization Methods for Metabolomics Data
Object-Oriented Implementation of CRM Designs
Cellwise Robust M-Regression and SPADIMO
Implementation Helper for '[' and '[<-' of Custom Matrix-Like
Types
A Dashboard to Visualize Scientific Workflows in 'Cromwell'
Create an HTML Vertical Timeline from a Data Frame in
'rmarkdown' and 'shiny'
Schedule R Scripts and Processes with the 'cron' Job Scheduler
Open Data of Agricultural Production of Crops of Peru
Crop Growing Degree Days and Agrometeorological Calculations
Changepoints for a Range of Penalties (CROPS)
Access Cropland Data Layer Data via the 'CropScape' Web Service
Climate Water Balance for Irrigation Purposes
Climate Crop Zoning Based in Air Temperature for Brazil
Analysis of Data from a Crossover Design with GEE
Local Haplotype Clustering and Visualization
Perform Linear or Nonlinear Cross Lag Analysis
Apply Functions to All Combinations of List Elements
Cross-Design & Cross-Format Network Meta-Analysis and Regression
Analysis and Search of Crossover Designs
Joint Distribution of Number of Crossings and Longest Run
Cross Tabulation and Loglinear Analyses of Categorical Data
Inter-Widget Interactivity for HTML Widgets
Analysis of Graph-Structured Data with a Focus on
Protein-Protein Interaction Networks
Cross-Fitting for Doubly Robust Evaluation of High-Dimensional
Surrogate Markers
Verbal Autopsy Data Transformation for InSilicoVA and InterVA5
Algorithms
Classes and Methods for Cross Validation of "Class Prediction"
Algorithms
Rename and Encode Data Frames Using External Crosswalk Files
Constrained Regression Model for an Ordinal Response and Ordinal
Predictors
Unidimensional and Multidimensional Methods for Recurrence
Quantification Analysis
Bias-Corrected Variance for Competing Risks Regression with
Clustered Data
Competing Risks Regression for Stratified and Clustered Data
Stepwise Covariate Selection for the Fine & Gray Competing Risks
Regression Model
A Robust and Powerful Test of Abnormal Stock Returns in
Long-Horizon Event Studies
Nonlinear Regression Parameters Estimation by 'CRS4HC' and
'CRS4HCe'
Tidying and Analyzing 'Coursera' Research Export Data
Obtain Suggested Coordinate Reference System Information for
Spatial Data
Designing Cluster-Randomized Trials with Two Co-Primary Outcomes
Conditional Randomization Testing (CRT) Approach for Conjoint
Analysis
Doubly Robust Inverse Probability Weighted Augmented GEE
Estimator
Sample Size Estimation Functions for Cluster Randomized Trials
Workflow for Cluster Randomised Trials with Spillover
Flexible and General Mediation Analysis Using Riesz Representers
Interface to Climatic Research Unit Time-Series Version 3.21
Data
Cluster Robust Wild Bootstrap Meta Regression
Changing the Reference Group without Re-Running the Model
Download Crypto Currency Data from 'CoinMarketCap' without 'API'
Open Access to Cryptocurrency Market Data, Sentiment Indicators
and Interactive Charts
Access System Cryptographic Pseudorandom Number Generators
Visualization and Analytics for the Cryptoverse
Statistical Tests for Cryptographic Randomness
Calculate the Relative Crystallinity of Starch by XRD and FTIR
A Cross-Scale Analysis Tool for Model-Observation Visualization
and Integration
Alerts from Public Health Surveillance Data
Functions for Conditional Simulation in Regression-Scale Models
Fitting and Tuning Regularized Cause-Specific Cox Models with
Elastic-Net Penalty
Frequent Contiguous Sequential Pattern Mining of Text
CRISPR-Based Salmonella Enterica Serotype Analyzer
Collecting Counter Strike Global Offensive Data
Climate Services' Indicators Based on Sub-Seasonal to Decadal
Predictions
Preformatted Maps of Norway that Don't Need Geolibraries
Cost-Sensitive Multi-Criteria Ensemble Selection for Uncertain
Cost Conditions
Biomarker Confirmation, Selection, Modelling, Prediction, and
Validation
Complete Discrete Fourier Transform (DFT) and Periodogram
A Tool for the Correlates of State Policy Project Data
Data Only: The Correlates of State Policy Project Dataset
Concise Spatial Query and Representation System (c-Squares)
Selection of Number of Clusters via Normalized Clustering
Instability
Helpful Functions for Cleaning Surveillance Data
Date and Time Functions for Public Health Purposes
Assessing Skill of Climate Forecasts on Seasonal-to-Decadal
Timescales
Common Base-R Problems Relating to Lists
Read and Write CSV Files with Selected Conventions
Read and Write CSV on the Web (CSVW) Tables and Metadata
Import and Export CSV Data with a YAML Metadata Header
Contingency Table Analysis Based on ML Fitting of MPH Models
Interactive Application for Working with Contingency Tables
A Procedure to Clean, Decompose and Aggregate Timeseries
A Method for 'Connecting The Dots' in Weighted Graphs
Closed Testing with Globaltest for Pathway Analysis
A Text Mining Toolkit for Chinese Document
Estimating the Parameters of a Continuous-Time Markov Chain from
Discrete-Time Data
Modeling Animal Movement with Continuous-Time Discrete-Space
Markov Chains
Collaborative Targeted Maximum Likelihood Estimation
Finite Sample Correction of the Two One-Sided Tests in the
Univariate Framework
Censored and Truncated Quantile Regression
Retrieve and Analyze Clinical Trials in Public Registers
Query Data from U.S. National Library of Medicine's Clinical
Trials Database
Density Profiles of Wood from CT Scan Images
Assess the Stability of Candidate Housekeeping Genes
Continuous Time Structural Equation Modelling
Continuous Time SEM - 'OpenMx' Based Functions
Interactive Document for Working with Classification Tree
Analysis
Multivariate Normal Mean Monitoring Through Critical-to-X
Control Chart
Read and Write Standard C Types from Files, Connections and Raw
Vectors
A Class of Mixture Models for Ordinal Data
Adaptive Multivariate Integration over Hypercubes
A Vector Spatio-Temporal Data Structure for Data Analysis
Computation of a Cubic B-Spline Basis and Its Derivatives
Rule- And Instance-Based Regression Modeling
R Interface for the RAPIDS cuML Suite of Libraries
Charles's Utility Function using Formula
Tools, Measures and Statistical Tests for Cultural Evolution
Analyze Multivariate Phenotypes by Combining Univariate Results
Functions Centered Around Microsoft Excel Cumprinc Function
Change Point Detection in Genomic Sequences
Cumulative Calibration Assessment for Prediction Models
Cumulative Percent Decay Curve Generator
Mixture Cure Models with Auxiliary Subgroup Survival
Probabilities
Dependent Censoring Regression Models with Cure Fraction
Mixture and Non Mixture Parametric Cure Models to Estimate Cure
Indicators
Client for the 'currencyapi.com' Currency Conversion API
Exploring and Analyzing Academic Curricula
Apply Mapping Functions in Frequent Saving
Partial Function Application with %<%, %-<%, and %><%
Confidence Intervals for the Current Status Model
Finds Binary Outcome Designs Using Stochastic Curtailment
Multiple Curve Comparisons Using Parametric Bootstrap
Tukey Curve Depth and Distance in the Space of Curves
Cusp-Catastrophe Model Fitting Using Maximum Likelihood
Custom Made Gauss Quadrature Nodes and Weights
Pricing Various Types of Custom Derivatives
Evaluation Metrics for Customer Scoring Models Depending on
Binary Classifiers
Customized Training for Lasso and Elastic-Net Regularized
Generalized Linear Models
Costs Allocation for the Installation of an Elevator
Cumulative Sum (CUSUM) Charts for Monitoring of Hospital
Performance
Compute Decision Interval and Average Run Length for CUSUM
Charts
Determine and Evaluate Optimal Cutpoints in Binary
Classification Tasks
Optimal Equal-HR Method to Find Two Cutpoints for U-Shaped
Relationships in Cox Model
Compute Expected Shortfall and Value at Risk for Continuous
Distributions
Calibration, Validation, and Simulation of TKTD Models
Cross-Validated Area Under the ROC Curve Confidence Intervals
Efficient Design and Analysis of Cluster Randomized Trials
Wrapper for the 'CVD Prevent' Application Programming Interface
Tests for the Equality of Coefficients of Variation from
Multiple Groups
Lasso Penalized Precision Matrix Estimation
Cross-Validation for Linear & Ridge Regression Models
Cross-Validation Model Averaging for Partial Linear Functional
Additive Models
Cramer von Mises Tests for Discrete or Grouped Distributions
Cross-Validation for Multi-Population Mortality Models
Compute Risk Scores for Cardiovascular Diseases
SEM Model Comparison with K-Fold Cross-Validation
Fast Cross-Validation via Sequential Testing
Cross-Validation Tools for Regression Models
Cauchy Weighted Joint Test for Pharmacogenetics Analysis
Continuous Wavelet Transformation for Spectroscopy
A Toolbox for Modelling Species Coexistence in R
Extend 'cxxfunction' by Saving the Dynamic Shared Objects
Cycle Routing and Data for Cycling Advocacy
Tools for Calculating Hypocycloids, Epicycloids, Hypotrochoids,
and Epitrochoids
Survival Modeling with a Periodic Hazard Function
Cyclic Coordinate Descent for Logistic, Poisson and Survival
Analysis
Circular-Linear Copulas with Angular Symmetry for Movement Data
Query 'Team Cymru' 'IP' Address, Autonomous System Number
('ASN'), Border Gateway Protocol ('BGP'), Bogon and 'Malware'
Hash Data Services
Agent-Based Model for Taenia_solium Transmission and Control
Plot Fan Plots for Cytometry Data using 'ggplot2'
Automated Cytometry Gating and Annotation
Optimal Transport for Gating Transfer in Cytometry Data with
Domain Adaptation
Simplex Visualization of Cell Fate Similarity in Single-Cell
Data
Use Open Data from the Czech Statistical Office in R
Descriptive 3D Multidimensional Item Response Theory Modelling
Tools for creating D3 JavaScript network, tree, dendrogram, and
Sankey graphs from R
Interactive Charts of Nested and Hierarchical Data with 'D3.js'
Fast and Beautiful Interactive Visualization for 'Markdown' and
'Shiny'
Create Interactive Collapsible Trees with the JavaScript 'D3'
Library
Interface to 'D4Science' 'StorageHub' API
Discriminant Analysis for Evolutionary Inference
Data Analysis and Graphics Data and Functions
Data Sets and Functions, for Demonstrations with Expression
Arrays and Gene Sequences
Damped Anderson Acceleration with Epsilon Monotonicity for
Accelerating EM-Like Monotone Algorithms
Data Analysis using Bootstrap-Coupled Estimation
Detection and Attribution Analysis of Climate Change
Data Analysis with Ceiling and/or Floor Data
Three-Way / Multigroup Data Analysis Through Densities
Functions Useful in the Design and ANOVA of Experiments
Design and Analysis of Experiments with R
Download, Wrangle, and Analyse Vessel Monitoring System Data
Spatial Vector Data for Danmarks Administrative Geografiske
Inddeling DAGI
Graphical Analysis of Structural Causal Models
Directed Acyclic Graphs: Analysis and Data Simulation
DAGs with Omitted Objects Displayed (DAGWOOD)
Data Quality Reporting for Temporal Datasets
Interface with Google Cloud Document AI API
Dynamical Assembly of Islands by Speciation, Immigration and
Extinction
Extracts Phylogenetic Island Community Data from Phylogenetic
Trees
moDel Agnostic Language for Exploration and eXplanation
Nonparametric Double Additive Location-Scale Model (DALSM)
Leveraging Experiment Lines to Data Analytics
The DALY Calculator - Graphical User Interface for Probabilistic
DALY Calculation in R
Create an 'Area of Interest' Around a Constructed Dam for
Comparative Impact Evaluations
Dynamic Assembly Model of Colonization, Local Extinction and
Speciation
Interface to Drosophila Activity Monitor System Result Files
Dams in the United States from the National Inventory of Dams
(NID)
Dandelion Plot for R-Mode Exploratory Factor Analysis
Design and Analysis of Non-Inferiority Trials
Functions for Wayne W. Daniel's Biostatistics, Tenth Edition
Discriminant Adaptive Nearest Neighbor Classification
R Client for the Statistics Denmark Databank API
Data Augmentation for Private Posterior Estimation
Data Quality Assessment for Process-Oriented Data
Differential Analysis with Random Reference Genes
Estimating Dark Diversity and Site-Specific Species Pools
Importing and Analysing 'SNP' and 'Silicodart' Data Generated by
Genome-Wide Restriction Fragment Analysis
Analysing 'SNP' and 'Silicodart' Data - Basic Functions
Analysing 'SNP' Data to Support Captive Breeding
Auxiliary Data Package for Our Main Package 'dartR'
Analysing 'SNP' and 'Silicodart' Data Generated by Genome-Wide
Restriction Fragment Analysis
Analysing SNP Data to Identify Sex-Linked Markers
Applying Landscape Genomic Methods on 'SNP' and 'Silicodart'
Data
Install and Load the 'dartRverse' Suits of Packages
Customise the Appearance of 'shinydashboard' Applications using
Themes
Tools for Reading, Processing and Writing 'DSSAT' Files
Analyze Multi-Threading Performance for 'data.table' Functions
General Purpose Hierarchical Data Structure
Wrapper for 'TCdata360' and 'Govdata360' API
Connecting to Various Database Platforms
JAR Dependencies for the 'DatabaseConnector' Package
Swarm Intelligence for Self-Organized Clustering
Easily Create Structured Lists or Data Frames with Input
Validation
Interactive and Reproducible Data Cleaning
Tools for Easily Combining and Cleaning Data Sets
A 'shiny' App to Compare Two Data Frames
Compare Two Data Frames and Summarise the Difference
Concept Drift Detection Methods for Stream Data
An Interactive Editor for Viewing, Entering, Filtering & Editing
Data
Generate Fake Data for Relational Databases
Familiarity with Dataframes Before Data Manipulation
Estimating Finite State Machine Models from Data
A Suite of Checks for Identification of Potential Errors in a
Data Frame as Part of the Data Screening Process
Create and Append a Data Dictionary for an R Dataset
Modules to Import and Manipulate Data in 'Shiny'
Datasets and Functions to Accompany Analisis De Datos Con R
Easily Source Publicly Available Data on Derivatives
A Flexible Container to Transport and Manipulate Data and
Associated Resources
Construct Reproducible Analytic Data Sets as R Packages
Efficient and Flexible Data Preprocessing Tools
Data Quality in Epidemiological Research
Reproducible Data Screening Checks and Report of Possible Errors
C3S Quality Control Tools for Historical Climate Data
Retrieval Functions for USGS and EPA Hydrology and Water Quality
Data
Data Bank for Statistical Analysis and Visualization
Row by Row Data Processing Tool, Using 'DataSailr' Script
Graphical Interface for Loading Datasets
Datasets from the Book "An Introduction to Clustering with R"
Create Lightweight Schema.org Descriptions of Data
An Implementation of a SAS-Style Data Step
Provides a Link Between the 'LSEG Datastream' System and R
The Research Data Warehouse of Miguel de Carvalho
Comprehensive Data Summarization for Statistical Analysis
A Lightweight, Flexible, and Fast Data Validation Package that
Can Handle All Sizes of Data
Data Visualisation Using an HTML Page and 'D3.js'
Easy Data Wrangling and Statistical Transformations
Simplify Access to Data from the Amazon Region
Collect and Install R Packages on a Specified Date with
Dependencies
Standardize Dates in Different Formats or with Missing Data
Datetimes with Optional UTC Offsets and/or Heterogeneous Time
Zones
A Datetime Range Picker Widget for Usage in 'Shiny' Applications
Modify Dates to ISO Standard ("International Organization for
Standardization")
Traduce al Español Varios Conjuntos de Datos de Práctica
Preparation of Object Dating Ranges for Density Plots (Aoristic
Analysis)
Compact Standard for Australian Phone Numbers
Discriminant Analysis with Additional Information
An API Wrapper for 'DAWA' - 'The Danish Address Web API'
Calculating Days' Supply and Daily Dose of Prescriptions
Autocovariance Estimation via Difference-Based Methods
Discrete Bayesian Additive Regression Trees Sampler
Detecting Breakpoints and Estimating Segments in Trend
A Double Bootstrap Method for Analyzing Linear Models with
Autoregressive Errors
Read and Write Files to SQLite Databases
Generalised Linear Models by Subsampling and One-Step Polishing
Sequence Clustering with Discrete-Output HMMs
'DBHYDRO' Hydrologic and Water Quality Data
Compute the NPMLE of Distribution Function from Doubly Censored
Data, Plus the Empirical Likelihood Ratio for F(T)
Deterministic Blockmodeling of Signed, One-Mode and Two-Mode
Networks
Confidence Interval for Matrix Completion via De-Biased
Estimator
Distance-Based Measures of Spatial Structures
Dynamic Bayesian Network Structure Learning, Parameter Learning
and Forecasting
Rank Selection for Non-Negative Matrix Factorization
Dynamic Bayesian Network Learning and Inference
Simplifies Plotting Data Inside Databases
Finite Sample Power Calculations for Detection Boundary Tests
Density-Based Spatial Clustering of Applications with Noise
(DBSCAN) and Related Algorithms
Dada-BLAST-Taxon Assign-Condense Metabarcode Analysis 'shiny'
Application
Doubly Robust Distribution Balancing Weighting Estimation
Produce R Functions to Create HTML Forms Based on SQL Meta Data
Inferring Condition-Specific Networks via Differential Network
Inference
Detrended Fluctuation and Detrended Cross-Correlation Analysis
Analyzing Dichotomous Choice Contingent Valuation Data
DCC Models with GARCH and GARCH-MIDAS Specifications in the
Univariate Step, RiskMetrics, Moving Covariance and Scalar and
Diagonal BEKK Models
Fast Computation of Distance Correlations
Clustering Big Data using Expectation Maximization Star (EM*)
Algorithm
Efficient and Accessible Discrete Choice Experiments
Data Cloud Geometry (DCG): Using Random Walks to Find Community
Structure in Social Network Analysis
Genetic Relatedness Between Polyclonal Infections
Claims Reserving under the Double Chain Ladder Model
Distance Based Cell Lineage Reconstruction
Data Cloning and MCMC Tools for Maximum Likelihood Methods
Functions for the Detection of Spatial Clusters of Diseases
Model-Based Detection of Disease Clusters
Calculating the M2 Model Fit Statistic for Diagnostic
Classification Models
Hierarchical Models Made Easy with Data Cloning
Modify Data Using Externally Defined Modification Rules
List Linear n-Peptide Constraints for Overlapping Protein
Regions
Providing Fast and Flexible Functions for Distance Correlation
Analysis
Variable Selection Algorithms Using the Distance Correlation
A Fast Implementation of Distance Covariance
Distance Covariance and Correlation for Time Series Analysis
Nonparametric Regression and Bandwidth Selection for Spatial
Models
Decision Curve Analysis for Model Evaluation
Depth-Based Classification and Calculation of Data Depth
Variance Stabilization by Data-Driven Haar-Fisz (for
Microarrays)
The Data Defect Index for Samples that May not be IID
Distance & Density-Based Outlier Detection
Diagonally Dominant Principal Component Analysis
Analysis and Visualization of Droplet Digital PCR in R and on
the Web
Data Sets for Discrete Probability Models
Disease-Drived Differential Proteins Co-Expression Network
Analysis
Data-Driven Sparse Partial Least Squares
Latent Class Analysis with Dirichlet Diffusion Tree Process
Prior
Learning Bayesian Networks with Mixed Variables
Conventional and Fuzzy Data Envelopment Analysis
A Post-Clustering Denoiser for COI-5P Barcode Data
Duration Estimation for Biomarker Enrichment Studies and Trials
Efficient Inference on High-Dimensional Linear Model with
Missing Outcomes
Bifurcation Analysis of Ordinary Differential Equation Systems
Bayesian Inference for Differential Equations
Analysis of Non-Decimal Currencies and Double-Entry Bookkeeping
Box-Plots and Outlier Detection for Probability Density
Functions
Debug Tool to Watch Objects/Expressions While Running an R
Script
Detecting Changes in Autocorrelated and Fluctuating Signals
DEComposition of Indirect and Direct Effects
Bindings for 'Mapbox' Ear Cutting Triangulation Library
Quantitative Support of Decision Making under Uncertainty
Differential Co-Expression and Differential Expression Analysis
Decode Coded Variables to Plain Text and the Other Way Around
Decomposition Based Deep Learning Models for Time Series
Forecasting
Time Series Prediction with PSF and Decomposition Methods (EMD
and EEMD)
Empirical Mode Decomposition for Cyclostratigraphy
Extend the Behaviour of a Function without Explicitly Modifying
it
Deductive Correction, Deductive Imputation, and Deterministic
Correction
Data Correction and Imputation Using Deductive Methods
Visualise and Explore the Deep Dependencies of R Packages
Bayesian Deep Gaussian Processes using MCMC
Causal Inference with Super Learner and Deep Neural Networks
Interface to the 'DeepL' Translation API
Clustering of Short Texts by Mixture of Unigrams and Its Deep
Extensions
Seamless Language Translation in 'RStudio' using 'DeepL' API and
'Rstudioapi'
Plotting Tools for Anyone Working in Deep Time
Geologic Pattern Data from FGDC Used in 'deeptime'
Fitting Deep Conditional Transformation Models
Density Estimation by Extreme Value Distributions
Change the Default Arguments in R Functions
Fitting Differential Equations to Time Series Data
Deferred List - A Read-Only List-Like Object with Deferred
Access
Classify RGB Images into Forest or Non-Forest
Spatial Deformation and Dimension Expansion Gaussian Processes
Integration of One-Dimensional Functions with Double Exponential
Formulas
Inferring Differentially Expressed Genes using Generalized
Linear Mixed Models
Models for Skewed Count Distributions Relevant to Networks
Density Estimation from GROuped Summary Statistics
Differentially Expressed Heterogeneous Overdispersion Gene Test
for Count Data
Multiple Imputation for Recurrent Events
Statistical Functions for the Delaporte Distribution
A Framework for Parallelizing Dependent Tasks
Sample Size and Power Calculations using the APPLE, SEPPLE,
APPLE+ and SEPPLE+ Methods
Delaunay Triangulation and Dirichlet (Voronoi) Tessellation
Quantify Rhythmic Gene Co-Expression Relative to a Reference
Delta Measurement of Agreement for Nominal Data
Identification of Dichotomous Differential Item Functioning
(DIF) using Angoff's Delta Plot Method
Kernel Density Estimation using Lifetime Distributions
The Distributed EM Algorithms in Multivariate Gaussian Mixture
Models
Decision Making Trial and Evaluation Laboratory Technique in R
Dynamic Estimator of Microbial Communities
Deming, Theil-Sen, Passing-Bablock and Total Least Squares
Regression
Simulating Differential Equations with Data
Analysis of Age-Structured Demographic Models
Extrapolate Gender, Age and Nationality of a Name
Providing Demographic Table with the P-Value, Standardized Mean
Difference Value
Forecasting Mortality, Fertility, Migration and Population Data
Kernel Density Estimation for Demonstration Purposes
Runs a 'Shiny' App as Demo or Lists All Demo 'Shiny' Apps
DEvelopment (of Multi-Linear QSPR/QSAR) MOdels VAlidated using
Test Set
Optimal Design Emulators via Point Processes
Extending 'dendrogram' Functionality in R
A Tool for Processing and Analyzing Dendrometer Data
Extra Functions to Cut, Label and Colour Dendrogram Clusters
Forest Estimations and Dendrometric Computations
Create Networks of Dendrochronological Series using Pairwise
Similarity
A Set of Tools for Calculating Spatial Synchrony Between
Tree-Ring Chronologies
Linear and Nonlinear Methods for Analyzing Daily and Monthly
Dendroclimatological Data
Dendrogram Seriation: Ordering for Visualisation
Modular Leaf Ordering Methods for Dendrogram Nodes
A Tidy Format Datasets of Dengue by Country
Generate and Simulate Deterministic Discrete-Time Compartmental
Models
Differential Expression Analysis Using a Bottom-Up Model
Statistical Analyses of De Novo Genetic Variants
Functional Linear Mixed Models for Densely Sampled Data
Density Estimation via Bayesian Inference Engines
Analysing Density Profiles from Resistance Drilling of Trees
Polygons of Bivariate Density Distributions
Clustering by Fast Search and Find of Density Peaks
Dens-Based Method for Partial Correlation Estimation in Large
Scale Brain Networks
Density Strips and Other Methods for Compactly Illustrating
Distributions
Simple Dengue Test and Vaccinate Cost Thresholds
Global Optimization by Differential Evolution
Differential Evolution Optimization in Pure R
Cache R Expressions, Taking Their Dependencies into Account
Statistical Methods for Survival Data with Dependent Censoring
Statistical Methods for the Analysis of Dependently Truncated
Data
A Utility Package to Help you Deal with "Pignas"
Deconvolute Mixed Genomes with Unknown Proportions
Dependent Mixture Models - Hidden Markov Models of GLMs and
Other Distributions in S4
Read, Plot and Analyse Output from the DEPONS Model
Dependency Management with 'roxygen'-Style Comments
Statistical Depth Functions for Multivariate Analysis
Functions and R Code to Accompany Derivatives Markets
Seasonal Adjustment by Frequency Analysis
An Interface to the 'DescribeDisplay' 'GGobi' Plugin
Describe Data in R Using Common Descriptive Statistics
Descriptive Representation Calculator: Characterizing Observed
and Expected Representation
Publication Quality Descriptive Statistics Tables
Produce Descriptive and Comparative Tables Easily
Interactive Functions to be Used as Shortcuts in 'RStudio'
Data-Driven Locally Weighted Regression for Trend and
Seasonality in TS
Design Clinical Trials with Potential Biomarker Effect
Blocking and Randomization for Experimental Design
Matched Samples that are Balanced and Representative by Design
Sample Size Calculation of Various Study Designs
Desirability Functions for Ranking, Selecting, and Integrating
Data
Function Optimization and Ranking via Desirability Functions
Desirability Functions for Multiparameter Optimization
Desparsified Lasso Inference for Time Series
Solvers for Initial Value Problems of Differential Equations
('ODE', 'DAE', 'DDE')
Motivational Quotes and Shakespearean Bard–bits for Personal
Projects
Plotting Field Plans for Agricultural Experiments
Create Details HTML Tag for Markdown and Package Documentation
Analyzing Wildlife Data with Detection Error
Detect Nonnormality in Meta-Analysis without Raw Data
Detect Data Containing Personally Identifiable Information
Detect Runs of Homozygosity and Runs of Heterozygosity in
Diploid Genomes
Detect and Check for Separation and Infinite Maximum Likelihood
Estimates
Life Insurance Premium and Reserves Valuation
Implementation of the DetMCD Algorithm (Robust and Deterministic
Estimation of Location and Scatter)
Density Estimation and Random Number Generation with
Distribution Element Trees
Suite of Deterministic and Robust Algorithms for Linear
Regression
A Graphical User Interface (GUI) to Visualize and Analyze
Dendrochronological Data
Clear and Condense Argument Check for User-Defined Functions
Data sets from Devore's "Prob and Stat for Eng (7th ed)"
Quantify the Relationship Between Development Rate and
Temperature in Ectotherms
Tools to Make Developing R Packages Easier
Develop Treatment Rules with Observational Data
'DEXi' Decision Tree Analysis and Visualization
CML and Bayesian Calibration of Multistage Tests
Linear Discriminant Function and Canonical Correlation Analysis
Degrees of Freedom Adjustment for Robust Standard Errors
Phase I/II Adaptive Dose-Finding Design for Combination Studies
Compare Two Dataframes and Return Adds, Changes, and Deletes
Dose-Finding by the Continual Reassessment Method
Extract Drugs from Differential Expression Data from LINCS
Database
Automatic Differentiation of Simple Functions
Automatically Expand Delimited Column Values into Multiple
Binary Columns with 'dfexpand'
Differential Functioning of Items and Tests
Meta-Analysis of Phase I Dose-Finding Early Clinical Trials
Simulate a Data Frame Mirroring an Input and Produce Shareable
Simulation Code
Phase I/II Adaptive Dose-Finding Design for MTA
Detection and Analysis of Insect Defoliation Signals in Tree
Rings
Extrapolation and Bridging of Adult Information in Early Phase
Dose-Finding Paediatrics Studies
Phase I Control Charts (with Emphasis on Distribution-Free
Methods)
Accelerated Derivative-Free Method for Large-Scale Nonlinear
Systems of Equations
Diewert and Fox's Method of Value Added Growth Decomposition
Capture-Recapture Estimation using Bayesian Model Averaging
Genetic Algorithm with Incomplete Dominance for Feature
Selection
Differential Gene Expression Analysis with R
Differential Gene Expression (DGE) Analysis Results Data Object
Differential Gene Expression (DGE) Analysis Utility Toolkit
Differential Geometric Least Angle Regression
Double Generalized Linear Models Extending Poisson Regression
Dependent Gaussian Processes for Longitudinal Correlated Factors
Interface to 'dgpsi' for Deep and Linked Gaussian Process
Emulations
The Gumbel Distribution Functions and Gradients
Residual Diagnostics for Hierarchical (Multi-Level / Mixed)
Regression Models
Double Hierarchical Generalized Linear Models
Reproductive Age Female Data of Various Demographic Health
Surveys
Independence Testing via Hilbert Schmidt Independence Criterion
Diagnostic Plot and Multivariate Summary Statistics of Weighted
Samples from Importance Sampling
Routines for Fit, Inference and Diagnostics in Linear L1 and LAD
Models
Meta-Analysis of Diagnostic Accuracy Studies with Several
Cutpoints
Block Diagonal Extraction or Replacement
Functions for Visualising Simple Graphs (Networks), Plotting
Flow Diagrams
Export DiagrammeR Graphviz Graphs as SVG
Parse, Format, and Validate International Phone Numbers
Required 'libphonenumber' jars for the 'dialr' Package
Tools for Creating Tuning Parameter Values
Calculate Ecological Information and Diatom Based Indices
Calculate probabilities of various dice-rolling events
Construction and Evaluation of Metamodels
Kriging Methods for Computer Experiments
Directness and Intensity of Conflict Expression
Kriging-Based Optimization for Computer Experiments
High Dimensional Categorical Data Visualization
Methods for Visualization of Computer Experiments Design and
Surrogate
Finding Patterns of Monotonicity and Convexity in Data
R6 Based Key-Value Dictionary Implementation
Retrieve the Dictionary Definitions of English Words
Treatment Effects with Multiple Periods and Groups
Two-Stage Difference-in-Differences Following Gardner (2021)
A Simple Implementation and Demonstration of Gradient Boosting
A Big Data Implementation of Difference-in-Differences
Estimation with Staggered Treatment
Difference-in-Differences in Heterogeneous Adoption Designs with
Quasi Stayers
Imputation Estimator from Borusyak, Jaravel, and Spiess (2021)
Estimators DID with Multiple Groups and Periods
Estimation in Difference-in-Difference Designs with Multiple
Groups and Periods
Compute Recency Frequency Monetary Scores for your Customer Data
Diagnostic Index Expectation Maximisation in R
R Interface to the ZEIT ONLINE Content API
Detection of Differential Item Functioning (DIF) in Rasch Models
by Boosting Techniques
Fisher's z-Tests Concerning Differences Between Correlations
Analyzing and Visualizing Differential Correlation Networks in
Biological Data
Compute the Difference Between Data Frames
Fast and Scalable Learning of Sparse Changes in High-Dimensional
Gaussian Graphical Model Structure
Given a List of Gene Symbols, Performs Differential Enrichment
Analysis
Solving Differential Equations (ODEs, SDEs, DDEs, DAEs)
Metrics of Difference for Comparing Pairs of Maps or Pairs of
Variables
Computation of TES-Based Cell Differentiation Trees
Diffusion IRT Models for Response and Response Time Data
Identifying Significant Node Scores using Network Diffusion
Algorithm
Display Differences Between Two Files using Codediff Library
Pattern Analysis Across Contingency Tables
A Penalty Approach to Differential Item Functioning in Rasch
Models
Dynamic ICAR Spatiotemporal Factor Models
DIF and DDF Detection by Non-Linear Regression Models
Multilevel Mantel-Haenszel Statistics for Differential Item
Functioning Detection
Collection of Methods to Detect Dichotomous Differential Item
Functioning (DIF)
Differential Item Functioning via Shiny Application
Item Focussed Trees for the Identification of Items in
Differential Item Functioning
Create Compact Hash Digests of R Objects
Tests for Detecting Irregular Digit Patterns
Determination of Intervals Using Georeferenced Survey Simulation
Reconstruct Paleoclimate and Paleoecology with Leaf Physiognomy
Differential Identification using Mixture Ensemble
Gathering Bibliographic Records from 'Digital Science
Dimensions' Using 'DSL' API
Fit Multivariate Diversity-Interactions Models with Repeated
Measures
Visualising and Interpreting Statistical Models Fit to
Compositional Data
A Framework for Dimensionality Reduction
A Method to Analyze Recurrent DNA Copy Number Aberrations in
Tumors
Finding Recurrent DNA Copy Number Alterations and Differences
A Toolkit for Year-Quarter, Year-Month and Year-Isoweek Dates
Differential Pattern Analysis via Linear Modeling
Robust Tests for Differential Dispersion and Differential
Expression in RNA-Sequencing Data
Depth Importance in Precision Medicine (DIPM) Method
Directional Penalties for Optimal Matching in Observational
Studies
A Dipping Sauce for Data Analysis and Visualizations
Hartigan's Dip Test Statistic for Unimodality - Corrected
Debiased Inverse Propensity Score Weighting
Linear Regressions with a Latent Outcome Variable
Bayesian Clustering of Multivariate Data Under the
Dirichlet-Process Prior
Estimating Controlled Direct Effects for Explaining Causal
Findings
A Collection of Functions for Directional Data Analysis
Creates an Interactive Tree Structure of a Directory
Direction Analysis for Pathways and Kinases
Adjusted Means and Proportions by Direct Standardisation
Build Dirichlet Process Objects for Bayesian Modelling
Nonparametric Methods for Directional Data
Distributional Regression for Time to Event Data
Two-Steps Benchmarks for Time Series Disaggregation
Wrapper for the UN OCHA ReliefWeb Disaster Events API
Bayesian Multi-State Modelling of Chronic Disease Burden Data
Linear and Non-Linear AUC for Discounting Data
A User-Friendly Pipeline for Biomarker Discovery in Single-Cell
Transcriptomics
Cox Models for Time-to-Event Data with Nonparametric Discrete
Group-Specific Frailties
Discrete Laplace Mixture Inference using the EM Algorithm
Mixtures of Discrete Laplace Distributions using Numerical
Optimisation
Text Conversion from Nexis Uni PDFs to R Data Frames
Test for Discretized Normality in Ordinal Data
Functions for Discordant Kinship Modeling
Analyze Group Patterns using Graph Theory in Educational
Settings
Checks Title, Abstract and Keywords to Optimise Discoverability
Example Data Sets for Use with Discrete Statistical Tests
FDR Based Multiple Testing Procedures with Adaptation for
Discrete Tests
Simulated Goodness-of-Fit Tests for Discrete Distributions
An Extension of the Gap Statistic for Ordinal/Categorical Data
Improved q-Values for Discrete Uniform and Homogeneous Tests
Vectorised Computation of P-Values and Their Supports for
Several Discrete Statistical Tests
Discrete Weibull Distributions (Type 1 and 3)
Data Preprocessing, Discretization for Classification
Model Wrappers for Discriminant Analysis
A Companion Package for the Book "Discrete Choice Analysis with
'R'"
Measuring Discursive Sophistication in Open-Ended Survey
Responses
Data for Comparing Species Distribution Modeling Methods
Modelling Spatial Variation in Disease Risk for Areal Data
Feature Stores for the 'diseasy' Framework
Estimate the Gene Expression Levels and Component Proportions of
the Normal, Stroma (Immune) and Tumor Components of Bulk Tumor
Samples
Calculate Dissimilarity Matrix for Dataset with Mixed Attributes
Calculates Disproportionate Impact When Binary Success Data are
Disaggregated by Subgroups
Larger-than-RAM Disk-Based Data Manipulation Framework
Disparity Filter Algorithm for Weighted Networks
Simulation of Demic Diffusion with Environmental Constraints
Create Disposable R Packages for Testing
Analysis of Disposition Effect on Financial Portfolios
Multiple Assemblage Dissimilarity for Orders q = 0-N
Spatial Downscaling using the Dissever Algorithm
Fitting Sample Selection Models for Discrete Response Variables
Distance Sampling Detection Function and Abundance Estimation
Assessing Dissimilarity Between Multivariate Time Series
DiSTATIS Three Way Metric Multidimensional Scaling
Computations over Distributed Data without Aggregation
Distributional Method for the Dichotomisation of Continuous
Outcomes
Distribution-Free Goodness-of-Fit Testing for Regression
Reconstruct a Distribution from a Collection of Quantiles
'R Markdown' Format for Scientific and Technical Writing
Method Functions for Confidence Intervals and to Distill
Information from an Object
Model Distillation and Interpretability Methods for Machine
Learning Models
Unified Interface to Distance, Dissimilarity, Similarity
Matrices
Usual Operations for Distance Matrices in R
A Graphical User Interface for Plotting Common Univariate
Distributions
Object Oriented Implementation of Distributions
Documentation for 'distr' Family of R Packages
Framework for the Visualization of Distributional Regression
Models
S4 Classes for Elliptically Contoured Distributions
Four Essential Functions for Statistical Distributions Analysis:
A New Functional Approach
Powerful Goodness-of-Fit Tests Based on the Likelihood Ratio
Object Oriented Implementation of Probability Models
Estimate and Manage Empirical Distributions
Distribution Classes for Distributions from Rmetrics
Simulation Classes Based on Package 'distr'
Extensions of Package 'distr' for Teaching
Stochastics/Statistics in Secondary School
Estimation and Testing Classes Based on Package 'distr'
A Collection of Full Defined Distribution Tails
A Test Environment for Database Requests
Report on Diversity and Inclusion in a Corporate Setting
Diversity Dynamics using Fossil Sampling Data
Entropy Partitioning to Measure Diversity
Easily Install and Load Interactive Data Visualization Tools
Evolutionary Trait Divergence Between Sister Species and Other
Paired Lineages
Econometric Tools to Measure Portfolio Diversification
Comparative 'Phylogenetic' Analyses of Diversification
Innovative Complex Split Procedures in Random Forests Through
Candidate Split Sampling
Tools for Analysis of Diversity and Similarity in Biological
Systems
Diversity Metrics Calculations for Rasterized Data
Calculate Diversity and Segregation Indices
Spatial Subsampling of Biodiversity Occurrence Data
Nearest Neighbour Contingency Table Analysis
Dixon's Ratio Test for Outlier Detection
Record Linkage and Epidemiological Case Definitions in 'R'
Lightweight Utilities for 'DIZ' R Package Development
Utilities for 'DIZ' R Package Development
Distance Measure Based Judgment and Learning
Time Series Regression Models with Distributed Lag Models
Implementation of Adaptive or Non-Adaptive Differentiable Lasso
and SCAD Penalties in Linear Models
Use Dirichlet Laplace Prior to Solve Linear Regression Problem
and Do Variable Selection
Distributed Loading Estimation for General Factor Model
Bayesian and Likelihood Analysis of Dynamic Linear Models
Tools for Data Diagnosis, Exploration, Transformation
Distributed-Lag Linear Structural Equation Models
Model Based Clustering of Binary Dissimilarity Measurements
Diffusion Model of Conflict (DMC) in Reaction Time Tasks
Computational Tools for Meta-Analysis of Diagnostic Accuracy
Test
Daily Based Morgan-Morgan-Finney (DMMF) Soil Erosion Model
Dynamic Modeling and Parameter Estimation in ODE Models
DiST - Diffusion Direction Smoothing and Tracking
Delete or Merge Regressors Algorithms for Linear and Logistic
Model Selection and High-Dimensional Data
Tools for Applying Distribution Mapping Based Transfer Learning
Functions and Data for the Second Edition of "Data Mining with
R"
Statistical Inference for Mixed Traces of DNA (Lite-Version)
Tools for Analysing Forensic Genetic DNA Data
Dungeons & Dragons Functions for Players and Dungeon Masters
Estimating Differential Networks under Semiparametric Gaussian
Graphical Models
Differential Network Local Consistency Analysis
Deep Neural Network Tools for Probability and Statistic Models
Simulate Dynamic Networks using Exponential Random Graph Models
(ERGM) Family
Probabilistic Phylogenetic Principal Component Analysis
Dimension Reduction for Outlier Detection
Data from the GLM Book by Dobson and Barnett
Groupwise Statistics, LSmeans, Linear Estimates, Utilities
Measuring Concreteness in Natural Language
Distributed Representations of Sentences, Documents and Topics
Using the Docker Container to Create R Workers on Local or Cloud
Platform
Use Docker Images to Process Rmarkdown Blocks
Provides Docstring Capabilities to R Functions
Generate Tests from Examples Using 'roxygen' and 'testthat'
Run 'roxygen2' on (Chunks of) Single Code Files
Extract Data Tables and Comments from 'Microsoft' 'Word'
Documents
Acceptance Sampling Ideas Originated by H.F. Dodge
Full Factorials, Orthogonal Arrays and Base Utilities for DoE
Packages
Creation of Arrays by Mixed Integer Programming
Wrapper Package for Design of Experiments Functionality
Analysis of Design of Experiments for Biological Research
The Distributed Online Expectation Maximization Algorithms to
Solve Parameters of Poisson Mixture Models
Rare Variant Association Test Based on Position Density
Estimation
Use Foreach to Parallelize via the Future Framework
R Console Bindings for the 'Domino Command-Line Client'
Tools to Support Relative Importance Analysis
Foreach Parallel Adaptor for the Rmpi Package
Nearest Neighbour Search with Variables on a Torus
Exploration of Dental Surface Topography
Foreach Parallel Adaptor for the 'parallel' Package
'Foreach' Parallel Adapter Using the 'Redis' Database
Dynamics of Return to Equilibrium During Multiple Inputs
Generic Reproducible Parallel Backend for 'foreach' Loops
Design of Observational Studies, Companion to the Second Edition
Causal Effect Identification from Multiple Incomplete Data
Sources
Interactive Designing of Dose Finding Studies
Planning and Analyzing Dose Finding Experiments
Extract Drug Dosages from Free-Text Prescriptions
Conduct Sensitivity Analysis with Continuous Exposures and
Binary Outcomes
Foreach Parallel Adaptor for the 'snow' Package
Enhanced Foreign Function Interface Supporting Long Vectors
Gene-Set Analysis via Decorrelation by Orthogonal Transformation
Create and Manage Configuration Profiles
Dot-and-Whisker Plots of Regression Results
Survivor Function Estimation for Doubly Interval-Censored
Failure Time Data
Test Against Parametric Regression Function
Differential Exon Usage Test for RNA-Seq Data via Empirical
Bayes Shrinkage of the Dispersion Parameter
Estimate Incubation or Latency Time using Doubly Interval
Censored Observations
Enable Operators Containing the '?' Symbol
Double Constrained Correspondence Analysis for Trait-Environment
Analysis in Ecology
Create Elegant Table 1 in HTML for Bio-Statistics
Kernel Hazard Estimation with Best One-Sided and Double
One-Sided Cross-Validation
Functions Ported from 'MMR2' Toolbox Offered in Kevin Dowd's
Book Measuring Market Risk
Syntax Highlighting and Automatic Linking
Implement Download Buttons in 'rmarkdown'
A Tool to Downsize Large Analysis Projects for Testing
Dynamic Path Analysis of Survival Data via Aalen's Additive
Hazards Model
Dynamic Programming for Convex Clustering
Automated Analysis of Multiplex Digital PCR Data
RStudio Addin for Teaching and Learning Data Manipulation Using
'dplyr'
Dynamic Panel Models Fit with Maximum Likelihood
Inference of Parameters of Normal Distributions from a Mixture
of Normals
Differentially Private Statistical Analysis and Machine Learning
Determinantal Point Process Mixture Models
Density, Probability, Quantile ('DPQ') Computations
DPQ (Density, Probability, Quantile) Distribution Computations
using MPFR
Computation of Some Important Distributional Properties
Piecewise Linear Segmentation by Dynamic Programming
Dynamic Panel Multiple Threshold Model with Fixed Effects
Graphical User Interface for Data Quality Assessment
Core Functions for Data Quality Assessment
A BSA Software for Detecting All Types of QTLs in BC, DH, RIL
and F2
Methods for Dimension Reduction for Regression
Joint Dimension Reduction and Spatial Clustering
Dose Response Data Analysis using the 4 Parameter Logistic (4pl)
Model
Statistical Tools to Identify Dragon Kings
Drag and Drop Elements in 'Shiny' using 'Dragula Javascript
Library'
A Pipeline Toolkit for Reproducible Computation at Scale
Wrapper Functions for Producing Graphics
Draw Samples with the Desired Properties from a Data Set
Computation of Rayleigh Densities of Arbitrary Dimension
Data Representation: Bayesian Approach That's Sparse
Improving Estimation Efficiency in CAR with Imperfect Compliance
Simultaneous Clustering and (or) Dimensionality Reduction
Utilities for Data Analyses in Seed Germination/Emergence Assays
Statistical Approaches for Time-to-Event Data in Agriculture
Drug Response Prediction from Differential Multi-Omics Networks
A Nonparametric Doubly Robust Test for Continuous Treatment
Effect
Dose Response Models for Bayesian Model Averaging
Regularized Estimation of Dynamic Linear Regression in the
Presence of Autocorrelated Residuals (DREGAR)
Doubly Robust Generalized Estimating Equations
Fitting Linear and Generalized Linear Models in "Divide and
Recombine" Approach to Large Data Sets
Differential Risk Hotspots in a Linear Network
Calculates the Test-Statistic for the Drift Burst Hypothesis
Concept Drift and Concept Shift Detection for Predictive Models
Estimation, Simulation and Reliability of Drifting Markov Models
Imputing Dropout Events in Single-Cell RNA-Sequencing Data
Discontinuous Regression and Image Processing
Prioritizing Cancer Driver Genes Using Genomics Data
Handling Incomplete Responses in Survey Data Analysis
Doubly-Robust Estimators for Ordinal Outcomes
Statistical Modeling and Assessment of Drought
Efficient and Doubly Robust Population Size Estimation
Quality Measurements for Dimensionality Reduction
Doubly-Robust Nonparametric Estimation and Inference
Utility-Based Optimal Phase II/III Drug Development Planning
Diagnostics for OMOP Common Data Model Drug Records
Prepare Electronic Prescription Record Data to Estimate Drug
Exposure
Predict Drug Functional Similarity to Drug Repurposing
Summarise Patient-Level Drug Utilisation in Data Mapped to the
OMOP Common Data Model
Drug Repurposing in Cancer via a Subpathway Crosstalk Network
Seasonal Adjustment of Daily Time Series
Dynamical Systems Approach to Infectious Disease Epidemiology
(Ecology/Evolution)
Dynamical Systems Approach to Immune Response Modeling
Data Splitting Algorithms for Model Developments
Discretization-Based Direct Random Sample Generation
Normalize & Denoise Droplet Single Cell Protein Data (CITE-Seq)
Bayesian Subgroup Analysis in Clinical Trials
Density Estimation with Semidefinite Programming
What Skills and Qualifications are Required for Data Science
Related Jobs?
'DataSHIELD' Implementation on Local Datasets
Density Surface Modelling of Distance Sampling Data
Data Science Box of Pandora Miscellaneous
Estimation and Simulation of Drifting Semi-Markov Models
'DataSHIELD' Client for 'MOLGENIS Armadillo'
Tests and Confidence Intervals on Directly Standardized Rates
for Several Methods
A Comprehensive R Interface for the DSSAT Cropping Systems Model
Implementation of the Direct Sampling Spatial Prior
The Discrete Stable Distribution Functions
Analyze Two Choice Reaction Time Data with the D*M Method
Conditional Sensitivity Analysis for Matched Observational
Studies
Demonstrated Insensitivity to Bias in 2x2xK Contingency Tables
Multiple Testing of Local Extrema for Detection of Change Points
A Wrapper of the JavaScript Library 'DataTables'
Tabular Comparison of Paired Diagnostic Tests
Cell Type Deconvolution from Gene Expressions
Creates Plots Accompanying Bayesian Diagnostic Test Accuracy
Meta-Analyses
Diagnostic Test Assessment in the Absence of Gold Standard
Multi-Way Spherical Clustering via Degree-Corrected Tensor Block
Models
Statistical Combination of Diagnostic Tests
Comparison of Binary Diagnostic Tests in a Paired Study Design
Doubly Truncated Data Analysis, Cumulative Incidence Functions
Doubly Truncated Data Analysis, Non Iterative
Discrete Transmuted Generalized Inverse Weibull Distribution
Analysis of Diffusion Weighted Imaging (DWI) Data
Fetching Data from the 'Displacement Tracking Matrix'
Suite of Functions Related to Discrete-Time Discrete-State
Markov Chains
Dose Transition Pathways for Continual Reassessment Method
Interact with Data Type Registries and Create Machine-Readable
Data
Estimate and Make Inference About Optimal Treatment Regimes via
Smoothed Methods
Statistical Learning Methods for Optimizing Dynamic Treatment
Regimes
DTR Estimation and Inference via G-Estimation, Dynamic WOLS,
Q-Learning, and Dynamic Weighted Survival Modeling (DWSurv)
Dynamic Treatment Regimes for Survival Analysis
A Class for Working with Time Series Data Based on 'data.table'
and 'R6' with Largely Optional Reference Semantics
Distributed Trimmed Scores Regression for Handling Missing Data
Manipulate Date, POSIXct and hms Vectors
Imputation of Time Series Based on Dynamic Time Warping
Time Series Clustering Along with Optimizations for the Dynamic
Time Warping Distance
Simplified Data Analysis with Wrapper Functions for the
'Data.Table' Package
Imputation of Multivariate Time Series Based on Dynamic Time
Warping
Automatic Differentiation with Dual Numbers
Decimated and Undecimated 2D Complex Dual-Tree Wavelet Transform
Securely Wrangle Dataset According to Data Usage Agreement
Unpacking Assignment for Lists via Pattern Matching
DBI Package for the DuckDB Database Management System
High Performance Remote File System, Database and 'Geospatial'
Access Using 'duckdb'
Simple Client for the DuckDuckGo Instant Answer API
Creating a Color-Blind Friendly Duke Color Package
Displaying Changes Between Two Points Using Dumbbell Plots
Automatic Creation of Dummies with Support for Predictive
Modeling
Preprocessing Tools for Clinical Trial Data
Dunn's Test of Multiple Comparisons Using Rank Sums
Bayesian Inference from Count Data using Discrete Uniform Priors
Computes DNSLbetweenness, a Betweenness Measure that Includes
Self-Loops
Effect Size Estimation and Visualisation
Analyze Dose-Volume Histograms and Check Constraints
Convenience Functions, Moving Window Statistics, and Graphics
Dynamic VAR - Based Control Charts for Batch Process Monitoring
Edit and Validate Darwin Core Taxon Data
Fast Algorithms for Large Scale Generalized Distance Weighted
Discrimination
Read Binary Radar Files from 'DWD' (German Weather Service)
Gene Expression Deconvolution Using Dampened Weighted Least
Squares
Parametric Regression for Discrete Response
Calibration Assistant and Post-Processing Tool for Aquatic
Ecosystem Model DYRESM-CAEDYM
Detection of Chaotic and Regular Intervals in the Data
Interface to 'Dygraphs' Interactive Time Series Charting Library
Quadratic Programming using Cyclic Projections
Dynamic Mode Decomposition for Multivariate Time Feature
Prediction
Dynamic Logging for R Inspired by Configuration Driven
Development
Dynamic Simulation and Testing for Single-Equation ARDL Models
A Unified Mechanistic Model for the Population Dynamics of
Invasive Aedes Mosquitoes
Species Distribution and Abundance Modelling at High
Spatio-Temporal Resolution
Methods for Detection of Clusters in Hierarchical Clustering
Dendrograms
Bayesian Modeling and Causal Inference for Multivariate
Longitudinal Data
Bringing the Power of 'Dynare' to 'R', 'R Markdown', and
'Quarto'
An Implementation of Dynamic TOPMODEL Hydrological Model in R
Algorithms for Helping Build Dynamic TOPMODEL Implementations
from Spatial Data
Full Interactive GUI for Dynamic Biplot in R
Denoising and Clustering for Dynamical Image Sequence (2D or
3D)+t
Complexity of Short and Coarse-Grained Time Series
Dynamic Models for Confidence and Response Time Distributions
Dimensionality Reduction Methods in a Common Format
Resisting Neighbor Label Attack in a Dynamic Network
Random Forest with Multivariate Longitudinal Predictors
A Multi-Modal Simulator for Spearheading Single-Cell Omics
Analyses
Visualising Statistical Models using Dynamic Nomograms
Companion Package to "Dynamic Prediction in Clinical Survival
Analysis"
Dynamic Simulations of Autoregressive Relationships
Dynamic Stem Profile Models, AKA Tree Taper Equations
Methods for Estimating Optimal Dynamic Treatment Regimes
Common Functionality for the 'dynverse' Packages
Representing and Inferring Single-Cell Trajectories
Background and Pathway Data Used in 'DysPIA'
Misc Functions of the Department of Statistics, Probability
Theory Group (Formerly: E1071), TU Wien
Management and Processing Tools for Data Produced by the
Empatica E4
Fitting Dose-Response Models Using an Evolutionary Algorithm
Plots of the Empirical Attainment Function
Multiple Locus Association Mapping on a Genome-Wide Scale
Estimator Augmentation and Simulation-Based Inference
Dynamic Web-Based Analytics for the Energy Industry
Properties of Bayesian Early Gating Designs
Estimation of Transmissibility in the Early Stages of a Disease
Outbreak
Early Warning Signals for Critical Transitions in Time Series
Parallel Implementation of 'ETERNA 3.40' for Prediction and
Analysis of Earth Tides
Derive a Color Palette from a Particular Location on Earth
Simulating Explicit Population Genetics Models
Functions to Simplify the Use of 'glmnet' for Machine Learning
Frequently Used Functions for Easy R Programming
Efficient Approximate Bayesian Computation Sampling Schemes
Generate Alluvial Plots with a Single Line of Code
Analysis of Variance and Other Important Complementary Analyses
Extracting and Visualizing Bayesian Graphical Models
Comprehensive Single-Cell Annotation and Transcriptomic Analysis
Toolkit
Quickly Find, Extract, and Marginalize U.S. Census Tables
Easy Access to High-Resolution Daily Climate Data for Europe
Easily Connect to Common Types of Databases
A Convenient Way of Descriptive Statistics
Easily Performs Differential Coexpression Analysis
Interactive Scatter Plot and Volcano Plot Labels
Easy Model-Builder Functions for 'OpenMx'
Tools to Easily Read/Write NetCDF Files into/from
Multidimensional R Arrays
Sample Size Estimation for Experimental Designs
Reading, Formatting, and Organizing the Panel Study of Income
Dynamics (PSID)
Search and Retrieve Scientific Publication Records from PubMed
Helpful Functions from Oliver Wyman Actuarial Consulting
Easy Interface to the Statistical Disclosure Control Package
'sdcTable' Extended with Own Implementation of
'GaussSuppression'
Framework for Easy Statistical Modeling, Visualization, and
Reporting
Simplify Survival Data Analysis and Model Fitting
Ensemble Forecast Verification for Large Data Sets
Create Constraints for Small Test Assembly Problems
Spreadsheet Interface for Relational Databases
Data Management of Large Hierarchical Data
Exponentially Weighted Moving Average with Adjustments to
Measurement Error
Educational Assessment Tools for Replication Methods
Miscellaneous Functions for the Analysis of Educational
Assessments
Entropy Reweighting to Create Balanced Samples
Estuarine Bayesian Single-Station Estimation Method for
Ecosystem Metabolism
Empirical Bayes Thresholding and Related Methods
An Empirical Bayes Method for Chi-Squared Data
Robust Empirical Bayes Confidence Intervals
Co-Data Learning for Bayesian Additive Regression Trees
Empirical Bayes Estimation of Dynamic Bayesian Networks
Genotyping and SNP Detection using Next Generation Sequencing
Data
Access and Analyze eBird Status and Trends Data Products
Estimate Ensemble Bayesian Model Averaging Forecasts using Gibbs
Sampling or EM-Algorithms
Ensemble-Based Methods for Class Imbalance Problem
Solve the Empirical Bayes Normal Means Problem
Derive Polygenic Risk Score Based on Emprical Bayes Theory
Implementation of the Empirical Bayes Method
"Empirical Bayes Smoothing Splines with Correlated Errors"
Empirical Bayesian Tobit Matrix Estimation
Working with netCDF for Essential Biodiversity Variables
An Automated Way to Estimate EC50 for Stratified Datasets
Programmatic Access to the European Central Bank's Statistical
Data Warehouse
Translate English Sentence into Chinese, or Translate Chinese
Sentence into English
Statistical Tests for the Production of Reference Materials
Functions for Spatial Point Pattern Analysis
A Goodness-of-Fit Test for Elliptical Distributions with
Diagnostic Capabilities
Downloading and Processing Microdata from ECH-INE (Uruguay)
Embedding Interactive Charts Generated with ECharts Library into
Shiny Applications
Create Interactive Graphs with 'Echarts JavaScript' Version 5
Minimal R/Shiny Interface to JavaScript Library 'ECharts'
The Echelon Analysis and the Detection of Spatial Clusters using
Echelon Scan Method
Finding Rhythms Using Extended Circadian Harmonic Oscillators
(ECHO)
Efficient Calculation of Fine Structure Isotope Patterns via
Fourier Transforms of Simplex-Based Elemental Models
Ensemble Correlation-Based Low-Rank Matrix Completion
Environment Based Clustering for Interpretable Predictive Models
in High Dimensional Data
Interface to 'ECMWF' and 'CDS' Data Web Services
Calculating Optimum Sampling Effort in Community Ecology
Integrating Ecosystem Remote Sensing Products to Derive EBV
Indicators
Tools to Create, Use, and Convert ecocomDP Data
Graphical Modelling and Ordination using Copulas
Ordinary Differential Equation Systems in Ecology
Estimating a Diet Matrix from Biotracer and Stomach Content Data
Dissimilarity-Based Functions for Ecological Analysis
A General Framework for Combining Ecosystem Models
Complexity Measures for Supervised Problems
"A Practical Guide to Ecological Modelling - Using R as a
Simulation Platform"
Coalescent-Based Simulation of Ecological Communities
Ecological Inference of RxC Tables by Latent Structure
Approaches
General Analysis of Various Economics Demand Systems
Estimation of Parameter-Dependent Network Centrality Measures
Simulate and Sample from Ecological Interaction Networks
Computing Key Indicators of the Spatial Distribution of Economic
Activities
Computational Methods for Economic Complexity
Null Model Analysis for Ecological Networks
Power Estimates and Equivalence Testing for Multivariate Data
Ecological Regression using Aggregate and Individual Data
Conducts Analyses Informing Ecosystem Restoration Decisions
Economic Statistics System of the Bank of Korea
Simulating Community Assembly and Ecological Diversification
Using Ecospace Frameworks
Code and Data Accompanying the Eco-Stats Text (Warton 2022)
Statistical Scaling Functions for Ecological Systems
Characterising and Locating Ecotones and Communities
Download and Extract Data from US EPA's ECOTOX Database
An Implementation of the EcoTroph Ecosystem Modelling Approach
Procedures for Ecological Assessment of Surface Waters
Non-Parametric Multiple Change-Point Analysis of Multivariate
Data
Flexible Co-Data Learning for High-Dimensional Prediction
Quantitative Estimates of Small Ectotherm Temperature Regulation
Effectiveness
Cointegration Based Support Vector Regression Model
Cointegration Based Timedelay Neural Network Model
Equality of 2 (or k) Continuous Univariate and Multivariate
Distributions
Enhanced Coefficient of Variation and IDR Extensions for
Reproducibility Assessment
Estimate ED50 and Its Confidence Interval
Experimental Design and Analysis for Tree Improvement
Ecological Data Collection and Processing Package
Exploratory and Descriptive Event-Based Data Analysis
Read Data from European Data Format (EDF and EDF+) Files
Goodness of Fit Based on Empirical Distribution Function
Tool for the U.S. SEC EDGAR Retrieval and Parsing of Corporate
Filings
Algorithms for Bundling Edges in Networks and Visualizing Flow
and Metro Maps
Datasets that Support the EDGE Server DIY Logic
Encapsulating Elements of Experimental Design
Modeling Urban Agriculture at City Scale
Bayesian Estimation of an Exploratory Deterministic Input, Noisy
and Gate Model
Network Reconstruction and Changepoint Detection
'DT' Extension for CRUD (Create, Read, Update, Delete)
Applications in 'shiny'
'RStudio' Addin for Editing a 'data.frame'
Model Transport of Environmental DNA in River Networks
Parsing, Applying, and Manipulating Data Cleaning Rules
An API Client for the Environmental Data Initiative Repository
Toolbox for Error-Driven Learning Simulations with Two-Layer
Networks
R Integration for Edlib, the C/C++ Library for Exact Pairwise
Sequence Alignment using Edit (Levenshtein) Distance
Dynamic Model Averaging with Grid Search
Euclidean Distance Matrix Completion Tools
Joint Modeling of Traditional and Environmental DNA Survey Data
in a Bayesian Framework
Implements the EDNE-Test for Equivalence
Empirical Distribution Ordering Inference Framework (EDOIF)
Analysis of NCES Education Survey and Assessment Data
Retrieve Records from the Urban Institute's Education Data
Portal API
Compute and Decompose Inequality in Education
Robust Analytical Methods for Evaluating Educational
Interventions using Randomised Controlled Trials Designs
Read and Preprocess Fluorescence Excitation-Emission Matrix
(EEM) Data
EEMD Based Auto Regressive Integrated Moving Average Model
Ensemble Empirical Mode Decomposition and Its Variant Based ELM
Model
EEMD Based LSTM Model for Time Series Forecasting
Ensemble Empirical Mode Decomposition and Its Variant Based
Support Vector Regression Model
EEMD and Its Variant Based Time Delay Neural Network Model
Ensemble Explainable Machine Learning Models
Tools for Pre-Processing Emission-Excitation-Matrix (EEM)
Fluorescence Data
Convenience Functions for Education Data
Simulate and Evaluate Time Series for Environmental Epidemiology
Eigenvectors from Eigenvalues Sparse Principal Component
Analysis (EESPCA)
Modelling Framework for the Estimation of Salmonid Abundance
Exploratory Factor Analysis Functions for Assessing
Dimensionality
Dimensionality Assessment Using Minimum Rank Factor Analysis
Determining the Number of Factors in Exploratory Factor Analysis
Fast and Flexible Implementations of Exploratory Factor Analysis
Tools
Utility Functions for Exploratory Factor Analysis
Simulate Forest Resources with the European Forestry Dynamics
Model
Wavelet-Based Enhanced FDR for Detecting Signals from Complete
or Incomplete Spatially Aggregated Data
Efficient Least Squares for Total Causal Effects
Calculate Effective Number of Clusters for a Linear Model
Effect Displays for Linear, Generalized Linear, and Other Models
Visualization of Categorical Response Models
Efficient Initials for Computing the Maximal Eigenpair
The Causal Effects for a Causal Loglinear Model
Fetch Data from the Federal Reserve Economic Database
Exploratory Graph Analysis – a Framework for Estimating the
Number of Dimensions in Multivariate Data using Network
Psychometrics
Extensions for 'ggplot2': Custom Geom, Custom Themes, Plot
Alignment, Labelled Panels, Symmetric Scales, and Fixed Panel
Size
Hierarchical Modelling of Faecal Egg Counts
Extended Generalised Linear Hidden Markov Models
Simple Presentation of Estimated Exponential Semi-Variograms
Import and Analyse Ego-Centered Network Data
Exploration and Graphics for RivEr Trends
Exploration and Graphics for RivEr Trends Confidence Intervals
Ensemble Gene Regulatory Network Inference
Leveraging eQTLs to Identify Individual-Level Tissue of Interest
for a Complex Trait
Quality Control and Semantic Enrichment of Datasets
Enhanced Help to Enable "Docstring"-Comments in Users Functions
Electronic Health Record (EHR) Data Processing and Analysis Tool
Delineating Temporal Dataset Shifts in Electronic Health Records
Methodologies for Functional Data Based on the Epigraph and
Hypograph Indices
Real Datasets for Assessing Ecological Inference Algorithms
API Wrapper for U.S. Energy Information Administration ('EIA')
Open Data
Ecological Inference of RxC Tables by Overdispersed-Multinomial
Models
Declarative Feature Extraction from Tabular Data Records
Utilities for Expanding Functionality of 'eiCompare'
Semiparametric Factor and Regression Models for Symmetric
Relational Data
Efficiently Impute Large Scale Incomplete Matrix
Effective Information and Causal Emergence
Access to RFR (Risk-Free Rate) Curves Produced by the EIOPA
Ecological Inference and Higher-Dimension Data Management
Explanatory Item Response Modeling for Dichotomous and
Polytomous Items
An Algorithm for Reducing Errors-in-Variable Bias in Simple and
Multiple Linear Regressions
MCMC Procedures for Estimating Enzyme Kinetics Constants
Empirical Likelihood (EL) for Comparing Two Survival Functions
A 'shiny' Application for Exploring Laboratory Data
Elastic Analysis of Sparse, Dense and Irregular Curves
Enhanced Least Absolute Shrinkage and Selection Operator
Regression Model
Elastic Full Procrustes Means for Sparse and Irregular Planar
Curves
General Purpose Interface to 'Elasticsearch'
Elastic-Net for Sparse Estimation and Sparse PCA
Collection of Functions for Statistical Election Audits
Estimation of Life Expectancies Using Multi-State Models
Decomposition of Seats-to-Votes Distortion in Multimember
Elections
Ranked Voting Election Audits with Dirichlet-Trees
R Functions to Download and Clean Brazilian Electoral Data
Allocating Seats Methods and Party System Scores
Calculate the Distance to the Nearest Local Treeline
Load Associated Press Election Results with Elex
Kumaraswamy Complementary Weibull Geometric (Kw-CWG) Probability
Distribution
Empirical Likelihood for General Block Designs
Sampling from a Empirical Likelihood Bayesian Posterior of
Parameters Using Hamiltonian Monte Carlo
ELISA Data Analysis with Batch Correction
Equipment for Logarithmic and Linear Time Stepwise Multiple
Hypothesis Testing
Linear, Logistic and Generalized Linear Models Regressions for
the EnvWAS/EWAS Approach
Functions for Drawing Ellipses and Ellipse-Like Confidence
Regions
Inference of Elliptical Distributions and Copulas
Weierstrass and Jacobi Elliptic Functions
Implementation of the Efficient Large-Scale Online Display
Advertising Algorithm
Model-Based Gene Selection for Paired Data
Ranking Teams by Elo Rating and Comparable Methods
Preference Rating for Visual Stimuli Based on Elo Ratings
Optimized Elo Rating Method for Obtaining Dominance Ranks
Animal Dominance Hierarchies by Elo Rating
Bayesian Dominance Hierarchy Steepness via Elo Rating and
David's Scores
Entropy-Based Local Indicator of Spatial Association
Utilise Catastrophe Model Event Loss Table Outputs
Empirical Likelihood Analysis for the Cox Model and
Yang-Prentice (2005) Model
EM Algorithm for Maximum Likelihood Estimation by Non-Precise
Information
Client for the 'emailalvalidation.io' E-Mail Validation API
Robust Bayesian Variable Selection via Expectation-Maximization
Fast Embedding Guided by Self-Organizing Map
Tools to Analyze the Thermal Reaction Norm of Embryo Growth
Bayesian Hierarchical Analysis of Cognitive Models of Choice
EM Algorithm for Model-Based Clustering of Finite Mixture
Gaussian Distribution
Empirical Mode Decomposition and Hilbert Spectral Analysis
Empirical Mode Decomposition Based Artificial Neural Network
Model
Support Functions and Data for "Ecological Models and Data"
Estimating and Mapping Disaggregated Indicators
Empirical Mode Decomposition Based Support Vector Regression
Model
Accuracy Statistic Estimation for Imperfect Gold Standards
Exponentially Modified Gaussian (EMG) Distribution
Expectation-Maximization Algorithm for Multivariate Normal
(Gaussian) with Missing Data
EM Algorithms for Estimating Item Response Theory Models
Tools for Create Emissions for Air Quality Models
Emissions and Statistics in R for Wastewater and Pollutants in
Combined Sewer Systems
Evolutionary Mode Jumping Markov Chain Monte Carlo Expert
Toolbox
Read and Write Ecological Metadata Language Files
Computationally Efficient Maximum Likelihood Identification of
Linear Dynamical Systems
Estimated Marginal Means, aka Least-Squares Means
A Mixture Model-Based Approach to the Clustering of Microarray
Expression Data
Mixture Models with Component-Wise Factor Analyzers
Semi-Supervised Gaussian Mixture Model with a Missing-Data
Mechanism
A Maximum Likelihood Approach to the Analysis of Modularity
Fitting Mixed Models with Known Covariance Structures
Tools for Environmental and Ecological Survey Design
Eye Movement Analysis Package for Fixation and Saccade Detection
Expected Maximum Profit Classification Performance Measure
Conducting the Peak Fitting Based on the EM Algorithm
Exploratory Analysis of Tabular Data using Colour Highlighting
Evaluates the Empirical Characteristic Function for Multivariate
Samples
Routines for Performing Empirical Calibration of Observational
Study Estimates
Empirical Likelihood Ratio for Censored/Truncated Data
Empirical Likelihood Ratio Test for Two-Sample U-Statistics with
Censored Data
Empirical Likelihood Ratio Test/Confidence Interval for AUC or
pAUC
Epimed Solutions Collection for Data Editing, Analysis, and
Benchmark of Health Units
Some EM-Type Estimation Methods for the Heckman Selection Model
Tools for Fast Computing and Visualizing Euclidean Minimum
Spanning Trees
Exact Multinomial Test: Goodness-of-Fit Test for Discrete
Multivariate Data
Main Package of the EMU Speech Database Management System
Encoding of Nucleotide Sequences into Numeric Feature Vectors
Ensemble Methods for Multiple Change-Point Detection
Represent Ordered Lists and Pairs as Strings
Direct Multi-Step Forecast Based Comparison of Nested Models via
an Encompassing Test
Easily Encrypt and Decrypt Data Frame/Tibble Columns or Files
using RSA Public/Private Keys
Padronizador de Endereços Brasileiros (Brazilian Addresses
Standardizer)
Recursive Two-Stage Models to Address Endogeneity
Bayesian Measurement Models for Analyzing Endorsement
Experiments
Transmissions and Receptions in an End to End Network
E-Statistics: Multivariate Inference via the Energy of Data
Distribution Free Multivariate Control Chart Based on Energy
Test
Data Published by the United States Federal Energy Regulatory
Commission
Robust and Sparse Methods for High Dimensional Linear and Binary
and Multinomial Regression
Engineering Economics Analysis for Engineering Projects Cost
Analysis
Data sets from "Introductory Statistics for Engineering
Experimentation"
Automated Tuning and Evaluations of Ecological Niche Models
Ecological Niche Modeling using Presence-Absence Data
Species Distribution Modeling and Ecological Niche Modeling
Analysis of Niche Evolution using Niche and Distribution Models
Ensemble Partial Least Squares Regression
Enrichment Analysis and Intersecting Sankey Diagram
Methods to Enrich R Objects with Extra Components
Extensible Package for Parallel, Batch Training of Base Learners
for Ensemble Modeling
Probabilistic Forecasting using Ensembles and Bayesian Model
Averaging
Extensible Package for Cross-Validation-Based Integration of
Base Learners
Extensible Package for Principal-Component-Regression-Based
Heterogeneous Ensemble Meta-Learning
Extensible Classes and Methods for Penalized-Regression-Based
Integration of Base Learners
Ensemble Taxonomic Assignments of Amplicon Sequencing Data
Human Gene Annotation Data from 'Ensembl'
Estimation of Entropy, Mutual Information and Related Quantities
Estimation of Entropy and Related Quantities
MCMC Simulation and Convergence Evaluation using Entropy and
Kullback-Leibler Divergence Estimation
Miscellaneous Functions for Environmental Analyses
Detection of Structural Changes in Climate and Environment Time
Series
Various Utilities for Microbial Genomics and Metagenomics
Environmental Interpolation using Spatial Kernel Density
Estimation
GC/LC-MS Data Analysis for Environmental Science
Isotope Pattern, Profile and Centroid Calculation for Mass
Spectrometry
Environmental Probabilistic Risk Assessment Tools
Keep Track of User-Defined Environment Names
Whole Genome Phylogenies Using Sequence Environments
Methods for Identification of Outliers in Environmental Data
Configurable Reporting on your External Compute Environment
Package for Environmental Statistics, Including US EPA Guidance
Make Working with Environment Variables Easier and More
Consistent
Wildlife Mortality Estimator for Low Fatality Rates and
Imperfect Detection
Official R API for Fetching Data from 'EODHD'
Export or Graph and Tables to 'Microsoft' Office and Import
Figures and Tables
Data Management Package (Exposure and Occurrence Data in R)
Statistical Functions for the Censored and Uncensored
Epanechnikov Distribution
Call 'EPANET' Functions to Simulate Pipe Networks
Ensemble Penalized Cox Regression for Survival Prediction
EPE's 4MD Model to Forecast the Adoption of Distributed
Generation
Argentina's Permanent Household Survey Data and Manipulation
Utilities
Elementary Epidemiological Functions for Epidemiology and
Biostatistics
Ewnet: An Ensemble Wavelet Neural Network for Forecasting and
Epicasting
Simulating and Analysing Transmission Chain Statistics Using
Branching Process Models
A Tidy Solution for Epidemiological Data
Statistical and Viz Tools for Vector-Borne Diseases in Colombia
Handling, Visualisation and Analysis of Epidemiological Contacts
Epidemiological Tool for Contact Tracing
Tools to Retrieve Economic Policy Institute Data Library
Extracts
Estimate Time Varying Reproduction Numbers from Epidemic Curves
Analysis and Simulation of Plant Disease Progress Curves
Predicting Disease Spread from Flow Data
Code Sharing at the Department of Epidemiological Research at
Statens Serum Institut
Interface Package for the 'EpiGraphDB' Platform
Nonlinear Mixed Effects Models of Epidemic Growth
Spatial and Network Based Individual Level Models for Epidemics
Continuous Time Distance-Based and Network-Based Individual
Level Models for Epidemics
Miscellaneous Helper Tools for Epidemiologists
The 'epilogi' Variable Selection Algorithm for Continuous Data
A Fast and Flexible Bayesian Tool for Estimating Epidemiological
Parameters
Functions and Data for "Epidemics: Models and Data in R"
Functions and Data for "Epidemics: Models and Data in R (2nd
Edition)"
Mathematical Modeling of Infectious Disease Dynamics
Epistatic Network Modelling with Forward-Time Simulation
Estimate Real-Time Case Counts and Time-Varying Epidemiological
Parameters
Analysis of Omics Data in Observational Studies
Tools for the Analysis of Epidemiological Data
Ensemble Based Machine Learning Approach for Predicting
Methylation States
Basic Sensitivity Analysis of Epidemiological Results
Constructing an Epistemic Model for the Games with Two Players
Flexible Contingency Tables for Epidemiology
Test for Gene x Gene Interactions in Bi-Parental Populations
Small Helpers and Tricks for Epidemics Analysis
Early Detection of Public Health Threats from 'Twitter' Data
A 'shiny' Wrapper of the R Package 'epiworldR'
Spatially Explicit Population Models of Disease Transmission in
Wildlife
Partial Linear Single Index Models for Environmental Mixture
Analysis
A Toolkit for Using Whole Building Simulation Program
'EnergyPlus'
Robust Estimation of Probit Models with Endogeneity
Clinical Coding of Patients with Kidney Disease
String Interpolation for Documents, Reports and Apps
Exact Post Selection Inference with Applications to the Lasso
Ensemble Patch Transform, Visualization and Decomposition
Create Future 'EnergyPlus' Weather Files using 'CMIP6' Data
Methods for Analysing 'EQ-5D' Data and Calculating 'EQ-5D' Index
Scores
Testing the Equality of Two Covariance Matrices
Testing the Equality of a High Dimensional Set of Densities
Algorithm Driven Time Series Analysis for Researchers without
Coding Skills
Algorithm Driven Statistical Analysis for Researchers without
Coding Skills
Examine Measurement Invariance via Equivalence Testing and
Projection Method
Equivalent Estimation Balanced Split Plot Designs
Calculate Urinary Saturation with the EQUIL2 Algorithm
Modeling, Confidence Intervals and Equivalence of Survival
Curves
Equivalence Testing for Pre-Trends in Difference-in-Differences
Designs
Provides Tests and Graphics for Assessing Tests of Equivalence
Equivalence Test for the Means of Two Normal Distributions
Testing for Equivalence and Noninferiority
Uniformly Most Powerful Invariant Tests of Equivalence
Automated Spectral Deconvolution, Alignment, and Metabolite
Identification in GC/MS-Based Untargeted Metabolomics
Fitting Tails by the Empirical Residual Coefficient of Variation
Fits Expectile Regression for Panel Fixed Effect Model
Fit, Simulate and Diagnose Exponential-Family Models for
Networks
Fit, Simulate and Diagnose Exponential-Family Models for
Networks with Count Edges
Fit, Simulate and Diagnose Exponential-Family Random Graph
Models to Egocentrically Sampled Network Data
Fit, Simulate and Diagnose Exponential-Family Models for
Multiple or Multilayer Networks
Fit, Simulate and Diagnose Exponential-Family Models for
Rank-Order Relational Data
Process Analysis for Exponential Random Graph Models
Tools for Modeling ERGM Generating Processes
Local Health Department network data set
Exponential Random Graph Models for Small Networks
Check Arguments and Generate Readable Error Messages
Significance Analysis of Event-Related Potentials Data
Event-Related Potential (ERP) Data Exploration Made Easy
Exploratory Reduced Reparameterized Unified Model Estimation
Empirically Informed Random Trajectory Generation in 3-D
Extended Empirical Saddlepoint Density Approximations
Indicators of Electoral Systems and Party Systems
Effect Size Computation for Meta Analysis
A Modular Approach to Dose-Finding Clinical Trials
Estimation Statistics with Confidence Intervals
Experiment-Selector CV-TMLE for Integration of Observational and
RCT Data
Adaptive Enrichment Designs with Sample Size Re-Estimation
Ensemble Tool for Predictions from Species Distribution Models
Adaptive Clinical Trial Designs with Endpoint Selection and
Sample Size Reassessment
Exploratory Structural Equation Modeling ESEM
Data Preparation During and After the Use of the Experience
Sampling Methodology (ESM)
Preprocessing Experience Sampling Method (ESM) Data
Easy Study of Patient DICOM Data in Oncology
Explore and Visualize Your Data Interactively
Joint Quantile and Expected Shortfall Regression
Efficient Stepwise Selection in Decomposable Models
Essential Functions not Included in Base R
Download Data from the European Social Survey on the Fly
Fundamentos De Estadistica Descriptiva e Inferencial
Calibrating Parameters for the Samejima's Continuous IRT Model
Efficient Sequential Testing with Evidence Ratios
Tools for Assessing Estimability of Linear Predictions
Perform the Joint Graphical Lasso and Selects Tuning Parameters
Maximum Likelihood Estimation for Probability Functions from
Data Sets
Fast Estimators for Design-Based Inference
Diagnostic Tools and Unit Tests for Statistical Estimators
Estimation of Four-Fold Table Cell Frequencies (Raw Data) from
Effect Size Measures
Estimating the Sample Mean and Standard Deviation from Commonly
Reported Quantiles in Meta-Analysis
Visualization and Estimation of Effect Sizes
Forest Yield Tables for Northwest Germany and their Application
Modeling Earthquake Data Using 'ETAS' Model
Bootstrap Confidence Interval Estimation for 'ETAS' Model
Parameters
Mixed FLP and ML Estimation of ETAS Space-Time Point Processes
for Earthquake Description
Ethnicity Annotation from Whole-Exome and Targeted Sequencing
Data
Extract-Transform-Load Framework for Medium Data
Utility Functions to Execute Standard Extract/Transform/Load
Operations (using Package 'ff') on Large Data
Classification and Regression with Structured and Mixed-Type
Data
Analysis of Elliptical Tubes Under the Relative Curvature
Condition
Computes Moments of Univariate Truncated t Distribution
Creates Safety Results Summary in XML to Upload to EudraCT, or
ClinicalTrials.gov
Analyse 'EuFMDiS' Output Files via a Shiny App
eulerian: A package to find eulerian paths from graphs
Area-Proportional Euler and Venn Diagrams with Ellipses
Efficient Univariate Maximum Mean Discrepancy
Standard Dataset Manager for Observational Medical Outcomes
Partnership Common Data Model Sample Datasets
Makes it Easier to Work with Daily 'netCDF' from EURO-CORDEX
RCMs
Fast and Easy Eurostat Data Import and Search
Interact with Metadata Records and Media on the Europeana
Repository
R Interface to the Europe PubMed Central RESTful Web Service
Historical Populations of European Cities, 1500-1800
Extreme Value Analysis with Goodness-of-Fit Testing
Evaluation Clustering Methods for Disease Subtypes Diagnosis
Parsing and Evaluation Tools that Provide More Details than the
Default
Collection of Model Evaluation Measure Functions
Sensitivity Analyses for Unmeasured Confounding and Other Biases
in Observational Studies and Meta-Analyses
Modelling Actual, Potential and Reference Crop
Evapotranspiration
Computes and Plot the Optimal Charging Strategy for Electric
Vehicles
Functions for Extreme Value Distributions
Bayesian Analysis in Extreme Value Theory
A Posteriori Probs of Suits Breaking Evenly Across Four Hands
Graphical User Interface for the 'EventDetectR' Package
Regression Models for Event History Outcomes
Event Prediction Including Cured Population
Streaming Events and their Early Classification
Estimation and Visualization of Linear Panel Event Studies
Event Prediction for Time-to-Event Endpoints
Event-Specific Win Ratios for Terminal and Non-Terminal Events
Generalised Additive Extreme Value Models
Epidemic Volatility Index as an Early-Warning Tool
Evidential Analysis of Genetic Association Data
Analysis of Scientific Evidence Using Bayesian and Likelihood
Methods
Reporting Tools for Sensitivity Analysis of Evidence Factors in
Observational Studies
Synthesizing Causal Evidence in a Distributed Research Network
Evidence Factors in Observational Studies
A Seamless Integration of 'EViews' and R
Test Dice Sets for Intransitive Properties
Inference with Extreme Value Inflated Count Data
Extreme Value Mixture Modelling, Threshold Estimation and
Boundary Corrected Kernel Density Estimation
Comparative and Population Genetic Analyses
Important Concepts of Evolutionary Game Theory
Evolutionary Parameter Estimation for 'Repast Simphony' Models
Pre- And Postprocessing of Morphological Data from Relaxed Clock
Bayesian Phylogenetics
Electric Vehicle Charging Sessions Profiling and Modelling
Electric Vehicle Charging Sessions Simulation
Mean of Order P, Peaks over Random Threshold Hill and High
Quantile Estimates
Extreme Value Theory for Open Set Classification - GPD and GEV
Classifiers
Evolutionary Learning of Globally Optimal Trees
Goodness-of-Fit Tests for the Exponential and Two-Parameter
Weibull Distributions
Escalation with Overdose Control using 2 Drug Combinations
An Empirical Model for Underdispersed Count Data
Forecasting Tipping Points at the Community Level
Exact Samples Sizes and Inference for Clinical Trials with
Binary Endpoint
Exact Tests and Confidence Intervals for 2x2 Tables
Exact P-Values and Matching Confidence Intervals for Simple
Discrete Parametric Cases
Inductive Confidence Intervals for the Difference Between Two
Proportions
Admissible Exact Intervals for One-Dimensional Discrete
Distributions
Exact Test and Exact Confidence Interval for the Cox Model
Fast Extraction from Raster Datasets using Polygons
An Exact Method for Life Table Response Experiment (LTRE)
Analysis
Exact Mediation Analysis for Binary Outcomes
Exact Distributions for Rank and Permutation Tests
Help for Writing Unit Tests Based on Function Examples
Support for Compiling Examination Tasks using the 'exams'
Package
Question Generation in the 'MyLearn' XML Format
Embedding 'exams' Exercises as Forms in 'rmarkdown' or 'quarto'
Documents
Interface for 'exams' Exercises in 'learnr' Tutorials
Automatic Generation of Exams in R for 'Sakai'
Confidence/Credible Regions for Exceedance Sets and Contour
Lines
Confidence Intervals for Exceedance Probability
Convenient Data Exchange with Microsoft Excel
Streamline Data Import, Cleaning and Recoding from 'Excel'
A Wrapper of the 'JavaScript' Library 'jExcel'
Checks for Exclusion Criteria in Online Data
Creating Tables of Excluded Observations
Excursion Sets and Contour Credibility Regions for Random Fields
Quantile Maximization Likelihood Estimation and Bayesian
Ex-Gaussian Estimation
A Fast and Scalable Exhaustive Feature Selection Framework
A k Nearest Neibour Ensemble Based on Extended Neighbourhood
Rule
Pacote Para Analise De Experimentos Com Graficos De Superficie
Resposta
Fitting of Exponential Autoregressive (EXPAR) Model
Fitting of Exponential Autoregressive Moving Average (EXPARMA)
Model
Modular Differential Evolution for Experimenting with Operators
R Package for Designing and Analyzing Randomized Experiments
Datasets Used in Social Science Experiments: A Hands-on
Introduction
Design of Discrete Choice and Conjoint Analysis
Non-Additive Expression Analysis of Hybrid Offspring
Exponential Integral and Incomplete Gamma Function
Explanation of Predictions for Classification and Regression
Models
Calculate Exploded Coordinates Based on Original Node
Coordinates and Node Clustering Membership
Interactive Interfaces for Results Exploration
A Tool for Large-Scale Exploratory Analyses
Streamlined Export of Graphs and Data Tables
Exploratory Analysis with the Singular Value Decomposition
Models Topographic Exposure to Hurricane Winds
Data Mining of Plant Diversity and Distribution
Computing Expectations and Marginal Likelihoods for Permutations
An Exponential Stochastic Block Model for Interaction Lengths
Data Sets from "Forecasting with Exponential Smoothing"
Tables, Labels and Some Useful Functions from Spreadsheets and
'SPSS' Statistics
Fast, Reliable and Elegant Reproducible Research
Extending the Range of Functions for Probability Distributions
Additional Families for Generalized Linear Models
Constructs the Exterior Match from Two Matched Control Groups
Maximum Penalized Likelihood Estimation with Extended Lasso
Penalty
An Extended Mallows Model and Its Hierarchical Version for
Ranked Data Aggregation
Additional Univariate and Multivariate Distributions
Estimation and Additional Tools for Alternative Shared Frailty
Models
Extra Binary Relational and Logical Operators
More Miscellaneous Steps for the 'recipes' Package
Astrobiology Equations Estimating Extraterrestrial Life
Summary Statistics for Geospatial Features
Extended RC Models for Contingency Tables
Estimation of Extreme Conditional Quantiles and Probabilities
Forecast Verification for Extreme Events
Bayesian Estimation of Extreme Value Mixture Models
Extreme Value Statistics and Quantile Estimation
Estimation of Extreme Value Dependence for Time Series Data
Spatial Dependencies and Indices for Extremes
Econometric Analysis of Explosive Time Series
Value Added in Exports and Other Input-Output Table Analysis
Tools
Open Source Ophthalmic Data Sets Curated for R
Import ASC Files from EyeLink Eye Trackers
Import Gaze Data for EyeLink Eye Tracker
Prepare/Analyse Eye Tracking Data for Reading
Organising and Analysing Eye-Tracking Data
Easy Analysis and Visualization of Factorial Experiments
Easy Interface to Effective Concentration Calculations
Event Categorization Matrix Classification for Nuclear
Detonations
Task Oriented Interface for Exploratory Data Analysis
Easy-to-Interpret Gaussian Process Models for Computer
Experiments
Avoid the Typical Working Directory Pain When Using 'knitr'
Easy Use of R via Shiny App for Basic Analyses of Experimental
Data
Tunes AdaBoost, Elastic Net, Support Vector Machines, and
Gradient Boosting Machines
Change Point Detection in High-Dimensional Time Series Networks
'ATAforecasting' Modelling Interface for 'fable' Framework
INGARCH and GLARMA Models for Count Time Series in Fable
Framework
Core Tools for Packages in the 'fable' Framework
Overfitting Bayesian Mixtures of Factor Analyzers with
Parsimonious Covariance and Unknown Number of Components
Compute FAB (Frequentist and Bayes) Conformal Prediction
Intervals
Wrapper Functions Collection Used in Data Pipelines
Create Easily Canvas in 'shiny' and 'RMarkdown' Documents
Fast Covariance Estimation for Sparse Functional Data
Access to Facebook Ads via the 'Windsor.ai' API
Get Facebook Leads Ads Data via the 'Windsor.ai' API
Get Data from 'Facebook Organic' via the 'Windsor.ai' API
Time Series Factor Models for Asset Returns
Instrumental Variables Estimation for 2^k Factorial Experiments
Combination of Factorial Methods and Cluster Analysis
Extract and Visualize the Results of Multivariate Data Analyses
Automatic Description of Factorial Analysis
Multivariate Exploratory Data Analysis and Data Mining
Factorial Optimal Designs for Two-Colour cDNA Microarray
Experiments
Post-Processing MCMC Outputs of Bayesian Factor Analytic Models
Use Raw Vectors to Minimize Memory Consumption of Factors
Set of Assumptions for Factor and Principal Component Analysis
Factor, Bi-Factor, Second-Order and Factor Tree Copula Models
Design and Analysis of a 2x2 Factorial Trial
Factor Model Estimation Using Proxy Variables
Bayesian Estimation of (Sparse) Latent Factor Stochastic
Volatility Models
Perform Factorial Analysis from 'FactoMineR' with a Shiny
Application
Multi-Environment Genomic Prediction with Penalized Factorial
Regression
Variable Selection for Supervised Classification in High
Dimension
Distributions that are Sometimes Used in Hydrology
Functional Data Clustering Using Adaptive Density Peak Detection
FDA Adverse Event Reporting System Quarterly Data Extracting
Tool
Data from the Book "Multivariate Statistical Modelling Based on
Generalized Linear Models", First Edition, by Ludwig Fahrmeir
and Gerhard Tutz
Fair Data Adaptation with Quantile Preservation
Ontology Tools with Data FAIRification in Development
Clustering for Data with Sensitive Attribute
Flexible Tool for Bias Detection, Visualization, and Mitigation
Flexible Data Simulation Using the Multivariate Normal
Distribution
Generate Fake Datasets for Prototyping and Teaching
Fuzzy Adaptive Resonance Theory K-Means Clustering Technique
Finding Allele-Specific Copy Number in Next-Generation
Sequencing Data
Finding Allele-Specific Copy Number in Whole-Exome Sequencing
Data
Family Age-at-Onset Data Simulation and Penetrance Estimation
Statistical Tests of Familial Hypotheses
End-to-End Automated Machine Learning and Model Evaluation
Probabilities for Pedigrees Given DNA Data
Kinship Ties in (Virtual) Multi-Generation Populations
Algorithm for Ranking Predictors Using Graphical Domain
Knowledge
Maximum Likelihood and Bayesian Estimation of Univariate
Probability Distributions
A Flexible Algorithm for Model Selection
Family Sequence Kernel Association Test for Rare and Common
Variants
Factor Analysis for Multiple Testing (FAMT) : Simultaneous Tests
under Dependence in High-Dimensional Data
Penalized Likelihood Factor Analysis via Nonconvex Penalty
Feature Allocation Neighborhood Greedy Search Algorithm
Building Kriging Models from FANOVA Graphs
Visualisation of Sequential Probability Distributions Using Fan
Charts
ANSI Control Sequence Aware String Functions
Translate Words or Sentences via Online Translators
Evapotranspiration Based on FAO Penman-Monteith Equation
Influential Case Detection Methods for Factor Analysis and
Structural Equation Models
Modelization for Functional AutoRegressive Processes
Functions and Datasets for Books by Julian Faraway
Fast and Robust Deconvolution of Tumor Infiltrating Lymphocyte
from Expression Profiles using Least Trimmed Squares
Data and Code for Financial Accounting Research
Interactive Interface to Data Envelopment Analysis Modeling
High Performance Colour Space Manipulation
Factor-Augmented Sparse Regression Tuning-Free Testing
Fasano-Franceschini Test: A Multivariate Kolmogorov-Smirnov
Two-Sample Test
Joint Segmentation of Correlated Time Series
A Fast and Scalable Joint Estimator for Learning Multiple
Related Sparse Gaussian Graphical Models
Rmetrics - Analysing and Modelling Financial Assets
Analyze, Summarize, and Visualize Daily Streamflow Data
Analyze and Visualize FAST-Generated Data
Self-Tuning Data Adaptive Matrix Imputation
Fast Regression for the Accelerated Failure Time (AFT) Model
Fast Backward Elimination Based on Information Criterion
Fast Estimation of a Covariance Matrix by Banding the Cholesky
Factor
Fast Approximation of Time-Varying Infectious Disease
Transmission Rates
Fast Hierarchical Clustering Routines for R and 'Python'
Significant Interval Discovery with Categorical Covariates
Fine-Gray Regression via Forward-Backward Scan
Lasso and Elastic-Net Penalized Cox's Regression in High
Dimensions Models using the Cocktail Algorithm
Fast Change Point Detection via Sequential Gradient Descent
Fast Estimation of CUB Models via Louis' Identity
Fast Creation of Dummy (Binary) Columns and Rows from
Categorical Variables
Fast Functional Mixed Models using Fast Univariate Inference
Fast and Exact Computation of Gaussian Stochastic Process
Fast 'Rcpp' Implementation of Gauss-Hermite Quadrature
Fast and Stable Fitting of Generalized Linear Models using
'RcppEigen'
Fast Algorithms for Generalized Principal Component Analysis
Efficiently Using Gaussian Processes with Rcpp and RcppEigen
Fast Drawing and Shading of Graphs of Statistical Distributions
FastICA Algorithms to Perform ICA and Projection Pursuit
Learn from Training Data then Quickly Fill in Missing Data
Semi-Parametric Joint Modeling of Longitudinal and Survival Data
A Fast Multiple-Kernel Method Based on a Low-Rank Approximation
Faster K-Medoids Clustering Algorithms: FastPAM, FastCLARA,
FastCLARANS
A Fast Algorithm for Kernel Quantile Regression
Fast Probabilistic Record Linkage with Missing Data
Fast Functions for Liu Regression with Regularization Parameter
and Statistics
Fast Computation of Multivariate M-Estimators
Fast Computation of some Matrices Useful in Statistics
Fast Mutual Information Based Independence Test
Fast Machine Learning Model Training and Evaluation
Extremely Fast Implementation of a Naive Bayes Classifier
FastPCS Robust Fit of Multivariate Location and Scatter
Fast Alternatives to 'tidyverse' Functions
Read and Write PNG Files with Configurable Decoder/Encoder
Options
Finds the Critical Sequential Point of Stability for a Pearson
Correlation
Faster Generation of Quantile Quantile Plots with Large Samples
Foundations and Applications of Statistics Using R (2nd Edition)
Fits the FastRCS Robust Multivariable Linear Regression Model
Time-Saving Package for Creating Reports
Sample Generalized Random Dot Product Graphs in Linear Time
Functions to Access Premier Hockey Federation and National
Hockey League Play by Play Data
Fast Interactive Framework for Web Scripting Using R
A Fast Algorithm for Sparse Precision Matrix Estimation
Efficient Learning of Word Representations and Sentence
Classification
Fast Utility Function for Time Parsing and Conversion
Fast Algorithms for Fitting Topic Models and Non-Negative Matrix
Factorizations to Count Data
Fast Time Series Modeling for Seasonal Series with Exogenous
Variables
A Suite of High-Performance Packages for Statistics and Data
Manipulation
Compute Maximal Overlap Discrete Wavelet Transform (MODWT) and À
Trous Discrete Wavelet Transform
Two-Locus Family-Based Association Test with Polytomous Outcome
Quantification of Fate Bias in Multipotent Progenitors
Kiener Distributions and Fat Tails in Finance
Fault Trees for Risk and Reliability Analysis
'Font Awesome' Icons as 'shiny' 'favicons'
Find the URL to the 'Favicon' for a Website
Functions and Datasets for "Forest Analytics with R"
An Extensible Approach to Flux Balance Analysis
Gene by Environment Interaction and Conditional Gene Tests for
Nuclear Families
Phase I Optimal Dose Assignment using the FBCRM and MFBCRM
Methods
Algorithm for Searching the Space of Gaussian Directed Acyclic
Graph Models Through Moment Fractional Bayes Factors
Flexible Bayesian Model Selection and Model Averaging
FISH Based Normalization and Copy Number Inference of SNP
Microarray Data
Analyzing and Managing Facebook Ads from R
Fast Algorithms to Bootstrap Receiver Operating Characteristics
Curves
The Full Bayesian Evidence Test, Full Bayesian Significance Test
and the e-Value
Standard Evaluation-Based Multivariate Function Composition
Floating Catchment Area (FCA) Methods to Calculate Spatial
Accessibility
Inference of Fuzzy Cognitive Maps (FCMs)
Flexible Cutoffs for Model Fit Evaluation in Covariance-Based
Structural Models
Rmetrics - Bivariate Dependence Structures with Copulae
Functional Concurrent Regression for Sparse Data
A Method to Search for Differentially Expressed Genes and to
Detect Recurrent Chromosomal Copy Number Aberrations
Estimation and Inference for the Fractionally Cointegrated VAR
Measuring Functional Diversity (FD) from Multiple Traits, and
Other Tools for Functional Ecology
Functional Data Analysis and Utilities for Statistical Computing
Autocorrelation Function for Functional Time Series
Joint Clustering and Alignment of Functional Data
Concurrent Regression and History Index Models for Functional
Data
Functional Data Analysis for Density Functions by Transformation
to a Hilbert Space
Functional Data Analysis in a Mixed Model Framework
Model-Based Clustering for Functional Data with Covariates
Analysis of Variance for Univariate and Multivariate Functional
Data
Outlier Detection Tools for Functional Data Analysis
Functional Data Analysis and Empirical Dynamics
Physics-Informed Spatial and Functional Data Analysis
Partially Observed Integrated Functional Depth
Two-Dimensional FPCA, Marginal FPCA, and Product FPCA for
Repeated Functional Data
Interval Testing Procedure for Functional Data
Fast Implementation of the Diffusion Decision Model
Optimal Experimental Designs for Functional/Dynamic Models
Data Mining and R Programming for Beginners
Dynamic Model Averaging and Dynamic Model Selection for
Continuous Outcomes
Permutation-Based FDR Point and Confidence Interval Estimation
False Discovery Rate Procedures Under Discrete and Heterogeneous
Null Distributions
Estimate, Plot, and Summarize False Discovery Rates
Computing Power and Sample Size for the False Discovery Rate in
Multiple Applications
Compute Sample Size that Meets Requirements for Average Power
and FDR
Estimation of (Local) False Discovery Rates and Higher Criticism
Frequency Distribution Tables, Histograms and Polygons
Application of Optimal Transport to Functional Data Analysis
False Discovery Exceedance Controlling Multiple Testing
Procedures
Feature Extraction and Statistics for Time Series
Local Inferential Feature Significance for Multivariate Kernel
Density Estimation
Measurement Level Independent Feature Correlation Matrix
Turn Features On and Off using Feature Flags
Creates a Model Matrix via Feature Hashing with a Formula
Interface
Feature Importance for Partitional Clustering
Feature Extraction for Discretely-Sampled Functional Data
Feature Selection Engine to Remove Features with Minimal
Predictive Power
Some Helper Functions that Help Create Features from Data
Data Package for the 2016 United States Federal Elections
Fechnerian Scaling of Discrete Object Sets
Download Geospatial Data Available from Several Federated Data
Sources
Client Package for the U.S. Federal Register API
Fast, Flexible, and User-Friendly Record Linkage Methods
Text Analysis of the US Code of Federal Regulations
Unofficial API for Fedstat (Rosstat EMISS System) for Automatic
and Efficient Data Queries
An Easier Access to Financial Accounts of the United States(Z.1)
Estimating Fixed Effects Individual Slope Models
Functional Help for Functions, Objects, and Packages
Fixed Effects Nonlinear Maximum Likelihood Models
Fixed Effects Logistic Model with High-Dimensional Parameters
Estimation and Fit Assessment of Frailty Exponential Random
Graph Models
Facilitate Exploration of touRR optimisatioN
Fertilizer Response Curve Analysis by Bootstrapping Residuals
Process Data from the Social Networks and Fertility Survey
Get Data from Google Analytics via the 'Windsor.ai' API
Get Data from Salesforce via the 'Windsor.ai' API
Rmetrics - Modelling Extreme Events in Finance
Memory-Efficient Storage of Large Data on Disk and Fast Access
Functions
Download Data from Kenneth French's Website
Fully Flexible Probabilities for Stress Testing and Portfolio
Construction
API Client for Fantasy Football League Platforms
Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees
Fast FFT and DCT Based on the FFTW Library
Wrapper for 'FFTW3' Includes: One-Dimensional, Two-Dimensional,
Three-Dimensional, and Multivariate Transforms
Rmetrics - Autoregressive Conditional Heteroskedastic Modelling
Utilities for Fundamental Geo-Spatial Data
Access Small ForestGEO Datasets For Examples
Using 'FastGit' to Accelerate the Access to 'GitHub'
Truncated Functional Generalized Linear Models
A Feasible Generalized Least Squares Estimator for Regression
Analysis of Outcomes with Network Dependence
Partial Separability and Functional Gaussian Graphical Models
Functional Genomics Repository for POST-GWAS Analysis
Fractional Hot Deck and Fully Efficient Fractional Imputation
Fitting Hidden Markov Models to Financial Data
Tests for Right and Interval-Censored Survival Data Based on the
Fleming-Harrington Class
Provide functions for forest inventory calculations
Focused Information Criteria for Model Comparison
Classical, Reloaded and Adaptive FastICA Algorithms
Bayesian Multinomial Logistic Normal Regression
A Shiny App for Design of Experiments in Life Sciences
Simulation of Plot Errors and Phenotypes in Plant Breeding Field
Trials
A Lightweight and Flexible Web Framework
Forest Inventory Estimation and Analysis
Utility Functions for Forest Inventory Estimation and Analysis
Check Validity of FIGI, CUSIP, ISIN, SEDOL
Easily Arrange External Figures with Patchwork Alongside
'ggplot2' Figures
Support for a Variety of Figure Production Tasks
Transform Files to 'microtable' Object with 'microeco' Package
File-Backed Array for Out-of-Memory Computation
Wrapper for the Filebin File Sharing API
File-Backed Matrix Class with Convenient Read and Write Access
Effective File Navigation from the R Console
Matrix Completion, Imputation, and Inpainting Methods
Patterned Fills for 'ggplot2' and 'grid' Graphics
IMDb Film Ratings from the Summer of 2022
Rmetrics - Importing Economic and Financial Data
Quickly Create Elegant Regression Results Tables and Plots when
Modelling
Financial Analysis and Regression Diagnostic Analysis
Financial Instrument Model Infrastructure and Meta-Data
Interface for the 'Finnish Biodiversity Information Facility'
API
Learning Bipartite Graphs: Heavy Tails and Multiple Components
Time Value of Money, Time Series Analysis and Computational
Finance
Covariance Matrix Estimation and Regularization for Finance
Estimate Genome Size of Polyploid Species Using k-Mer
Frequencies
Find Pattern in Files of All Branches of a 'git' Repository
Functions to Find an Acceptable Python Binary
Find Code Snippets, R Scripts, R Markdown, PDF and Text Files
with Pattern Matching
Calculate Social Vulnerability Index for Communities
A View Generator for Multidimensional Data
Fine-Scale Population Analysis (Rewrite for
Gene-Trait-Environment Interaction Analysis)
Functions to Operate on Binary Fingerprint Data
Computation of the Probability of Ruin Within a Finite Time
Horizon
Test for Finiteness of Moments in a Distribution
Quickly Build and Manipulate Financial Networks
Analyse Open-Ended Survey Responses in Finnish
Microsoft Finance Time Series Forecasting Framework
Financial Data from U.S. Securities and Exchange Commission
Companion to Tsay (2005) Analysis of Financial Time Series
Lightweight Federal Information Processing System (FIPS) Code
Information Retrieval
Induced Priors in Bayesian Mixture Models
Integrates 'Google Firebase' Authentication Storage, and
'Analytics' with 'Shiny'
Prediction of Wildland Fire Behavior and Hazard
Factor Importance Ranking and Selection using Total Indices
A Small Collection of Fish Population Datasets
The FisherEM Algorithm to Simultaneously Cluster and Visualize
High-Dimensional Data
Transform Base Maps Using Log-Azimuthal Projection
Dataset of Measurements of Fish Species at Kirkkojarvi Lake,
Finland
Fits Poisson-Sum-of-Gammas GLMs, Tweedie GLMs, and Delta
Log-Normal Models
Phylogenies for a List of Finned-Ray Fishes
Proximate Composition Analysis of Fish and Feed Ingredients
Analytical Tool for Aquatic Respirometry
Fuzzy Inference System Design and Optimization
Transcriptomic Dynamics Models in Field Conditions
Help to Fit of a Parametric Distribution to Non-Censored or
Censored Data
Mean and Covariance Matrix Estimation under Heavy Tails
Fit Vector Fields and Potential Landscapes from Intensive
Longitudinal Data
Finite Mixture Model Fitting of Lifespan Datasets
Modeling Over Dispersed Binomial Outcome Data Using BMD and ABD
'Shiny' Application for R Package 'fitODBOD'
Tools for Ordinary Differential Equations Model Fitting
Genotype Calling for Bi-Allelic Marker Assays
Classes for Fitness Landscapes and Seascapes
FITS (Flexible Image Transport System) Utilities
Fit Hundreds of Theoretical Distributions to Empirical Data
Fit Univariate Mixed and Usual Distributions
Data and Code Behind the Stories and Interactives at
'FiveThirtyEight'
Algorithms for Finding Fixed Point Vectors of Functions
Determine and Test the Fixed-Point Property in Binary Mixture
Data
The Distribution of Distances Between Discrete Events in Fixed
Time
An R Client for the "Fixer.io" Currency API
Fixing Data Made Easy for Statistical Analysis
Fixed Sequence Multiple Testing Procedures
Available Light Within the Water Column and on the Seafloor of
Arctic Fjords
Fast Kalman Filtering Through Sequential Processing
Feature-Based Landscape Analysis of Continuous and Constrained
Optimization Problems
Fits Piecewise Constant Models with Data-Adaptive Knots
Interpretable Matching for Causal Inference
Functional Latent Data Models for Clustering Heterogeneous
Curves ('FLaMingos')
Implementation of optimal hierarchical clustering
Shed Light on Black Box Machine Learning Models
Create Flashcards of Terms and Definitions
Transforms Contingency Tables to Data Frames, and Analyses Them
Obtaining a Flat Table from Pivot Tables
Tools for Working with XML Files as R Dataframes
Smoother Change Tracking and Versioning for R Packages
Flexible, Ensemble-Based Variable Selection with Potentially
Missing Data
R Markdown Format for Flexible Dashboards
Tools to Work with the Flexible Dirichlet Distribution
Generalized Additive Models with Flexible Response Functions
Flexible Latent Trait Metrics using the Filtered Monotonic
Polynomial Item Response Model
Finite Mixture Modeling of Generalized Nonlinear Models
A General Framework for Flexible Multi-State Survival Modelling
Regression Models for Bounded Continuous and Discrete Responses
Breaks Single Page Applications from 'flexdashboard' in Multiple
Files
Flexible Parametric Survival and Multi-State Models
Estimate Joint Models with Subject-Specific Variance
Reconstruct Animal Paths from Solar Geolocation Loggers Data
Download Flight and Airport Data from Brazil
Simple and Flexible Tests of Sample Exchangeability
Parses Code, Creates Partial Code Builds, Delivers Code Movie
Implement a Countdown in 'RMarkdown' Documents and 'shiny'
Applications
A Wrapper of JavaScript Library 'flipdown.js'
Flexible Inference via Permutations in R
Robust Score Testing in GLMs, by Sign-Flip Contributions
Convert Files to and from Binary Objects (BLOBs)
Process Synchronization Using File Locks
Statistical Methods for the (Regional) Analysis of Flood
Frequency
Flood Probability Plotting and Graphical Frequency Analysis
Tools for Interacting with the Brazilian Flora 2020
Explore Flora e Funga do Brasil Database
Fit Log-Ratio Lasso Regression for Compositional Data
View and Browse Code Using Flow Diagrams
Reciprocity Indices for Style-Polymorphic Plants
Draw Flows (Migration, Goods, Money, Information) on 'ggplot2'
Plots
A Backend for a 'nextflow' Pipeline that Performs
Machine-Learning-Based Modeling of Biomedical Data
The Environmental Costs of Flow Regulation
Daily Streamflow Trend and Change Point Screening
Tracing Information Flow for Inter-Software Comparisons in Mass
Spectrometry-Based Bottom-Up Proteomics
Path Algorithm for the General Fused Lasso Signal Approximator
Mining Rigs for Problems in the Subset Sum Family
Influenza-Attributable Mortality with Distributed-Lag Models
Estimate Insect Survival from Fluorescence Data
Flux Rate Calculation from Dynamic Closed Chamber Measurements
Parsing, Computation, and Diagnostics for Greenhouse Gas
Measurements
Ecosystem Gas Fluxes Calculations for Closed Loop Chamber Setup
Data Sets from "Forecasting: Methods and Applications" by
Makridakis, Wheelwright & Hyndman (1998)
Factorial Experiments with Minimum Level Changes
Efficient Estimation of Clustered Current Status Data
A Flexible Modelling Environment for Inverse Modelling,
Sensitivity, Identifiability and Monte Carlo Analysis
Model-Agnostic Interpretations with Forward Marginal Effects
Tools of Heterogeneity Pursuit via Finite Mixture Effects Model
Triangle Meshes and Related Geometry Tools
Fast Class Noise Detector with Multi-Factor-Based Learning
Rhythmic Patterns Modeling by FMM Models
Filtered Monotonic Polynomial IRT Models
R Access to the 'FMP Cloud' and 'Financial Modeling Prep' API
Functional MRI Quality Assurance Routines
Scrubbing and Other Data Cleaning Routines for fMRI
Routines for Common fMRI Processing Tasks
Functions for Medical Statistics Book with some Demographic Data
Regression Models with Finite Mixtures of Skew Heavy-Tailed
Errors
Variance Estimation of FMT Method (Fully Moderated T-Statistic)
Rmetrics - Modeling of Multivariate Financial Return
Distributions
Factor-Adjusted Network Estimation and Forecasting for
High-Dimensional Time Series
Fast Nearest Neighbor Search Algorithms and Applications
Rmetrics - Nonlinear and Chaotic Time Series Modelling
Inbreeding and Numerator Relationship Coefficients
Numerical Tools for 'Rcpp' and Lambda Functions
Feature Ordering by Conditional Independence
Summarize CRAN Check Results in the Terminal
Forward Stepwise Discriminant Analysis with Pillai's Trace
Datasets for Teaching Archaeology and Paleontology
Add Extra 'Fomantic UI' Components to 'shiny.semantic'
Fonts with 'Bitstream Vera Fonts' License
Food Network Inference and Visualization
Food Quotient and Nutrient Analysis for HSFFQ
Enhanced Wrapper to Show Which Functions Call What
Penalties in the German Men's Football Bundesliga
Fitting Bayesian and MLE Football Models
Field Observation Quick Analysis Toolkit
Organization Measures for Visual Foraging
Foraminifera and Community Ecology Analyses
Tools for Working with Categorical Variables (Factors)
Forecasting Functions for Time Series and Linear Models
Convenient Functions for Ensemble Time Series Forecasts
Forecasting Routines for Locally Stationary Wavelet Processes
Time Series Forecasting with Machine Learning Methods
Forecasting for Stationary and Non-Stationary Time Series
Test Bench for the Comparison of Forecast Methods
Size-Power Tradeoff Visualization for Equal Predictive Ability
of Two Forecasts
Read Data Stored by 'Minitab', 'S', 'SAS', 'SPSS', 'Stata',
'Systat', 'Weka', 'dBase', ...
Information Theory Tools for Forensic Analysis
Systems Insights from Generation of Hydroclimatic Timeseries
Forest Carbon Sequestration and Potential Productivity
Calculation
Approximate False Positive Rate Control in Selection Frequency
for Random Forest
Fitting and Assessing Neighborhood Models of the Effect of
Interspecific Competition on the Growth of Trees
A Unified Framework for Random Forest Prediction Error
Estimation
Statistical Modelling for Plant Size Distributions
Forest Growth and Yield Model Based on Clutter Model
Forest Health Evaluation System at the Forest Stand Level
Design-Based Global and Small-Area Estimations for Multiphase
Forest Inventories
Advanced Forest Plot Using 'grid' Graphics
Forest Population Structure and Numeric Dynamics
Ecosystem and Canopy Structural Complexity Metrics from LiDAR
Implements the Forest-R.K. Algorithm for Classification Problems
Forest Spatial Structure Analysis Systems
Tools for Analyzing Remote Sensing Forest Data
Projecting Customer Retention Based on Fader and Hardie
Probability Models
Foraminiferal Image Analysis and Test Measurement
Functions to Estimate Tree Volume and Phytomass in the Italian
Forest Inventory 2005
Formatting Numbers in 'rmarkdown' Documents
A Simple Connection Between the 'FormShare App' and 'R' for
Advanced Analytics
Programmatic Utilities for Manipulating Formulas, Expressions,
Calls, Assignments and Other R Objects
Dynamic Generation and Quality Checks of Formula Objects
Comprehensive Tools for Drug Formulation Analysis and
Visualization
Forensic Pedigree Analysis and Relatedness Inference
Diagnostic Analysis Using Forward Search Procedure for Various
Models
String Manipulation Package for Those Familiar with 'Microsoft
Excel'
Automatic Processing of Terrestrial-Based Technologies Point
Cloud Data for Forestry Purposes
Palaeoecological and Palaeogeographical Analysis Tools
Automated Cleaning of Fossil Occurrence Data
Simulation and Plots for Fossil and Taxonomy Data
'Palantir Foundry' Software Development Kit
Bayesian 4 Parameter Item Response Model
A Game for Human vs. Human or Human vs. AI
Parsimonious Hidden Markov Models for Four-Way Data
Power and Sample Size for Projection Test under Repeated
Measures
Three Dimensional Functional Component Analysis
Predictive Confidence Bands for Functional Time Series
Forecasting
The FPCdpca Criterion on Distributed Principal Component
Analysis
Reliable Comparison of Floating Point Numbers
Automatic Distribution Graphs Using Formulas
Segmentation using Optimal Partitioning and Function Pruning
Weighted Segmentation using Functional Pruning and Optimal
Partioning
Rmetrics - Portfolio Selection and Optimization
Computing the noncentrality parameter of the noncentral F
distribution
Data for "Forecasting: principles and practice"
Data for "Forecasting: Principles and Practice" (2nd Edition)
Data for "Forecasting: Principles and Practice" (3rd Edition)
Approximation of First-Passage-Time Densities for Diffusion
Processes
Testing Hypotheses via Fuzzy P-Value in Fuzzy Environment
Calculate Floristic Quality Assessment Metrics
Contains Regional Floristic Quality Assessment Databases
Floristic Quality Assessment Tools for R
Fractionally Differenced ARIMA aka ARFIMA(P,d,q) Models
Numerical CDFs for Fractional Unit Root and Cointegration Tests
Fraction Proliferation via a Quiescent Growth Model
Simulation and Parameter Estimation of Randomized Sierpinski
Carpets using the p-p-p-q-Model
Estimation of Fractal Dimension of a Black Area in 2D and 3D
(Slices) Images
Assessing and Visualizing Fragility of Clinical Results with
Binary Outcomes
Fitting Frailty Models with the EM Algorithm
Frailty Models via Hierarchical Likelihood
Efficient Algorithm for High-Dimensional Frailty Model
Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints
General Semiparametric Shared Frailty Model
Financial Risk Modelling and Portfolio Optimisation with R
Automatic Data Processing and Visualization for FRAP
Fuzzy Rule-Based Systems for Classification and Regression Tasks
Fast Regularized Canonical Correlation Analysis
Statistical Analysis for Random Objects and Non-Euclidean Data
Estimation and Inference for High Dimensional Mediation and
Surrogate Analysis
Client for the 'freecurrencyapi.com' Currency Conversion API
Read and Write 'FreeSurfer' Neuroimaging File Formats
Tree Method for High Dimensional Longitudinal Data
A Wrapper of the JavaScript Library 'Freewall'
Rmetrics - Regression Based Decision and Prediction
Generate Open or Closed Interpolating Curves
Download Data Sets from Kenneth's French Finance Data Library
Site
FREQ: Estimate population size from capture frequencies
Automated Cumulative Frequency Plots for Grouped Distribution
Frequency Domain Based Analysis: Dynamic PCA
Functional Time Series: Dynamic Functional Principal Components
Estimates Allele Frequency on qPCR DeltaDeltaCq from Bulk
Samples
Frequency Profiles Computing and Plotting
Make Quick Descriptive Tables for Categorical Variables
Spectral Decomposition of Connectedness Measures
Implementation of Frequent-Directions Algorithm for Efficient
Matrix Sketching
Screened Selection Design with Survival Endpoints
Screened Selection Design with Binary Endpoints
Feature Selection Algorithms for Computer Aided Diagnosis
Create Custom 'Bootstrap' Themes to Use in 'Shiny'
Fast Robust Estimation of Signals in Heterogeneous Data
Fractional Factorial Designs with 2-Level Factors
Catalogues of Resolution IV 128 Run 2-Level Fractional
Factorials Up to 33 Factors that Do Have 5-Letter Words
Relative Importance of Main and Interaction Effects
Read and Write Frictionless Data Packages
The Entire Transcript from Friends in Tidy Format
Utilities for the Forest Research Institute of the State
Baden-Wuerttemberg
Emulate a 'Forth' Programming Environment
Functions for Calculating Fit-Robustness of CNA-Solutions
Evaluation Tools for Assessing Climate Adaptation of Fruit Tree
Species
Cross-Platform File System Operations Based on 'libuv'
Simple Fisheries Stock Assessment Methods
Data to Support Fish Stock Assessment ('FSA') Package
Managing and Visualizing Brain Surface Data
Automated Feature Selection from 'caret'
Forward Stepwise Deep Autoencoder-Based Monotone NLDR
Robust Data Analysis Through Monitoring and Dynamic
Visualization
'Rcpp' Implementation of 'FSelector' Entropy-Based Feature
Selection Algorithms with a Sparse Matrix Support
Estimation, Variable Selection and Prediction for Functional
Semiparametric Models
Import and Analysis of OMR Data from FormScanner
An Interface Between the 'FSKX' Standard and 'R'
Wrapper Functions for 'FSL' ('FMRIB' Software Library) from
Functional MRI of the Brain ('FMRIB')
Rosenthal's Fail Safe Number and Related Functions
Estimating the Number of Factors in EFA with Out-of-Sample
Prediction Errors
Social Relations Analyses with Roles ("Family SRM")
Fused Sparse Structural Equation Models to Jointly Infer Gene
Regulatory Network
Generate Fully-Sequential Space-Filling Designs Inside a Unit
Hypercube
Lightning Fast Serialization of Data Frames
Genetic Distance Segmentation for Population Genetics
Unified Sequence-Based Association Tests Allowing for Multiple
Functional Annotation Scores
Fault Tree Analysis Based on Proxel Simulation
A Wrapper for the API of the Danish Parliament
Rmetrics - Trading and Rebalancing Financial Instruments
Feature Extraction from Biological Sequences
White Noise and Goodness-of-Fit Tests for Functional Time Series
Spectral Density Estimation and Comparison for Functional Time
Series
Framework for Unified Estimation in Lognormal Models
Sensitivity Analysis Optimized for Matched Sets of Varied Sizes
Plot Full ROC Curves using Eyewitness Lineup Data
Clean and Visualize Over Expression Results from
'ConsensusPathDB'
Functional Cheng and Church Bi-Clustering
Convenience Functions by Michael Chirico
Model-Free Functional Chi-Squared and Exact Tests
Functional Analysis (with Interactions) for Dense SNP Data
Easy Computation of Functional Diversity Indices
Clustering in the Discriminative Functional Subspace
Psychometric Functions from the Waller Lab
Gaussian Process Models for Scalar and Functional Inputs
Rmetrics - Modelling Trends and Unit Roots
Functional Data Analysis for Multiplexed Cell Images
Generating Funky Heatmaps for Data Frames
Model-Based Co-Clustering of Functional Data
Functional Mediation for a Distal Outcome
Exploratory Data Analysis and Data Preparation Tool-Box
Time-Based Joins to Analyze Sequences of Events
Funnel Plots for Comparing Institutional Performance
Simple Utility Providing Terminal Access to all R Functions
Functional Regression for Irregularly Timed Data
Creating and Representing Functional Trait Spaces
Apply Mapping Functions in Parallel using Futures
Implementation of Fused MGM to Infer 2-Class Networks
Fused Lasso for High-Dimensional Regression over Groups
Clustering and Feature Screening using L1 Fusion Penalty
Interim Analysis of Operational Futility in Randomized Trials
with Time-to-Event Endpoints and Fixed Follow-Up
Unified Parallel and Distributed Processing in R for Everyone
Apply Function to Elements in Parallel using Futures
A Future API for Parallel and Distributed Processing using
'batchtools'
A Future API for Parallel Processing using 'callr'
A 'Future' API for Parallel Processing using 'mirai'
Easily Install and Load the 'Futureverse'
Imputation Procedures and Quality Tests for Fuzzy Data
Join Tables Together on Inexact Matching
Apply Two Fuzzy Numbers on a Monotone Function
Fuzzy Quantification of Common and Rare Species
Fuzzy Rank Tests and Confidence Intervals
Resampling Methods for Triangular and Trapezoidal Fuzzy Numbers
Fuzzy Similarity in Species Distributions
Simulation and Resampling Methods for Epistemic Fuzzy Data
Fuzzy Stationary Probabilities from a Sequence of Observations
of an Unknown Markov Chain
Statistical Methods for Trapezoidal Fuzzy Numbers
Package 'FuzzyStatTra' in Encapsulated Object Oriented
Programming
Selecting Variables in Regression Models
Scatter Plot After Residualizing Using 'fixest' Package
Fresh Weight Determination from Visual Image of the Plant
'fxl' Single Case Design Charting Package
Generalized Ridge Regression for Linear Models
Grain-Size Statistics and Description of Sediment
Interactively Visualize Genetic Mutation Data using a
Lollipop-Diagram
Facilitation of Data Preparation and Plotting Procedures for RDA
and PCA Analyses
Genetic Similarity in User-Based Collaborative Filtering
Analysis of Variance from General Principles
A Genetic Algorithm for Learning Directed Acyclic Graphs
Gadget is the Globally-Applicable Area Disaggregated General
Ecosystem Toolbox
Globally-Applicable Area Disaggregated General Ecosystem Toolbox
V3
Global Adaptive Generative Adjustment Algorithm for Generalized
Linear Models
Genetic Algorithm Assisted Genomic Best Liner Unbiased
Prediction
Genetic and Isotopic Assignment Accounting for Habitat
Suitability
Machine Learning-Based Analysis of Potential Power Gain from
Passive Device Installation on Wind Turbine Generators
Graphical Extension with Accuracy in Parameter Estimation
(GAIPE)
Biodiversity Data from the GBIF Node Network
Generalized Additive Latent and Mixed Models
Collection of Packages for Internet Marketing
Generate Test Matrices for Numerical Experiments
Genomic Annotation in Livestock for Positional Candidate LOci
Genetic Algorithms and C-Steps Based LTS (Least Trimmed Squares)
Estimation
Interface to Galvanize 'Highbond' Internal Audit Software
Hierarchical Partitioning of Adjusted R2 and Explained Deviance
for Generalized Additive Models
Fit the Gambin Model to Species Abundance Distributions
One-Dimensional Random Walks Through Simulation of the Gambler's
Ruin Problem
Functions and Data for a Course on Modern Regression and
Classification
Generalized Additive Models for Bivariate Conditional Dependence
Structures and Vine Copulas
Applies GAMbag, GAMrsm and GAMens Ensemble Classifiers for
Binary Classification
Genetic Algorithm for Sequential Symmetric Games
Tools for Calculating Allocations in Game Theory
Generalized Additive Models for Location Scale and Shape
Extra Additive Terms for Generalized Additive Models for
Location Scale and Shape
Fitting an Interval Response Variable Using `gamlss.family'
Distributions
Generating and Fitting K-Inflated 'discrete gamlss.family'
Distributions
Data for Generalised Additive Models for Location Scale and
Shape
Distributions for Generalized Additive Models for Location Scale
and Shape
Parallel Computations for Distributional Regression
Plotting Functions for Generalized Additive Model for Location
Scale and Shape
Fitting Mixed (Inflated and Adjusted) Distributions
Extra Lasso-Type Additive Terms for GAMLSS
Fitting Mixture Distributions with GAMLSS
Spatial Terms in Generalized Additive Models for Location Scale
and Shape Models
Generating and Fitting Truncated `gamlss.family' Distributions
Bimodal Skew Symmetric Normal Distribution
Generalized Additive Extreme Value Models for Location, Scale
and Shape
Generalized Additive Mixed Models using 'mgcv' and 'lme4'
Dose Rate Estimation from in-Situ Gamma-Ray Spectrometry
Measurements
Classic Gamma Regression: Joint Modeling of Mean and Shape
Parameters
Generalized Additive Mixed Model Interface
Generalized Additive Mixed Model Analysis via Slice Sampling
Robust and Sparse Regression via Gamma-Divergence
Fit Regularization Path for Generalized Additive Models
Bayesian Generalized Additive Model Selection
Build a Metric Subspaces Data Model for a Data Source
Generate Generative Data for a Data Source
Gene Association Network-Based Pathway Analysis (GANPA)
Searching Parsimony Models with Genetic Algorithms
Drawing Gapped Cluster Heatmaps with 'ggplot2'
Estimating a GARCHSK Model and GJRSK Model
Gene and Region Counting of Mutations ("GARCOM")
Fitting and Forecasting Gegenbauer ARMA Time Series Models
Generalized Array Arithmetic for Ragged Arrays with Named
Margins
Import, Recompute and Analyze Data from Portable Gas Analyzers
Genetic Algorithm (GA) for Variable Selection from
High-Dimensional Data
Greenhouse Gas Flux Calculation from Chamber Measurements
Train and Apply a Gaussian Stochastic Process Model
Analyzing Gastric Emptying from MRI or Scintigraphy
Genetic Data Handling (QC, GRM, LD, PCA) & Linear Mixed Models
Easily Gate or Select Points on a Scatter Plot
Flow/Mass Cytometry Gating via Spatial Kernel Density Estimation
Geographic and Taxonomic Occurrence R-Based Scrubbing
Lotka-Volterra Models for Gause's 'Struggle for Existence'
The Gaussian Covariate Method for Variable Selection
Difference measures for multivariate Gaussian probability
density functions
The Greatest Mathematician Since Antiquity
Inference, Goodness-of-Fit and Forecast for Univariate Gaussian
Hidden Markov Models
Collection of Functions for Gaussian Quadrature
Tabular Data Suppression using Gaussian Elimination
Multi-Trait Dissimilarity with more Uniform Contributions
Generalize Lambda Distribution and Generalized Bootstrapping
Generalized Beta Distribution of the Second Kind: Properties,
Likelihood, Estimation
Estimation of the Generalised Beta Distribution of the Second
Kind from Grouped Data
Gradient Boosting Algorithm for Predicting Methylation States
Generalized Beta and Beta Prime Distributions
Generalized Berk-Jones Test for Set-Based Inference in Genetic
Association Studies
Automated Boosted Regression Tree Modelling and Mapping Suite
Utilities for Processing Rd Objects and Files
Inference of Ploidy from (Genotyping-by-Sequencing) GBS Data
Hyperparameter Search for Gradient Boosted Trees
Utilities for Simulation, Plots, Quantile Functions and
Programming
A Data Manipulation and Analysis Package for Calcium Indicator
Data
Simple Peak Alignment for Gas-Chromatography Data
Graph-Based Two-Sample Tests for Categorical Data
'GPU'/CPU Benchmarking in Debian-Based Systems
GCC Estimation of the Multilevel Factor Model
The (Adaptive) LASSO and Elastic Net Penalized Least Squares,
Logistic Regression, Hybrid Huberized Support Vector Machines,
Squared Hinge Loss Support Vector Machines and Expectile
Regression using a Fast Generalized Coordinate Descent
Algorithm
Analysis of Geostatistical Count Data using Gaussian Copulas
Bayesian Meta-Analysis of Pleiotropic Effects Using Group
Structure
Implements Generic Composite Similarity Measure
Geographical Detectors for Assessing Spatial Factors
Datasets for the Book Graphical Data Analysis with R
Earth Observation Data Cubes from Satellite Image Collections
Bindings to the 'Geospatial Data Abstraction Library' Raster API
Wrappers for 'GDAL' Utilities Executables
Various R Programming Tools for Data Manipulation
Download, Slice, and Normalize GDELT V1 Event and Sentiment API
Data
Volumetric Analysis using Graphic Double Integration
Spatial Modeling of Infectious Diseases with Co-Variate Error
Inference for Infectious Disease Transmission in SIR Framework
Estimate Graph Dimension using Cross-Validated Eigenvalues
Distances and Routes on Geographical Grids
Gauss - Dantzig Selector: Aggregation over Random Models
Utilities for Graphical Rendering and Fonts Management
Analysis of Spatial Stratified Heterogeneity
IO for GAMS GDX Files using 'data.table'
Evaluate the Geboes Score for Histology in Ulcerative Colitis
Geographical Ecology and Conservation Knowledge Online
Adaptive Association Tests for Multiple Phenotypes using
Generalized Estimating Equations (GEE)
Solve Generalized Estimating Equations for Clustered Data
Bias-Corrected GEE for Cluster Randomized Trials
Marginal Proportional Hazards Mixture Cure Models with
Generalized Estimating Equations
Mediation Analysis for Generalized Linear Models Using the
Difference Method
Modified Variance Estimators for Generalized Estimating
Equations
Modified Generalized Estimating Equations for Binary Outcome
A Comprehensive Analysis of High Dimensional Longitudinal Data
Calculate Generalized Eigenvalues, the Generalized Schur
Decomposition and the Generalized Singular Value Decomposition
of a Matrix Pair with Lapack
Gene-Environment Interaction Analysis Incorporating Prior
Information
Best Linear Unbiased Prediction of Genotype-by-Environment
Metrics
Network Meta-Analysis Using Bayesian Methods
Generalized Two-Stage Designs for Phase II Single-Arm Studies
General Engine for Eco-Evolutionary Simulations
Genetic Algorithm and Particle Swarm Optimization
Classes and Methods to Use Genetic Algorithms for Feature
Selection
Analysis and Visualization Tools for Genetic Barcode Data
Clopper-Pearson Confidence Interval and Generalized Binomial
Distribution
Interacting with Roberts and Utych's (2019) Gendered Language
Dictionary
Predict Gender from Names Using Historical Data
Predict Gender from Brazilian First Names
This is a Collection of Functions to Analyse Gender Differences
Quantitative Analysis Tools for Gender Studies
Segmentation and Classification of Accelerometer Data
Identification of Periodically Expressed Genes
Easily Downloads a Gene Expression Dataset from a GEO Code and
Retrieves the Gene Symbols of Its Probesets
Gene Haplotype Statistics, Phenotype Association and
Visualization
A Pipeline to Define Gene Families in Legumes and Beyond
Non-Negative Matrix Factorization for Single-Cell Omics
Genetic Epidemiology Design and Inference
Population Genetic Data Analysis Using Genepop
Generalized Correlations, Causal Paths and Portfolio Selection
Goodness of Fit Tests for Logistic Regression Models
Test for Conditional Independence Based on the Generalized
Covariance Measure (GCM)
Credible Visualization for Two-Dimensional Projections of Data
Fully Parameterized Generalized Wendland Covariance Function
Blinder-Oaxaca Decomposition for Generalized Linear Model
Generate Data Containing Fake Personally Identifiable
Information
Common S3 Generics not Provided by Base R Methods Related to
Model Fitting
Estimate Gender from Names in Spanish and Portuguese
Simulation of Single Cell RNA-Seq Data with Complex Structure
'GeneSelectR' - Comprehensive Feature Selection Workflow for
Bulk RNAseq Datasets
Get Gene Sets for Gene Enrichment Analysis
Genome-Wide Association Study with SLOPE
Statistical Tools for the Analysis of Multi Environment
Agronomic Trials
Identify Favorable Subsets of Germplasm Collections
Spatial Graph-Theoretic Genetic Gravity Modelling
Generating Triangular and Trapezoidal Fuzzy Random Numbers via
Uniform Distribution
Fast, Robust, and Outlier Resistant Hierarchical Clustering
Project GENIE BioPharma Collaborative Data Processing Pipeline
Fast and Robust Hierarchical Clustering with Noise Points
Detection
Path Algorithm for Generalized Lasso Problems
Generalized Convergence Diagnostics for Difficult MCMC
Algorithms
Implements Generalized Meta-Analysis Using Iterated Reweighted
Least Squares Algorithm
Finding the DNA and Protein Sequences of Any Genomic or
Proteomic Loci
Methods for Analysing Forensic Ancestry Informative Markers
Models Dealing with Spatial Dependency in Genomic Data
Circular Genomic Permutation using Genome Wide Association
p-Values
Plot Publication-Grade Gene and Genome Maps
Genotype Imputation and Population Genomics Efficiently from
Variant Call Formatted (VCF) Files
Simulation of Discrete Random Variables with Given Correlation
Matrix and Marginal Distributions
A Genome-Wide Scan Statistic Framework for Whole-Genome Sequence
Data Analysis
Genotyping Triploids (or Diploids) from Luminescence Data
Pathmox Approach Segmentation Tree Analysis
Power Calculations Under Genetic Model Misspecification
Generalized Ridge Trace Plots for Ridge Regression
R Functions for Generalized Simulated Annealing
Predict Epidemic Curves with Generalized SEIR Modeling
Generates Data Sets for Class Demonstrations
Resampling Based Yield Stability Analyses
A Generalized Multiclass Support Vector Machine
R Shiny App for Creating Simplified Trial Summary (TS) Domain
Generalized Two Arms Clinical Trial Sample Size Calculation
Spline Based Window Boundaries for Genomic Analyses
Accounting for Random Displacements of True GPS Coordinates of
Data
Extension Types for Spatial Data for Use with 'Arrow'
Analysis of Geostatistical Data using Bayes and Empirical Bayes
Methods
Download Official Spatial Data Sets of Brazil
Causal Inference with Spatio-Temporal Data
Implementing Methods for Spatial Fuzzy Unsupervised
Classification
Mitigating Spatial Bias Through Geographical Complexity
Stratified Heterogeneity Measure, Dominant Driving Force
Detection, Interaction Relationship Investigation
Fast, Dependency-Free Geodesic Distance Calculations
Methods for Calculating Gradient Surface Metrics
Geospatial Semantic Segmentation with Torch and Terra
3D-Visualization of Geoelectric Resistivity Measurement Profiles
'ggplot2' Faceting Utilities for Geographical Data
Spatial Data Processing for Decision Making
Kriging Method for Spatial Functional Data
Ordinary Functional Kriging Using Fourier Smoothing and Gaussian
Quadrature
Select Sparse Geoadditive Models for Spatial Prediction
Generator from American Community Survey Geodatabases
Turn Geospatial Polygons into Regular or Hexagonal Grids
Download Geographic Data on Various Topics Provided and Managed
by the Spatial Data Infrastructure of Peru
Convert Data from and to 'GeoJSON' or 'TopoJSON'
Geographic Tools for Studying Gerrymandering
Data for Topographic and Geologic Mapping
Finds the Geometrical Archetypal Analysis of a Data Frame
Easily Visualize Geographic Data of Morocco
Tools for Reading and Writing ISO/OGC Geographic Metadata
Convert Between R Objects and Geometric Structures
Mesh Generation and Surface Tessellation
A Computer Program for Geotechnical Investigations
Procedures for Gaussian and Non Gaussian Geostatistical (Large)
Data Analysis
Geometric Morphometric Analyses of 2D and 3D Landmark Data
Multidimensional Queries Enriched with Geographic Data
Interface to the "Geonames" Spatial Query Web Service
Calculating Geographic Range from Occurrence Data
Robust Geostatistical Analysis of Spatial Data
Open Source Geometry Engine ('GEOS') R API
Smallest Enclosing Disc for Latitude and Longitude Points
Geostatistical Analysis and Design of Optimal Spatial Sampling
Networks
Spatio-Temporal Radial Basis Functions with Distance-Based
Methods (Optimization, Prediction and Cross Validation)
An Introduction to Statistics for Geoscientists
Geostatistical Modelling with Likelihood and Bayes
Simple Spatial Thinning for Ecological and Spatial Analysis
Tools to Improve the Use of Geostatistic
An R Plug-in for the Distributed Hydrological Model GEOtop
Methods for Handling and Analyzing Time Series of Satellite
Images
User-Friendly Interface for Geographically-Weighted Models
Google Encoded Polyline Algorithm Format
Generalised Exponential Poisson and Poisson Exponential
Distributions
Generalized Efficient Regression-Based Imputation with Latent
Processes
Preparer of Main Scientific References for Automatic Insertion
in Academic Papers
Indices and Graphics for Assess Seed Germination Process
Seed Germination Indices and Curve Fitting
Simulation, Visualization and Comparison of Tumor Evolution Data
Generalized Structured Component Analysis Structural Equation
Modeling
Reproducible Data Retrieval from the GESIS Data Archive
Hierarchical GxE Interactions in a Regularized Regression Model
Tools for Making and Combining Functions
Generalised Survival Trial Assessment Tool Environment
General Purpose G-Estimation for End of Study or Time-Varying
Outcomes
Fetching Tabular Data "Onload" in Compiled R Markdown HTML
Documents
Imports Datasets from BCB (Central Bank of Brazil) using Its
Official API
Generalized Extended Triangular Designs ('GETdesigns')
Reading Annual Financial Reports from Bovespa's DFP, FRE and FCA
System
Reading Annual and Quarterly Financial Reports from B3
Translating Coding Statements using get() and eval() for
Improved Run-Time Coding Efficiency
Reading FRE Corporate Data of Public Traded Companies from B3
Import and Process Data from the 'Lattes' Curriculum Platform
Reading Bibliometric Data from Lattes Platform
Quantifying Systematic Heterogeneity in Meta-Analysis
Parsing Command-Line Arguments and Simple Variable Interpolation
Fast and Cached Import of Data from 'Quandl' Using the 'json
API'
General-to-Specific (GETS) Modelling and Indicator Saturation
Methods
General-to-Specific Modelling of Panel Data
SPRE Statistics for Exploring Heterogeneity in Meta-Analysis
Get Data for Brazilian Bonds (Tesouro Direto)
Joint Test of Gene and GxE Interactions via Varying Coefficients
GEV Conditional Density Estimation Network
Tools for Working with Hansen et al. Global Forest Change
Dataset
General Hypothesis Testing Problems for Multivariate
Coefficients of Variation
Multiple RMST-Based Tests in General Factorial Designs
Multiple RMTL-Based Tests for Competing Risks Data in General
Factorial Designs
Tests for Survival Data in General Factorial Designs
Gross Flows Estimation under Complex Surveys
Generalized Fiducial Inference for Extremes
Generalized Fisher's Combination Tests Under Dependence
Generalized Fiducial Inference for Ultrahigh-Dimensional
Regression
Offline 'Google' Fonts for 'Markdown' and 'Shiny'
G-Formula for Causal Inference via Multiple Imputation
A 'ggplot2' Extension for Consistent Axis Alignment
Visualizing Sequence Alignment by Generating Publication-Ready
Plots
Extra Coordinate Systems, 'Geoms', Statistical Transformations,
Scales and Fonts for 'ggplot2'
Flexible Segment Geoms with Arrows for 'ggplot2'
Create Maps from a Column of Place Names
Categorical Scatter (Violin Point) Plots
A Grammar of Graphics Implementation of Biplots
Blending and Compositing Algebra for 'ggplot2'
Create Images of Volumetric Brain Data in NIfTI Format Using
'ggplot2' Syntax
Waffle Style Chart with a Brick Layout in 'ggplot2'
Mini Bubble Plots for Comparison of Discrete Data with 'ggplot2'
Combines Changepoint Analysis with 'ggplot2'
Shorten the Distance from Data Visualization Idea to Actual Plot
Gabriel Graph Based Large-Margin Classifiers
Implementation of Plots from Cleveland's Visualizing Data Book
Visualization of a Correlation Matrix using 'ggplot2'
Analyze and Create Elegant Directed Acyclic Graphs
Add Day/Night Patterns to 'ggplot2' Plots
'ggplot2' Extension for Seasonal and Trading Day Adjustment with
'RJDemetra'
Create Dendrograms and Tree Diagrams Using 'ggplot2'
Interpretable Bivariate Density Visualization with 'ggplot2'
Visualizations of Distributions and Uncertainty
Modern Graphs for Design of Experiments with 'ggplot2'
Interactive 'ggplot2' Layer and Theme Aesthetic Editor
Create Tidy Data Frames of Marginal Effects for 'ggplot' from
Model Outputs
Visualization Tools for Genealogical Data
Exploratory Symbolic Data Analysis with 'ggplot2'
Visualisation of High-Throughput Behavioural (i.e. Ethomics)
Data
Add Marginal Histograms to 'ggplot2', and More 'ggplot2'
Enhancements
Manage & Modify 'ggplot' Figures using 'ggfigdone'
Visualise and Calculate Life History Parameters for Fisheries
Science using 'ggplot2'
Dedicated 'ggplot2' Methods for 'fixest' Objects
Scales that Focus Specific Levels in your ggplot()
Formula Interface to the Grammar of Graphics
Data Visualization Tools for Statistical Analysis Results
Streamlined Creation of Segments on the Y-Axis of 'ggplot2'
Plots
A Grammar of Graphics for Comparative Genomics
Capture the Spirit of Your 'ggplot2' Calls
Create a Half Normal Plot Using 'ggplot2'
Compose Half-Half Plots Using Your Favourite Geoms
HDX Theme, Scales, and Other Conveniences for 'ggplot2'
A Fast 'ggplot2'-Based Implementation of Hilbert Curves
Graphics Layers for Plotting Image Data with 'ggplot2'
Visualise the Results of Inferential Statistics using 'ggplot2'
Explore the Innards of 'ggplot2' Objects
Data Visualization for IP Addresses and Networks
Make Interactive 'ggplot2'. Extension to 'ggplot2' and 'ggiraph'
Wearable Accelerometer Data File Readers
'ggplot2' Friendly Isotonic or Monotonic Regression Curves
Group Lasso Penalized Learning Using a Unified BMD Algorithm
Grammar of Graphics for Linear Model Diagnostic Plots
Plotting Lorenz Curve with the Blessing of 'ggplot2'
Graphical Markov Models with Mixed Graphs
Plot Columns of Two Matrices Against Each Other Using 'ggplot2'
Tools for Analyzing MCMC Simulations from Bayesian Inference
Visualizations for 'mice' with 'ggplot2'
Variable Selection in Linear Mixed Models for SNP Data
Gaussian Graphical Models with Nonconvex Regularization
Gaussian Graphical Models Using Ridge Penalty Followed by
Thresholding and Reestimation
Visualization of Multiple Genome-Wide Association Study Summary
Statistics
Create Muller Plots of Evolutionary Dynamics
Geometries to Plot Networks with 'ggplot2'
Multiple Fill and Colour Scales in 'ggplot2'
A 'ggplot2' Extension to Make Normal Violin Plots
Plot Data on Oceanographic Maps using 'ggplot2'
'Okabe-Ito' Scales for 'ggplot2' and 'ggraph'
Make 'ggplot2' Versions of Vegan's Ordiplots
Identify Individuals with Unusual Geo-Genetic Patterns
Package Plot Layers for Easier Portability and Modularization
Variations of Parallel Coordinate Plots for Categorical Data
'ggplot' Visualizations for the 'partykit' Package
Robust Image Rendering Support for 'ggplot2'
Publication-Ready PCA, t-SNE, and UMAP Plots
Parallel Coordinate Plots in the 'ggplot2' Framework
Easy Plotting of Periodic Data with 'ggplot2'
Make 'PICRUSt2' Output Analysis and Visualization Easier
Create Layout Plots of Biological Culture Plates and Microplates
Multiple Summary Statistics for Binned Stats/Geometries
Create Elegant Data Visualisations Using the Grammar of Graphics
'RStudio' Addin for Teaching and Learning 'ggplot2'
Create Ggplots via a Graphical User Interface
Convert Plot to 'grob' or 'ggplot' Object
Extra Convenience Functions for 'Plotly'
'ggplot2' Based Tool to Facilitate Diagnostic Plots for NLME
Models
A Cross Between a 2D Density Plot and a Scatter Plot
Additional Geometries and Stats for 'ggplot2'
Visualizing Social Science Data with 'ggplot2'
Dots and Their Connections in Polar Coordinate System
Polygons with Holes for the Grammar of Graphics
A 'ggplot2' Extension Inspired by 'GraphPad Prism'
Annotate Statistical Tests for 'ggplot2'
Compare Big Datasets to the Uniform Distribution
Quickly Explore Your Data Using 'ggplot2' and 'table1' Summary
Tables
An Implementation of Grammar of Graphics for Graphs and Networks
Allows Interactive Visualization of Data Through a Web Browser
GUI
Gaussian-Based Genome Representative Selector with
Prioritization
Draw Histograms and Restricted Cubic Splines (RCS)
Scales, Geometries, and Extensions of 'ggplot2' for Election
Mapping
Automatically Position Non-Overlapping Text Labels with
'ggplot2'
Panels and Interactive Versions of Diagnostic Plots using
'ggplot2'
Add Some Van Gogh Colors and Overlay Colors on Your 'ggplot()'
Create Sankey and Alluvial Diagrams Using 'ggplot2'
Scatter Plot Combined with Ridgelines in 'ggplot2'
Scientific Journal and Sci-Fi Themed Color Palettes for
'ggplot2'
Plotting Decision Curve Analysis with Coloured Bars
'stats' for Seasonal Adjustment on the Fly with 'ggplot2'
Tri-Surface Mesh Plots for Brain Atlases
Interactively Visualize Structural Equation Modeling Diagrams
A 'ggplot2' Extension for Drawing Publication-Ready Sequence
Logos
Visualising Output from Sequential Monte Carlo Samplers and
Ensemble-Based Methods
A 'ggplot2'-Plot of Composition of Solvency II SCR: SF and IM
New Data Visualisations for SOMs Networks
'ggplot2' Functions to Create Tufte Style Sparklines
Extensions to 'ggplot2' for Radiation Spectra
Multiple Geometric Shape Point Layer for 'ggplot2'
Extension to 'ggplot2' for Plotting Stats
'ggplot2' Based Plots with Statistical Details
Continuous Confidence Interval Plots using t-Distribution
Offers Various Swiss Maps as Data Frames and 'ggplot2' Objects
An Extension to 'ggplot2', for the Creation of Ternary Diagrams
Improved Text Rendering Support for 'ggplot2'
Extra Themes, Scales and Geoms for 'ggplot2'
A 'ggplot' Theme for University of Ljubljana
Create Tibbles and Lists of 'ggplot' Figures for Reporting
Post-Process 'ggplot2' Plots with 'TikZ' Code Using Plot
Coordinates
Time Series Visualisations Using the Grammar of Graphics
Trace and Highlight Groups of Data Points
Add Trendline and Confidence Interval to 'ggplot'
Create Sector and Other Charts Easily Using Grammar of Graphics
Combination Matrix Axis for 'ggplot2' to Create 'UpSet' Plots
A Natural Language Interface to 'ggplot2'
Quantifying Evolution and Selection on Complex Traits
Functional Conditional Independence Testing with the GHCM
Missing Data Segments Imputation in Multivariate Streams
The Knockoff Inference Using Summary Statistics
Graphical Horseshoe MCMC Sampler Using Data Augmented Block
Gibbs Sampler
Generalized Hyperbolic Distribution and Its Special Cases
Fit and Simulate Generalised Hypergeometric Ensembles of Graphs
Interface to the Computer Algebra System 'Giac'
Gene Set Uncertainty in Enrichment Analysis
An Alternative 'Rcpp' Wrapper of 'MeCab'
A General Iterative Clustering Algorithm
API Wrapper for the Natural Gas Transparency Platforms of Gas
Infrastructure Europe
Multivariate Analysis with Optimal Scaling
Access to the Global Inventory of Floras and Traits (GIFT)
Reads in 'Neuroimaging' 'GIFTI' Files with Geometry Information
GIFT Questions Format Generator from Dataframes
Group Inverse-Gamma Gamma Shrinkage for Sparse Regression with
Grouping Structure
Random Variate Generator for the GIG Distribution
Gillespie's Stochastic Simulation Algorithm (SSA)
Gillespie's Stochastic Simulation Algorithm for Impatient People
Group Iterative Multiple Model Estimation
Group Iterative Multiple Model Estimation with 'graphicalVAR'
Graphical Utilities for Visualizing and Exploring Data
Supplemental Tools for the 'gimme' R Package
A New Gini Correlation Between Quantitative and Qualitative
Variables
Gini Indices, Variances and Confidence Intervals for Finite and
Infinite Populations
Generalized Inverse Normal Distribution Density and Generation
Generalized Iterative Proportional Fitting for Relational Models
Gaussian Model Invariant by Permutation Symmetry
Download Map Data from GISCO API - Eurostat
Network Analysis on the Norwegian Road Network
Further Capabilities in Geographic Information Science
Store and Retrieve Data.frames in a Git Repository
Turn Your Git Commit Messages into a HTML Book
'Rstudio' Addin for Version Control and Assignment Management
using Git
Automated Git Commit Messages using the 'OpenAI' 'GPT' Model
A Helpful Way to Install R Packages Hosted on GitHub
Create Useful .gitignore Files for your Project
Add 'Git' Links to Your Web Based Assets
Data Version Control for the Targets Package
A Generalized Joint Location and Scale Framework for Association
Testing
g-and-k and g-and-h Distribution Functions
Gaines and Kuklinski (2011) Estimators for Hybrid Experiments
Accessing the Official 'Google Knowledge Graph' API
Generalized Kernel Regularized Least Squares
Generalized Additive and Linear Models (GLAM)
Penalization in Large Scale Generalized Linear Array Models
Generalized Linear Autoregressive Moving Average Models
Solve the Graphical Lasso Problem with 'Armadillo'
Variable Selection in Sparse GLARMA Models
Graphical Lasso: Estimation of Gaussian Graphical Models
General Linear Ballistic Accumulator Models
An R Package for Multiple-Group Latent Class Analysis
Calculate Textures from Grey-Level Co-Occurrence Matrices
(GLCMs)
Estimation and Use of the Generalised (Tukey) Lambda
Distribution
Fitting Single and Mixture of Generalised Lambda Distributions
Fit GLD Regression/Quantile/AFT Model to Data
Learning Interactions via Hierarchical Group-Lasso
Regularization
Phylogenetic Comparative Methods with Uncertainty Estimates
Generalized Linear Latent Variable Models
'C' and 'Java' Source Code Generator for Fitted Glm Objects
Predicted Values and Discrete Changes for Regression Models
An Adaptive Test on High Dimensional Parameters in Generalized
Linear Models
All Hierarchical or Graphical Models for Generalized Linear
Model
Fitting Generalized Linear Models Subject to Constraints
Generalized Linear Models for Categorical Responses
GLRT P-Values in Generalized Linear Models
Fit GLM with LEP-Based Penalized Maximum Likelihood
Generalized Linear Mixed Models via Monte Carlo Likelihood
Approximation
Hierarchical Partitioning of Marginal R2 for Generalized
Mixed-Effect Models
Generalized Linear Mixed Models using Adaptive Gaussian
Quadrature
Fit a Cosinor Model Using a Generalized Mixed Modeling Framework
Generalized Linear Mixed Model Analysis via Expectation
Propagation
Generalized Linear Mixed Models with Robust Random Fields for
Spatiotemporal Modeling
Generalized Linear Models Adjusting for Misrepresentation
Variable Selection for Generalized Linear Mixed Models by
L1-Penalized Estimation
Generalized Linear Models with Clustering
High Dimensional Penalized Generalized Linear Mixed Models
(pGLMM)
Approximate Optimal Experimental Designs Using Generalised
Linear Mixed Models
Generalized Linear Mixed Model (GLMM) for Binary Randomized
Response Data
Bayesian Model Selection for Generalized Linear Mixed Models
General Linear Mixed Models for Gene-Level Differential
Expression
Generalized Linear Mixed Models using Template Model Builder
Lasso and Elastic-Net Regularized Generalized Linear Models
Fit a Penalized Constrained Continuation Ratio Model for
Predicting an Ordinal Response
Nested Cross Validation for the Relaxed Lasso and Other Machine
Learning Models
Add Nonparametric Bootstrap SE to 'glmnet' for Selected
Coefficients (No Shrinkage)
Data and Code to Accompany Generalized Linear Models, 2nd
Edition
L1 Regularization Path for Generalized Linear Models and Cox
Proportional Hazards Model
Fit a Penalized Continuation Ratio Model for Predicting an
Ordinal Response
Dimension Reduction of Non-Normally Distributed Data
Permutation-Based Inference for Generalized Linear Models
Creates Ideal Data for Generalized Linear Models
Generalized Linear Models with Truncated Lasso Penalty
Set of Tools to Data Analysis using Generalized Linear Models
Transfer Learning under Regularized Generalized Linear Models
Model Selection and Multimodel Inference Made Easy
Variable Selection Deviation Measures and Instability Tests for
High-Dimensional Generalized Linear Models
A Collection of Graphic Tools for GLM Diagnostics and some
Extensions
Inhomogeneous K- And Pair Correlation Functions Using Global
Estimators
Generate Functions to Get or Set Global Options
Objective functions for benchmarking the performance of global
optimization algorithms
Identify Global Objects in R Expressions
Download and Measure Global Trends Through Google Search Volumes
Plot 2D and 3D Views of the Earth, Including Major Coastline
Estimating Functions with Multivariate B-Splines
Fitting and Testing Generalized Logistic Distributions
User-Friendly 'shiny' App for Bayesian Species Distribution
Models
Glossaries for Markdown and Quarto Documents
Language Mapping and Geospatial Analysis of Linguistic and
Cultural Data
Genome-Wide Association and Linkage Analysis under Heterogeneity
Generalized Least Squares with Measurement Error
Glucose Variability Measures from Continuous Glucose Monitoring
Data
Methods to Assess Generalized Latent Variable Model Fit
Genomic Mediation Analysis with Adaptive Confounding Adjustment
Distance and Travel Time Between Two Points from Google Maps
Fast Estimation of Gaussian Mixture Copula Models
Graph Based Multiple Comparison Procedures
Lightweight Graph Based Multiple Comparison Procedures
Accessing a Geometallurgical Database with R
Short Term Forecasting via GMDH-Type Neural Network Algorithms
Binary Classification via GMDH-Type Neural Network Algorithms
Geometric Median, k-Medians Clustering and Robust Median PCA
Generalized Multivariate Functional Additive Models
Inference and Clustering of Functional Data
Gaussian Mixture Graphical Model Learning and Inference
Descriptive Statistics, Transition Plots, and More
Unsupervised Gaussian Mixture and Minkowski and Spherical
K-Means with Constraints
Generalized Method of Moments and Generalized Empirical
Likelihood
Generalized Linear Mixed Model Association Tests
Likelihood-Based Boosting for Generalized Mixed Models
Multinomial Logit Models with Random Parameters
Various R Programming Tools for Model Fitting
Tools for 2D and 3D Plots of Single and Multi-Objective
Linear/Integer Programming Models
Datasets for the Book 'Getting (more out of) Graphics'
Multivariate Polynomials with Rational Coefficients
Generalised Management Strategy Evaluation Simulator
Generalized Mass Spectrum Missing Peaks Abundance Imputation
Interface Between GMT Map-Making Software and R
General Multiple Tests for Univariate and Multivariate
Functional Data
Estimate Gaussian and Student's t Mixture Vector Autoregressive
Models
Joint Models of Survival and Multivariate Longitudinal Data
Estimate Functional and Stochastic Parameters of Linear Models
with Correlated Residuals
Methods for Fitting Network Time Series Models
Computation of Generalized Nash Equilibria
Goodness of Fit Test for Continuous Distribution Functions
Estimate Natural Mortality for Different Life Stages
Various Non-Additive Models for Genetic Associations
Access the 'Geographic Name Resolution Service'
Read Data from Files Readable by 'gnumeric'
Weighted and Lexicographic Goal Programming Interface
Gene Set Analysis Using the Gene Set Ordinal Association Test
Comprehensive GO Terms Comparison Between Species
Functions for Community Data and Ordinations
Goodness-of-Fit Measures for Categorical Response Models
Goodness-of-Fit Methods for Complete and Right-Censored Data
Goodness of Fit Tests Based on Empirical Distribution Functions
Goodness-of-Fit Tests for Functional Data
Goodness-of-Fit Tests for the Gamma Distribution
Goodness-of-Fit Tests for the Inverse Gaussian Distribution
Testing Goodness-of-Fit with the Kernel Density Estimator
Khmaladze Martingale Transformation Goodness-of-Fit Test
Bootstrap-Based Goodness-of-Fit Tests for Parametric Regression
Interactive Document for Working with Goodness of Fit Analysis
Tests of Fit for some Probability Distributions
Classical Goodness-of-Fit Tests for Univariate Distributions
Generalized Orthogonal GARCH (GO-GARCH) Models
Statistical Network Models for Dynamic Network Data
A Framework for Robust Shiny Applications
Animate Text using the 'Animate.css' Library
Conducting Maximum Likelihood Estimation with Truncated
Mortality Data
Detection and Reconstruction of Muscle Fibers from diceCT Image
Data
Monte Carlo Goodness-of-Fit Tests for Stochastic Block Models
Association Analysis for Categorical Variables
Scrape and Analyze 'Goodreads' Book Data
Access to 'Google Ads' via the 'Windsor.ai' API
R Scripts in the Google Cloud via Cloud Run, Cloud Build and
Cloud Scheduler
Access to the 'Google Cloud Vision' API for Image Recognition,
OCR and Labeling
Send Error Reports to the Google Error Reporting Service API
Create Array Data from 2D Image Thumbnails via Google Image
Search
Retrieve Information from 'Google Knowledge Graph' API
Call Google's 'Natural Language' API, 'Cloud Translation' API,
'Cloud Speech' API and 'Cloud Text-to-Speech' API
An Interface to Google's Cloud Natural Language API
Encoding Coordinates into 'Google' Polylines
Working with Google's 'Public Data Explorer' DSPL Metadata Files
R Interface for Google 'Cloud Pub/Sub' REST API
Access Google Sheets using the Sheets API V4
Access the 'Google Tag Manager' API using R
Accesses Google Maps APIs to Retrieve Data and Plot Maps
Visualization of Functional Analysis Data
Algorithms for the Subject Graphs and Network Optimization
Fit Generalized Odds Rate Mixture Cure Model with Interval
Censored Data
Evaluation of Inequality Constrained Hypotheses Using GORICA
Tools for Data Analysis in Experimental Agriculture
Scroll Back to Top Icon in Shiny and R Markdown
Speed Limiter to Control Rate of Execution of Loops
functions to get public survey data in Japan
Bayesian Gower Agreement for Categorical Data
Structural Exploration of the Gene Ontology (GO) Knowledge Base
Maximum Likelihood Estimation of the Generalized Poisson
Distribution
Gaussian Processes for Pareto Front Estimation and Optimization
Derivative Free Gradient Projection Factor Rotation
Tools for Gaussian Process Modeling in Uncertainty
Quantification
Combining Tree-Boosting with Gaussian Process and Mixed Effects
Models
Comprehensive Statistical Analysis of Plant Breeding Experiments
Gaussian Processes for Estimating Causal Exposure Response
Curves
Differential Item Functioning in Generalized Partial Credit
Models
Gaussian Process Classification as Described in Bachoc et al.
(2020)
Gaussian Process for Functional Data Analysis
Solving Complex Game Problems using Gaussian Processes
Fast Gaussian Process Computation Using Vecchia's Approximation
Quantifying Group Performance in Individual Competitions
Utilities for the Open Geospatial Consortium 'GeoPackage' Format
Convert Chip ID of the GPL2015 into GeneBank Accession and
ENTREZID
General Purpose Gaussian Process Modelling
Generalized Partial Linear Models (GPLM)
Various R Programming Tools for Plotting Data
Generalized Partially Linear Tree-Based Regression Model
Gaussian Process Modeling of Multi-Response and Possibly Noisy
Datasets
Analysing and Plotting Genotype-Phenotype Maps
Gaussian Process Regression for Mortality Rates
Generalized Propensity Score Cumulative Distribution Function
Sequential Clustering Algorithm for Location Data
Gaussian Processes on Graphs and Lattices in 'Stan'
A Convenient R Interface with the OpenAI 'ChatGPT' API
Dividing Local Gaussian Processes for Online Learning Regression
Use Large Language Models Directly in your Development
Environment
Identify Text Written by Large Language Models using 'GPTZero'
Maximum Likelihood Estimation of Multiple Membership Mixed
Models Used in Value-Added Modeling
Process GPX Files into R Data Structures
Prediction of G Quadruplexes and Other Non-B DNA Motifs
Probability of Detection for Grab Sample Selection
Granularity-Based Spatially Variable Genes Identifications
Graph-Constrained Estimation and Hypothesis Tests
Helps Grade Assignment Submissions that are R Scripts
Stochastic Quasi-Gradient Differential Evolution Optimization
Interactive Color Gradient Picker Using 'htmlwidgets' and the
Modified JS Script 'jquery-gradient-picker'
Easy Graphs for Data Visualisation and Linear Models for ANOVA
Supervised Machine Learning for Textual Data Using Transformers
and 'Quanteda'
Landscape Connectivity, Habitat, and Protected Area Networks
Guidelines for Reporting About Network Data
Comprehensive Analysis of Nucleotide Conversion Sequencing Data
Inference on Granger-Causality in the Frequency Domain
Graphical Analysis of Variance Using ggplot2
Gene-Ranking Analysis of Pathway Expression
Collection of Shiny Apps for Agricultural Research Data Analysis
A Wrapper of the JavaScript Library 'vis-graph3d'
Build Graphs for Landscape Genetics Analysis
Hierarchical Graph Clustering for a Collection of Networks
A Multi-Platform GUI for Drawing Customizable Graphs in R
An R Interface to the 'GraphHopper' Directions API
Statistical Methodology for Graphical Extreme Value Models
Graphical VAR for Experience Sampling Data
Additional Layout Algorithms for Network Visualizations
A Collection of Graphon Estimation Methods
Estimating and Displaying Population Attributable Fractions
Simulate Expression Data from 'igraph' Networks
Graceful 'ggplot'-Based Graphics and Other Functions for GAMs
Fitted Using 'mgcv'
Generating Time Series with Diverse and Controllable
Characteristics
Inflators for Australian Policy Analysis
Bayes Nets: 'RHugin' Emulation with 'gRain'
Explore Probability Distributions for Bivariate Temporal
Granularities
Gravitational and Magnetic Attraction of 3-D Vertical
Rectangular Prisms
Inference in Graphical Gaussian Models with Edge and Vertex
Symmetries
Parameter Inference and Optimal Designs for Grouped and/or
Right-Censored Count Data
Modified Poisson Regression of Grouped and Right-Censored Counts
Gene Registration from Expression and Time-Courses in R
Gradient-Based Recognition of Spatial Patterns in Environmental
Data
Clustering and Model Selection with the Integrated
Classification Likelihood
Routines for Writing Greek Letters and Mathematical Symbols on
the 'RStudio' and 'RGui'
Sensitivities of Prices of Financial Options and Implied
Volatilities
Combine Categories Using Greenacre's Method
Run 'Stan' Models to Interpret Green Crab Monitoring Assessments
Geospatial Regression Equation for European Nutrient Losses
(GREEN)
Gregory Weights for Function Integration
Graph-Based k-Sample Comparisons and Relevance Analysis in High
Dimensions
Mixed-Effects REML Incorporating Generalized Inverses
Simple and Scalable Statistical Modelling in R
Modelling Structured Dynamical Systems in 'greta'
Generalized Path Analysis for Social Networks
A Seamless Integration of 'Gretl' and 'R'
Gene ID Mapping for Genotype-Tissue Expression (GTEx) Data
Toolbox for Model Building and Forecasting
Detection of Grey Zones in Two-Way Inter-Rater Agreement Tables
Bivariate Copula Functions Based on Regular Grid
Miscellaneous Functions for "Grid" Graphics
Redraw Base Graphics Using 'grid' Graphics
Cluster-Preserving Multivariate Joint Grid Discretization
Approximate Optimal Transport Between Two-Dimensional Grids
A Simulation Tool to Determine the Required Sample Size for
Repertory Grid Studies
Improved Text Rendering Support for 'Grid' Graphics
Calculate Optical Parameters from Spindle Stage Measurements
Bayesian Inference for A|B and Bandit Marketing Tests
Genetic-Relationship-Matrix Structural Equation Modelling
(GRMSEM)
General Regression Neural Networks Package
Creating Flexible, Reproducible 'PDF' Reports
Generalized Regression on Orthogonal Components
Gromov-Hausdorff Type Distances for Labeled Metric Spaces
A Coding Assistant using the Fast AI Inference 'Groq'
Version-Control for CRAN, GitHub, and GitLab Packages
Inferring Group Bayesian Networks using Hierarchical Feature
Clustering
Efficient Estimation of Grouped Survival Models Using the Exact
Likelihood Function
'Grouphmap' is an Automated One-Step Common Analysis of Batch
Expression Profile
Independent Component Analysis for Grouped Data
Group Response Adaptive Randomization for Clinical Trials
Group Sequential Design Probabilities - With Graphical User
Interface
Multiple Testing Procedure for Grouped Hypotheses
Simulating and Modeling Group (Pooled) Testing Data
Grouped Weighted Quantile Sum Regression
Wavelet Functional ANOVA Through Markov Groves
Bayesian Non-Parametric Dependent Models for Time-Indexed
Functional Data
Implementation of the Vegetation Model ModVege
Multivariate Normal and Elliptically-Contoured Repeated
Measurements Models
Data Cleaner for Anthropometric Measurements
Simple Metrics to Summarize Growth Curves
Functional Analysis of Phenotypic Growth Data to Smooth and
Extract Traits
Bayesian reconstruction of growth velocity
Estimate Growth Rates from Experimental Data
Penalized Cox Model for High-Dimensional Data with Grouped
Predictors
Graphviz Pipeline Plot Based on Grids (grPipe: Graphviz
Pipeline)
Fitting User-Specified Models with Group Lasso Penalty
Group Elastic Net Regularized GLMs and GAMs
Regularization Paths for Regression Models with Grouped
Covariates
Group Sequential Analysis of Clinical Trials
Patterns and Statistical Differences Between Two Groups of
Strings
Alternative Implementations of Base R Functions
GRS Test for Portfolio Efficiency, Its Statistical Power
Analysis, and Optimal Significance Level Calculation
Testing Gene-Environment Interactions Through Genetic Risk
Scores
Tools for the Analysis of Gutenberg-Richter Distributions of
Earthquake Magnitudes
River Hydrograph Separation and Analysis
Gene Set Analysis with Fisher Combined Method
Two Functions for Generalized SARIMA Time Series Simulation
Estimate Parameters in the Generalized SBM
Generalized Structure Component Analysis- Latent Class Analysis
& Latent Class Regression
Group Sequential Designs with Negative Binomial Outcomes
Simulating Admixed Genotypes Without Replacement
Group Sequential Design with Non-Constant Effect
Robust Estimation in the Presence of Cellwise and Casewise
Contamination and Missing Data
Implement for 'GSEA' Enrichment Visualization
Download Google Sheets Using Just the URL
High Efficient Functions to Decode NFL Player IDs
GSL Multi-Start Nonlinear Least-Squares Fitting
Global Sea Level and Oxygen Isotope Data
Group Sequential Designs of Multi-Arm Multi-Stage Trials
Global Surface Summary of the Day ('GSOD') Weather Data Client
Base Class and Methods for 'gson' Format
Generalized Supervised Principal Component Regression
Group Sequential Refined Secondary Boundary
Progression Analysis of Disease with Survival using Topological
Data Analysis
Spatial and Spatio-Temporal Geostatistical Modelling, Prediction
and Simulation
Graph-Based Sequential Change-Point Detection for Streaming Data
Utilities for Strings and Function Arguments
Estimation of the Generalized Symmetry Point, an Optimal
Cutpoint in Continuous Diagnostic Tests
Easily Create Presentation-Ready Display Tables
Generalizability Theory for Information Retrieval Evaluation
The Generalized Time-Dependent Logistic Family
Extending 'gt' for Beautiful HTML Tables
Generalized Application of Co-Occurrence Matrices and Haralick
Texture
Converting Transport Data from GTFS Format to GPS-Like Records
Read and Write General Transit Feed Specification (GTFS) Files
Routing with 'GTFS' (General Transit Feed Specification) Data
General Transit Feed Specification (GTFS) Editing and Analysing
Tools
Perform and Display Google Trends Queries
Presentation-Ready Data Summary and Analytic Result Tables
Genome and Transcriptome Wide Association Study
Nombres Inscritos en Chile (1920 - 2021)
Access 'The Guardian' Newspaper Open Data API
Bayesian Modal Regression Based on the GUD Family
Maps, Data and Methods Related to Guerry (1833) "Moral
Statistics of France"
Real-Time PCR Data Sets by Guescini et al. (2008)
Adjust Estimates of Learning for Guessing
Graphical Models in Ultrahigh-Dimensional and Error-Prone Data
via Boosting Algorithm
Supervised Dimensional Reduction by Guided Partial Least Squares
Implementation of Sampling Formulas for the Unified Neutral
Model of Biodiversity and Biogeography, with or without Guild
Structure
Bootstrap Analyses of Sampling Uncertainty in Goodness-of-Fit
Statistics
Generalized UniFrac Distances, Distance-Based Multivariate
Methods and Feature-Based Univariate Methods for Microbiome
Data Analysis
Statistical Analysis of Monthly Background Checks of Gun
Purchases
A User-Oriented Statistical Toolkit for Analytical Variance
Estimation
Download and Process Public Domain Works from Project Gutenberg
Fast Calculation of the Likelihood of a Stochastic Survival
Model
Perform Global Vector Autoregression Estimation and Inference
Global Validation of Linear Models Assumptions
Interactive Exploratory Data Analysis Tool
Manhattan, Q-Q, and PCA Plots using 'ggplot2'
Identifying Significant SNPs in Genome Wide Association Studies
(GWAS) via Clustering
Exact Hardy-Weinburg Testing for Genome Wide Association Studies
Non-Local Prior Based Iterative Variable Selection Tool for
Genome-Wide Association Studies
Comprehensive and Easy to Use Quality Control of GWAS Results
'REST' 'API' Client for the 'NHGRI'-'EBI' 'GWAS' Catalog
Multi-Site Stochastic Models for Daily Precipitation and
Temperature
Count and Continuous Generalized Variability Indexes
Rewrite of gWidgets API for Simplified GUI Construction
Toolkit Implementation of gWidgets2 for tcltk
Geographically Weighted Logistic Elastic Net Regression
Geographically Weighted Non-Negative Principal Components
Analysis
Geographically Weighted Partial Correlation Coefficient
Geographically Weighted Partial Correlation Mapper
Generalized Weighted Quantile Sum Regression
A Hybrid Model for Spatial Prediction Through Local Regression
Generalized Waring Regression Model for Count Data
Fits Geographically Weighted Regression Models with Diagnostic
Tools
GroundWater Spatiotemporal Data Analysis Tool (GWSDAT)
Estimating Genome-Wide Significance for Whole Genome Sequencing
Studies, Either Single SNP Tests or Region-Based Tests
Geographically Weighted Zero Inflated Negative Binomial
Regression
Genotype-by-Environment Interaction in Polygenic Score Models
Run GWAS/GWEIS Scans Using Binary Dosage Files
A Robust Bayesian Meta-Analysis for Estimating the Hubble
Constant via Time Delay Cosmography
R Interface for the 'H2O' Scalable Machine Learning Platform
Machine Learning Model Evaluation for 'h2o' Package
Sample Size Calculation in Hierarchical 2x2 Factorial Trials
Exposes the 'Uber' 'H3' Library to R Packages
Hexagonal Hierarchical Geospatial Indexing System
Software to Perform Haar Fisz Transforms
Detecting Spatial Clustering Based on Connection Cost Between
Grids
Tools and Metrics for 3D Surfaces and Objects
Estimation, Simulation and Visualization of Hierarchical
Archimedean Copulae (HAC)
Wrapper for the 'Official Hacker News' API
Additional Tools for Splitting and Cleaning Data
A Tidy Framework to Hack Gene Expression Signatures
Iterative Extrapolation of Species' Haplotype Accumulation
Curves for Genetic Diversity Assessment
Analysis and Visualisation of Hydrogen/Deuterium Exchange Mass
Spectrometry Data
Incomplete Block Designs using Hadamard Matrix (HadIBDs)
Analysis of Plant Pathogen Pathotype Complexities, Distributions
and Diversity
Haplotype-Aware Hidden Markov Model for RNA
Authenticated HTTP Request Client for the 'Hakai' API
Highly Adaptive Lasso Conditional Density Estimation
Methods to Create Hierarchical Age Length Keys for Age
Assignment
Hierarchical Optimal Matching and Machine Learning Toolbox
A 'shiny' Application for Handwriting Analysis
Handwriting Analysis with Random Forests
Useful Functions for Handfully Manipulating and Analyzing Data
with Data.frame Format
Package for Easy Interpretation of Statistical Methods
Inference of Trait Associations with SNP Haplotypes and Other
Attributes using the EM Algorithm
Inference of Chromosome-Length Haplotypes Using Genomic Data of
Single Gamete Cells
Analyzing Case-Parent Triad and/or Case-Control Data with SNP
Haplotypes
Estimate Haplotype Relative Risks in Case-Control Data
Statistical Analysis of Haplotypes with Traits and Covariates
when Linkage Phase is Ambiguous
Tool for Clustering Genotypes in Haplotypes
Manipulating DNA Sequences and Estimating Unambiguous Haplotype
Network with Statistical Parsimony
A Unified Time Series Event Detection Framework
Statistical Tests and Graphics for Hardy-Weinberg Equilibrium
Harmonic Mean p-Values and Model Averaging by Mean Maximum
Likelihood
Fast, Sensitive, and Accurate Integration of Single Cell Data
Wrangle Phylogenetic Distance Matrices and Other Utilities
Palettes Generated from All "Harry Potter" Movies
Full Featured Implementation of Hash Tables/Associative
Arrays/Dictionaries
Generate Short Unique YouTube-Like IDs (Hashes) from Integers
A Test for Comparing the Predictive Accuracy of Two Sets of
Forecasts
Import and Export 'SPSS', 'Stata' and 'SAS' Files
Hawkes process simulation and calibration toolkit
Estimation of Hawkes Processes from Binned Observations
Conditional Treatment Effect for Competing Risks
Identifying Foggy and Cloudy Images by Quantifying Haziness
Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan'
Hierarchical Bayesian Modeling of Decision-Making Tasks
Hierarchical Bayesian Benefit-Risk Assessment Using Discrete
Choice Experiment
Hill/Bliss Independence Model for Combination Vaccines
Hierarchical Bayesian Analysis of Recognition Memory
Hierarchical Bayesian Small Area Estimation
Hierarchical Bayesian Space-Time Models for Gaussian Space-Time
Data
Interval Estimation of Linear Models with Heteroskedasticity
Hierarchical Community Detection by Recursive Partitioning
Design and Analysis of Hierarchical Composite Endpoints
Hierarchical Clustering of Univariate (1d) Data
Regression with a Large Number of Potential Explanatory
Variables
Causal Discovery from Discrete Data using Hidden Compact
Representation
Calculates Significance Criteria and Power for a Single Arm
Trial
Group Sequential Design for Historical Control Trial with
Survival Outcome
Using Historical Controls for Designing Phase II Clinical Trials
'REST' API Client for Accessing Data on 'WEkEO HDA V2'
Bayesian Analysis of Generalized Linear Models with Historical
Data
Bayesian Change Point Detection for High-Dimensional Data
Change-Point Analysis of High-Dimensional Time Series via Binary
Segmentation
Bayesian Mediation Analysis with High-Dimensional Data
High Dimensional Bayesian Ridge Regression without MCMC
Estimation of Conditional Average Treatment Effects with
High-Dimensional Data
High Dimensional Confidence Interval Based on Lasso and
Bootstrap
High Dimensional Supervised Classification and Clustering
Clustering High Dimensional Data with Hidden Markov Model on
Variable Blocks
Detect Change Points in Means of High Dimensional Data
Penalized Mixture Cure Models for High-Dimensional Data
Easy Manipulation of Out of Memory Data Sets
Sample Size Calculation for High Dimensional Classification
Study
Use Known Groups in High-Dimensional Data to Derive Scores for
Plots
Interface to the 'HDF5' Binary Data Format
Tests for High Dimensional Generalized Linear Models
A Batch Process for High Dimensional Imputation
Statistical Inference for Noisy Vector Autoregression
Distribution-Free Exact High Dimensional Low Sample Size
k-Sample Tests
ADMM for High-Dimensional Mediation Models
High-Dimensional Regression with Measurement Error
Methods for Mediation Analysis with High-Dimensional Mediators
A Multiple Testing Procedure for High-Dimensional Mediation
Hypotheses
Benchmarking and Visualization Toolkit for Penalized Cox Models
High-Dimensional Location Testing with Normal-Reference
Approaches
High-Dimensional Orthogonal Maximin Distance Designs
Leland Wilkinson's Algorithm for Detecting Multidimensional
Outliers
Principal Component Analysis in High-Dimensional Data
Hierarchical Dirichlet Process Generalized Linear Models
Highest Density Regions and Conditional Density Estimation
Data for the 'Mastering Health Data Science Using R' Online
Textbook
Multivariate and Functional Spatial Scan Statistics
High Dimensional Stimulation Immune Mapping ('HDStIM')
High Dimensional Time Series Analysis Tools
The Lasso for Tweedie's Compound Poisson Model Using an IRLS-BMD
Algorithm
Analysis of Hydrogen-Deuterium Exchange Mass-Spectrometry Data
Compose Sentences to Describe Comparisons
Explore and Import 'Metopio' Health Atlas Data and Spatial
Layers
Compute Summary Measures of Health Inequality
Financial Projections and Planning for Health Care Practices
The Machine Learning and AI Modeling Companion to 'healthyR'
The Time Series Modeling Companion to 'healthyR'
Easily Install and Load the 'healthyverse'
Easily Download Heaps of PDF and CSV Files
Heat exchange calculations during physical activity
Fit Statistic for Binary Dependent Variable Models
Interactive Cluster Heat Maps Using 'plotly' and 'ggplot2'
Fit Normal, Student-t or Contaminated Normal Heckman Selection
Models
Estimation and Inference for Heckman Selection Models with
Cluster-Robust Variance
An Implementation of the Hedged Random Forest Algorithm
Markov Models for Health Economic Evaluations
Decode and Validate HEIMS Data from Department of Education,
Australia
Score and Plot the Healthy Eating Index from NHANES Data
Providing 'stringsAsFactors=FALSE' Variants of 'data.frame()'
and 'as.data.frame()'
Minimal Examples of Using Rust Code in R
Tools for Environmental Analyses, Ecotoxicology and Various R
Functions
Hierarchical Ensemble Methods for Directed Acyclic Graphs
Visualizing Hypothesis Tests in Multivariate Linear Models
'sf'-Based Interface to the 'HERE' REST APIs
Marker-Based Estimation of Heritability Using Individual Plant
or Plot Data
Heritability of Gene Expression for Next-Generation Sequencing
Efficient Sequential and Batch Estimation of Univariate and
Bivariate Probability Density Functions and Cumulative
Distribution Functions along with Quantiles (Univariate) and
Nonparametric Correlation (Bivariate)
Health Economic Simulation Modeling and Decision Analysis
Test of No Main and/or Interaction Effects in Functional Data
Semi-Parametric Estimation with Gaussian Copula
Spatial Functions for Heterogeneity and Climate Variability
Gaussian Graphical Model-Based Heterogeneity Analysis
Convert Various Meta-Analysis Heterogeneity Measures
Copula Graphical Models for Heterogeneous Mixed Data
Heteroskedastic Gaussian Process Modeling and Design under
Replication
MLE and Bayesian Estimation of Heteroskedastic Ordered Probit
(HETOP) Model
Assessing Heterogeneity in the Utility of a Surrogate Marker
Assessing Heterogeneity in Surrogacy Using Censored Data
Testing for a Treatment Effect Using a Heterogeneous Surrogate
Marker
Heterogeneous Treatment Effects in Regression Analysis
Fisherian and Neymanian Methods for Detecting and Measuring
Treatment Effect Variation
Structural Handling of Finnish Personal Identity Codes
Heuristic Capacitated Vehicle Routing Problem Solver
Heuristics Including Take the Best and Unit-Weight Linear
Discovery of Process Models with the Heuristics Miner
Fast Kernel Density Estimation with Hexagonal Grid
Integrated Tool for Hairping Extraction of RNA Sequences
Estimate Hierarchical Feature Regression Models
Holonomic Gradient Method and Gradient Descent
Heterogeneous Graphical Model for Non-Negative Data
Download and Import the HUGO Gene Nomenclature Committee
('HGNC') Data Set into R
Identify and Correct Invalid HGNC Human Gene Symbols and MGI
Mouse Gene Symbols
Hierarchical and Geographically Weighted Regression
Statistical Analysis and Data Display: Heiberger and Holland
Age-Structured Spatio-Temporal Models for Infectious Disease
Counts
Calculate and Visualize the Herfindahl-Hirschman Index
Hierarchical Heterogeneity Analysis via Penalization
Hidden Hybrid Markov/Semi-Markov Model Fitting
The Hilbert-Huang Transform: Tools and Methods
Individual-Level, Summary-Level and Single-Step Bayesian
Regression Model
The All-Configurations, Maximum-Interaction F-Test for Hidden
Additivity
Create HIDECAN Plots for Visualising Genome-Wide Association
Studies and Differential Expression Results
Calculate Clinical Scores for Hidradenitis Suppurativa (HS), a
Dermatologic Disease
Set Data Visualization Using Hierarchies
Estimation and Tests of Hierarchical F-Statistics
Hierarchical Risk Clustering Portfolio Allocation Strategies
Nonnegative Garrote Method Incorporating Hierarchical
Relationships
High-Dimensional Tests for Two Population Mean Vectors
Testing Two-Sample Mean in High Dimension
Implementation of Voting Rules Electing the Candidate with
Highest Median Grade
Code Syntax Highlighting using the 'Prism.js' Library
Highlight Conserved Edits Across Versions of a Document
Two-Sample Tests for High-Dimensional Mean Vectors
Feature Selection for High Dimensional Survival Data
Design of High-Order Portfolios Including Skewness and Kurtosis
Determining and Evaluating High-Risk Zones
Simultaneous Critical Values for t-Tests in Very High Dimensions
Statistical Inference for Online Learning and Stochastic
Approximation via HiGrad
Hilbert Similarity Index for High Dimensional Data
Integral Analysis of Diversity Based on Hill Numbers
Create Hillshade Relief Maps Using Ray-Tracing
High Mach Finds Routes for Supersonic Aircraft
Simulating the Development of h-Index Values
H-Index Calculator using Data from a Web of Science (WoS)
Citation Report
Tools for Hypothesis Testing Based on Hypergeometric
Intersection Distributions
Parentage Assignment using Bi-Allelic Genetic Markers
Non-Targeted Fluxomics on High-Resolution Mass-Spectrometry Data
Hierarchical Item Response Theory Models
Summary Statistics for Histogram/Count Data
Data Sets from the History of Statistics and Data Visualization
Construction of Regular and Irregular Histograms with Different
Options for Automatic Choice of Bins
Non-Longitudinal Bayesian Historical Borrowing Models
Longitudinal Bayesian Historical Borrowing Models
"Hit and Run" and "Shake and Bake" for Sampling Uniformly from
Convex Shapes
Six-Year Chronological Data of HIV and ART Cases in Pakistan
Hierarchical Joint Analysis of Marginal Summary Statistics
Conversion Tools for HK80 Geographical Coordinate System
Spatial Extreme Value Analysis with the Hierarchical Model of
Reich and Shaby (2012)
Apps and Data for the Book "Introduction to Statistics"
Diagnostic Tools for Hierarchical (Multilevel) Linear Models
High Dimensional Mean Comparison with Projection and
Cross-Fitting
Hidden Markov Cognitive Diagnosis Models for Learning
Fit Statistical Models Using Hamiltonian Monte Carlo
Read Human Mortality Database and Human Fertility Database Data
from the Web
The H-Measure and Other Scalar Classification Performance
Metrics
Hidden Markov Model for Predicting Time Sequences with Mixture
Sampling
Hidden Markov Models with Discrete Non-Parametric Observation
Distributions
Markov Regime Switching Copula Models Estimation and
Goodness-of-Fit
A Fast Solver for Henderson Mixed Model Equation via Row
Operations
Determine the Number of States in Hidden Markov Models via
Marginal Likelihood
Analysing Accelerometer Data Using Hidden Markov Models
"Mixture and Hidden Markov Models with R" Datasets and Example
Code
Hidden Markov Models for Reliability and Maintenance
Fit Hidden Markov Models using Template Model Builder
Hypothesis Testing and Power Calculations for Comparing
Metagenomic Samples from HMP
Statistical Object Oriented Data Analysis of RDP-Based Taxonomic
Trees from Human Microbiome Data
Flux Estimation with Static Chamber Data
Hierarchical Model of Species Communities
Health Metrics and the Spread of Infectious Diseases
Half-Normal Plots with Simulation Envelopes
Collect and Retrieve Annotation Data for Various Genomic Data
Using Different Webservices
Higher Order Assortativity for Complex Networks
Download and Visualize Essential Climate Change Data
Higher Order Likelihood Inference Web Applications
Statistics for Holland's Theory of Vocational Choice
Chat Completion and Text Annotation with Local and OpenAI Models
A Tidy Interface for Simulating Multivariate Data
An User-Friendly R 'shiny' Application for Multi-Omics Data
Integration and Analysis
Methods for Closed Testing with Simes Inequality, in Particular
Hommel's Method
Quick Access to Homologene and Gene Annotation Updates
BFV, BGV, CKKS Schema for Fully Homomorphic Encryption
Robust Inference in Difference-in-Differences and Event Study
Designs
Access Men's Basketball Play by Play Data
Transmissions and Receptions in a Hop by Hop Network
Hierarchical Ordered Probit Models with Application to Reporting
Heterogeneity
Calculate Hopkins Statistic for Clustering
Supplemental Functions and Datasets for "Handbook of Regression
Methods"
Horn's (1965) Test to Determine the Number of Components/Factors
Nonlinear Regression using Horseshoe Prior
Building Networks of Hospitals Through Patients Transfers
Hotelling’s T-Squared Statistic and Ellipse
CSS Animations for 'shiny' Button Elements
Calculate How many Imputations are Needed for Multiple
Imputation
High Performance Cluster Models Based on Kiefer-Wolfowitz
Recursion
The One- And Two-Sided Hodrick-Prescott Filter
High-Probability Lower Bounds for the Total Variance Distance
Superefficient Estimation of Future Conditional Hazards Based on
Marker Information
Miscellaneous Convenience Functions and Dataset
Regularization Paths for Lasso or Elastic-Net Penalized Huber
Loss Regression and Quantile Regression
Toolkit for Data Analytics in Human Resources
Additional Themes, Theme Components and Utilities for 'ggplot2'
Nonparametric Assessment Between Competing Risks Hazard Ratios
Group Variable Selection for Quantile and Robust Mean Regression
Half Replicate of Two Level Factorial Run Order with Minimum
Level Changes
Datasets, Functions and Scripts for Semiparametric Regression
Supporting Harezlak, Ruppert & Wand (2018)
A Handbook of Statistical Analyses Using R (1st Edition)
A Handbook of Statistical Analyses Using R (2nd Edition)
A Handbook of Statistical Analyses Using R (3rd Edition)
Calculation of Covariance Between Markers for Half-Sib Families
Homogeneity and Sparsity Detection Incorporating Prior
Constraint Information
Hierarchical Bayesian Species Distribution Models
Sets of Numbers Implemented with Hash Tables
Phasing, Pedigree Reconstruction, Sire Imputation and
Recombination Events Identification of Half-sib Families Using
SNP Data
Hidden Smooth Polynomial Regression for Rupture Detection
Estimation of Recombination Rate and Maternal LD in Half-Sibs
Hierarchical Shrinkage Stan Models for Biomarker Selection
Reweighted Marginal Hypothesis Tests for Clustered Data
Causal Inference with Tree-Based Machine Learning Algorithms
Bayesian Logistic Regression with Heavy-Tailed Priors
Convert 'HTML' to 'R' with a 'Shiny' App
Simple Scraping and Tidy Webpage Summaries
Facilitates Automated HTML Report Creation
Analysis of Surface Plasmon Resonance Data
Haplotype Trend Regression with eXtra Flexibility (HTRX)
Clustering High-Throughput Transcriptome Sequencing (HTS) Data
Fitting of Hydrotime Model for Seed Germination Time Course
High Throughput Sequencing of Stable Isotope Probing Data
Analysis
Report Errors in Web Applications with 'Problem Details' (RFC
7807)
Perform HTTP Requests and Process the Responses
Get Data from the French National Database on Water 'Hub'Eau'
Ensemble Methods for Combining Hub Model Outputs
Providing Data from the US Department of Housing and Urban
Development
Distinct Colour Palettes Based on 'iwanthue'
Compute HUM Value and Visualize ROC Curves
Calculate Water Vapor Measures from Temperature and Dew Point
High-Performance Stemmer, Tokenizer, and Spell Checker
Zero-Inflated and Hurdle Modelling Using Bayesian Inference
Models Hurricane Wind Speed, Wind Direction, and Wind Damage
Explore and Map County-Level Hurricane Exposure in the United
States
Easily Create and Style Tables for LaTeX, HTML and Other Formats
Constructing Hierarchical Voronoi Tessellations and Overlay
Heatmaps for Data Analysis
Models and Tests for Departure from Hardy-Weinberg Equilibrium
and Independence Between Loci
Objective Bayesian Testing for the Hardy-Weinberg Equilibrium
Problem
HTML Writer - Outputs R Objects in HTML Format
Hybrid Design for Phase I Dose-Finding Studies
Analysis of Host-Associated Microbiomes from Hybrid Organisms
An R Package for the Stochastic Simulation of Disease Spreading
in Dynamic Networks
Function that Creates a Heat Map from Hybridization Data
Hybrid Time Series Forecasting Using Error Remodeling Approach
1d Water Level Interpolation along the Rivers Elbe and Rhine
Flood Extents and Duration along the Rivers Elbe and Rhine
Duration Curve Hydrological Model Indexes
Extract Event Statistics in Hydrologic Time Series
Groundwater Data Presentation and Interpretation
Goodness-of-Fit Functions for Comparison of Simulated and
Observed Hydrological Time Series
Estimating Water Retention and Infiltration Model Parameters
using Experimental Data
Detect and Characterize Sub-Daily Flow Fluctuations
Hydrologic Indices for Daily Time Series Data
Hydrological Tools for Handling Hydro-Meteorological Data
Records
Hydrological Tools for Handling Hydro-Meteorological Data from
Argentina and Chile
Time Series Management and Analysis for Hydrological Modelling
Hydrologic Model Evaluation and Time-Series Tools
N-Dimensional Hyperplane Fitting with Errors
Machine Learning of Hyperrectangular Gating Strategies for
High-Dimensional Cytometry
Generalized Hypergeometric Function with Tunable High Precision
Hypergeometric Function of a Matrix Argument
Overlap Detection in n-Dimensional Space
Attribute Sampling Plan with Exact Hypergeometric Probabilities
using Chebyshev Polynomials
Work with Hyperspectral Data, i.e. Spectra + Meta Information
(Spatial, Time, Concentration, ...)
High Dimensional Geometry, Set Operations, Projection, and
Inference Using Kernel Density Estimation, Support Vector
Machines, and Convex Hulls
Tools for Processing and Analyzing Files from the Hydrological
Catchment Model HYPE
Wrapper for the 'Hypothes.is' Web Annotation Service
A Tool Used to Conduct Hypsometric Analysis of a Watershed
Multicriteria Risk Management using Zero-Sum Games with
Vector-Valued Payoffs that are Probability Distributions
Hybrid Genetic and Simulated Annealing Algorithm for High
Dimensional Linear Models with Interaction Effects
Fit the Hysteretic Threshold Autoregressive Model
Tools for Modeling Rate-Dependent Hysteretic Processes and
Ellipses
Get Pedestrian Frequency Data from the 'Hystreet' Project
Hypothesis Testing Based on Neyman-Pearson Lemma and Likelihood
Ratio Test
Internationalization Data from the 'Unicode CLDR' in Tabular
Form
Functions to Work with 'incidence2' Objects
Data and Functions for "An Intro. to Accept. Samp. & SPC/R"
Two-Stage Adaptive Dose-Finding Clinical Trial Design
Analysis of Intra Annual Density Fluctuations
Interaction Difference Test for Prediction Models
Iterative Alternating Least Square Estimation for
Large-Dimensional Matrix Factor Model
Formulations of the International Association for the Properties
of Water and Steam
Thermophysical Properties of Water and Steam
Model Selection for Index of Asymmetry Distribution
Cleaning and Visualizing Implicit Association Test (IAT) Data
Compute Effect Sizes and Reliability for Implicit Association
Test (IAT) Data
Scoring Algorithm for the Implicit Association Test (IAT)
Implicit Association Test Scores Using Robust Statistics
Iterative Bayesian Additive Regression Trees Descriptor
Selection Method
Functions and Datasets for the Data Science Course at IBAW
R Wrapper for Istanbul Municipality Open Data Portal
Item Based Collaborative Filtering for Multi-Trait and
Multi-Environment Data
Simulation of Chromosomal Regions Shared by Family Members
Initial Basic Feasible Solution for Transportation Problem
Toolkits to Develop Individual-Based Models in Infectious
Disease
Individual Based Model Population Simulation
Generate Personality Insights Sunburst Diagrams
Model Agnostic Instance Level Variable Attributions
R API to Interactive Brokers Trader Workstation
Integrating Biomarker-Based Assessments and Radarchart Creation
Inequality Constrained Inference in Linear Normal Situations
A Copy Number and Expression-Based Classifier for Breast Tumours
Infer Community Assembly Mechanisms by Phylogenetic-Bin-Based
Null Model Analysis
In-Depth Characterization and Analysis of Mutational Signatures
('ICAMS')
Optimal Designs for Nonlinear Statistical Models by Imperialist
Competitive Algorithm (ICA)
Subsetting using Focused Identification of the Germplasm
Strategy (FIGS)
Integrative Conditional Autoregressive Horseshoe Model
Calibrates and Reweights Units in Samples
Data-Driven Design of Targeted Gene Panels for Estimating
Immunotherapy Biomarkers
Facilitating Estimation of the Intraclass Correlation
Coefficient
Calculation of Sample Size and Power for ICC
Cox Model with Interval-Censored Starting Time of a Covariate
Multilevel Model Intraclass Correlation for Slope Heterogeneity
Facilitates Clustered Binary Data Generation, and Estimation of
Intracluster Correlation Coefficient (ICC) for Binary Data
Intraclass Correlation Coefficient for Count Data
Computation of the Double-Entry Intraclass Correlation
An Ensemble Method for Interval-Censored Survival Data
Intracluster Correlation Coefficient (ICC) in Clustered
Categorical Data
Estimates the Intraclass Correlation Coefficient for Trajectory
Data
International Classifcation of Diseases (ICD) Data
Metadata Processing for the German Modification of the ICD-10
Coding System
EM by the Method of Weights for Incomplete Categorical Data in
Generlized Linear Models
'ICD' Programs for Injury Categorization in R
Identification of Cancer Dysfunctional Subpathway with Omics
Data
Individual Conditional Expectation Plot Toolbox
Incremental Cost-Effectiveness Inference using Two Unbiased
Samples
Analyzing High-Throughput Single Cell Sequencing Data
Regression Models for Interval Censored Data
Accompanion to the Book on Interval Censoring by Bogaerts,
Komarek, and Lesaffre
Study Design and Data Analysis in the Presence of Error-Prone
Diagnostic Tests and Self-Reported Outcomes
Provides User Tokens for Access to ICES Web Services
DATRAS Trawl Survey Database Web Services
Functions to Interact with the ICES Data Submission Utility
(DATSU)
Run Quality Checks on Data Prior to Submission to ICES
Stock Assessment Graphs Database Web Services
Functions to Support the ICES Transparent Assessment Framework
Estimation of Number of Clusters and Identification of Atypical
Units
Information Criteria for Generalized Linear Regression
Fit Generalized Odds Rate Hazards Model with Interval Censored
Data
Visualization and Tools for Ichimoku Kinko Hyo Strategies
A Button-Based GUI for Financial and Economic Data Analysis
Empirical Bayes Variable Selection via ICM/M Algorithm
Data Analysis for ODS and Case-Cohort Designs with
Interval-Censoring
Independent Component Analysis Based Extreme Learning Machine
Global Triangular and Penta-Hexagonal Grids Based on Tessellated
Icosahedra
Survival Analysis of Interval-Censored Data
Reproducible Data Retrieval from the ICPSR Archive
Simultaneous Confidence Intervals for Ranks
A Modified Random Survival Forest Algorithm
Tools for Exploring Multivariate Data via ICS/ICA
Tandem Clustering with Invariant Coordinate Selection
Interval-Censored Sequence Kernel Association Test
Outlier Detection Using Invariant Coordinate Selection
Data Smoothing by Interpolating Cubic Splines
Semiparametric Regression Analysis of Interval-Censored Data
Estimating and Testing the Number of Interesting Components in
Linear Dimension Reduction
Indirect Cross-Validation (ICV) for Kernel Density Estimation
Vector Fields from Spatial Time Series of Population Abundance
Datasets and Functions for the Class "Modelling and Data
Analysis for Pharmaceutical Sciences"
R Interface to the US Census Bureau International Data Base API
Update Chinese ID Card Number to Eighteen Digits
Interactive Application for Analyzing Representativeness and
Nonresponse Bias
Agnostic, Idiomatic Data Filter Module for Shiny
Easy Manipulation of IDEAM's Climatological Data
Individual and Group Farm Sustainability Assessments using the
IDEA4 Method
Efficient Designs for Discrete Choice Experiments
Inference in Randomized Controlled Trials with Death and
Missingness
Various Methods for Estimating Intrinsic Dimension
Isolate-Detect Methodology for Multiple Change-Point Detection
Integrative Differential Network Analysis in Genomics
Shiny App. Idiograms with Marks and Karyotype Indices
Interpreting Differences Between Mean ACT Scores
Assessment of Individual Identity in Animal Signals
Identification of Dysregulated MiRNAs Based on MiRNA-MiRNA
Interaction Network
A Network Tool to Dissect Spatial Community Ecology
Integrated Discovery of Oncogenic Signatures
Durability of Vaccine Efficacy Against SARS-CoV-2 Infection
'Utilities of Institute of Data Analyses and Process Design
(www.zhaw.ch/idp)'
Imprecise Dirichlet Process for Survival Analysis
Composite Spectra Analysis (CSA) for High-Resolution Mass
Spectrometry Analyses
Intrinsic Peak Analysis (IPA) for HRMS Data
Parser for mzML, mzXML, and netCDF Files (Mass Spectrometry
Data)
United Formula Annotation (UFA) for HRMS Data Processing
Exhaustive Chemical Enumeration for United Formula Annotation
Estimate Global Clustering in Infectious Disease
Convert Files to and from IDX Format to Vectors, Matrices and
Arrays
Irucka Embry's Miscellaneous USGS Functions
Irucka Embry's Miscellaneous USGS Data Collection
Functions to Set and Get the IEEE Rounding Mode
File IO for Intracranial Electroencephalography
Irucka Embry's Miscellaneous Text Collection
Interface to the 'OpenGWAS' Database API
Toolkit for Item Factor Analysis with 'OpenMx'
Isolation-Forest Based 'CNV' Detection from 'NGS' Data
Italian Fiscal Code ('Codice Fiscale') Utilities
Influence Function Based Estimate Objects
Intuitionistic Fuzzy Multi-Criteria Decision Making Methods
Client for the Ifo Institute Time Series
Machine Learning Time Series Forecasting
"Smith-Pittman Community Detection Algorithm for 'igraph'
Objects (2024)"
Instagram 2014 Vancouver Top Colour Dataset
Score Taxon-Level IgA Binding in IgA-Seq Experiments
Statistical Tests and Utilities for Genetic Association
Guided Analytics for Testing Manufacturing Parameters
Simulate Impact of Different Urban Policies Through a General
Equilibrium Model
Computational Tools for the IG and IGL Copula Families
Interpreting Glucose Data from Continuous Glucose Monitors
Read Binary Files Saved by 'Igor Pro' (Including 'Neuromatic'
Data)
A Shiny Interface for Simple Data Management
A Collection of Network Data Sets for the 'igraph' Package
Convert iGraph graps to SoNIA .son files
Integrative Gene Set Enrichment Analysis Approaches
For Writing Geneva Graduate Institute Documents
Download Data from the International House Price Database
Identifying Infection with Machine Intelligence
Computing Individual Components of the Gini and the Theil
Indices
Analyzing Data Through of Percentage of Importance Indice
(Production Unknown) and Its Derivations
Modeling Within Individual Variability as Predictor
Infinite-Jackknife-Based Standard Errors for 'brms' Models
Comprehensive TIFF I/O with Full Support for 'ImageJ' TIFF Files
Merge and Download International Large-Scale Assessments (ILSA)
Data
Linear Regression Based on 'ILSE' for Missing Data
Analyze Interconnection Structure of Multilayer Interaction
Networks
Incremental Mixture Approximate Bayesian Computation (IMABC)
Binarize Images for Enhancing Optical Character Recognition
Implementation of the Canny Edge Detector for Images
Implementation of the Unsupervised Smooth Contour Line Detection
for Images
Find Corners in Digital Images with FAST-9
Implementation of the Harris Corner Detection for Images
Convolutional Neural Network for Face Detection
Aids in Processing and Plotting Data from a Lemna-Tec
Scananalyzer
Image Statistics Based on Processing Fluency
Image Processing Library Based on 'CImg'
Extra Image Processing Library Based on 'imager'
Deep Learning Models for Image Segmentation
Simple 'htmlwidgets' Image Viewer with WebGL Brightness/Contrast
Simulate General Insurance Policies and Losses
IMAGing engINEs, Tools for Application of Image Filters to Data
Matrices
Identify the Racial Complex of Native Corns from Mexico
Preprocessing Algorithms for Imbalanced Datasets
Relocated Data Oversampling for Imbalanced Data Classification
Mass Cytometry S4 Class Structure Pipeline for Images
Efficiency of Cluster Sampling for Crop Surveys
Index of Multiple Deprivation Data for the UK
Get Movie, Television Data from the 'imdb' Database
Likelihood Methods for Mediation Analysis
An Interface to IMF (International Monetary Fund) Data JSON API
Non-Linear Height Diameter Models for Forestry
Artificial Intelligence Based Machine Learning Algorithms for
Height Diameter Relationships of Conifer Trees
Infinite Mixtures of Infinite Factor Analysers and Related
Models
Gaussian Mixture Model for Multi-Omics Data Integration
Poly-Pharmacology Toolkit for Traditional Chinese Medicine
Research
Item Response Models for Multiple Ratings
Iterative Max-Min Entropy Margin-Maximization with Interaction
Terms for Feature Selection
Machine Learning Algorithms Fitting and Validation for Forestry
Bioinformatics Analysis of T-Cell and B-Cell Immune Repertoires
Machine Learning Immunogenicity and Vaccine Response Analysis
Tunable Simulation of B- And T-Cell Receptor Repertoires
AI Powered Neural Network Solutions for Regression Tasks
Neural Networks for Predicting Volume of Forest Trees
CSS Layouts (Grid and Flexbox) Implementation for R/Shiny
Calculation and Visualization of the Impact Effect Size Measure
Quantification of Population-Level Impact of Vaccination
Mechanical Loading Prediction Through Accelerometer Data
Imprecise Imputation for Statistical Matching
Array Operations for Arrays of Mismatching Sizes
Compute Scores for Different Implicit Measures
Convert Between Bookmaker Odds and Probabilities
Analyzing Data Through of Percentage of Importance Indice and
Its Derivations
Enables Importing/Loading of Packages or Functions While
Creating an Alias for Them
Download and Manage Open Data from INEGI
Calculate Birth Year-Specific Probabilities of Immune Imprinting
to Influenza
Improved Shrinkage Estimations for Multiple Linear Regression
Classification Trees with Imprecise Probabilities
Imputation of Financial Time Series with Missing Values and/or
Outliers
Ease the Implementation of Imputation Methods
A Collection of Methods for Left-Censored Missing Data
Imputation
Longitudinal Imputation of Categorical Variables via a Joint
Transition Model
Impute Missing Values in a Predictive Context
Imputation Methods for Multivariate Multinomial Data
A General Multivariate Imputation Framework
Impute Missing Rare Earth Element Data in Zircon
Robust Multiple Imputation with Generalized Additive Models for
Location Scale and Shape
Test Bench for the Comparison of Imputation Methods
Multi-Reader, Multi-Case Analysis Methods (ROC, Agreement, and
Other Metrics)
Immune Cell Gene Signatures for Profiling the Microenvironment
of Solid Tumours
Information Matrix Test for Generalized Partial Credit Models
Estimate Orientation of an Inertial Measurement Unit
Volume Prediction of Trees Using Linear and Nonlinear Allometric
Equations
Initialization Algorithms for Partitioning Cluster Analysis
Analysing Inbreeding Based on Genetic Markers
Pipe-Friendly Vector Replacement with Case Statements
Internal Control Analysis of Translatome Studies by Microarrays
Incremental Calculation of Dynamic Time Warping
Incremental Graphlet Counting for Network Optimisation
Compute, Handle, Plot and Model Incidence of Dated Events
Compute, Handle and Plot Incidence of Dated Events
Estimate Incidence and Prevalence using the OMOP Common Data
Model
Implements Empirical Bayes Incidence Curves
Generates Incidence Matrices and Bipartite Graphs
Comparison of Means for the Incomplete Paired Data
Parametric Time-to-Event Analysis with Variable Incubation
Phases
Insertion Deletion Analysis While Accounting for Possible
Missing Data
Estimates Weights for Confounding Control for Continuous-Valued
Exposures
Nonparametric Independence Tests Based on Entropy Estimation
Constructing and Analyzing Complex Selection Indices
Tests of Independence Between Innovations of Generalized Error
Models
Influence Diagnostics in Statistical Models
Composite 'Indicator' Construction and Imputation Data
Relationship Between Species and Groups of Sites
Elicitation of Independent Conditional Means Priors for
Generalised Linear Models
Obtaining and Estimating Unidimensional and Multidimensional IRT
Dual Models
Tests of Independence and Analysis of Dependence Between Point
Processes in Time
Data, Functions and Support Materials from the Book "industRial
Data Science"
Access to Spanish Household Income Distribution Atlas Data
Integrate INEGI’s (Mexican Stats Office) API with R
Measuring Inequality, Concentration, and Poverty
Two-Dimensional Decomposition of the Theil Index and the Squared
Coefficient of Variation
Performing Inference on Networks with Regularization
Interpolation and Extrapolation for Species Diversity
Interpolation and Extrapolation for Three Dimensions of
Biodiversity
Four-Step Biodiversity Analysis Based on 'iNEXT'
Interpolation and Extrapolation with Beta Diversity for Three
Dimensions of Biodiversity
Inferring Cell-Specific Gene Regulatory Network
Inference About the Standardized Mortality Ratio when Evaluating
the Effect of a Screening Program on Survival
Methods for Causal Inference with Interference
Estimate and Account for Tumor Purity in Cancer Methylation Data
Analysis
Melt Curve Fitting and Melt Shift Analysis
Tools for Detecting Influential Data in Mixed Effects Models
Case Influence in Structural Equation Models
Identify Influential Observations in Binary Classification
Software Tools to Quantify Structural Importance of Nodes in a
Network
Identification and Classification of the Most Influential Nodes
Information Decomposition of Two-Phase Experiments
Data Exploration with Information Theory (Weight-of-Evidence and
Information Value)
Multiple Imputation for Informative Censoring
Sensitivity Analysis Informed by a Test for Bias
Computing a New Informative Distribution Set of Asset Returns
Calculates the Probability of Informed Trading (PIN)
Effects and Importances of Model Ingredients
Translate ICD-9 into Injury Severity Score
A Toolkit for Sports Injury Data Analysis
Bayesian Latent Gaussian Modelling using INLA and Extensions
Multivariate Joint Modeling for Longitudinal and Time-to-Event
Outcomes with 'INLA'
Missing Data and Measurement Error Modelling in INLA
Spatial and Spatio-Temporal Models using 'INLA'
Color Schemes for the USGS Idaho National Laboratory Project
Office
Collection of Datasets for the USGS-INL Monitoring Networks
Functions to Inline C, C++, Fortran Function Calls from R
Convert Inline Comments to Documentation
Infix Operators for Detection, Subsetting and Replacement
Analyse Text Documents Using Ecological Tools
Quality Control of Climatological Daily Time Series
Dissipation Kinetics Analysis, Half Life Period, Rate Constant,
Plots
Tools to Easily Download Data from INSEE BDM Database
Easy Access to Model Information for Various Model Objects
Probabilistic Verbal Autopsy Coding with 'InSilicoVA' Algorithm
High-Dimensional Changepoint Estimation via Sparse Projection
Inspection, Comparison and Visualisation of Data Frames
Validation of Arguments and Objects in User-Defined Functions
IN-vivo reSPonsE Classification of Tumours
Inferring Shared Modules from Multiple Gene Expression Datasets
with Partially Overlapping Gene Sets
Access to Instagram Ads via the 'Windsor.ai' API
Using R to Install Stuff on Windows OS (Such As: R, 'Rtools',
'RStudio', 'Git', and More!)
Pre-Compiled 'CmdStan' Models in R Packages
A Collection of Insurance Datasets Useful in Risk Classification
in Non-life Insurance
Interactive Add-on Functionality for 'intamap'
Semiparametric Competing Risks Regression under Interval
Censoring
AUC Estimation of Interval Censored Survival Data
Integrating Multiple Modalities of High Throughput Assays Using
Item Response Theory
An Implementation of Interaction Graphs of Aleks Jakulin
Joint Modeling of the Gene-Expression and Bioassay Data, Taking
Care of the Effect Due to a Fingerprint Feature
Integrated Prediction using Uni-Variate and Multivariate Random
Forests
A Group of Fun Datasets of Various Sizes and Differing Levels of
Quality
Intensity Analysis of Spatial Point Patterns on Complex Networks
Power Analyses for Interaction Effects in Cross-Sectional
Regressions
Calculate Estimates in Models with Interaction
Comprehensive, User-Friendly Toolkit for Probing Interactions
Calculates Critical Test Statistics to Control False Discovery
Rates in Marginal Effects Plots
Compute Chi-Square Measures with Corrections
Multiple Correspondence Analysis Based on Interpretive
Coordinates
Interaction Analysis of Repeated Measure Data
GUI to Analyse qPCR Results after PMA Treatment or not
Define and Enforce Contracts for Dataframes as Function
Parameters
Multiplicative Interaction Models Diagnostics and Visualization
Interference Color Charts for Polarized Light Microscopy
Coercion Routines for Network Data Objects
Scheduling Interim Analyses in Clinical Trials
App for Scheduling Interim Analyses in Clinical Trials
Converts Tabular Data to Interleaved Vectors
Importing Interlinearized Corpora and Dictionaries as Produced
by Descriptive Linguistics Software
Time Series Intervention Model Using Non-Linear Function
Coercion Methods for Simplicial Complex Data Structures
Plot the Effects of Variables in Interaction Terms
Estimate the Confidence Interval and Interpret Step by Step
Interpreting High Resolution Mass Spectra
Binary Classifier and Regression Model Interpretation Functions
Flexible Tools for Estimating Interactions
Simulation of Inter-Related Genomic Datasets
Weighted Logrank Tests and NPMLE for Interval Censored Data
Time-Weighted Averaging for Interval Data
Tools to Deal with Interval-Valued Responses in Questionnaires
Tools for Working with Points and Intervals
Hypothesis Testing Using the Overlapping Interval Estimates
Tools and Statistical Procedures in Plant Science
A Numerical Implementation of Interval-Valued Kriging
Mediation Analysis using Interventional Effects
Integrative Clustering of Multiple Genomic Dataset
Modeling and Forecasting Financial Intraday Signals
Quantify and Control Reproducibility in High-Throughput
Experiments
An R Package for Factor Model Asset Pricing
Sample Size Planning Based on Intrinsic Kappa Value
Analysis of Time-Ordered Event Data with Missed Observations
Reproducible Integrated Species Distribution Models Across
Norway using 'INLA'
Interval and Enum-Type Representation of Vectors
Analyse Biological Invasion Costs with the 'InvaCost' Database
Inventory Analytics, Pricing and Markdowns
Reverse Engineers Regular Expression Patterns for R Objects
Obtains the Log Likelihood for an Inverse Gamma Stochastic
Volatility Model
Threshold Regression that Fits the (Randomized Drift) Inverse
Gaussian Distribution to Survival Data
Inverse Stable Prior for Widely-Used Exponential Models
Tools for Exploring Multiple Response Data
Graphical Tools for Exploring Data with 'iNZight'
Tools for Exploring Regression Models with 'iNZight'
A Unified Framework for Input-Output Operations in R
Iterated Ordinary Least Squares Regression
Calling Copy Number Alterations in Amplicon Sequencing Data
Network Analysis for Input-Output Tables
Functions for Smoothing with Infinite Order Flat-Top Kernels
Reproducible Input-Output Economics Analysis, Economic and
Environmental Impact Assessment with Empirical Data
Iota Inter Coder Reliability for Content Analysis
Lookup Geolocation and Proxy Information using 'IP2Location.io'
API
Lookup 'WHOIS' Information for a Particular Domain
Data Analysis for IP Addresses and Networks
Iterative Pruning Population Admixture Inference Framework
Client for the 'ipbase.com' IP Geolocation API
Tools for Message Passing Between Processes
Iterative Pruning to Capture Population Structure
Kendall's Tau Partial Corr. for Survival Trait and Biomarkers
Inverse Probability of Censoring Weights to Deal with Treatment
Switch in Randomized Clinical Trials
Map Digitized Survival Curves Back to Individual Patient Data
Spatial Interpolation by Inverse Path Distance Weighting
Add Ipea Editorial Standards to 'ggplot2' Graphics
Data from the Integrated Post-Secondary Education Data System
Transforms Institutional Data into Text Files for IPEDS
Automated Import/Upload
Fast Implementation of the Iterative Proportional Fitting
Procedure in C
List Balancing for Reweighting and Population Synthesis
Install R Packages or Download File from GitHub via the Proxy
Site
Identification of Parental Lines via Genomic Prediction
Client for the 'iplookupapi.com' IP Lookup API
Functions and Data for the Book 'Integrated Population Models'
Individual Growth Curve Parameter Calculation using Polynomial
Functions
Intelligent Predicting Response to Cancer Immunotherapy Through
Systematic Modeling
Interfaces to Phylogenetic Software in R
Spatially Explicit Capture-Recapture by Inverse Prediction
Intuitionistic, Pythagorean, and Spherical Fuzzy Similarity
Measure
Introduction to Probability, Statistics and R for Data-Based
Sciences
An R Interface for Downloading, Reading, and Handling IPUMS Data
Inverse Probability Weighted Cox Model with Corrected Sandwich
Variance
Inverse Probability Weighted Estimation of Average Treatment
Effect with Misclassified Binary Outcome
Protein Quantification in Mass Spectrometry-Based Proteomics
Functions to Handle and Preprocess Infrared Spectra
Iterated Racing for Automatic Algorithm Configuration
Plots for Visualizing the Data Produced by the 'irace' Package
Iteratively Reweighted Boosting for Robust Analysis
Correlation Coefficients for Information Retrieval
Regression Methods for Interval-Valued Variables
Collection of Practical Institutional Research Examples and
Tutorials
A Dynamic Bipartite Latent Space Model to Analyse Irish
Companies' Boards from 2003 to 2013
Classes and Methods for Seismic Data Analysis
Native R Kernel for the 'Jupyter Notebook'
Fast Truncated Singular Value Decomposition and Principal
Components Analysis for Large Dense and Sparse Matrices
Various Coefficients of Interrater Reliability and Agreement
Computing False Positive Rate from Inter-Rater Reliability
Computing Chance-Corrected Agreement Coefficients (CAC)
Analysis of Longitudinal Data with Irregular Observation Times
Intraclass Correlations for Quantifying Inter-Rater Reliability
Coefficients of Interrater Reliability – Generalized for
Randomly Incomplete Datasets
Item Response Theory and Computerized Adaptive Testing Functions
Items Response Theory Analysis with Steps and Interpretation
Family of Bayesian EMM Algorithm for Item Response Models
Parameter Estimation of Item Response Theory with Estimation of
Latent Distribution
Item Response Theory Analysis with a Graphic User Interface
A Collection of Functions Related to Item Response Theory (IRT)
Power Analysis for IRT Models Using the Wald, LR, Score, and
Gradient Statistics
Unidimensional Item Response Theory Modeling
Estimation of Tree-Based Item Response Models
Introduction to Sports Analytics using R (ISAR) Data
Extract Cell Density and Nearest Distance Based on 'PerkinElmer
InForm' Software Output
Implementation for the ISA Abstract Model
Converts ISCO-08 to Job Prestige Scores, ISCO-88 and Job Name
Crosswalks Between Classifications of Occupations
Proper Scoring Rules for Missing Value Imputation
Datasets for Introduction to Statistical Data Analysis for the
Life Sciences
Parse 'NOAA' Integrated Surface Data Files
Ion Selective Electrodes Analysis Methods
Integrative Dimension Reduction Analysis for Multi-Source Data
Fitting Ising Models Using the ELasso Method
Landscape Construction and Simulation for Ising Networks
Sampling Methods and Distribution Functions for the Ising Model
Stochastic Island Biogeography Theory Made Easy
Data for an Introduction to Statistical Learning with
Applications in R
Introduction to Statistical Learning, Second Edition
An Introduction to Statistical Modeling of Extreme Values
Calculating Socio Material Territorial Index
Index of Local Sensitivity to Nonignorability
Check if an 'externalptr' is a Null Pointer
Functions to Perform Isotonic Regression
Generate Isolines and Isobands from Regularly Spaced Elevation
Grids
Isotope Origin Clustering and Assignment Tools
Isomorphism Check for Multi-Stage Factorial Designs with
Randomization Restrictions
Statistical Toolbox for Radiometric Geochronology
Isoscape Computation and Inference of Spatial Origins using
Mixed Models
Isotonic Regression on Survival Analysis
Active Set and Generalized PAVA for Isotone Optimization
Penalized Isotonic Regression in one and two dimensions
Discovery, Retrieval, and Analysis of Water Isotope Data
Week of the year and weekday according to ISO 8601
Access Data from the Public Security Institute of the State of
Rio De Janeiro
The Iterated Score Regression-Based Estimation Algorithm
Tools and Data for the International Soil Radiocarbon Database
Obtaining Open Data from Instituto Canario De Estadistica
(ISTAC) API
A Graphical Interface to Perform STOCSY Analyses on NMR Data
The Italian Survey on Household and Wealth, 2008 and 2010
Integral Transformation Methods for SDR in Regression
Iterative Hard Thresholding Extensions to Cyclops
Print Loop Iterations at Exponentially Disparate Intervals
Approximate Probability Densities by Iterated Laplace
Approximations
Efficient Iterator for Permutations and Combinations
itertools2: Functions creating iterators for efficient looping
Analysis of the International Trade Network
Helper Functions for 'Interactive Tree Of Life'
Methods and Examples from Introduction to the Theory of
Observational Studies
The Interpolate, Truncate, Project (ITP) Root-Finding Algorithm
Running Interrupted Time Series Analysis
Interpreting Time Series and Autocorrelated Data Using GAMMs
Isolation Forest-Based Presence-Only Species Distribution
Modeling
Time Series Analysis Using the Innovations Algorithm
Profiling Compliers and Non-Compliers for Instrumental Variable
Analysis
Hypothesis Testing in Cluster-Randomized Encouragement Designs
Estimation and Diagnostic Tools for Instrumental Variables
Designs
Ensures Mutually Consistent Beliefs When Using IVs
General to Specific Modeling and Indicator Saturation in 2SLS
Models
Estimate IV-Optimal Individualized Treatment Rules
Statistical Inference and Sensitivity Analysis for Instrumental
Variables Model
Instrumental Variables: Extrapolation by Marginal Treatment
Effects
Nicely Formatted Contingency Tables and Frequency Tables
Instrumental-Variables Regression by '2SLS', '2SM', or '2SMM',
with Diagnostics
Structural Additive Cumulative Intensity Models with IV
Produces an IVY Plot (Similar to Dot Plot) with/without
Frequencies
Irrigation Water Quality Assessment and Visualizations
Improved Methods for Causal Inference and Missing Data Problems
Framework for Tick Population and Infection Modeling
R Wrapper for Izmir Municipality Open Data Portal
Simulation-Based Maximum Likelihood Parameter Estimation
Possible Adverse Events/Reactions from the
Vaccinations/Experimental Gene Therapies
Test Similarity Between Binary Data using Jaccard/Tanimoto
Coefficients
Jack, Zonal, Schur, and Other Symmetric Polynomials
A Swift, Versatile Phylogenomic and High-Throughput Sequencing
Simulator
Delete-d Jackknife for Point and Interval Estimation
Correcting Nonparametric Frontier Measurements for Outliers
Statistical Inference for Unsupervised Learning
Jacobi Theta Functions and Related Functions
Jaccard Index for Population Structure Identification
Estimation of Jacquard's Genetic Identity Coefficients
Blind Source Separation Methods Based on Joint Diagonalization
and Some BSS Performance Criteria
Supporting Files and Functions for the Book Bayesian Modelling
with 'JAGS'
Extracting and Visualizing Output from 'jagsUI'
Automatically Write 'JAGS' Code for Hierarchical Bayesian Models
on Trees
A Wrapper Around 'rjags' to Streamline 'JAGS' Analyses
Conversion Between Jalali (Persian or Solar Hijri) and Gregorian
Calendar Dates
Just Another Latent Space Network Clustering Algorithm
Simple Tools for Examining and Cleaning Dirty Data
Optimized Recommending System Based on 'tensorflow'
Just a Rather Bayesian Evidence Synthesis
A Metadata and Text Extraction and Manipulation Tool Set
Jaya, a Gradient-Free Optimization Algorithm
An R Interface to the JBrowse 2 Genome Browser
Interconversion Between the Japanese Calendar System and the
Western Calendar
Extended Classification of Weather Types
Colors Palettes for R and 'ggplot2', Additional Themes for
'ggplot2'
Journal Citation Reports ('JCR') Impact Factor by 'Clarivate'
'Analytics'
Risk Calculator for Cardiovascular Disease in Japan
Interface Between the 'JDemetra+' Cruncher and R, and Quality
Report Generator
A Wrapper for the Node.js 'Jdenticon' Library
Monte Carlo Option Pricing Algorithms for Jump Diffusion Models
with Correlational Companies
R Markdown Templates for Journal of Data Science
A Fast and Scalable Joint Estimator for Integrating Additional
Knowledge in Learning Multiple Related Sparse Gaussian
Graphical Models
Fast Extrapolation of Time Features using K-Nearest Neighbors
One-to-One Gene-Probeset Mapping for Affymetrix Human
Microarrays
Graphical Models Estimation from Multiple Sources
Tools for Analyzing Time Series Data of Just Finance and
Econometrics
Rock Mass Structural Analysis from 3D Mesh of Point Cloud
Performs the Joint Graphical Lasso for Sparse Inverse Covariance
Estimation on Multiple Classes
Package of the German Book "Statistik mit R und RStudio" by
Joerg grosse Schlarmann
Chinese Text Segmentation Data for jiebaR Package
Approximate Inclusion Probabilities for Survey Sampling
Joint Latent Class Trees for Joint Modeling of Time-to-Event and
Longitudinal Data
Regression Modelling with 'GLM.jl' and 'MixedModels.jl' in
'Julia'
Cluster-Based Permutation Analysis for Densely Sampled Time Data
Joint Modeling of Longitudinal and Survival Data
Download Weather Data from Japan Meteorological Agency Website
Read from/Write to Disk Matrices with any Data Type in a Binary
Format
Joint Modeling of Longitudinal and Time-to-Event Data under a
Bayesian Approach
Extended Joint Models for Longitudinal and Time-to-Event Data
Joint Longitudinal and Survival Model for Big Data
Joint Mean-Covariance Models using 'Armadillo' and S4
Fitting Joint Mean and Dispersion Effects Models
Joint Modeling of Longitudinal and Survival Data - Power
Calculation
Joint Model of Heterogeneous Repeated Measures and Survival Data
Time Series Analysis Toolkit Based on Symbolic Aggregate
Discretization, i.e. SAX
Permutation Tests for Nonparametric Statistics
Connect to the 'jamovi' Statistical Spreadsheet
Visualize Outputs from the 'Johnson-Neyman' Technique
Run Code as an RStudio Job - Free Your Console
Modelling and Simulating Judgments of Frequency
Joint Modelling of Repeated Measurements and Time-to-Event Data
Joint Modelling of Multivariate Longitudinal Data and
Time-to-Event Outcomes
Penalised Multivariate Regression ('Multi-Target Learning')
Joint Frailty-Copula Models for Tumour Progression and Death in
Meta-Analysis
Joint Analysis and Imputation of Incomplete Data
A Joint Calibration of Totals and Quantiles
Joint Approximate Diagonalization of a Set of Square Matrices
A Parametric Model for Estimating the Mean Number of Events
Joint Mean and Covariance Estimation for Matrix-Variate Data
Joint N-Mixture Models for Site-Associated Species
Risk Estimation Using the Joint Probability Method
Joint Segmentation of Multivariate (Copy Number) Signals
Prioritize Variables with Joint Variable Importance Plot in
Observational Study Design
Perform Joins or Minus Queries on 'Excel' Files
Multilevel Joint Modelling Multiple Imputation
A Suite of Routines for Working with Jordan Algebras
Unit-Level and Area-Level Small Area Estimation
Add Josa Based on Previous Letter in Korean
JavaScript Object Signing and Encryption
Journal Abbreviations for BibTeX Documents
Implements Under/Oversampling for Probability Estimation
Tool for Diagnosis of Tables Joins and Complementary Join
Features
Read and Convert Japanese Municipality Codes
Covariance and Inverse Covariance Matrix Estimation Using Joint
Penalty
Functions for the Grid Square Codes in Japan
Tools for Easy Use of 'e-Stat', 'RESAS' API, Etc
Jump Q-Learning for Individualized Interval-Valued Dose Rule
Obtain 'jQuery' as an HTML Dependency Object
Exchange Commands Between R and 'JavaScript'
Jack-Knife Support for Evolutionary Distinctiveness Indices I
and W
Multimodal Single-Cell Omics Dimensionality Reduction
Item Response Theory Modeling and Scoring for Judgment Data
Basic Finance; NPV/IRR/Annuities/Bond-Pricing; Black Scholes
A 'RStudio' Addin to Send 'JavaScript' Code to the 'V8' Console
Calculates the j-Score Between Two Clustering Assignments
Estimating the Age using Auricular Surface by DNE
Semiparametric Joint Modeling of Survival and Longitudinal Data
Mediation Analysis Using Joint Significance
'RStudio' Addins and 'Shiny' Modules for Medical Research
Parse Parameters Inside a Docker Container
A 'Base64' Encode/Decode Package with Support for JSON
Output/Input and UTF-8
Convert Between 'R' Objects and Javascript Object Notation
(JSON)
A Simple and Robust JSON Parser and Generator for R
Joint Sparse Optimization via Proximal Gradient Method for Cell
Fate Conversion
Create Tables from Different Types of Regression
Retrieve Information Published on J-STAGE
Create Interactive Trees with the 'jQuery' 'jsTree' Plugin
A Wrapper of the JavaScript Library 'jsTree'
Estimate Parameters of the Best-Fitting JohnsonSU Distribution
Analysis and Presentation of Social Scientific Data
Forecasting Long-Term Growth of the U.S. Stock Market and
Business Cycles
'juice' + 'markdown': Convert 'R Markdown' into 'HTML' with
Inline Styles
Automated and Manual Extraction of Numerical Data from
Scientific Images
Inline CSS Properties into HTML Tags Using 'juice'
Seamless Integration Between R and 'Julia'
A Functionally Oriented Interface for Integrating 'Julia' with R
Translate R Regression Model Formulae to 'Julia' Syntax
Replicability Analysis of High-Throughput Experiments
The Breakdown of Genomic Ancestry Blocks in Hybrid Lineages
Very Simple Function to Install Packages without Attaching
Human and Machine-Readable Justifications and Justified
Decisions Based on 'YAML'
Justifying Alpha Levels for Hypothesis Tests
Principal Component Analysis (PCA) and Whitening
Construct Complex Table with 'kable' and Pipe Syntax
Kernel Adaptive Density Estimation and Regression
Programmatic Access to the API for Japanese Diet Proceedings
Analysis of Chronological Patterns from Archaeological Count
Data
Kernel Approaches for Nonlinear Genetic Association Regression
A Statistical Framework for the Analysis of Japanese Kanji
Characters
Kantorovich Distance Between Probability Measures
Encoding of Sequences Based on Frequency Matrix Chaos Game
Representation
Test the Homogeneity of Kappa Statistics
Agreement of Nominal Scale Raters with a Gold Standard
An R-Shiny Application for Calculating Cohen's and Fleiss' Kappa
Non-Additive Measure and Integral Manipulation Functions
Sample Size Estimation Functions for Studies of Interobserver
Agreement
Color Palettes Inspired by Japanese Landscape and Culture
Learning programming with Karel the robot
Real-Time PCR Data Sets by Karlen et al. (2007)
An Interface for Microclimate Time Series Analysis
DNA Copy Number Analysis for Genome-Wide Tapestri Panels
Rendering Math to HTML, 'MathML', or R-Documentation Format
Kaya Identity Data for Nations and Regions
Khattree-Bahuguna's Univariate and Multivariate Skewness
Conditional Expectation Function Estimation with
K-Conditional-Means
Smooth Test for Equality of Copulas and Clustering Multivariate
Kernel Change Point Detection on the Running Statistics
Kernel Smoothing for Bivariate Copula Densities
Kernel Density Estimation with Parametric Starts and Asymmetric
Kernels
Multivariate Kernel Density Estimation with Vine Copulas
Bayesian Analysis of Dynamic Generalized Linear Models
Kernel Distance Metric Learning for Mixed-Type Data
Kernel Estimator and Bandwidth Selection for Density and Its
Derivatives
Arrays with Better Control over Dimension Dropping
Collect, Assemble and Model Air Pollution, Weather and Health
Data
Calculate Solutions to the Kelvin Differential Equation using
Bessel Functions
Kendall Rank Correlation and Mann-Kendall Trend Test
Simulate and Visualize Kendall Random Walks and Related
Distributions
Knowledge Synthesis in Agriculture - From Experimental Network
to Meta-Analysis
Kernel-Embedding-of-Probability Test for Elliptical Distribution
New Kernel-Based Test for Differential Association Analysis
Expectile Regression in Reproducing Kernel Hilbert Space
Distance Weighted Discrimination (DWD) and Kernel Methods
Smoothed Bootstrap and Random Generation from Kernel Densities
Kernel Factory: An Ensemble of Kernel Machines
Kernel Density Estimation for Heaped and Rounded Data
Kernel Estimation of Hazard Function in Survival Analysis
A Kernel Regression-Based Multidimensional Wind Turbine Power
Curve
Kernel Machine Score Test for Semi-Competing Risks
Functions for Kernel Smoothing Supporting Wand & Jones (1995)
Adaptive Kernel Estimators for Point Process Intensities on
Linear Networks
Kernel Functions and Tools for Machine Learning Applications
Bayesian Designs for Early Phase Clinical Trials
Keyboard and Mouse Input Simulation for Windows OS
Keyword Analysis Using Permutation Tests
Access the System Credential Store from R
Decrypt Passwords from Gnome Keyring, Windows Data Protection
API and macOS Keychain
K-Fold Cross Validation for Factor Analysis
Kalman Filter and Smoother for Exponential Family State Space
Models
Integrated Code Chunk Anchoring and Referencing for R Markdown
Documents
Kalman Filter for Impulse Noised Outliers
Kendall Functional Principal Component Analysis
A Tool for Calculating Stoichiometric Equilibrium Constants (Ks)
for Seawater
Kernel Based Gradient Matching for Parameter Inference in
Ordinary Differential Equations
Knowledge Graphs Constructions and Visualizations
Methods for Calculating 'KHQ' Scores and 'KHQ5D' Utility Index
Scores
Colour Schemes for Scientific Data Visualization
A Simple Data Management and Sharing Tool
Kidney Functions: Clinical and Epidemiological
Download, Cache, and Connect to KidSIDES
Simulate and Estimate Close-Kin Dispersal Kernels
Inference About Relationships from DNA Mixtures
Panel Evaluation in Forensic Kinship Analysis
Example Data from the Multi-Modal MRI 'Reproducibility' Resource
Example Functional Imaging Data from the Multi-Modal MRI
'Reproducibility' Resource
Example T1 Structural Data from the Multi-Modal MRI
'Reproducibility' Resource
Korea Investment & Securities (KIS) Open Trading API
a Keep It Simple Species Migration Model
Data Manipulation Functions Implemented in C
Spectral Response of Water Wells to Harmonic Strain and Pressure
Signals
A Wrapper for Querying KISTERS 'WISKI' Databases via the 'KiWIS'
API
Kernel Knockoffs Selection for Nonparametric Additive Models
Classifications and Codelists for Statistics Norway
Sample-Based Estimation of Kullback-Leibler Divergence
Kullback-Leibler Divergence and Other Tools to Analyze
Frequencies
Confidence Intervals for the Kaplan-Meier Estimator
k-Means Like Blockmodeling of One-Mode and Linked Networks
Kaplan-Meier Estimator with Constraints for Right Censored Data
-- a Recursive Computational Algorithm
Kernel Measure of Multi-Sample Dissimilarity
Fast K-Mer Counting and Clustering for Biological Sequence
Analysis
K-Mers Similarity Score Matrix and HeatMap
Multi-Purpose and Flexible k-Meric Enrichment Analysis Software
Kaplan-Meier Multiple Imputation for the Analysis of Cumulative
Incidence Functions in the Competing Risks Setting
Preserving Attribute Values: Converting KML to Shapefile
K-Means with Simultaneous Outlier Detection
Data sets from Klein and Moeschberger (1997), Survival Analysis
Generate Feasible Samples of a Knapsack Problem
Analysis of Korean National Forest Inventory Database
A General-Purpose Package for Dynamic Report Generation in R
Data Language Engine for 'knitr' / 'rmarkdown'
Generates a Spreadsheet Report from an 'rmarkdown' File
An Accurate kNN Implementation with Multiple Distance Measures
k-Nearest Neighbor Mutual Information Estimator
Time Series Prediction using K-Nearest Neighbors Algorithm
(Parallel)
Interactive Document for Working with KNN Analysis
k Nearest Neighbors with Grid Search Variable Selection
K Nearest Neighbor Forecasting with a Tailored Similarity Metric
The Knockoff Filter for Controlled Variable Selection
Hybrid Analysis of Population and Trio Data with Knockoff
Statistics for FDR Control
Whole-Genome Sequencing Data Analysis via Knockoff Statistics
Trio Data Analysis with Knockoff Statistics for FDR Control
Discriminating Well Surveyed Spatial Units from Exhaustive
Biodiversity Databases
Knowledge Discovery by Accuracy Maximization
Get Data from the 'KOF Datenservice' API
A Genetic Algorithm for Fixed-Size Subset Selection
Functional Summary and Meta-Analysis of Gene Expression Data
Supervised and Unsupervised Self-Organising Maps
Simply Beautiful PDF Letters from Markdown
Quantify the Robustness of Causal Inferences
KONP Tests: Powerful K-Sample Tests for Right-Censored Data
Matching Address Data to Reference Index
Text Analysis with Emphasis on POS Tagging, Readability, and
Lexical Diversity
Language Support for 'koRpus' Package: English
Variable Selection by Revisited Knockoffs Procedures
Korean Statistical Information Service (KOSIS)
Koul's Minimum Distance Estimation in Regression and Image
Segmentation Problems
Cubic Spline Fitting with Knot Selection
Variables Interpretability with Kernel PCA
Kernel PC Algorithm for Causal Structure Detection
Determination of K Using Peak Counts of Features for Clustering
Method for Clustering Partially Observed Data
Comprehensive R Interface for Accessing Kraken Cryptocurrency
Exchange REST API
A Quantified Implementation of the Kraljic Matrix
Geospatial Kriging with Metropolis Sampling
Kriging-Based Inversion for Deterministic and Noisy Computer
Experiments
Measuring Agreement Using Krippendorff's Alpha Coefficient
Keen and Reliable Interface Subroutines for Bioinformatic
Analysis
Microbiome Oriented Circadian Rhythm Analysis Toolkit
Retained Component Criterion for Principal Component Analysis
K-Sample Rank Tests and their Combinations
Goodness-of-Fit Tests using Kernelized Stein Discrepancy
Computing P-Values of the One-Sample K-S Test and the Two-Sample
K-S and Kuiper Tests for (Dis)Continuous Null Distribution
Identify Kinase Substrate Relationships Using Dynamic Data
Unbiased Estimators for Cumulant Products and Faa Di Bruno's
Formula
Basic Functions in Knowledge Space Theory Using Matrix
Representation
Co-Tucker3 Analysis of Two Sequences of Matrices
Configurable Function for Solving Families of Nonlinear
Equations
'Tweedie' Compound Poisson Model in the Reproducing Kernel
Hilbert Space
Read/Write Files in Key-Value-Hierarchy Format
Utility Functions for Statistical Analysis Report Generation and
Monte Carlo Studies
Kolmogorov-Zurbenko Spatial Smoothing and Applications
Sparse Generalized Linear Model with L0 Approximation for
Feature Selection
Fast Algorithms for Best Subset Selection
Graph/Network Analysis Based on L1 Centrality
An L1-Version of the Spectral Clustering
Exploring Friedman's Boosting Algorithm for Regularized Linear
Regression
Robust Structured Regression via the L2 Criterion
L2 Inference for Change Points in High-Dimensional Time Series
Automation and Standardization of Cleaning Clinical Lab Data
Miscellaneous Scripts from the Data Science Laboratory (UCPH)
Ordination and Multivariate Analysis for Ecology
Relabelling MCMC Outputs of Mixture Models
Automate the Production of Custom Labels, Badges, Certificates,
and Other Documents
Label Data Frames, Variables, and Values
Laser Ablation Blast Through Endpoint Detection
Normalize Laboratory Measurements by Age and Sex
Identification, Tuning, Visualisation and Analysis of Labour
Market Areas
Classify Multilingual Labour Market Free-Text to Standardized
Hierarchical Occupations
Simplex Optimization Algorithms for Laboratory and Manufacturing
Processes
Libreria Del Laboratorio Di Statistica Con R
Data Sets for the Book "Experimental Design for Laboratory
Biologists"
Gliding Box Lacunarity and Other Metrics for 2D Random Closed
Sets
Derive Leaf Angle Distribution (LAD) from Measured Leaf
Inclination Angles
Automated Tool for Vertical Fuel Continuity Analysis using
Airborne Laser Scanning Data
Estimation of Indicators on Social Exclusion and Poverty
Interface to the Lake Multi-Scaled Geospatial and Temporal
Database
Local Approximate Gaussian Process Regression
Converting NDVI to LAI of Field, Proximal and Satellite Data
Tools for the Analysis of Ecosystem Metabolism
Lake Temperatures Collected by Situ and Satellite Methods from
1985-2009
Fast Numerical Maximum Likelihood Estimation for Latent Markov
Models
Modeling Data with Functional Programming
Variational Seq2Seq Model with Lambda Transformer for Time
Series Analysis
Create a Runtime for Serving Containerised R Functions on 'AWS
Lambda'
Probabilistic Models to Analyze and Gaussianize Heavy-Tailed,
Skewed Data
Maximum Likelihood Estimation of Latent Variable Models
Log-Analytic Methods for Multiplicative Effects
Statistical Inference via Lancaster Correlation
Analysing Landscape Composition and Structure at Multiple Scales
Landmark Estimation of Survival and Treatment Effect
Topographic Position Index-Based Landform Classification
Landmark Prediction with Multiple Short-Term Events
Landmark Prediction of a Survival Outcome
Radiometric and Topographic Correction of Satellite Imagery
Landscape Metrics for Categorical Map Patterns
Langevin Analysis in One and Two Dimensions
Analyzing Linguistic Data: A Practical Introduction to
Statistics
Automated Setup and Auto Run for R Language Server
Complete Environment for Bayesian Inference
Local Average Response Functions for Instrumental Variable
Estimation of Treatment Effects
Testing Large VARs for the Presence of Cointegration
Estimation of Lifetime Attributable Risk of Cancer from
Radiation Exposure
Least Angle Regression, Lasso and Forward Stagewise
Modelling Interactions in High-Dimensional Data with
Backtracking
High-Dimensional Lasso Generalized Estimating Equations
Nonparametric P-Value Estimation for Predictors in Lasso
Sparsed Sliced Inverse Regression via Lasso
Evaluation of the Role of Control Variables in Structural
Equation Models
Draws Diagrams Useful for Checking Latent Scales
Inference on LATEs under Network Interference of Unknown Form
Converting Latent Variables into Likert Scale Responses
Bayesian Model Averaging for Univariate Link Latent Gaussian
Models
Fast Computation of Latent Correlations for Mixed Data
Latent Position and Cluster Models for Statistical Networks
Utilities for Scheduling Functions to Execute Later with Event
Loops
Functions to Calculate Common Laterality Statistics in
Primatology
Linear Approach to Threshold with Ergodic Rate for Reaction
Times
Diff TeX, 'rmarkdown' or 'quarto' Files Using the 'latexdiff'
Utility
Write Equations in a Way that You Can Read
A Framework for Clustering Longitudinal Data
Extra Graphical Utilities Based on Lattice
Multi-Resolution Kriging Based on Markov Random Fields
Helper Functions for Printing 'lavaan' Outputs
Convenience Functions for Package 'lavaan'
Graphical User Interface with Integrated 'Diagrammer' for
'Lavaan'
Path Diagrams for 'Lavaan' Models via 'DiagrammeR'
Lava Estimation for the Sum of Sparse and Dense Signals(3
Methods)
Tools for Model Specification in the Latent Variable Framework
Lava Estimation for the Sum of Sparse and Dense Signals
Latent (Variable) Analysis with Bayesian Learning
Tools for Biostatistics, Public Policy, and Law
Loglikelihood Adjustment for Extreme Value Models
Persistent Large Data Array with Lazy-Loading on Demand
Progress Bar with Remaining Time Forecast Method
Delayed Read for 'GDAL' Vector Data Sources
Learn Computer and Data Science using Algorithmic Trading
Latent Budget Analysis for Compositional Data
Limited Memory BFGS Minimizer with Bounds on Parameters with
optim() 'C' Interface
Log Binomial Regression Model in Exact Method
Implementation of Logistic Box-Cox Regression
The Length-Biased Power Garima Distribution
Log-Binomial Regression with Constrained Optimization
Latent Class Analysis (LCA) with Familial Dependence in Extended
Pedigrees
Variable Selection for Latent Class Analysis
Data sets for package ``LMERConvenienceFunctions''
A Bayesian Multi-Dimensional Couple-Based Latent Risk Model
Extended Mixed Models Using Latent Classes and Latent Processes
Liquid Chromatography/Mass Spectrometry (LC/MS) Quality
Assessment
Simple Tools to Compute Landscape Connectivity Metrics
Ordinal Outcomes: Generalized Linear Models with the Log Link
Bayesian Joint Latent Class and Regression Models
Univariate and Bivariate Latent Change Score Modelling
Local Correlation, Spatial Inequalities, Geographically Weighted
Regression and Other Tools
Collapsed Gibbs Sampling Methods for Topic Models
Linkage Disequilibrium of Ancestry (LDA) and LDA Score (LDAS)
Biplot Graphical Interface for LDA Models
Analysis of Data from Limiting Dilution Assay (LDA) with or
without Cellular Cooperation
Selection of Statistically Similar Research Groups
Prototype of Multiple Latent Dirichlet Allocation Runs
User-Friendly Interface for Review of Scientific Literature
Oblique Classification Trees with Uncorrelated Linear
Discriminant Analysis Splits
Latent Dirichlet Allocation Coupled with Time Series Analyses
Tuning of the Latent Dirichlet Allocation Models Parameters
Interactive Visualization of Topic Models
Lan-DeMets Method for Group Sequential Boundaries
Linkage Disequilibrium Corrected by the Structure and the
Relatedness
Longitudinal Drift-Diffusion Mixed Models (LDDMM)
Hidden Markov Model for Financial Time-Series Based on Lambda
Distribution
Calculating Linkage Disequilibrium (LD) in Human Population
Groups of Interest
Testing Hypotheses About the Microbiome using the Linear
Decomposition Model
Linkage Disequilibrium Shrinkage Estimation for Polyploids
The Artificial Neural Networks Algorithm Leabra
Rapid Digital Image Analysis of Leaf Area
Provides Drill Down Functionality for 'leaflet' Choropleths
High-Performance 'WebGl' Rendering for Package 'leaflet'
Create Interactive Web Maps with the JavaScript 'Leaflet'
Library
'ESRI' Bindings for the 'leaflet' Package
Extra Functionality for 'leaflet' Package
Leaflet Map Plugin for Drawing and Editing
Include Tables, Images and Graphs in Leaflet Pop-Ups
Calculates the Leaf Area Index (LAD) and Other Related Functions
Silhouette to Area Ratio of Tilted Surfaces
Localized Ensemble of Approximate Gaussian Processes
Latent Effect Adjustment After Primary Projection
Border and Area Estimation of Data Measured with Additive Error
Functions for Learning Bayesian Inference
Data and Functions to Accompany the Book "Learning R"
Elemental Descriptive and Inferential Statistics
OECD PISA Datasets from 2000-2018 in an Easy-to-Use Format
'R6'-Based Flexible Framework for Permutation Tests
Functions, Data Sets and Vignettes to Aid in Learning Principal
Components Analysis (PCA)
Population Genetic Simulations & Numerical Analysis
Datasets and Code Examples from P. J. Aphalo's "Learn R" Book
Learn Supervised Classification Methods Through Examples and
Code
Learning and Communicating Linear Mixed Models Without Data
Modelling Pathways and Movement Potential Within a Landscape
Utilities for Importing Data from Plain Text Accounting Files
Laboratory of Teaching to Statistics and Mathematics
Historical and Ahistorical Population Projection Matrix Analysis
Interface to the Comparative Legislators Database
Latent Environmental & Genetic InTeraction (LEGIT) Model
Grab Longitudinal Employer-Household Dynamics (LEHD) Flat Files
R Implementation of Leiden Clustering Algorithm
Implements the Leiden Algorithm via an R Interface
R and C/C++ Wrappers to Run the Leiden find_partition() Function
Length-Based Multispecies Analysis by Numerical Simulation
Create Simple 'Shiny' Applications as Packages
Implements Parsimonious Finite Mixtures of Multivariate
Elliptical Leptokurtic-Normals
Non-Smooth Regularization for Structural Equation Models
Vectorised Nested if-else Statements Similar to CASE WHEN in
'SQL'
Data Handling and Analysis in Macroecology
Find Related Items and Lexical Dimensions in a Lexicon
Plot Lexis Diagrams for Demographic Purposes
Extractive Summarization of Text with the LexRank Algorithm
Log Fold Change Distribution Tools for Working with Ratios of
Counts
Estimation of the Local False Discovery Rates by Type II Maximum
Likelihood Estimation
Estimating Local False Discovery Rates Using the Method of
Moments
Estimating Local False Discovery Rates Using Empirical Bayes
Methods
Quality Control for Label-Free Proteomics Expression Data
Calculation of Low Flow Statistics for Daily Stream Flow Data
Locally Gaussian Distributions: Estimation and Methods
Simulation and Estimation of Log-GARCH Models
Collection of Tools for LGD Rating Model Development
Tests for Genetic Association/Gene-Environment Interaction in
Longitudinal Studies
Example Datasets for a Learning Guide to R
Set-Based Tests for Genetic Association in Longitudinal Studies
A Set of Methods for Longitudinal Data Objects
Fit Sex-Specific Life History Models with Missing
Classifications
Various Utilities for Library Science/Assessment and Cataloging
Linear Test Statistics for Permutation Inference
Open Source Geometry Engine ('GEOS') C API
Linear Predictive Models Based on the LIBLINEAR C/C++ Library
Design of Optimum-Path Forest Classifiers
Libraries, Data Dictionaries, and a Data Step for R
Linearized Bregman Algorithms for Generalized Linear Models
Install, Update, Load Packages from CRAN, 'GitHub', and
'Bioconductor' in One Step
Library Snapshot for Packages and Dependencies in Use by Current
Session
The LIC Criterion for Optimal Subset Selection
Forest Analysis with Airborne Laser Scanning (LiDAR) Data
Airborne LiDAR Data Manipulation and Visualization for Forestry
Applications
Real-Time PCR Data Sets by Lievens et al. (2012)
Financial and Actuarial Mathematics for Life Contingencies
Manage the Life Cycle of your Package Functions
Framework for Traditional Life Insurance Contracts
Modelling Traditional Life Insurance Contracts
Life and Fertility Tables Specially for Insects
Two-Parameter HMD Model Life Table System
Wavelet Lifting Estimators of the Hurst Exponent for Regularly
and Irregularly Sampled Time Series
Containerize R Markdown Documents for Continuous Reproducibility
A Bootstrap Proportion Test for Brand Lift Testing
Process Data from Wearable Light Loggers and Optical Radiation
Dosimeters
Tools for Communication with Lightning-Viz Server
From 'Rmarkdown' and 'Quarto' Files to Tibble and Back
Implementation of the 'Lights Out' Puzzle Game
Methods for Maximum Likelihood Estimation
Likelihood Analyses for Common Statistical Tests
Synthesise and Correlate Rating-Scale Data
Metabolomics Personalized Pathway Analysis Tool
For Implementation of Feed Reduction, Learning Examples, NLP and
Code Management
Linear Inverse Model Examples and Solution Methods
Multivariate Data Visualization with Tours and Embeddings
Working with 'LimeSurvey' Surveys and Responses
Differential Analysis of Rhythmic Transcriptome Data
Quantify Rhythmicity and Differential Rhythmicity in Genomic
Data
Perform Polynomial Evaluation of Linearity
Binning and Plotting of Linearly Referenced Data
Static Univariate Frequentist and Bayesian Linear Calibration
Linear Biomarker Combination: Empirical Performance Optimization
Sampling Multivariate Normal Distribution under Linear
Constraints
Functions to Explore L-Systems (Lindenmayer Systems)
Minimum Distance Estimation in Linear Regression Model
Tagging and Validating Epidemiological Data
Bayesian Analysis of Epidemic Data Using Line List and Case
Count Approaches
'HTMLWidget' Wrapper of 'LineUp' for Visual Analysis of
Multi-Attribute Rankings
Fast Linguistic Distance and Alignment Computation
Interlinear Glossed Linguistic Examples and Abbreviation Lists
Generation
Easy Linguistics Document Writing with R Markdown
Linking Geographic Information Systems, Remote Sensing and Other
Command Line Tools
Clustering Communication Networks Using the Stochastic Topic
Block Model Through Linkage.fr
Plot Linkage Group Maps with Quantitative Trait Loci
Tools for Generating, Visualizing, and Analysing Link
Communities in Networks
Linked Emulator of a Coupled System of Simulators
Access to 'LinkedIn' Ads via the 'Windsor.ai' API
Bivariate Correlations Calculation and Visualization
Generate Concentration-Time Profiles from Linear PK Systems
Interactive Interpretation of Linear Regression Models
Manipulation of Linear Systems of (in)Equalities
Lipid Annotation for LC-MS/MS DDA or DIA Data
Integrative Visualizations of the Lipidome
Elegant Tools for Processing and Visualization of Lipidomics
Data
Computes and Visualize Lipinski's Parameters
Implements Queue, PriorityQueue and Stack Classes
Statistical Methods for the Item Count Technique and List
Experiment
Incomplete Array with Arbitrary R Objects as Indices
A Toolbox for Working with R Arrays in a Functional Programming
Style
Tests of independence based on the Longest Increasing
Subsequence
'htmlwidget' for Interactive Views of R Lists
Latent Interaction Testing for Genome-Wide Studies
Likelihood-Based Inference for Time Series Extremes
Lightweight Portable Message Queue Using 'SQLite'
Random Forests for Multiple Imputation Based on 'ranger'
Dataset and Tools to Research the Riddle of Literary Quality
Fit a Collection of Curves to Single Cohort Decomposition Data
Liu Regression with Liu Biasing Parameters and Statistics
Local Interpretable (Model-Agnostic) Visual Explanations
Leveraging Learning to Automatically Manage Algorithms
Logit Leaf Model Classifier for Binary Classification
Interface for Large Language Model APIs in R
Data Analysis of Liquid-Liquid Systems using R
Add Standardized Regression Coefficients to Linear-Model-Objects
A Self-Adaptive Approach for Demodulating Multi-Component Signal
Linear Fixed/Mixed Effects Models for Diallel Crosses
Linear Mixed-Effects Models using 'Eigen' and S4
Information Matrices for 'lmeStruct' and 'glsStruct' Objects
Model Selection and Post-Hoc Analysis for (G)LMER Models
Bootstrap Methods for Nested Linear Mixed-Effects Models
Perform Permutation Test on General Linear and Mixed Linear
Regression
Add Smoothing Spline Modelling Capability to `nlme`
Functions for Estimation and Inference of Selection in
Age-Structured Populations
Filter Methods for Parameter Estimation in Linear and Non Linear
Regression Models
Helper Functions for Linear Model Analysis
Fit Latent Multivariate Mixed Effects Location Scale Models
Repeated Measurement Models for Discrete Times
Inference for Linear Models with Nuisance Parameters
Advanced L-Moment Fitting of Distributions
L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments,
and Many Distributions
(Precipitation) Frequency Analysis and Variability with
L-Moments from 'lmom'
Regional Frequency Analysis using L-Moments
Easy Import of the EU Labour Market Policy Data
An Algorithm for Gene Co-Expression Analysis
Data and Functions Used in Linear Models and Regression with R:
An Integrated Approach
Linear Ridge Regression with Ridge Penalty and Ridge Statistics
Exact Variable-Subset Selection in Linear Regression
Non-Parametric Causal Effects of Feasible Interventions Based on
Modified Treatment Policies
A Package to Visualize Linear Models Features and Play with Them
Long Non-Coding RNA Differential Expression Analysis
LncRNA Identification and Analysis Using Heterologous Features
Identifying the Pathways Regulated by LncRNA Sets of Interest
LogNormal Response Time Item Response Theory Models
Perform Logistic Normal Multinomial Clustering for Microbiome
Compositional Data
Bayesian Mixture Log-Normal Survival Model
Estimation and Testing for a Lognormal-Pareto Mixture
Loadings for Principal Component Analysis and Partial Least
Squares
Producing Load Shape with Target Peak and Load Factor
Generalized Spline Mixed Effect Models for Longitudinal Breath
Data
Models the Capture Processes in American Lobster Trap Fishery
Local Bootstrap Methods for Various Networks
Nonparametric Methods for Generating High Quality Comparative
Effectiveness Evidence
Local Likelihood Inference for Conditional Copula Models
Localization Processes for Functional Data Analysis
Estimation of Marginal Treatment Effects using Local
Instrumental Variables
LIME-Based Explanations with Interpretable Inputs Based on
Ceteris Paribus Profiles
Package for Sequence Analysis by Local Score
Detection and Localization of Executable Files
Identification of Location Game Equilibria in Networks
Geographically-Conscious Taxonomic Assignment for Metabarcoding
Local Regression, Likelihood and Density Estimation
Test of Stationarity and Localized Autocovariance
Datasets for "Statistics: UnLocking the Power of Data"
Locally Sparse Estimator of Generalized Varying Coefficient
Model for Asynchronous Longitudinal Data
Fast Implementation of (Local) Population Stratification Methods
Low-Rank Decomposition of Brain Connectivity Matrices with
Uniform Sparsity
Dependency-Free Access to PNG Image Files
Genome-Wide Association Analysis of a Biomarker Accounting for
Limit of Detection
Limit of Detection Imputation for Single-Pollutant Models
Linear Model Fitting with LOD Covariates
Data Sets from "Lectures on Econometrics" by Chirok Han
Text Rendering with Bitmap and Vector Fonts
A Fast and Lightweight Logging System for R, Based on 'log4j'
Log File Analysis in International Large-Scale Assessments
Relative Risk Regression Using the Log-Binomial Model
Log-Concave Density Estimation in Arbitrary Dimensions
Maximum Likelihood Estimation of a Log-Concave Density Based on
Censored Data
Estimate a Log-Concave Probability Density from Iid Observations
Estimate a Log-Concave Probability Mass Function from Discrete
i.i.d. Observations
A Lightweight, Modern and Flexible Logging Utility
Salary Analysis by the Swiss Federal Office for Gender Equality
Binning Variables to Use in Logistic Regression
Identifying Interactions Between Binary Predictors
Logistic Regression with Misclassification in Dependent
Variables
A Copula Based Extension of Logistic Regression
Linear and Logistic Regression-Based Reliable Change Index
Adjusted Relative Risk from Logistic Regression
Functional Principal Components Logistic Regression
Functions for the Logitnormal Distribution
Logit Models w/Preference & WTP Space Utility Parameterizations
Computing Log-Transformed Kernel Density Estimates for Positive
Data
Double Log Normal Distribution Functions
Log-Multiplicative Models, Including Association Models
Functions for the Lognormal Distribution
Natural Logarithms of the Gamma Function for Large Values
A Logging Utility Focus on Clinical Trial Programming Workflows
Routines for Logspline Density Estimation
Kernel Regression Smoothing with Local or Global Plug-in
Bandwidth
Longitudinal Dataframes into Arrays for Machine Learning
Training
Recursive Partitioning for Longitudinal Data and Right Censored
Data Using Baseline Covariates
Model-Based Clustering and Classification for Longitudinal Data
A Tool for 'Covariate'-Sensitive Longitudinal Analysis on
'omics' Data
Statistical Methods for the Analysis of Excess Lifetimes
High Dimensional Longitudinal Data Analysis Using MCMC
Nonparametric Predictive Model for Sparse and Irregular
Longitudinal Data
Statistics for Long-Memory Processes (Book Jan Beran), and
Related Functionality
Longitudinal Consensus Clustering with 'flexmix'
Sample Size Calculations for Longitudinal Data
Viral Quasispecies Comparison from Long-Read Sequencing Data
Time-Dependent Prognostic Accuracy with Multiply Evaluated Bio
Markers or Scores
Recursive Partitioning of Longitudinal Data
Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian
Models
Leave One Out Kernel Density Estimates for Outlier Detection
Data Used to Illustrate 'Loon' Functionality
Automatically Create a 'Shiny' App Based on Interactive 'Loon'
Widgets
A Collection of Tools to Conduct Levins' Loop Analysis
Comprehensive Feedback Loop Detection in ODE Models
Integration and Analysis of Chromatin Loop Data
Lowest Radial Distance Method of Marginal Likelihood Estimation
Logistic Ordinal Regression Differential Item Functioning using
IRT
LOw Rand and sparsE Covariance matrix estimation
The Lorentz Transform in Relativistic Physics
Tools for Deriving Income Inequality Estimates from Grouped
Income Data
Imputation of High-Dimensional Count Data using Side Information
Lightening One-Code Resolving Microbial Ecology Solution
Missing Morphometric Data Simulation and Estimation
A Simple Way to Specify Symmetric, Block Diagonal Matrices
Lottery Datasets from Caixa Economica Federal
A Collection of Lovecraftian Tales and Texts
Local Partial Autocorrelation Function Estimation for Locally
Stationary Wavelet Processes
Detecting New Signals under Background Mismodelling
Lassoed Principal Components for Testing Significance of
Features
Boundary Adaptive Local Polynomial Conditional Density Estimator
Local Polynomial Density Estimation and Inference
Nonparametric Smoothing of Laplacian Graph Spectra
Ecological Inference by Linear Programming under Homogeneity
Local Polynomial Estimators of the Intensity Function and Its
Derivatives
Local Projections Impulse Response Functions
LP Nonparametric High Dimensional K-Sample Comparison
Local Partial Likelihood Estimation and Simultaneous Confidence
Band
Linear Parametric Models Applied to Hydrological Series
Merging Linkage Maps by Linear Programming
Calculates Power, Sample Size, or Detectable Effect for
Longitudinal Analyses
Linear Predictor Score, for Binary Inference from Multiple
Continuous Variables
Interface to 'Lp_solve' v. 5.5 to Solve Linear/Integer Programs
R Interface to 'lp_solve' Version 5.5.2.0
Lag Penalized Weighted Correlation for Time Series Clustering
Robust Group Variable Screening Based on Maximum Lq-Likelihood
Estimation
Dose Response Signal Detection under Model Uncertainty
A Package for Processing Lexical Response Data
Estimate and Test Exponential vs. Pareto Distributions
Sources an R "Module" with Caching & Encapsulation, Returning
Exported Vars
Different Types of Estimators to Deal with Multicollinearity
Low Rank Matrix Factorization S3 Objects
Power and Sample Size Calculation for Non-Proportional Hazards
and Beyond
Likelihood Ratio Tests and Confidence Intervals
Locally Stationary Two-Dimensional Wavelet Process Estimation
Scheme
A Multiscale Test of Spatial Stationarity for LS2W Processes
Applied Latent Semantic Analysis (LSA) Functions
Daten, Beispiele und Funktionen zu 'Large-Scale Assessment mit
R'
Functions to Facilitate the Simulation of Large Scale Assessment
Data
Least-Squares Bilinear Clustering for Three-Way Data
Bandwidth Selection for Level Sets and HDR Estimation
Interface Tools for LSD Simulation Results Files
Impulse-Response Function Analysis for Agent-Based Models
Sensitivity Analysis Tools for LSD Simulations
Constrained Least Squares and Generalized QR Factorization
Bootstrap Methods for Regression Models with Locally Stationary
Errors
Solving Least Squares or Quadratic Programming Problems under
Equality/Inequality Constraints
Semi-Confirmatory Structural Equation Modeling via Penalized
Likelihood or Least Squares
Estimation of the log Likelihood of the Saturated Model
American options pricing with Least Squares Monte Carlo method
Value American and Real Options Through LSM Simulation
Nonparametric Estimation and Inference Procedures using
Partitioning-Based Least Squares Regression
Lysate and Secretome Peptide Feature Plotter
Linear Splines with Convenient Parametrisations
Companion to "Learning Statistics with R"
The Accelerated Failure Time Model to Right Censored Data Based
on Least-Squares Principle
Land Surface Temperature Retrieval for Landsat 8
Data and Software for "Lessons in Statistical Thinking"
Estimation of Low Rank Plus Sparse Structured Vector
Auto-Regressive (VAR) Model
Simulation and Spectral Estimation of Locally Stationary Wavelet
Packet Processes
Semi-Supervised Algorithm for Document Scaling
Functions to Replicate the Center for Disease Control and
Prevention's 'LTAS' Software in R
Latent Transition Cognitive Diagnosis Model with Covariates
Educational Dataset Examples from the Long Term Ecological
Research Program
Extract Color Palettes from Photos and Pick Official LTER
Palettes
Tools Developed by the Long Term Ecological Research Community
Left-Truncated Mixtures of Gamma, Weibull, and Lognormal
Distributions
Longitudinal Targeted Maximum Likelihood Estimation
LTPD and AOQL Plans for Acceptance Sampling Inspection by
Variables
Ensemble Methods for Survival Data with Time-Varying Covariates
Survival Trees to Fit Left-Truncated and Right-Censored and
Interval-Censored Survival Data
Sparse Principal Component Based on Least Trimmed Squares
Lightweight Sparklines for a LaTeX Document
Likelihood Inference from Case-Control Data under Covariate
Assumptions
Package to Download and Create the DB of LUCAS Data Harmonized
Printing Floating Point Numbers in a Human-Friendly Format
Light Use Efficiency Model to Estimate Biomass and YIELD with
and Without Vapour Pressure Deficit
Supporting Functions Maintained by Zhen Lu
Comprehensive Luminescence Dating Data Analysis
Calculate Lunar Phase & Distance, Seasons and Related
Environmental Factors
Latent Variable Gaussian Process Modeling with Qualitative and
Quantitative Input Variables
Stochastic EM Algorithms for Latent Variable Models with a
High-Dimensional Latent Space
An Automated Approach to Evaluating Dose-Effect Experiments
Following Litchfield and Wilcoxon (1949)
Simulate Evapotranspiration and Soil Moisture with the SVAT
Model LWF-Brook90
Bindings to Selected 'liblwgeom' Functions for Simple Features
Exact Spike Train Inference via L0 Optimization
Movement to Behaviour Inference using Random Forest
Multi-Modal Similarity Matrix Factorization for Integrative
Multi-Omics Data Analysis
Multi-Modal Similarity Matrix Joint Factorization
Multi-Modal Matrix Joint Factorization for Integrative
Multi-Omics Data Analysis
Package About Data Manipulation in Pure Base R
Analysis of Alternative Polyadenylation Using 3' End-Linked
Reads
Maximum Approximate Bernstein/Beta Likelihood Estimation
Multi-Armed Bayesian Ordinal Utility-Based Sequential Trial
Behavioural Studies of Large Language Models
Mediation Analysis of Causality under Confounding
Molecular Acquisition, Cleaning, and Evaluation in R 'MACER'
Retrieve Data from MacLeish Field Station
Measures of Uncertainty for Model Selection
A Tool for Mapping the Distribution of the Biomes and Bioclimate
Colombian Macro-Financial Time Series Generator
Draw Ordered Oxford Grids and Chord Diagrams
Fresh Water Quality Analysis Based on Macrozoobenthos
Mediation Analysis for Count and Zero-Inflated Count Data
Persian Text Mining Tool for Frequency Analysis, Statistical
Analysis, and Word Clouds
Persian Text Mining Tool for Co-Occurrence Network
'MADGRAD' Method for Stochastic Optimization
Fast Data Aggregation, Modification, and Filtering with Pipes
and 'data.table'
Automatic Differentiation of Multivariate Operations
MHC Allele-Based Differencing Between Populations
May All Data be Reproducible and Transparent (MADRaT) *
Support Technical Processes Following 'Maelstrom Research'
Standards
A Flexible Microarray Data Simulation Model
Interface for Masked Autoregressive Flows
Data Class and Tools for Handling Spatial-Temporal Data
Mixed Model Association Test for GEne-Environment Interaction
Pretty Scientific Plotting with Minor-Tick and Log Minor-Tick
Support
Magic Functions to Obtain Results from for Loops
Advanced Graphics and Image-Processing in R
GUI Tools for Interactive Image Processing with 'magick'
Clustering and Prediction using Multi-Task Gaussian Processes
with Common Mean
R-Client for Interacting with the 'UCSF Data Library'
A Pipeline for Meta-Genome Wide Association
Implements the O'Connell-Dobson-Schouten Estimators of Agreement
for Multiple Observers
A Graphical User Interface for Microarray Data Analysis and
Annotation
Assessing the Numerical Feasibility for Conducting a
Matching-Adjusted Indirect Comparison (MAIC)
Get Mailchimp Data via the 'Windsor.ai' API
Mail Merge Using R Markdown Documents and 'gmailr'
Creates a Friendly User Interface for Emails Sending in 'shiny'
k-Means Algorithm with a Majorization-Minimization Method
Create Dummy Variables from Categorical Data
Intuitive Construction of Joint Priors for Variance Parameters
Creates an empty package framework for the LCFD format
Exploring and Testing the Toolchain and System Libraries
Multiple Approximate Kernel Learning (MAKL)
Machine Learning Assisted Network Inference
An R Interface to Open-Access Malaria Data, Hosted by the
'Malaria Atlas Project'
Automated MALDI Cell Assays Using Dose-Response Curve Fitting
Dereplicate and Cherry-Pick Mass Spectrometry Spectra
Quantitative Analysis of Mass Spectrometry Data
MALDI Mass Spectrometry Data Robust Pre-Processing and Analysis
Run Multiple Large Language Model Predictions Against a Table,
or Vectors
An R Wrapper for the Java Mallet Topic Modeling Toolkit
Islas Malvinas, Georgias Del Sur y Sándwich Del Sur
Providing the Kubernetes-Like Functions for the Non-Kubernetes
Cloud Service
Matrix Analysis and Normalization by Concordant Information
Enhancement
Multivariate Analysis for Neuroimaging Data
Building Mandalas from Parametric Equations of Classical Curves
Multiple Allocation Model for Actor-Event Networks
Interactive Q-Q and Manhattan Plots Using 'plotly.js'
Access and Process Data and Documents of the Manifesto Project
An R Interface to the 'ROPTLIB' Library for Riemannian Manifold
Optimization
Add Even More Interactivity to Interactive Charts
Manly Mixture Modeling and Model-Based Clustering
Tools for Normalizing and Comparing ChIP-seq Samples
Resampling-Based Analysis of Multivariate Data and Repeated
Measures Designs
Multivariate Asymptotic Non-Parametric Test of Association
A Machine-Learning Based Tool to Automate the Identification of
Biological Database IDs
Mediation, Moderation and Moderated-Mediation After Model
Fitting
Publication-Ready Tables for 'manymome' Results
Many Ways to Make, Modify, Map, Mark, and Measure Myriad
Networks
Multiple Testing Procedures of Cox (2011) and Wong and Cox
(2007)
Tools for Matrix Algebra, Optimization and Inference
Mapping Markers to the Nearest Genomic Feature
MAP-Bayesian Estimation of PK Parameters
Tools for Plotting Canadian Choropleth Maps and Choropleth
Alternatives
China Administrative Divisions Geospatial Shapefile Data
Interactive Maps Using 'Mapbox GL JS' and 'Deck.gl'
Interactive Editing of Spatial Data in R
Mapping Smoothed Effect Estimates from Individual-Level Data
Interactive Maps with 'Mapbox GL JS' and 'MapLibre GL JS'
Create Contour Polygons from Regular Grids
Efficient Monitoring of Global Biodiversity Portfolios
Spatial Visualisation of Admixture on a Projected Map
Construct and Visualize TDA Mapper Graphs
Topological Data Analysis: Mapper Algorithm
Automatic Download, Linking, Manipulating Coordinates for Maps
Functions for Transforming Categorical Variables
'sf'-Compatible Interface to 'Google Maps' APIs
Print Maps, Draw on Them, Scan Them Back in
Local Adaptation and Evaluation of Raster Maps
Geographic Display of Survey Data Statistics
Mapping, Pruning, and Graphing Tree Models
Interactive Viewing of Spatial Data in R
Multiplicative AR(1) with Seasonal Processes
Robust Marginal Bayesian Variable Selection for Gene-Environment
Interactions
Migration and Range Change Estimation in R
Estimation of Meiotic Recombination Rates Using Marey Maps
Approximate Marginal Inference for Regression-Scale Models
Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis
Tests
Shiny Module for a Markdown Input with Result Preview
Mark-Recapture Analysis for Survival and Abundance Estimation
Marker Gene Detection via Penalized Principal Component Analysis
Market Matching and Causal Impact Inference
Tidy Calculation of Marketing Metrics Plus Quick Analysis
Estimation Methods for Markets in Equilibrium and Disequilibrium
Markov Chain Models for Phylogenetic Trees
Easy Handling Discrete Time Markov Chains
Markov Chain-Based Cost-Optimal Control Charts
Mixture of Markov Chains with Support of Higher Orders and
Multiple Sequences
Methods for Checking the Markov Condition in Multi-State
Survival Data
Statistical Significance of the Markowitz Portfolio
Marginal Modeling for Exposure Data with Values Below the LOD
Import, Plot and Analyze Bathymetric and Topographic Data
Matching on Poset-Based Average Rank for Multiple Treatments
(MARMoT)
A Parallelized General-Purpose Optimization Based on
Marquardt-Levenberg Algorithm
Markdown Parser and Renderer for R Graphics
Plots a Tree-Like Representation of a Numerical Variable
(Marradi's Tree)
A Hybrid Spatial Model for Capturing Spatially Varying
Relationships Between Variables in the Data
Revealing Splicing Dynamics at Single-Cell Resolution
Marginal Mediation Effects with Zero-Inflated Compositional
Mediator
Mandallaz' Model-Assisted Small Area Estimators
Visual Class for Vectors with Non-Publishing Requirements
Support Functions and Datasets for Venables and Ripley's MASS
Competitive Gene Sets Test with the Mann-Whitney-Wilcoxon Test
Body Mass Estimation Equations for Vertebrates
Quality Control and Analysis of Massachusetts Water Quality Data
Model-Averaged Tail Area (MATA) Confidence Interval and
Distribution
Estimate Group Average Treatment Effects with Matching
Multivariate and Propensity Score Matching with Balance
Optimization
Nonparametric Preprocessing for Parametric Causal Inference
Combining Matching and Linear Regression for Causal Inference
Optimal Multilevel Matching using a Network Algorithm
Pattern Matching and Enumerated Types in R
Matching and Weighting Multiply Imputed Datasets
A Code Converter from the Matlab/Octave Language to R
Assess Mating Potential in Space and Time
Translate R Expressions to 'MathML' and 'LaTeX'/'MathJax'
Support for the 'Mathpix' API (Image to 'LaTeX')
An Interface for MATLAB using System Calls
Matrix Functions for Teaching and Learning Linear Algebra and
Multivariate Statistics
Model Averaging-Assisted Optimal Transfer Learning
Generates Raven-Like Matrices According to Rules
Sparse and Dense Matrix Classes and Methods
Collection of Functions for Matrix Calculations
Determines Clustering Threshold Based on Similarity Values
Matrix eQTL: Ultra Fast eQTL Analysis via Large Matrix
Operations
Parsimonious Families of Hidden Markov Models for Matrix-Variate
Longitudinal Data
Normalized Laplacian Matrix and Laplacian Map
Penalized Matrix-Normal Linear Discriminant Analysis
Model-Based Clustering via Matrix-Variate Mixture Models
Modelling with Sparse and Dense Matrices
Working with Matrices over Finite Prime Fields
Simulations of Matrix Variate Distributions
Creating, Manipulating and Annotating Matrix Ensemble
Functions that Apply to Rows and Columns of Matrices (and to
Vectors)
Tests of Matrix Structure for Construct Validation
Fast Statistical Hypothesis Tests on Rows and Columns of
Matrices
An Implementation of Matrix Mathematics that Respects Row and
Column Names
Decision Models with Multi Attribute Utility Theory
'FASTA' ML and ‘altall’ Sequences from IQ-TREE .state Files
The Group Sequential Max-Combo Test for Comparing Survival
Curves
Perform Phonological Analyses using Maximum Entropy Optimality
Theory
Selecting the Best Set of Relevant Environmental Variables along
with the Optimal Regularization Multiplier for Maxent Niche
Modeling
Space-Filling Design under Maximin Distance
Inference for Maximin Effects in High-Dimensional Settings
Maximum Likelihood Estimation and Related Tools
Model Species Distributions by Estimating the Probability of
Occurrence Using Presence-Only Data
Maximum Matching for General Weighted Graph
Fitting 'Maxent' Species Distribution Models with 'glmnet'
Orthogonal Data Projections with Maximal Skewness
Apply a PCA Like Procedure Suited for Multivariate Extreme Value
Distributions
Manage Spatial Metadata for Known Locations
Thematic Plots for Mazama Spatial Datasets
Spatial Data Download and Utility Functions
Core Functionality for Environmental Time Series
Mediation Analysis for Zero-Inflated Mediators
Monotonic Association on Zero-Inflated Data
The Use of Marginal Distributions in Conditional Forecasting
Multiblock Exploratory and Predictive Data Analysis
Maxwell Boltzmann Bose Einstein Fermi Dirac Distribution and
Destruction Rate Modelling
Statistical Functions for the
Maxwell-Boltzmann-Bose-Einstein-Fermi-Dirac (MBBEFD) Family of
Distributions
Multivariate Bias Correction of Climate Model Outputs
Companion Package for the Book "Model-Based Clustering and
Classification for Data Science"
Moment-Based Estimation for Hierarchical Models
Spatial Designs for Ecological and Environmental Surveys
Run Time-Course Model-Based Network Meta-Analysis (MBNMA) Models
Estimation and Inference for Structural Breaks in Linear
Regression Models
Exploration of Multiple Biomarker Responses using Effect Size
Median Bias Reduction in Binomial-Response GLMs
Multivariate Bayesian Sparse Group Selection with Spike and Slab
Multivariate Bayesian Model with Shrinkage Priors
Multivariate Bayesian Structural Time Series
Bayesian Variable Selection Methods for Multivariate Data
A Monte Carlo Based Heterogeneity Test for Meta-Analysis
Tools for Two-Dimensional Monte-Carlo Simulations
Optimal Nonparametric Testing of Missing Completely at Random
Multivariate Cauchy Distribution; Kullback-Leibler Divergence
Monte Carlo Simulation for Surface Backscattering
Matrix Computation Based Identification of Prime Implicants
Visualizing Class Specific Heterogeneous Tendencies in
Categorical Data
Creates the MCC-F1 Curve and Calculates the MCC-F1 Metric and
the Best Threshold
Analysis of Matched Case Control Data with a Mismeasured
Exposure that is Accompanied by Instrumental Variables
Support for the Multicriteria Decision Aiding Process
Maximum Likelihood Estimation for Generalized Linear Mixed
Models
Machine Coded Genetic Algorithms for Real-Valued Optimization
Problems
Markov Chain Gaussian Fields Simulation and Parameter Estimation
Warnes and Raftery's 'MCGibbsit' MCMC Run Length and Convergence
Diagnostic
Monte Carlo Hypothesis Tests with Sequential Stopping
Multiplicative Competitive Interaction (MCI) Model
Estimating the Minimal Clinically Important Difference
Multinomial Logit Models, with or without Random Effects or
Overdispersion
Gaussian Mixture Modelling for Model-Based Clustering,
Classification, and Density Estimation
Estimating and Testing Intergenerational Social Mobility Effect
Mapping First Moment and C-Statistic to the Parameters of
Distributions for Risk
Bayesian Analysis of Multivariate Counts Data in DNA
Metabarcoding and Ecology
Posterior Distribution of Extreme Value Models in R
Ensemble Sampler for Affine-Invariant MCMC
Functions to Store, Manipulate and Display Markov Chain Monte
Carlo (MCMC) Output
Precision of Discrete Parameters in Transdimensional MCMC
Markov Chain Monte Carlo Small Area Estimation
Prepare MCMCtree Analyses and Plot Bayesian Divergence Time
Analyses Estimates on Trees
Tools to Visualize, Manipulate, and Summarize MCMC Output
A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem
Estimating Public and Private Sector Contraceptive Market Supply
Shares
Multiple Criteria Optimization Algorithms and Related Functions
Monte Carlo Solution of First Order Differential Equations
Creates New Folders and Loads Standard Practices for Monterey
County Office of Education
Objects and Methods for Multi-Companion Matrices
Multiple Comparisons Using Normal Approximation
A Simplified Interface for Running Commands on Parallel
Processes
Design and Analysis of Dose-Finding Studies
Improved Inference in Multiple Comparison Procedure – Modelling
A Supplement to the 'DoseFinding' Package for the General Case
Simulation-Based Design and Analysis of Dose-Finding Trials
Testing Generalized Linear Hypotheses for Generalized Linear
Model Parameters by Profile Deviance
Progress Bars and Messages for Parallel Processes
Processing and Analyzing of Diagnostics Trials
Method Comparison Regression - Mcr Fork for M- And MM-Deming
Regression
Determine the Optimal Number of Clusters
Visualize Results of Statistical Hypothesis Tests
Monte Carlo Statistical Simulation Tools Using a Functional
Approach
Tools to Process the Munich ChronoType Questionnaire (MCTQ)
Selecting Bandwidth for Kernel Density Estimator with Minimum
Distance Method
Produces Markdown Log File with a Built-in Function Call
Markdown Parser Implemented using the 'MD4C' Library
Mixture and Flexible Discriminant Analysis
Inferring Causal Network from Mixed Observational Data Using a
Directed Acyclic Graph
Multivariate Data Analysis for Chemometrics
Modified Detecting Deviating Cells Algorithm in
Pharmacovigilance
Measuring the Difference Between Two Empirical Distributions
Implementing the Method of Direct Estimation and Inference
Missing Data Imputation Using Gaussian Copulas
Multivariate Double Hierarchical Generalized Linear Models
Multi-Dimensional MA Normalization for Plate Effect
Molecular Detection Mapping and Analysis Platform
Inference of Quadratic Functional for Moderate-Dimensional OLS
Graph-Constrained Regression with Enhanced Regularization
Parameters Selection
Web Scraping and Bibliometric Analysis of MDPI Journals
Improved Score Tests for Generalized Linear Models
High Density Genetic Linkage Mapping using Multidimensional
Scaling
Searching for Optimal MDS Procedure for Metric and
Interval-Valued Data
Interactive Document for Working with Multidimensional Scaling
and Principal Component Analysis
Complement to 'Modern Data Science with R'
A Computationally Efficient Mean Shift Implementation
Make Quick Descriptive Tables for Continuous Variables
Bayesian Psychometric Measurement Using 'Stan'
Send Data from R to the Measurement Protocol
Performance Measures for Statistical Learning
Detection and Control of Tree-Ring Widths on Scanned Image
Sections
Maximum Entropy Bootstrap for Time Series
Scalar-on-Function Regression with Measurement Error Correction
Fit the Mixture of Experts Latent Position Cluster Model to
Network Data
Compare Microbial Networks of 'trans_network' Class of
'microeco' Package
Measurement Error Correction in Linear Models with a Continuous
Outcome
Decipher Microbial Turnover along a Gradient
Comprehensive Medical, Disease, Treatment, and Drug Datasets
Multi Calculator to Compute Scores of Adherence to Mediterranean
Diet
Bayesian Methods for Identifying the Most Harmful Medication
Errors
Extraction of Medication Information from Clinical Text
Flexible Mediation Analysis Using Natural Effect Models
Power and Sample Size Calculations for Clinical Trials
Mediation Analysis Based on the Product Method
Simulation-Based Sensitivity Analysis for Causal Mediation
Studies
Medical Risk and Comorbidity Tools for ICD-9-CM Data
Tools for Obtaining and Cleaning Medicare Public Use Files
Prints a Random Quote from Marcus Aurelius' Book Meditations
Morphological and Structural Features of Medicinal Leaves
Access and Search MedRxiv and BioRxiv Preprint Data
Large Scale Single Mediator Hypothesis Testing
Mixtures of Exponential-Distance Models with Covariates
Analysis of Data with Measurement Error Using a Validation
Subsample
Multivariate Data Handling in Ecology and Biogeography
Multivariate Data Handling with S4 Classes and Sparse Matrices
Perform MEFM Estimation on Matrix Time Series
Accessing and Processing a 'Mega2' Genetic Database
Multiscale Clustering of Geometrical Network
Interactive Model Exploration using 'GGobi'
Matching Event Data by Location, Time and Type
The Moving Epidemic Method Web Application
Spatial Pattern Detection in Genetic Distance Data Using Moran's
Eigenvector Maps
Management of Survey Data and Presentation of Analysis Results
In-Memory Caching of Repeated Computations (Memoization)
Testing for Structural Breaks under Long Memory and Testing for
Changes in Persistence
R Markdown and Bookdown Templates to Publish Documents
A 'rmarkdown' Template that Can be Highly Customized
Quantifying Ecological Memory in Palaeoecological Datasets and
Other Long Time-Series
Data Sets from Mixed-Effects Models in S
Creation of Empirical Density Functions Based on Multivariate
Data
Clustering and Visualizing Distance Matrices
Case-Wise and Cluster-Wise Derivatives for Mixed Effects Models
AI-Driven Code Generation, Explanation and Execution for Data
Analysis
'Mergen' Studio: An 'RStudio' Addin Wrapper for the 'Mergen'
Package
Tools to Merge Hardware Event Monitors (HEMs) Coming from
Separate Subexperiments into One Single Dataframe
Mixed Effects Regression for Linear, Non-Linear and User-Defined
Models
Performing Monte Carlo Expectation Maximization Random Forest
Imputation for Biological Data
Tools for Analyzing Mixed Effect Regression Models
Bayesian Regression with Meshed Gaussian Processes
Conveniently Issue Messages, Warnings, and Errors
Mediation Analysis with External Summary-Level Information on
Total Effect
Employs String Distance Tools to Help Clean Categorical Data
Computes the Variance-Covariance Matrix of Multidimensional
Parameters Using M-Estimation
Meta-Analyses for Simultaneously Estimating Individual Means
Meta-Analysis for Diagnostic Test Studies
An Interactive Visualisation of Meta-Analysis as a Physical
Weighing Machine
Meta-Analysis for Within-Study and/or Across-Study Biases
BLUE for Combining Location and Scale Information in a
Meta-Analysis
Bayesian Model Averaging for Random and Fixed Effects
Meta-Analysis
Probabilistic Latent Variable Models for Metabolomic Data
Datasets and Functions for Reproducing Meta-Analyses
A Biomarker Validation Approach for Classification and
Predicting Survival Using Metabolomics Signature
Basic Functions to Investigate Metabolomics Data Matrices
Normalize Metabolomic Data using QC Signal
Bayesian Meta-Analysis Using Basic Uncertain Pooling
Meta-CART: A Flexible Approach to Identify Moderators in
Meta-Analysis
Analysis of the 'Elements of Metacommunity Structure'
Visualize 'Confounder' Control in Meta-Analyses
An Automatic Suite for Estimation of Various Effect Size
Measures
A Centralized Metadata Object Focus on Clinical Trial Data
Programming Workflows
Evaluate Periodicity in Large Scale Data
Covariate-Sensitive Analysis of Cross-Sectional High-Dimensional
Data
Extract and Summarise Data from Published Figures
Tools to Read, Analyze and Visualize Metadynamics HILLS Files
from 'Plumed'
Tools to Read, Analyze and Visualize Metadynamics 3D HILLS Files
from 'Plumed'
Automated Intuitive Package for Meta-Ensemble Learning
Metapopulation Simulations for Conserving Salmon Through
Portfolio Optimization
Exploring Heterogeneity in Meta-Analysis using Random Forests
Fused Lasso Approach in Regression Coefficient Clustering
Meta-Analysis of Generalized Additive Models
Meta-Analysis for Detecting Genotype x Environment Associations
Comprehensive Research Synthesis Tools for Systematic Reviews
and Meta-Analysis
A Multivariate Meta-Analysis Model for High-Dimensional
Metabolomics Data
Transforms Statistical Measures Commonly Used for Meta-Analysis
Assessment of Inconsistency in Meta-Analysis using Decision
Thresholds
Easily Download Data and Metadata from 'DataONE'
Landscape and Range Expansion Simulation
Likelihood Inference in Meta-Analysis and Meta-Regression Models
Adverse Events Analysis Using 'metalite'
Interactive Table of Descriptive Statistics in HTML
Metagenomics Longitudinal Differential Abundance Method
Read and Analyze 'MetIDQ&trade;' Software Output Files
Microbiome Data Analysis & Meta-Analysis with GAMLSS-BEZI &
Random Effects
Meta-Analysis of Diagnosis and Prognosis Research Studies
Handling and Representing Trophic Networks in Space and Time
Natural Language Processing for Meta Analysis
Meta-Analysis of Studies with Non-Statistically Significant
Unreported Effects
Bayesian Meta-Analysis and Network Meta-Analysis
Framework to Build Mechanistic and Metabolic Constrained Species
Distribution Models
Regression Models for Meta Signal Detection Theory
Meta-Analysis using Structural Equation Modeling
Statistical Methods for Sensitivity Analysis in Meta-Analysis
Meta Analysis for SNP-Set (Sequence) Kernel Association Test
Meta Clustering with Similarity Network Fusion
Subtracting Summary Statistics of One or more Cohorts from
Meta-GWAS Results
Meta-Analysis of a Single Survival Curve
HTML Metadata Tags for 'R Markdown' and 'Shiny'
Enable the Use of 'metacore' to Help Create and Check Dataset
Utility Functions for Conducting and Interpreting Meta-Analyses
Computing Variances and Covariances, Visualization and Missing
Data Solution for Multivariate Meta-Analysis
Forest Plots, Funnel Plots, and Visual Funnel Plot Inference for
Meta-Analysis
Meta-Analytical Implementation to Identify Who Benefits Most
from Treatments
Color Palettes Inspired by Works at the Metropolitan Museum of
Art
RFSI & STRK Interpolation for Meteo and Environmental Variables
Computation and Visualization of Energetic and Vortical
Atmospheric Quantities
Mixture-of-Experts Modeling for Complex Non-Normal Distributions
Access to Spanish Meteorological Stations Services
Fitting and Plotting Tools for the Maximum Entropy Theory of
Ecology (METE)
E-Value in the Omics Data Association Studies
Analysis of Agreement in Method Comparison Studies
Identify and Rank CpG DNA Methylation Conservation Along the
Human Genome
Simulate DNA Methylation Dynamics on Different Genomic
Structures along Genealogies
Evaluating Bias and Precision in Method Comparison Studies
Advanced Method Optimization for Spectra-Generating Sampling and
Analysis Instrumentation
Separate Metabolites into Likely Measurement Artifacts and True
Metabolites
Tools for Easier Analysis of Meteorological Fields
Mine Metrics from Common Places on the Web
Weighted Metrics and Performance Measures for Machine Learning
Washington Metropolitan Area Transit Authority API
A Shiny App for Sample Size Estimation in Metabolomic
Experiments
Interface with the Meteo France Synop Data API
Fitting the Metastatistical Extreme Value Distribution MEVD
A Fixed Memeory Moving Expanding Window Average
Color Palettes Inspired by Works of Mexican Painters and
Muralists
Mexican Politics-Inspired Color Palette Generator
Identifying Master Gene Regulators from Gene Expression and
DNA-Binding Data
Measuring Ecosystem Multi-Functionality and Its Decomposition
Fast Covariance Estimation for Multivariate Sparse Functional
Data
Compute and Illustrate the Multiple Facets of Functional
Diversity
Leadership-Inference Framework for Multivariate Time Series
Maximal Fat Oxidation and Kinetics Calculation
Multivariable Fractional Polynomial Models with Extensions
Multivariate Functional Principal Component Analysis for Data
Observed on Different Dimensional Domains
Model-Free Sure Independent Screening Procedures
The Multiple Filter Test for Change Point Detection
Marginal Effects, Odds Ratios and Incidence Rate Ratios for GLMs
Computes Stationary Distribution for M/G/1 Queuing System
Simulating, Estimating and Diagnosing MGARCH (BEKK and mGJR)
Processes
Mixed GAM Computation Vehicle with Automatic Smoothness
Estimation
Visualisations for Generalized Additive Models
Marginal Analysis of Misclassified Longitudinal Ordinal Data
Multivariate Generalised Gaussian Distribution; Kullback-Leibler
Divergence
Multivariate Response Generalized Linear Models
Model Averaging for Multivariate GLM with Null Models
Estimating Time-Varying k-Order Mixed Graphical Models
Missingness Aware Gaussian Mixture Models
Interact with the Maxar 'MGP' Application Programming Interfaces
Interact with the Maxar MGP Streaming API
A Matrix-Free Multigrid Preconditioner for Spline Smoothing
Safe, Multiple, Simultaneous String Substitution
Multiscale Geographically Weighted Negative Binomial Regression
Displays GWR (Geographically Weighted Regression) and Mixed GWR
Output and Map
GWR and MGWR with Spatial Autocorrelation
Nonparametric and Semiparametric Methods for Multivariate
Failure Time Data
Analysis of MHC Data in Non-Model Species
Multilevel Hidden Markov Models Using Bayesian Estimation
Approximate Algorithm for Horseshoe Prior
Inference for Hidden Markov and Semi-Markov Models
Multiple Hypothesis Test Based on Distribution of p Values
Multiple Hypotheses Testing for Discrete Data
Multiple Hypotheses Testing for Multiple Families/Groups
Structure
Bayesian Model Selection in Logistic Regression for the
Detection of Adverse Drug Reactions
Missing Data Imputation and Model Checking
A Modular, Integrated Approach to Maximum Entropy Distribution
Modeling
Multiple Imputation in Causal Graph Discovery
Multivariate Imputation by Chained Equations
Some Additional Multiple Imputation Functions, Especially for
'mice'
Data and Statistical Analyses after Multiple Imputation
Demand Analysis with the Almost Ideal Demand System (AIDS)
Analysis with the Constant Elasticity of Substitution (CES)
Function
Econometric Production Analysis with Ray-Based Distance
Functions
Symmetric Normalized Quadratic Profit Function
Fast Imputations Using 'Rcpp' and 'Armadillo'
Multiple Imputation by Chained Equations with Multilevel Data
Multiple Imputation by Chained Equations with Random Forests
The Works (in Luxembourguish) of Michel Rodange
Multivariate Independent Comparison of Observations
Promotion Time Cure Model with Mis-Measured Covariates
Do 16s Data Analysis and Generate Figures
Statistical Methods for Microbiome Compositional Data
Biomarker Validation for Microbiome-Based Survival
Classification and Prediction
Methods for Taxonomic Classification of Prokaryotes
Utilities for Official Spanish Microdata
Microbial Community Ecology Data Analysis
Linked Micromap Plots for U. S. and Other Geographic Areas
Discrete Time Simulation of Mosquito-Borne Pathogen Transmission
Create Simple and Elegant Modal Dialogs in 'shiny'
Determining Vitamin and Mineral Status of Populations
Microplots (Sparklines) in 'LaTeX', 'Word', 'HTML', 'Excel'
Process-Based Modelling of Microbial Populations
Sequence Error Filter for Formalin-Fixed and Paraffin-Embedded
Samples
Discrete Event Simulation in R and C++, with Tools for
Cost-Effectiveness Analysis
Interface to the 'Microsoft 365' Suite of Cloud Services
Synthetic Control Methods with Micro- And Meso-Level Data
The Computing of Monotonic Spline Bases and Constrained
Least-Squares Estimates
Modified Iterative Cumulative Sum of Squares Algorithm
Bayesian Platform Design with Subgroup Efficacy
Exploration(MIDAS-2)
Estimation and Prediction Methods for High-Dimensional Mixed
Frequency Time Series Data
Multiple Imputation by Distance Aided Donor Selection
Tools and Methods for Working with MIDFIELD Data in 'R'
Microstructure Information from Diffusion Imaging
Nearly Exact Sample Size Calculation for Exact Powerful
Nonrandomized Tests for Differences Between Binomial
Proportions
A Decision-Making System for Multiple Imputation
Multiples Comparisons Procedures Based on Studentized Midrange
and Range Distributions
Multiple Imputation for Exploratory Factor Analysis
Estimate Migratory Connectivity for Migratory Animals
Methods for the Indirect Estimation of Bilateral Migration
Univariate and Multivariate Tests for Multimodal and Other
Networks
Create Credit State Migration (Transition) Matrices
Graphical User Interface to the 'mi' Package
Learning Causal or Non-Causal Graphical Models Using Information
Theory
IPW and Mean Score Methods for Time-Course Missing Data
Exploratory Factor Analysis Using Model Implied Instrumental
Variables
Model Implied Instrumental Variable (MIIV) Estimation of
Structural Equation Models
User-Friendly R Package for Supervised Machine Learning
Pipelines
Calculates Microbial Lag Duration (on the Population Level) from
Provided Growth Curve Data
Multiple-Instance Learning with Support Vector Machines
Association Tests for Microbial Lineages on a Taxonomic Tree
Mixed Logistic Regression for Genome-Wide Analysis Studies
(GWAS)
Multiple-Instance Logistic Regression with LASSO Penalty
Multivariate Imputation by Mahalanobis Distance Optimization
Data Wrangling for Antimicrobial Resistance Studies
Main Effects and Interactions in Mixed and Incomplete Data
Metabolomics-Based Models for Imputing Risk
Mixture of Multilayer Integrator Stochastic Block Models
Algorithm to Compute Monitor Independent Movement Summary Unit
(MIMS-Unit)
Calculate MIMS Dissolved Gas Concentrations Without Getting a
Headache
Multivariate Model Based Inference for Domains
Data sets included in Utts and Heckard's Mind on Statistics
Extract and Analyze Median Molecule Intensity from 'citrus'
Output
A Bayesian Design for Minimum Effective Dosing-Finding Trial
Maximal Information-Based Nonparametric Exploration for Variable
Analysis
All Possible Minimally Changed Factorial Run Orders
Minimization Methods for Ill-Conditioned Problems
Create a Mini Version of CRAN Containing Only Selected Packages
Create Simple Yet Powerful HTML Documents with Light Weight CSS
Frameworks
Implementation of Remez Algorithm for Polynomial and Rational
Function Approximation
Survival Distributions with Piece-Wise Constant Hazards
Implementation of the minMSE Treatment Assignment Method for One
or Multiple Treatment Groups
R Interface to the Levenberg-Marquardt Nonlinear Least-Squares
Algorithm Found in MINPACK, Plus Support for Bounds
Derivative-Free Optimization Algorithms by Quadratic
Approximation
Encode "License-Plates" from Sequences and Decode Them Back
Multidimensional Iterative Proportional Fitting and Alternative
Models
An Open-Source Tool for Visualization of Climate Mitigation
Scenarios
Minimalist Async Evaluation Framework for R
Left-Censored Recurrent Events Survival Models
Measurement Invariance Assessment Using Random Effects Models
and Shrinkage
Microbiome Regression-Based Kernel Association Tests
Genome-Wide Discovery of Pre-miRNAs with few Labeled Examples
Computerized Adaptive Testing with Multidimensional Item
Response Theory
Joint Maximum Likelihood Estimation for High-Dimensional Item
Factor Analysis
SVD-Based Estimation for Exploratory Item Factor Analysis
Linear Regression and Logistic Regression with Missing
Covariates
Miscellaneous Useful Functions Including LaTeX Tables, Kalman
Filtering, QQplots with Simulation-Based Confidence Intervals,
Linear Regression Diagnostics and Development Tools
Misclassified Interval Censored Time-to-Event Data
Computation of Generalized Linear Models with Misclassified
Covariates Using Side Information
Miscellaneous Functions for Metabarcoding Analysis
Variable Selection for Multiply Imputed Data
Multiple Imputation with Sequential Penalized Regression
Partial Replacement Imputation Estimation for Missing Covariates
Microbiome Based Sum of Powered Score (MiSPU) Tests
Ensemble Conditional Trees for Missing Data Imputation
Intuitive Missing Data Imputation Framework
Change Point Detection with Missing Values
Simulating and Analyzing Time to Event Data in the Presence of
Population Mortality
Comparing Observed and Imputed Values under MAR and MCAR
Nonparametric Missing Value Imputation using Random Forest
Missing Value Imputation using Random Forest for Prediction
Settings
Handles Missing Dates and Data and Converts into Weekly and
Monthly from Daily
Missing Outcome Data in Health Economic Evaluation
Handling Missing Values with Multivariate Data Analysis
Testing Homoscedasticity, Multivariate Normality, and Missing
Completely at Random
Missingness in Multi-Task Regression with Network Estimation
Missing Plot Technique in Design of Experiment
Handling Missing Data in Stochastic Block Models
Self-Organizing Maps with Built-in Missing Data Imputation
Access the Michigan Substance Use Vulnerability Index (MI-SUVI)
Tools for Multiple Imputation in Multilevel Modeling
Quantification of Mitochondrial DNA Heteroplasmy
Tools for Multiple Imputation of Missing Data
Cybersecurity MITRE Standards Data and Digraphs
Multiple Imputation Using Weighted Quantile Sum Regression
Estimation/Multiple Imputation for Mixed Categorical and
Continuous Data
Multivariate Normal Mixture Models and Mixtures of Generalized
Linear Mixed Models Including Model Based Clustering
Clustering and Classification using Model-Based Mixture Models
Observed Fisher Information Matrix for Finite Mixture Model
Mixed Effects Cumulative Link and Logistic Regression Models
Mixture Model for the Deconvolution of Thermal Decay Curves
Cluster High Dimensional Categorical Datasets
Bayesian Longitudinal Regularized Quantile Mixed Model
Sparse Canonical Correlation Analysis for High-Dimensional Mixed
Data
Tests of Randomness and Tests of Independence
Mixed, Low-Rank, and Sparse Multivariate Regression on
High-Dimensional Data
Tools for Discrete Multivariate Mixed Membership Models
Statistical Tools for the Analysis of Psychophysical Data
Estimation Methods for Stochastic Differential Mixed Effects
Models
Design and Analysis of Mixture Experiments
Evaluation of the FIM in NLMEMs using MCMC
Model Based Clustering, Classification and Discriminant Analysis
Using the Mixture of Generalized Hyperbolic Distributions
Mixture of Multiple Highly Variable Feature Selection Methods
Genetics and Independence Testing of Mixed Genetic Panels
Omics Data Integration Using Kernel Methods
Simulated Maximum Likelihood Estimation of Mixed Logit Models
for Large Datasets
Mixture of Longitudinal Factor Analysis Methods
Mixed Model ANOVA and Statistics for Education
Classification with Matrix Variate Normal and t Distributions
An Extended Mixed-Effects Framework for Meta-Analysis
Design and Analysis of Order-of-Addition Mixture Experiments
Mixed Poisson Regression for Overdispersed Count Data
Finite Mixture Modeling for Raw and Binned Data
Plotting and Average Theta Functions for Multiple Class Mixed
Rasch Models
A Random-Forest-Based Approach for Imputing Clustered Incomplete
Data
Mixtures of Multivariate Shifted Asymmetric Laplace (SAL)
Distributions
Mixture Models: Parametric, Semiparametric, and Robust
Simulating Data to Study Performance of Clustering Algorithms
Fitting Finite Mixture of Scale Mixture of Skew-Normal
Distributions
Mixtures of Power Exponential and Skew Power Exponential
Distributions for Use in Model-Based Clustering and
Classification
Sequential Quadratic Programming for Fast Maximum-Likelihood
Estimation of Mixture Proportions
Clustering Using Mixtures of Sub Gaussian Stable Distributions
Tools for Analyzing Finite Mixture Models
Dose Response Curve Fitting and Mixture Toxicity Assessment
Modelling Continuous Report Visual Short-Term Memory Studies
Mixture Models for Clustering and Classification
Robust and Flexible Model-Based Clustering for Data Sets with
Missing Values at Random
Large-Scale Hypothesis Testing by Variance Mixing
Analysis and Exploration of Mixed Microbial Genomic Samples
Variable Length Markov Chains with Covariates
Dynamic Multi-Species Size Spectrum Modelling
2D and 3D Movement-Based Kernel Density Estimates (MKDEs)
Matrix Kendall's Tau and Matrix Elliptical Factor Model
Kinetic Evaluation of Chemical Degradation Data
A Modern K-Means (MKMeans) Clustering Algorithm
Power Analysis and Sample Size Calculation
Efficient Multi-Level k-Circulant Supersaturated Designs
Maximum Likelihood Inference on Multi-State Trees
Variational Autoencoder Models for IRT Parameter Estimation
Abstract Classes for Building 'scikit-learn' Like API
Create 'ggplot2' and 'gt' Visuals with Major League Baseball
Logos
Major League Baseball Player Statistics Calculator
Latent Class Item Response Theory (LC-IRT) Models under
Within-Item Multidimensionality
Classification Models with Copula Functions
Collection of Machine Learning Datasets for Supervised Machine
Learning
Exploratory Data Analysis and Manipulation of Multi-Label Data
Sets
R Ultimate Multilabel Dataset Repository
Resampling Algorithms for Multi-Label Datasets
Maximum Likelihood Estimation of Various Univariate and
Multivariate Distributions
Expected/Observed Fisher Information and Bias-Corrected Maximum
Likelihood Estimate(s)
Machine Learning Algorithms with Unified Interface and Confusion
Matrices
Asymptotic Efficient Closed-Form Estimators for Multivariate
Distributions
Computation of the MLE for Bivariate Interval Censored Data
Maximum Likelihood Estimates of Gaussian Processes
MLE for Normally Distributed Data Censored by Limit of Detection
Multilevel Exponential-Family Random Graph Models
Iterative Proportional Fitting Algorithms for Nested Structures
Datasets for Use with Salvan, Sartori and Pace (2020)
Single and Multiple Imputation with Automated Machine Learning
R6-Based ML Learners for 'mlexperiments'
Maximum Likelihood Estimation of DNA Methylation and
Hydroxymethylation Proportions
Model Selection in Multivariate Longitudinal Data Analysis
Estimating Frequencies, Prevalence and Multiplicity of Infection
Power Analysis and Data Simulation for Multilevel Models
Examples from Multilevel Modelling Software Review
Machine Learning Algorithms for Multivariate Time Series
Bayesian Model Averaging for Multinomial Logit Models
'Rcpp' Integration for the 'mlpack' Library
Maximum Likelihood Estimation of the Niche Preemption Model
Multi-Label Prediction Using Gibbs Sampling (and Classifier
Chains)
A Power Analysis Toolbox to Find Cost-Efficient Study Designs
Algorithms for Class Distribution Estimation
Analysis and Visualisation of Benchmark Experiments
Collection of Machine Learning Data Sets for 'mlr3'
Fairness Auditing and Debiasing for 'mlr3'
Extending 'mlr3' to Functional Data Analysis
Filter Based Feature Selection for 'mlr3'
Preprocessing Operators and Pipelines for 'mlr3'
Resampling Algorithms for 'mlr3' Framework
Support for Spatial Objects Within the 'mlr3' Ecosystem
Spatiotemporal Resampling Methods for 'mlr3'
Easily Install and Load the 'mlr3' Package Family
Composable Preprocessing Operators and Pipelines for Machine
Learning
Model-Based Optimization for 'mlr3' Through 'mlrMBO'
Bayesian Optimization and Model-Based Optimization of Expensive
Black-Box Functions
Stepwise Regression with Assumptions Checking
Long-Run Variance Estimation in Time Series Regression
Efficient Estimation of Bayesian SBMs & MLSBMs
Use the MLS Junk Generator Algorithm to Generate a Stream of
Pseudo-Random Numbers
Support Compatibility Between 'Maelstrom' R Packages and 'Opal'
Environment
R6-Based ML Survival Learners for 'mlexperiments'
Most Likely Transformations: Documentation and Regression Tests
Multilevel Latent Time Series Models with 'R' and 'Stan'
A Stochastic Block Model for Multilevel Networks
Mean Length-Based Estimators of Mortality using TMB
Gene Expression Datasets for the 'MM2S' Package
Inference of Linear Mixed Models Through MM Algorithm
Multiple Mediation Analysis for Big Data Sets
Data for Mathematical Modeling and Applied Calculus
MM Algorithm Based on the Assembly-Decomposition Technology
Mathematical Morphology in Any Number of Dimensions
Processing of Accelerometry Data with 'GGIR' in mMARCH
Arbitrary Dependency Mixed Multivariate Bayesian Models
Mixed Multivariate Cumulative Incidence Functions
Modeling Complex Longitudinal Data in a Quick and Easy Way
Minimal Multilocus Distance (MMD) for Source Attribution and
Loci Selection
Multivariate Multinomial Distribution Approximation and
Imputation for Incomplete Categorical Data
Robust Estimation of Copulas by Maximum Mean Discrepancy
Detecting Differentially Variable Genes Using the Mixture of
Marginal Distributions
Estimation of Multinormal Mixture Distribution
Multi-Study Multi-Modality Generalized Factor Model
Bayesian Informative Hypotheses Evaluation Web Applications
Cluster Adjusted t Statistic Applications
Microbe-Metabolite Interactions-Based Metabolic Profiles
Predictor
Informative Hypothesis Testing Web Applications
Fitting Markov-Modulated Linear Regression Models
Simultaneous Inference for Multiple Linear Contrasts in GEE
Models
Multi-Omic Spectral Clustering using the Flag Manifold
Modern Measures of Population Differentiation
Modeling Multivariate Origins Determinants - Evolutionary
Lineages in Ecology
Implementation of Marker-Assisted Mini-Pooling with Algorithm
Integrative Analysis of Several Related Data Matrices
Various Similarity and Distance Metrics for Marked Point
Processes
Case Classification and Selection Based on Regression Results
Access to Teaching Materials from a ZIP File or GitHub
Missing Multivariate Bayesian Variable Selection
Convert Dates to MMWR Day, Week, and Year
Clustering Data with Non-Ignorable Missingness using
Semi-Parametric Mixture Models
Diagnostic Tools for a Multivariate Negative Binomial Model
Multiplex Network Differential Analysis (MNDA)
Modeling Group Differences and Moderation Effects in Statistical
Network Models
Easy Downloading Capabilities for the Members' Name Information
Service
Simulated Predicted Probabilities for Multinomial Logit Models
Interactive Shiny Presentation for Working with Multinomial
Logistic Regression
Multivariate Nonparametric Methods. An Approach Based on Spatial
Signs and Ranks
A Generator of Multivariate Non-Normal Random Numbers
The Multivariate Normal and t Distributions, and Their Truncated
Versions
MNREAD Parameters Estimation and Curve Plotting
Affine Invariant Tests of Multivariate Normality
Calculates Transition Matrices and Mobility Indices
Spatial Simulation and Scale-Dependent Analysis of Biodiversity
Changes
Multi-Objective Clustering Algorithm Guided by a-Priori
Biological Knowledge
Multi-Objective Optimization for Collecting Cluster Alternatives
Modeling for Single-Cell Open Chromatin Analysis
Lightweight and Self-Contained Modules for Code Organization
Extraction of Bands from MODIS Surface Reflectance Product MOD09
NRT
Moderation Analysis for Two-Instance Repeated Measures Designs
Association of Covariance for Detecting Differential
Co-Expression
Multiscale Analysis for Density Functions
Stratified and Personalised Models Based on Model-Based Trees
and Forests
Estimation of Model-Based Predictions, Contrasts and Means
More Data Sets Useful for Modeling Examples
Make Static HTML Website for Predictive Models
Provide Tools to Register Models for Use in 'tidymodels'
Classes and Methods for Training and Using Binary Prediction
Models
Combine Statistical Models into a Tibble for Comparison
Model-Free Estimation of a Psychometric Function
A Framework for Creating, Managing and Training Multiple 'caret'
Models
Functions to Assess the Business Impact of Churn Prediction
Models
Compare Models with Cross-Validated Log-Likelihood
Modeling and Map Production using Random Forest and Related
Stochastic Models
Create Model Matrix and Save the Transforming Parameters
A Model Object Framework for Regression Analysis
Modelling Functions that Work with the Pipe
Modelling Infectious Disease Superspreading from Contact Tracing
Data
Interactive Studio for Explanatory Model Analysis
Summary Tables and Plots for Statistical Models and Data:
Beautiful, Customizable, and Publication-Ready
Testing Infrastructure for Broom Model Generics
The Tidymodels Extension for Time Series Modeling
Ensemble Algorithms for Time Series Forecasting with Modeltime
Resampling Tools for Time Series Forecasting
Tools and Classes for Statistical Models
An Implementation of Two Modern Education-Based Value-Added
Models
Mode Estimation, Even in the Multimodal Case
Modeling and Analysis of Stochastic Systems
A 'shiny' Module for Reading Excel Sheets
Multivariate Outlier Detection and Imputation for Incomplete
Survey Data
Modified Versions of Mann Kendall and Spearman's Rho Trend Tests
Fast and Efficient Access to MODIS Earth Observation Data
Interface to the 'MODIS Land Products Subsets' Web Services
Calculating Marginal Effects and Levels with Errors
Community Structure Detection via Modularity Maximization
'MatLab'-Style Modeling of Optimization Problems
Latent Interaction (and Moderation) Analysis in Structural
Equation Models (SEM)
Building Regression and Classification Models
Estimate ED50 Based on Modified Turning Point Method
Gaussian Parsimonious Clustering Models with Covariates and a
Noise Component
Interact with Moscow Exchange Informational and Statistical
Server ('ISS')
Multiobjective Genetic Algorithm for Variable Selection in
Regression
A Serialization-Style Flattening and Description for JSON
Dental Surface Complexity Measurement Tools
Armadillo Client for the Armadillo Service
'OpenID Connect' Discovery and Authentication
Multiple Objective Latin Hypercube Design
Model Selection with Bayesian Methods and Information Criteria
Moment-Matching Methods for Weighted Sums of Chi-Squared Random
Variables
Moments, Cumulants, Skewness, Kurtosis and Related Tests
Maximum Likelihood Analysis of Animal Movement Behavior Using
Multivariate Hidden Markov Models
Moments of Folded and Doubly Truncated Multivariate
Distributions
An R API Wrapper for the Monash University Probabilistic Footy
Tipping Competition
A Simple Graphical Representation of the Relative Occurrence and
Co-Occurrence of Events
Monitoring Overall Survival in Pivotal Trials in Indolent
Cancers
Multi-Layer Perceptron Neural Network with Optional Monotonicity
Constraints
Monotonic Binning for Credit Rating Models
Shiny User Interface for 'monobin' Package
Easily Create, View and Use Monochrome Colour Palettes
Perform Monothetic Clustering with Extensions to Circular Data
Estimation for MVN and Student-t Data with Monotone Missingness
Explore Monophyly of Taxonomic Groups in a Phylogeny
Bayesian Monotonic Regression Using a Marked Point Process
Construction
Nonparametric Estimation and Inference of a Monotone Hazard
Ratio Function
Test for Monotonicity in Expected Asset Returns, Sorted by
Portfolios
Automatic Parallelized Monte Carlo Simulations
Core Mathematical Functions for Multi-Objective Optimization
Easily Create Fully Randomized 'Moodle' Test Questions
Helper Functions to Work with 'Moodle' Data
Functions and Datasets for the Book by Keon-Woong Moon
Mean Squared Out-of-Sample Error Projection
Collection of Datasets Pertaining to Loop 1 "Mopac"
Basic Quality Data Assurance for Epidemiological Research
A Toolbox for Conditional Inference Trees and Random Forests
Interpretation Tools for Partial Least Squares Regression
3D Segmentation of Voxels into Morphologic Classes
Calculations and Visualisations Related to Geometric
Morphometrics
Morphometric Maps, Bone Landmarking and Cross Sectional Geometry
Analysis of Regionalization Patterns in Serially Homologous
Structures
Computation and Visualization of Adaptive Landscapes
Historical Agricultural Data from the University of Illinois
Modelling Reproduction and Survival Data in Ecotoxicology
Identifying Potential Mortalities and Expelled Tags in Aquatic
Acoustic Telemetry Arrays
Analysis of Archaeological Mortality Data
The Double-Gap Life Expectancy Forecasting Model
Parametric Mortality Models, Life Tables and HMD
A Framework for Various Types of Mortality / Life Tables
Estimation and Projection of Age-Specific Mortality Rates
Project MOSAIC Statistics and Mathematics Teaching Utilities
R-Language Based Calculus Operations for Teaching
Common Utilities for Other MOSAIC-Family Packages
An Interface to Statistical Modeling Independent of Model
Architecture
Moving Sum Based Procedures for Changes in the Mean
Learning Hybrid Bayesian Networks using Mixtures of Truncated
Basis Functions
Effect Size and Confidence Interval Calculator
Motif-Based Spectral Clustering of Weighted Directed Networks
Analyzing Paired Neuron Discharge Times for Time-Domain
Synchronization
Mountain Plots, Folded Empirical Cumulative Distribution Plots
Mouse Trajectory Analyses for Behavioural Scientists
Visualizing and Analyzing Animal Track Data
Processing and Analysing Animal Trajectories
Calculation of Slope-Dependant Accumulated Cost Surface,
Least-Cost Paths, Least-Cost Corridors, Least-Cost Networks
Related to Human Movement Across the Landscape
Visualizing and Quantifying Space Use Data for Groups of Animals
Animal Movement Modelling using Hidden Markov Models
Analysis and Visualisation of Musical Audio and Video Movement
Synchrony Data
Estimate Wind Speeds from Bird Trajectories
Visualizing the Decision Rules Underlying Binary Classification
Mixtures of von Mises-Fisher Distributions
Metodos Predictivos de Aprendizaje Estadistico (Statistical
Learning Predictive Methods)
Easily Handling Data from the ‘m-Path’ Platform
Process and Analyse Data from m-Path Sense
Treatment Allocation in Clinical Trials by the Maximal Procedure
Multivariate Process Capability Indices (MPCI)
Data Sets and Scripts for Modeling Psychophysical Data in R
A Two-Step Approach to Testing Overall Effect of
Gene-Environment Interaction for Multiple Phenotypes
Computation of Multidimensional Poverty Index (MPI)
Calculate Alkire-Foster Multidimensional Poverty Measures
Graphical Model Stability and Variable Selection Procedures
An R Package for Facilitating Large-Scale Latent Variable
Analyses in Mplus
Parallel Processing Automation for 'Mplus'
Decision Trees with Structural Equation Models Fit in 'Mplus'
Simulation of Matrix Population Models with Defined Life History
Characteristics
Most Probable Number and Other Microbial Enumeration Techniques
Symbolic Computation and More with Multivariate Polynomials
Power Analysis via Monte Carlo Simulation for Correlated Data
Estimating Through the Maximum Product Spacing Approach
Modelling Phylogenetic Signals using Eigenvector Maps
Mass-Preserving Spline Functions for Soil Data
Analyze Multinomial Processing Tree Models
Multiverse Analysis of Multinomial Processing Tree Models
Data Sets from Montgomery, Peck and Vining
Standardized Comparison of Workflows in Mass Spectrometry-Based
Bottom-Up Proteomics
Modelling and Quantitative Methods in Fisheries
Penalized Inverse-Variance Weighted Estimator for Mendelian
Randomization
Two Sample Mendelian Randomization using Robust Adjusted Profile
Score
Multivariate Bidirectional Mendelian Randomization Networks
Ratios of Coefficients in the General Linear Model
Bayesian Summary Data Models for Mendelian Randomization Studies
Scale Space Multiresolution Analysis of Random Signals
Multi-Visit Closed Population Mark-Recapture Estimates
Multivariate Regression with Covariance Estimation
Outlier Detection of Functional Data Based on the Minimum
Regularized Covariance Trace Estimator
Methods for Analyzing Multiple Response Categorical Variables
(MRCVs)
Fits Regression Models When the Outcome is Partially Missing
Access Data from Marineregions.org: Gazetteer & Data Products
Markov Random Field Models for Image Analysis
Fitting and Predicting Large-Scale Nonlinear Regression Problems
using Multi-Resolution Functional ANOVA (MRFA) Approach
Markov Random Fields with Additional Covariates
Depth Measures in Multivariate, Regression and Functional
Settings
Multi-Reader Multi-Case Analysis of Variance
Sample Size Estimations for Planning Multi-Reader Multi-Case
(MRMC) Studies Without Pilot Data
A Causal Mediation Method with Methylated Region (MR) as the
Mediator
Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for GWAS
Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for
Genome-Wide Association Study with Graphical User Interface
Parallelized Minimum Redundancy, Maximum Relevance (mRMR)
PC Algorithm with the Principle of Mendelian Randomization
Minimal Clinically Important Difference and Response Shift
Effect for Health-Related Quality of Life
MDL Multiresolution Linear Regression Framework
Regression Analysis for Very Large Data Sets via Merge and
Reduce
Multi-Resolution Scanning for Cross-Sample Differences
Primary and Secondary Analyses for Micro-Randomized Trials
A Sample Size Calculator for Micro-Randomized Trials
Sample Size Calculator for MRT with Binary Outcomes
Multivariate Fay Herriot Models for Small Area Estimation
Multivariate Small Area Estimation using Hierarchical Bayesian
Method
Multi-Step Adaptive Estimation Methods for Sparse Regressions
Estimate Sample Size to Detect Bacterial Contamination in a
Product Lot
Multiscale Bernstein Polynomials for Densities
Data Sets for Courses at the Münster School of Business
Hazard of Multi-Stage Clonal Expansion Models
Chart Generation for 'Microsoft Word' and 'Microsoft PowerPoint'
Documents
Automated Classification of Mass Spectra
Multivariate Synthetic Control Method Using Time Series
Combine Data from Positive and Negative Ionization Mode Finding
Common Entities
Multiscale Change Point Detection via Gradual Bandwidth
Adjustment in Moving Sum Processes
Analyzing Gene Tree Quartets under the Multi-Species Coalescent
Tests of Multispecies Coalescent Gene Tree Simulator Output
R Client for the Microsoft Cognitive Services Text Analytics
REST API
R Client for the Microsoft Cognitive Services 'Text-to-Speech'
REST API
R Client for the Microsoft Cognitive Services Web Language Model
REST API
Bayesian Inference for Multivariate Stochastic Differential
Equations
Metabolite Set Enrichment Analysis for Loadings
Spectral Entropy for Mass Spectrometry Data
Data and Functions for the Book Modern Statistical Graphics
A library to serialize or unserialize data in MessagePack format
Degrees of Freedom of Elastic Net, Adaptive Lasso and
Generalized Elastic Net
Extends Messages, Warnings and Errors by Adding Levels and Log
Files
Multiplicative SHAP Values for Two-Part Models
An R Package for Exploring Molecular Signatures Database
MSigDB Gene Sets for Multiple Organisms in a Tidy Data Format
Micro Simulation Model for Cervical Cancer Prevention
Bayesian Monotonic Single-Index Regression Model with the Skew-T
Likelihood
Multiscale Inference for Nonparametric Time Trend(s)
Improved Techniques to Estimate Trend, Velocity and Acceleration
from Sea Level Records
Multi-State Markov and Hidden Markov Models in Continuous Time
Functions and Datasets for "Methods of Statistical Model
Estimation"
Finite Mixtures of Mallows Models with Spearman Distance for
Full and Partial Rankings
Model Selection Based on Machine Learning (ML)
Multivariate Statistical Methods with R Applications
Data Sets and Functions Used in Multivariate Statistics: Old
School by John Marden
CORe Multiple Sclerosis Outcomes Toolkit
A Modified Sequential Probability Ratio Test (MSPRT)
Multi-State Reliability Demonstration Tests (MSRDT)
Library Search Against Electron Ionization Mass Spectral
Databases
Helper Functions for Second Primary Cancer Analyses
Tools to Work with Microsoft SQL Server Databases via 'RODBC'
Data Preparation, Estimation and Prediction in Multi-State
Models
A Collection of DIF Tests for Multistage Tests
Hypothesis Testing for Markov Switching Models
Procedures to Generate Patterns under Multistage Testing
Multivariate Symmetric Uncertainty and Other Measurements
Data-Driven Estimation for Multi-Threshold Accelerate Failure
Time Model
Single Valued Neutrosophic Kruskal-Wallis and Mann Whitney Tests
Multi-Trait Analysis of Rare-Variant Association Study
Bayesian Estimation of Multivariate Threshold Autoregressive
Models
My Toolbox for Assisting Document Editing and Data Presenting
Mass Transportation Distance Rank Histogram
Maximum Tangent Likelihood Estimation for Robust Linear
Regression and Variable Selection
A Procedure for Multicollinearity Testing using Bootstrap
Sample Size and Power for Association Studies Involving
Mitochondrial DNA Haplogroups
Unsupervised Multi-Task and Transfer Learning on Gaussian
Mixture Models
Survival Prediction with Multi-Task Logistic Regression
Multi-Task Prediction using Stacking Algorithms
A Shiny Application for Automatic Measurements of Tree-Ring
Widths on Digital Images
All-Purpose Toolkit for Analyzing Multivariate Time Series (MTS)
and Estimating Multivariate Volatility Models
Multivariate Time Series Data Imputation
Accessing the Red List of Montane Tree Species of the Tropical
Andes
Methods in Mahalanobis-Taguchi (MT) System
Multiple Counting Process Structure for Survival Analysis
Generate MUAC and BMI z-Scores and Percentiles for Children and
Adolescents
Data on Freedom of Information Act Requests
Relative Risk Based on the Ratio of Median Unbiased Estimates
Hazard Function Estimation in Survival Analysis
Exploring Data with Tree Data Structures
Enrichment Analysis using Multiple Ontologies and False
Discovery Rate
Functions for Pre-Processing Data for Multivariate Data
Visualisation using Tours
Generates Muller Plot from Population/Abundance/Frequency
Dynamics Data
Create, Modify and Visualize Multi-Layered Networks
Some Multivariate Analyses using Structural Equation Modeling
Regression and Clustering in Multivariate Response Scenarios
Optimal Allocation in Stratified Sampling
Multivariate Analysis Using Biplots in R
Simultaneous Inference in General Parametric Models
Multivariate Version of the Diebold-Mariano Test
Multiple Equivalence Tests and Simultaneous Confidence Intervals
Optimal Exact Tests for Multiple Binary Endpoints
GEE Solver for Correlated Nominal or Ordinal Multinomial
Responses
Multi Action Button for 'Shiny' Applications
Apply Functions to Multiple Multidimensional Arrays or Vectors
Finite Difference Method for Multi-Asset Option Valuation
Multicountry Term Structure of Interest Rates Models
Sensitivity Analysis for Multiple Biases in Meta-Analyses
Multiblock Data Fusion in Statistics and Machine Learning
Tests for a Structural Change in Multivariate Time Series
Evaluating Multinomial Order Restrictions with Bridge Sampling
A Companion to the Multi-CAST Collection
A Generic Convex-Hull-Based Model Selection Method
Build MultiClass Pair-Based Classifiers using TSPs or RF
Flexible Modeling of Multivariate Count Data via the
Multivariate Conway-Maxwell-Poisson Distribution
High-Dimensional Covariate-Augmented Overdispersed Multi-Study
Poisson Factor Model
Collinearity Detection in a Multiple Linear Regression Model
Permutations of Multisets in Cool-Lex Order
Multivariate Difference Between Two Groups
Multivariate Analysis and Visualization for Biological Data
Multivariate Functional Additive Mixed Models
Multiple Contrast Tests for Functional Data
Multiverse Analyses for Conditioning Data
Multiscale Fisher's Independence Test for Multivariate
Dependence
Analysis of Ecological Drivers on Ecosystem Multifunctionality
Read Fixed Width Format Files Containing Lines of Different Type
Variable Selection in Sparse Multivariate GLARMA Models
Probability Models and Statistical Analysis of Random
Multigraphs
MultiGroup Method and Simulation Data Analysis
Group-Sequential Procedures with Multiple Hypotheses
Enables Efficient Joining of Data File on Common Fields using
the Unix Utility Join
Estimation and Inference for Multi-Kink Quantile Regression
Transitive Index Numbers for Cross-Sections and Panel Data
Multidimensional Latent Class Item Response Theory Models
Estimate Bayesian Multilevel Models for Compositional Data
Utility Functions for Multilevel Mediation Analysis
Multilevel and Mixed Effects Model Diagnostics and Effect Sizes
Estimates and Plots Single-Level and Multilevel Latent Class
Models
Multifile Record Linkage and Duplicate Detection
Capture-Mark-Recapture Analysis using Multiple Non-Invasive
Marks
Latent Variable Model to Infer Food Intake from Multiple
Biomarkers
Fit Mixture Models Using the Expectation Maximisation (EM)
Algorithm
Harmonizing Various Comorbidity, Multimorbidity, and Frailty
Measures
MULTIplex NEtworks with Shared Structure
Analysis and mining of multilayer social networks
Bayesian Network Meta-Analysis of Individual and Aggregate Data
Simultaneous Confidence Intervals for Multinomial Proportions
According to the Method by Sison and Glaz
Clustering Multinomial Count Data under the Presence of
Covariates
Bayesian Inference for Multinomial Models with Inequality
Constraints
Provides Test Functions for Multivariate Integration
Fits Multivariate Spatio-Temporal Occupancy Model
Generation of Multivariate Ordinal Variates
Infrastructure to Assemble Multi-Panel Figures (from Grobs)
A Package to Test for Multi-Trait Association
Estimating Multiple Breakpoints for a Sequence of Realizations
of Bernoulli Variables
Test and Detection of Explosive Behaviors for Time Series
Addressing Detection Limits by Cumulative Probability Models
(CPMs)
Weighted Cox-Regression for Nested Case-Control Data
Asymptotic Covariance Matrix of Regression Models for Multiple
Outcomes
Additive and Multiplicative Null Models for Multiple Stressor
Data
Algebraic Tools for the Analysis of Multiple Social Networks
Multiplier Data Envelopment Analysis and Cross Efficiency
Calculate Multivariate Richness via UTC and sUTC
Fast Cross-Validation for Multi-Penalty Ridge Regression
Multiply Robust Methods for Missing Data Problems
Calculating and Visualizing ROC and PR Curves Across Multi-Class
Classifications
Bias, Precision, and Power for Multi-Level Random Regressions
Reconstruction of Clones from Integration Site Readouts and
Visualization
Selecting Combinations of Predictors by Leveraging Multiple AUCs
for an Ordered Multilevel Outcome
Estimation of Accuracy in Multisite Machine-Learning Models
Causal Mediation Analysis in Multisite Trials
Measures, Tests and Removes Multivariate Skewness
Clustering a Data Set using Multi-SOM Algorithm
Spectral Analysis Tools using the Multitaper Method
Functions for the Courses Multivariate Analysis and Computer
Intensive Methods
Penalized Estimation of Multiple-Subject Vector Autoregressive
(multi-VAR) Models
Measuring Multivariate Dependence Using Distance Multivariance
Models Multivariate Cases Using Random Forests
Extensible Data Structures for Multivariate Analysis
Multiple Imputation for Multivariate Data
Variable Selection in a Multivariate Linear Model
Cooperative Learning for Multi-View Analysis
Estimation of Multivariate Long-Memory Models Parameters
Model Multivariate Ordinal Responses Including Response Styles
Analyze Nominal Response Data with the Multinomial-Poisson Trick
Bayesian Multivariate Conway-Maxwell-Poisson Regression Model
for Correlated Count Data
Permutation Tests for Multivariate Survival Analysis
Common Multiple Testing Procedures and Gatekeeping Procedures
Variable Importance Measures for Multivariate Random Forests
Interpolate Munsell Renotation Data from Hue/Chroma to CIE/RGB
Murphy Diagrams for Forecast Comparisons
Murty's Algorithm for k-Best Assignments
Monetary Unit Sampling and Estimation Methods, Widely Used in
Auditing
Extract Muscle Synergies from Electromyography
Conversion of Nuclear Magnetic Resonance Spectra in Audio Files
Validate and Convert Mutational Impacts Using Standard Genomic
Dictionaries
A Graphical User Interface for the MuToss Project
Decipher Mutational Signatures from Somatic Mutational Catalogs
Computation and Decomposition of the Mutual Information Index
MultiClass Visualizable Classification using Combination of
Projections
Multivariate Methods with Unbiased Variable Selection
An Introduction to Applied Multivariate Analysis with R
Statistical Methods for Analysing Multivariate Abundance Data
Modelling Multivariate Binary Data with Blocks of Specific
One-Factor Distribution
Workspace Organization, Code and Documentation Editing, Package
Prep and Editing, Etc
Correlation Coefficients for Multivariate Data
Multivariate Variance Components Tests for Multilevel Data
Multivariate (Dynamic) Generalized Additive Models
Multivariate Probabilities of Scale Mixtures of Multivariate
Normal Distributions via the Genz and Bretz (2002) QRSVN Method
Multivariate Generalized Linear Mixed Models for Ranking Sports
Teams
Causal Inference using Multivariate Generalized Propensity Score
Influence Measures and Diagnostic Plots for Multivariate Linear
Models
Compute and Visualize Bivariate Associations
Multivariate Linear Model with Analytic p-Values
Multivariate, Locally Stationary Wavelet Process Estimation
Imputation Methods for Multivariate Locally Stationary Time
Series
Multivariate Genome Wide Marginal Epistasis Test
Multivariate Meshes and Histograms in Arbitrary Dimensions
Multivariate and Univariate Meta-Analysis and Meta-Regression
A General Framework of Multivariate Mixed-Effects Selection
Models
Multi-State Adaptive Dynamic Principal Component Analysis for
Multivariate Process Monitoring
Multivariate Comparative Tools for Fitting Evolutionary Models
to Morphometric Data
Nelson-Aalen Estimator of the Cumulative Hazard in Multistate
Models
Bayesian Analysis Framework for MVN (Mixture) Distribution
Fast Multivariate Normal and Student's t Methods
Moving Grid Adjustment in Plant Breeding Field Trials
Simultaneously Impute the Missing and Censored Values
ML Estimation for Multivariate Normal Data with Missing Values
Powerful Tests for Multivariate Normality
Normality Test for Multivariate Variables
Generate New Multivariate Normal Samples from Permutations
Goodness of Fit Tests for Multivariate Normality
Test for Multivariate Normal Distribution Based on a
Characterization
Multivariate Outlier Detection Based on Robust Methods
Publication Bias Tests for Meta-Analysis of Diagnostic Accuracy
Test
Multivariate Product Distributions for Elliptically Contoured
Distributions
Compute the Coefficient of Determination for Vector or Matrix
Outcomes
Methods for High-Dimensional Multi-View Learning
Generalized Shapiro-Wilk test for multivariate normality
Multivariate Stochastic Linear Ornstein-Uhlenbeck Models for
Phylogenetic Comparative Hypotheses
Bayesian Inference for the Multivariate Skew-t Model
Estimation and Testing for the Multivariate t-Distribution
Causal Inference in Spatiotemporal Event Data
Solvers for Maximum Weight Connected Subgraph Problem and Its
Variants
Cross-References Lake Identifiers Between Different Data Sets
A Functional Data Analysis Package for Spatial Single Cell Data
Efficient Mixed-Level k-Circulant Supersaturated Designs
Feature Selection (Including Multiple Solutions) and Bayesian
Networks
Measurement Model of Derivatives in 'OpenMx'
Apply Normalization Methods to Multiplexed Images
Specify 'OpenMx' Models with a 'lavaan'-Style Syntax
Stepwise Variable Selection Procedures for Regression Analysis
Chi-Squared Test for Goodness of Fit and Independence Test
Integrative Immunoinformatics for Mycobacterial Diseases in R
Platform
Automatic Correlation and Regression Test in a 'data.frame'
Graph of Daily and Cumulative Downloads of your Packages
Port of the 'Scilab' 'n1qn1' Module for Unconstrained BFGS
Optimization
Handling Methods for Naver News Text Crawling
Fast and Scalable Approximate k-Nearest Neighbor Search Methods
using 'N2' Library
Comprehensive Library for Working with Missing (NA) Values in
Vectors
Read Cancer Records in the NAACCR Format
Wraps 'libnabo', a Fast K Nearest Neighbour Library for Low
Dimensions
Network-Adjusted Covariates for Community Detection
Nondetects and Data Analysis for Environmental Data
Data Analysis for Censored Environmental Data
IRT Parameters for the National Assessment of Education Progress
Flexible Options for Handling Missing Values
Operations to Ease Data Analyses Specific to Nigeria
Empirical Extrapolation of Time Feature Patterns
High Performance Implementation of the Naive Bayes Algorithm
Nonparametric Additive Instrumental Variable Estimator and
Related IV Methods
Create Visual Citations for Presentations and Posters
Using Needleman-Wunsch to Match Sample Names
Named Entity Recognition in Texts using 'NameTag'
Data Structures, Summaries, and Visualisations for Missing Data
Interface to the 'nanoarrow' 'C' Library
NNG (Nanomsg Next Gen) Lightweight Messaging Library
Performs Quality Control, Data Normalization, and Batch Effect
Correction for 'NanoString nCounter' Data
Nanosecond-Resolution Time Support for R
Non-Local Alternative Priors in Psychology
A Flexible and Robust Sys.sleep() Replacement
Nonlinear Cointegrating Autoregressive Distributed Lag Model
Subset- And Name-Aware Array Utility Functions
Native Access Medical Record Retriever for High Yield Analytics
Collection of datasets from the ASA 2006 data expo
NeuroAnatomy Toolbox for Analysis of 3D Image Data
NeuroAnatomy Toolbox ('nat') Extension for Assessing Neuron
Similarity and Clustering
NeuroAnatomy Toolbox ('nat') Extension for Handling Template
Brains
File System Utility Functions for 'NeuroAnatomy Toolbox'
Fast C++ Primitives for the 'NeuroAnatomy Toolbox'
Install the 'Natverse' Packages from Scratch
Color Palettes Inspired by National Parks
Obtain Unweighted Natural Strata that Balance Many Covariates
Estimating the Error Variance in a High-Dimensional Linear Model
Classify Occurrences by Confidence Levels in the Species ID
Analyze the Impact of Sensor Error Modelling on Navigation
Performance
Navigation Menu for Pipe-Friendly Data Processing
Navigated Weighting for the Inverse Probability Weighting
Neighbour Balanced Block Designs (NBBDesigns)
Bayes Classifier for Verbal Autopsy Data
Determining the Best Number of Clusters in a Data Set
Evaluate Arbitrary Negative Binomial Convolutions
Vignette Engine Wrapping Jupyter Notebooks
NBD-Dirichlet Model of Consumer Buying Behavior for Marketing
Research
Design and Monitoring of Clinical Trials with Negative Binomial
Endpoint
Negative Binomial Factor Regression Models ('nbfar')
Negative Binomial Linear Discriminant Analysis
Data Extraction of Australian NBL Basketball Statistics
Functions for Optimal Non-Bipartite Matching
Negative Binomial Models for RNA-Sequencing Data
Network-Based R-Statistics using Mixed Effects Models
Interactive Document for Working with Naive Bayes Classification
Variable Selection in a Specific Regression Time Series of
Counts
NCA Calculations and Population Model Diagnosis
Noncompartmental Analysis for Pharmacokinetic Report
Simulation and Analysis of Platform Trials with Non-Concurrent
Controls
Interface to Unidata netCDF (Version 4 or Earlier) Format Data
Files
Helper Functions for Use with the 'ncdf4' Package
Easy Access to NetCDF Files with CF Metadata Conventions
Extract Metadata from 'NetCDF' Files as Data Frames
Miscellaneous Functions for Creating Adaptive Functions and
Scripts
Unified Algorithm for Non-convex Penalized Estimation for
Generalized Linear Models
Non-Central Squared Copula Models Estimation
Clustering of Omics Data of Multiple Types with a Multilayer
Network Representation
Regularization Paths for SCAD and MCP Penalized Regression
Models
Generalized Network-Based Dimensionality Reduction and Analysis
Wicked-Fast Streaming 'JSON' ('ndjson') Reader
Interactive Presentation for Working with Normal Distribution
Efficient Network Enrichment Analysis Test
Negative Binomial Mixed Models Using Large-Sample Approximation
for Differential Expression Analysis of ScRNA-Seq Data
Estimation of Vaccine Efficacy using Negative Control Outcomes
Negative Binomial and Beta Binomial Bayesian Regression Models
Estimating the Number of Essential Genes in a Genome
A Collection of Functions for Negligible Effect/Equivalence
Testing
Neighbourhood Functions for Local-Search Algorithms
Classification, Regression, Clustering with K Nearest Neighbors
R Port of the 'Scilab' Neldermead Module
Using Network Evolution Models to Generate Networks with
Selected Blockmodel Type
Nonparametric Extended Median Test - Cumulative Summation Method
Querying and Managing 'Neo4J' Databases in 'R'
Neo-Normal Distributions Family for Markov Chain Monte Carlo
(MCMC) Models in 'JAGS'
Tools to Calibrate and Work with NEON Atmospheric Isotope Data
Basic Data Wrangling for NEON Observational Data
Process NEON Plant Data for Ecological Analysis
Compute Soil Carbon Fluxes for the National Ecological
Observatory Network Sites
Working with the Neotoma Paleoecology Database
Network Assisted Algorithm for Epigenetic Studies Using Mean and
Variance Combined Signals
MLOps Metadata Store - Experiment Tracking and Model Registry
for Production Teams
Modeling, Imputing and Generating Synthetic Versions of Nested
Categorical Data in the Presence of Impossible Combinations
Nested Cross-Validation with 'glmnet' and 'caret'
Nested Dichotomy Logistic Regression Models
A Nested Menu Widget for 'Shiny' Applications
Performance Profiles and Nested Performance Profiles
Single Reader Between-Cases AUC Estimator in Nested Data
Build Nesting or Hierarchical Structures
Handle Ambiguity of Protein Identifications from Shotgun
Proteomics
Inference of Species Associations from Co-Occurrence Data
Spatio-Network Generalised Linear Mixed Models for Areal Unit
and Network Data
Inference of Causal Links Between a Network and an External
Variable
Network-Based Discriminant Analysis Subject to Multi-Label
Classes
Analysis of Diffusion and Contagion Processes on Networks
Network Applications to Facial Communication Data
Network-Based Genome Wide Association Studies
Estimating Network Indices, Including Trophic Structure of
Foodwebs in R
Methods for Unweighted and Weighted Network Integration
Build and Run Spatially Explicit Agent-Based Models
Micro-Macro Analysis for Social Networks
Network Meta-Analysis using Frequentist Methods
Dynamic Mixed-Membership Network Regression Model
Origin Estimation for Propagation Processes on Complex Networks
Permutation Testing Network Module Preservation Across Datasets
Statistical Entropy Analysis of Network Data
Calculates Basic Network Measures Commonly Used in Network
Medicine
Graph Prediction from a Graph Time Series
Measures of Network Segregation and Homophily
Tool for Comparison and Visualization of Multiple Networks
Actuarial Functions for Non-Life Insurance Modelling
Retrieve Network Statistics Including Available TCP Ports
Network Strengths and Weaknesses Analysis
Network Analysis and Community Detection
Connect to the 'nettskjema.no' API of the University of Oslo
A Collection of Tools for Network Analysis
Graphic Presentation of Complex Genomic and Network Data
Analysis
Network Reverse Engineering with Approximate Bayesian
Computation
Bayesian Package for Network Changepoint Analysis
Statistical Comparison of Two Networks Based on Several
Invariance Measures
Extinction Simulation in Ecological Networks
An Simplified Implementation of the 'network' Package
Functionality
Generalized Linear Regression Models on Network-Linked Data with
Statistical Inference
Network Scale-Up Models for Aggregated Relational Data
Methods and Measures for Brain, Cognitive, and Psychometric
Network Analysis
Tools for Identifying Important Nodes in Networks
Recursive Partitioning of Network Models
Likelihood-Free Parameter Estimation using Neural Networks
Interpretable Neural Network Based on Generalized Additive
Models
Visualization and Analysis Tools for Neural Networks
'Neuroconductor' Base Package with Helper Functions for 'nifti'
Objects
Data Structures and Handling for Neuroimaging Data
Transcriptomic Atlas of Neuroimaging Derived Phenotypes
Plan Sample Size for Task fMRI Research using Bayesian Updating
Test for a Neutral Evolutionary Model in Cancer Sequencing Data
An Alternative to the Hodrick-Prescott Filter
Alternative Continuous and Discrete Distributions
Computes Pdf, Cdf, Quantile and Random Numbers, Measures of
Inference for 19 General Families of Distributions
True Discovery Guarantee by Combining Partial Closed Testings
A Robust Integrated Mean Variance Correlation
Extending the Newman Studentized Range Statistic to
Transcriptomics
Programmatically Collect Normalized News from (Almost) Any
Website
Semi-Supervised Model for Geographical Document Classification
Statistical Tests to Compare Curves with Recurrent Events
Craft Exceptional 'R Shiny' Applications and Dashboards with
Novel Responsive Tools
Sourcing Archaeological Materials by Chemical Composition
Parallel Analysis and Other Non Graphical Solutions to the
Cattell Scree Test
N-Factor Commodity Pricing Through Term Structure Estimation
Event Stream Abstraction using Interval Logic
Functions to Calculate Optimal Fourth Down Decisions in the
National Football League
Functions to Efficiently Access NFL Play by Play Data
Functions to Efficiently Simulate and Evaluate NFL Seasons
Nonparametric Failure Time Bayesian Additive Regression Trees
Nonlinear Functional Principal Component Analysis using Neural
Networks
The Standard Distribution Functions for the 3D NFW Profile
Bayesian Variable Selection for SNP Data using Normal-Gamma
Interactive 3D Visualization of Molecular Structures
A Simple General Purpose N-Gram Tokenizer
Fitting the Centered Autologistic and Sparse Spatial Generalized
Linear Mixed Models for Areal Data
Data from the US National Health and Nutrition Examination Study
Tools for Working with the National Hydrography Dataset
A Minimum-Dependency 'R' Interface to the 'NHL' API
Scores for Every Season Since the Founding of the NHL in 1917
Non-Homogeneous Markov and Hidden Markov Multistate Models
Modelling and Validation of Non Homogeneous Poisson Processes
Simulating Nonhomogeneous Poisson Point Processes
Breast Cancer Survival and Therapy Benefits
NHS Data Dictionary Toolset for NHS Lookups
Tools for Working with NHS Number Checksums
NHS and Healthcare-Related Data for Education and Training
Draw XmR Charts for NHSE/I 'Making Data Count' Programme
Markov Model Multiple Imputation for NIAID OS
Numerical Association Rule Mining using Population-Based
Nature-Inspired Algorithms
Niche Region and Niche Overlap Metrics for Multidimensional
Ecological Niches
Complementary Package to 'nicheROVER' and 'SIBER'
Tools for Ecological Niche Evolution Assessment Considering
Uncertainty
Miscellaneous Utilities for Extreme Value Analysis
Parcel-Based Correlation Between NIfTI Images
Nonnegative Integer Solutions of Linear Diophantine Equations
with Applications
MCMC, Particle Filtering, and Programmable Hierarchical Modeling
Adaptive Parallel Tempering for 'NIMBLE'
Bayesian Analyses of Radiocarbon Dates with NIMBLE
Distributions for Ecological Models in 'nimble'
Hamiltonian Monte Carlo and Other Gradient-Based MCMC Sampling
Algorithms for 'nimble'
Transformed Distributions for Improved MCMC Efficiency
Spatial Capture-Recapture (SCR) Methods Using 'nimble'
Sequential Monte Carlo Methods for 'nimble'
Principal Components Analysis using NIPALS or Weighted EMPCA,
with Gram-Schmidt Orthogonalization
National Information Platforms for Nutrition Anthropometric Data
Toolkit
Fast and Accurate Trisomy Prediction in Non-Invasive Prenatal
Testing
Novel Statistical Methods for Studying Near-Infrared
Spectroscopy (NIRS) Time Series Data
Nonlinear least squares examples from NIST
Fundamental Physical Constants and Unit Conversions from NIST
Data and Source Code From: Nitrogen Uptake and Allocation
Estimates for Spartina Alterniflora and Distichlis Spicata
Noninferiority Tests with Variable Margins
Snow Water Equivalent Modeling with the 'Delta.snow' Model and
Empirical Regression Models
A Software Development Kit for 'Nixtla''s 'TimeGPT'
Tools for Geocoding Addresses in New Jersey using the 'NJOGIS'
API
Download, Analyze & Clean New Jersey Car Crash Data
Solve Nonlinear Optimization with Nonlinear Constraints
Models for Non Linear Causality Detection in Time Series
Automated Estimation of Sigmoidal and Piecewise Linear Mixed
Models
Linear and Nonlinear Mixed Effects Models
Datasets and Utility Functions Enhancing Functionality of 'nlme'
Package
Visual Model Checking for Nonlinear Mixed Effect Model
Nonlinear Mixed Effects Models in Population PK/PD
Nonlinear Mixed Effects Models in Population PK/PD, Data
Nonlinear Mixed Effects Models in Population PK/PD, Estimation
Routines
Nonlinear Mixed Effects Models in Population PK/PD, Extra
Support Functions
Nonlinear Mixed Effects Models in Population PK/PD, Plot
Functions
Templated Word and PowerPoint Reporting of 'nlmixr2' Fitting
Results
Functions for Nonlinear Least Squares Solutions
Nonlinear Network, Clustering, and Variable Selection Based on
DCOL
Call Optimization Solvers with .nl Files
Estimators of Non-Linear Cross-Validated Risks Optimized for
Small Samples
Linear and Nonlinear Longitudinal Process in Structural Equation
Modeling Framework
Nonlinear Regression for Agricultural Applications
Higher Order Inference for Nonlinear Heteroscedastic Models
Non-Linear Relative Risk Estimation and Plotting
Setup, Run and Analyze 'NetLogo' Model Simulations from 'R' via
'XML'
Robust Non-Linear Regression using AIC Scores
Fitting Structural Equation Mixture Models
Non-Linear Shrinkage Estimation of Population Eigenvalues and
Covariance Matrices
Non Linear Least Squares with Inequality Constraints
Nonlinear Regression in Predictive Microbiology
Fitting Nonlinear Models with Scale Mixture of Skew-Normal
Distributions
Functions for Nonlinear Least Squares Solutions - Updated 2022
An R Package for Fitting Separable Nonlinear Models
Utilities and Kinship Information for Research with the NLSY
A Nondecimated Lifting Transform for Signal Denoising
Wald Test of Nonlinear Restrictions and Nonlinear CI
Network Meta-Analysis Based on Multivariate Meta-Analysis Models
Network Meta-Analysis of Multiple Diagnostic Tests
Network Meta-Analysis using Integrated Nested Laplace
Approximations
Detecting Outliers in Network Meta-Analysis
The Plate Plot for Network Meta-Analysis Results
Complex Hierarchy Questions in Network Meta-Analysis
Thresholds and Invariant Intervals for Network Meta-Analysis
Preparation, Checking and Post-Processing Data for PK/PD
Modeling
Algorithms and Framework for Nonnegative Matrix Factorization
(NMF)
Non-Negative Matrix Factorization for Binary Data
Normalized Mutual Information of Community Structure in Network
Miscellaneous Functions Used at 'Numeract LLC'
Bayesian Inference on Univariate Normal Mixtures
Goodness of Fit Checks for Binomial N-Mixture Models
Inverse Probability Weighting under Non-Monotone Missing
Numerical Methods and Optimization in Finance
Phase Error Correction and Baseline Correction for One
Dimensional ('1D') 'NMR' Data
Binning and Visualizing NMR Spectra in Environmental Samples
Dose-Response Relationship Analysis of Nanomaterial Toxicity
Understanding Nonlinear Mixed Effects Modeling for Population
Pharmacokinetics
Neural Network Weights Transformation into Polynomial
Coefficients
Datasets and Functions to Benchmark Neural Network Packages
Nearest Neighbors Matching of Case-Control Data
Generator of 'LaTeX' Code for Drawing Neural Network Diagrams
with 'TikZ'
Feed-Forward Neural Networks and Multinomial Log-Linear Models
Time Series Forecasting with Neural Networks
Non-Negative Garrote Estimation with Penalized Initial
Estimators
k-Nearest Neighbor Join for Spatial Data
Non-Negative Lasso and Elastic Net Penalized Generalized Linear
Models
A Tool for Creating Custom Neural Networks in C++ and using Them
in R
The Lawson-Hanson Algorithm for Non-Negative Least Squares
(NNLS)
Nearest Neighbor Based Multiple Imputation for Survival Data
with Missing Covariates
Nearest Neighbor Methods for Spatial Patterns
The Number Needed to Treat (NNT) for Survival Endpoint
Calculate Design Parameters for Biomarker Validation Studies
Draw Samples of Truncated Multivariate Normal Distributions
Incorporating Previous Findings When Evaluating New Data
Connect to 'AWS Athena' using R 'AWS SDK' 'paws' ('DBI'
Interface)
Algorithmic Framework for Representational Learning on Graphs
Simulate DNA Alignments Using Node Substitutions
Compares the Distribution of Sister Clades Through a Phylogeny
Implementation of the Natural and Orthogonal InterAction (NOIA)
Model
Estimation of Intrinsic and Extrinsic Noise from Single-Cell
Data
Noise Models for Classification Datasets
Cross-Entropy Optimisation of Noisy Functions
Noise Quantification in High Throughput Sequencing Output
Noisy Stochastic Block Mode: Graph Inference by Multiple Testing
Noisy Stochastic Block Model for GGM Inference
Append 'WITH (NOLOCK)' to 'SQL' Queries, Get Packages in Active
Script
Hierarchical Cluster Analysis of Nominal Data
Calculate Total Points and Probabilities for Nomogram
Noncompartmental Analysis for Pharmacokinetic Data
Causal Inference in the Presence of Treatment Noncompliance
Under the Binary Instrumental Variable Model
Bayesian Analysis of Randomized Experiments with Non-Compliance
Weighted Average Ensemble without Training Labels
Invariant Causal Prediction for Nonlinear Models
Loading NONMEM Output Files with Functions for Visual Predictive
Checks (VPC) and Goodness of Fit (GOF) Plots
'nonmem2rx' Converts 'NONMEM' Models to 'rxode2'
Create and Evaluate NONMEM Models in a Project Context
Multivariate Lomax (Pareto Type II) and Its Related
Distributions
A Collection of Nonparametric Hypothesis Tests
Nonparametric Methods for Measuring Efficiency and Productivity
Metagenome Coverage Estimation and Projections for 'Nonpareil'
a Non-Parametric Statistical Significance Test for Rolling
Window Correlation
Inference Based on Non-Probability Samples
Nonparametric Methods for Smoothing Nonsmooth Data
Arctic Ice Studio's Nord and Group of Seven Inspired Colour
Palettes for 'ggplot2'
Dataset for Climate Analysis with Data from the Nordic Region
Analysis of Multivariate Normal Datasets with Missing Values
Re-Scale Vectors and Time-Series Features
A Graphical User Interface for Testing Normality Visually
Routines for Exponential Power Distribution
Normalisation of Multiple Variables in Large-Scale Datasets
Derivation of Regression-Based Normative Data
Normalize Gene Expression Data using Evaluated Methods
Cleans and Normalizes FLUOstar DBF and DAT Files from 'Liposome'
Flux Assays
Direct MLE for Multivariate Normal Mixture Distributions
Neyman Smooth Tests of Normality for the Errors of ARMA Models
Assessing Normality of Stationary Process
Compute Node Overlap and Segregation in Ecological Networks
A Forward Agent-Based Transmission Chain Simulator
Dummy R APIs Used in 'Azure Synapse Analytics' for Local
Developments
Send Alerts to your Cellphone and Phillips Hue Lights
Computes PDF, CDF, Quantile, Random Numbers and Measures of
Inference for 3 General Families of Distributions
Dataset from the Novel Forests of Singapore
Visualise the Path to a Stopping Point in Qualitative Interviews
Based on Novel Codes
Further Resources to Assist Novice Developers
Nonparametric Kernel Smoothing Methods for Mixed Data Types
Non-Parametric Measures of Actigraphy Data
Multiple Comparisons and Simultaneous Confidence Intervals
Nonparametric Analysis of Longitudinal Data in Factorial
Experiments
Nonparametric Analysis of Multivariate Data in Factorial Designs
Nonparametric Tests for Main Effects, Simple Effects and
Interaction Effect in a Factorial Design with Censored Data
Non-Parametric Bayesian Multiple Imputation for Categorical Data
Nonparametric Bootstrap Test with Pooled Resampling
Informative Nonparametric Bootstrap Test with Pooled Resampling
Nonparametric Methods for Cognitive Diagnosis
The Nonparametric Classification Methods for Cognitive Diagnosis
Nonparametric Tests for Incomplete Clustered Data
Nonparametric and Semiparametric Proportional Hazards Model
Some Nonparametric CUSUM Tests for Change-Point Detection in
Possibly Multivariate Observations
Neyman-Pearson Classification via Cost-Sensitive Learning
Nonparametric Estimation in Mixture Cure Models
Mixture Cure Model Estimation with Cure Status Partially Known
Normalised Prediction Distribution Errors for Nonlinear
Mixed-Effect Models
Nonparametric Estimation and Inference on Dose-Response Curves
Exact Nonparametric Hypothesis Tests for the Mean, Variance and
Stochastic Inequality
Bayesian Nonparametrics for Automatic Gating of Flow-Cytometry
Data
Planning and Analysing Survival Studies under Non-Proportional
Hazards
Sample Size Calculation for the Proportional Hazards Mixture
Cure Model
Sample Size Calculation under Non-Proportional Hazards
Non-Proportional Hazards in Randomized Controlled Trials
Access the U.S. National Provider Identifier Registry API
Nonparametric Interaction Tests for Factorial Designs with
Repeated Measures
Plotting Linkage and Association Results
Nonparametric Models for Longitudinal Data
Type-Specific Failure Rate and Hazard Rate on Competing Risks
Data
Nonparametric Maximum Likelihood Estimation for Random Effect
Models
Nonparametric Comparison of Multivariate Samples
Nonparametric Tests for Equality of Location Against Ordered
Alternatives
Normalized Power Prior Bayesian Analysis
Nonparametric Partially-Balanced Incomplete Block Design
Analysis
Vegetation Phenological Cycle and Anomaly Detection using Remote
Sensing Data
Nonparametric Regression via Smoothing Splines
Nonparametric Estimation of the Derivatives of a Regression
Function
Nonparametric Estimation of Regression Models with
Factor-by-Curve Interactions
Nonparametric Robust Estimation and Inference Methods using
Local Polynomial Regression and Kernel Density Estimation
Neyman-Pearson (NP) Classification Algorithms and NP Receiver
Operating Characteristic (NP-ROC) Curves
Kernel-Based Nonparametric ROC Regression Modelling
Nonparametric Rotations for Sphere-Sphere Regression
Nonparametric and Stochastic Efficiency and Productivity
Analysis
Sample Size and Power Calculation for Common Non-Parametric
Tests in Survival Analysis
Nonparametric Bootstrap and Permutation Tests
Nonparametric Multiple Change Point Detection Using WBS
Methods for Conducting Nonresponse Bias Analysis (NRBA)
Simulation-Based Calculations of Sample Size for Linear and
Logistic Regression
Metrics for Multiple Testing with Correlated Outcomes
NRI for Risk Prediction Models with Time to Event and Binary
Response Data
Methods for Fitting and Simulating Non-Stationary ARFIMA Models
Simulation and Estimation of the Neyman-Scott Type Spatial
Cluster Models
Numerical Standard Errors Computation in R
Bhavcopy and Live Market Data from National Stock Exchange (NSE)
& Bombay Stock Exchange (BSE) India
Elitist Non-Dominated Sorting Genetic Algorithm
An Implementation of Non-Dominated Sorting Genetic Algorithm III
for Feature Selection
Functions and Datasets to Accompany Hollander, Wolfe, and
Chicken - Nonparametric Statistical Methods, Third Edition
Datasets to Accompany Hollander, Wolfe, and Chicken NSM3
National Statistical Office of Mongolia's Open Data API Handler
Inference for Multiple Change-Points in Linear Models
Nonparametric and Semiparametric Mixture Estimation
Geospatial Data and Maps for New South Wales, Australia
Retrieve Data from the National Transit Database
Lightweight Wrapper to the 'ntfy.sh' Service
Computation of NTLKwIEx Distribution Properties
Nonparametric Tests in Spatial Statistics
Nonparametric and Unsupervised Learning from Cross-Sectional
Observational Data
NUtrient Cycling and COMpetition Model Undisturbed Open Bog
Ecosystems in a Temperate to Sub-Boreal Climate
Nitrogen Use Efficiency Toolkit on Numerics
Extensible Data Pattern Searching Framework
Haplotype-Aware CNV Analysis from scRNA-Seq
Convert Words to Numbers in Multiple Languages
Compute the Probability Distribution of the Number of Alleles in
a DNA Mixture
Validate, Compare and Format Identification Numbers from Brazil
Statistical Framework to Define Subgroups in Complex Datasets
Create a Kaplan-Meier Plot with Numbers at Risk
Numeric Routines for Optically Stimulated Luminescence Dating
Mixed N-Grams and Unigram Sequence Segmentation
Food Composition Information and Dietary Assessment
Structure Learning with Copula Graphical Model
Nonparametric Varying Coefficient Spike-and-Slab Lasso
The n-vector Approach to Geographical Position Calculations
using an Ellipsoidal Model of Earth
Flights and Other Useful Metadata for NYC Outbound Flights in
2023
Import, Clean and Update Data from the New Zealand Freshwater
Fish Database
Accessing Data Stored in 'LaBB-CAT' Instances
Driving Offences in New Zealand Between 2009 and 2016
Reconstruction of Transmission Chains from Surveillance Data
General Purpose 'Oai-PMH' Services Client
Harvest Metadata Using OAI-PMH Version 2.0
Computation of the Orbit-Aware Quad Census
Outright Tool for the Analysis of Spatial Inequalities and
Segregation
Objective Bayesian Analysis for Spatial Regression Models
Calculate the Open Bodem Index (OBI) Score
'RStudio' Addin for Removing Objects from the Global Environment
Based on Patterns and Object Type
3D Rendering Using Obliquely Projected Cubes and Cuboids
Oblique Random Forests for Right-Censored Time-to-Event Data
Estimate the Population Size for the Mb Capture-Recapture Model
Collect and Process Physical Activity Direct Observation Data
Objective Bayesian Model Discrimination in Follow-Up Designs
Sensitivity Analysis for Observational Studies
Optimal Classification Roll Call Analysis Software
Estimation of PET Neuroreceptor Occupancies
Querying and Managing Large Biodiversity Occurrence Datasets
Site Occupancy Modeling for Environmental DNA Metabarcoding
Probability Functions for Occupancy Distributions
Interactively Measure Occupations in Interviews and Beyond
High-Dimensional Multiscale Online Changepoint Detection
A Plotting Toolbox for 2D Oceanographic Data
Visualisation of Oceanographic Data and Model Output
Ordered Composite Endpoints with Censoring
Oceanographic Data Sets for 'oce' Package
Order Constrained Solutions in k-Means Clustering
Gaussian Model-Based Clustering with Outliers
Interface to Open Collaboration Services (OCS) REST API
Download Data from the 'Open Case Studies' Repository
Statistical Support for Hierarchical Clusters
Manipulate and Map Origin-Destination Data
Open Document Databases (.odb) Management
Connect to ODBC Compatible Databases (using the DBI Interface)
Odds Ratios, Contingency Table, and Model Significance from a
Generalized Linear Model Object
Access Live Sports Odds from the Odds API
Odds Plot to Visualise a Logistic Regression Model
Odds Ratio Calculation for GAM(M)s & GLM(M)s
Solve ODE for GUTS-RED-SD and GUTS-RED-IT Using Compiled Code
Sensitivity Analysis of Ordinary Differential Equations
Outlier Detection Using Partitioning Clustering Algorithms
Convert 'ODK' or 'XLSForm' to 'SPSS' Data Frame
Optimal Design and Statistical Power for Experimental Studies
Investigating Main, Mediation, and Moderation Effects
Oblique Decision Random Forest for Classification and Regression
Statistical Methods for Outcome-Dependent Sampling Designs
Optimal Estimation of Function Parameters by Iterated
Linearization
Utilities for Developing Data Science Software
Orthogonalizing EM: Penalized Regression for Big Tall Data
Modeling the Kinetics of Carbon Dioxide Production in Alcoholic
Fermentation
Methods for the Office of Evaluation Sciences
May 2020 Occupational Employment and Wage Statistics
May 2021 Occupational Employment and Wage Statistics
Enhanced 'R Markdown' Format for 'Word' and 'PowerPoint'
Manipulation of Microsoft Word and PowerPoint Documents
Detect Multiple Change Points from Time Series
An Extension of 'Tidymodels' Supporting Offset Terms
A Meta-Analysis Approach with Filtering for Identifying
Gene-Level Gene-Environment Interactions with Genetic
Association Data
Design on-Farm Precision Field Agronomic Trials
Estimation of Ordered Generalized Linear Models
Analysis of Adaptive Immune Receptor Repertoire Germ Line
Statistics
Modeling of Ordinal Random Variables via Softmax Regression
OGA+HDIC+Trim and High-Dimensional Linear Regression Models
HMMs with Ordered Hidden States and Emission Densities
Ordinal Higher-Order Exploratory General Diagnostic Model for
Polytomous Data
Ordered Homogeneity Pursuit Lasso for Group Variable Selection
Crosstab and Statistical Tests for OII MSc Stats Course
Crawler and Data Scraper for Open Journal System ('OJS')
A k-Nearest Neighbours Ensemble via Optimal Model Selection for
Regression
An Unofficial Wrapper for 'okx exchange v5' API
Online Change Point Detection for Matrix-Valued Time Series
Facilitate Analysis of Proteomic Data from Olink
Computes some Measures of OLL-G Family of Distributions
Odd Log-Logistic Generalized Gamma Probability Distribution
Tools for Building OLS Regression Models
Ordinary Least Squares Trajectory Analysis
Omega-Generic: Composite Reliability of Multidimensional
Measures
Open-Source Software for 'Omic' Data Analysis and Visualization
Data Integration with Two-Way Orthogonal Partial Least Squares
Nominating Quality Control Outliers in Genomic Profiling Studies
Cell-Type-Specific Association Testing in Bulk Omics Experiments
Univariate Bootstrapping and Other Things
Helper Tools for Managing Data, Dates, Missing Values, and Text
A Modified Fisher’s Method to Test Overall Gene-Level Effect
Creation of Mock Observational Medical Outcomes Partnership
Common Data Model
Methods and Classes for the OMOP Common Data Model
Characterise Tables of an OMOP Common Data Model Instance
Model and Solve Mixed Integer Linear Programs
A Solver for 'ompr' that Uses the R Optimization Infrastructure
('ROI')
A Metabolomics Analysis Tool for Intuitive Figures and
Convenient Metadata Collection
Data Sets for Keith McNulty's Handbook of Graphs and Networks in
People Analytics
Test of Between-Group Differences in the Onset of Senescence
Names Given to Babies in Ontario Between 1917 and 2018
Bindings for Onboard Data's Building Data API
Templated Reporting Workflows in Word and PowerPoint
Bayesian Logistic Regression for Oncology Dose-Escalation Trials
Aids in the Analysis of Genes Influencing Cancer Survival
Bayesian Multi-State Models for Early Oncology
Drug Response Modeling and Biomarker Discovery
Predict Cancer Subtypes Based on TCGA Data using Machine
Learning Method
Fast, Universal, and Intuitive Computing on Large-Scale
Single-Cell Data
Phase II Single-Arm Two-Stage Designs with Time-to-Event
Outcomes
One-Arm Clinical Trial Designs for Time-to-Event Endpoint
Maximum Homogeneity Clustering for Univariate Data
Construction of Genetic Maps in Experimental Crosses
One Rule Machine Learning Classification Algorithm with
Enhancements
One Sample Mendelian Randomization and Instrumental Variable
Analyses
Observers Needed to Evaluate Subjective Tests
One-Way Tests in Independent Groups Designs
Online Bayesian Methods for Change Point Analysis
Online Change Point Detection in High-Dimensional Covariance
Structure
Forecast Modelling for Online Applications
Import Public Health Ontario's Ontario Marginalization Index
Helper Functions for Point Pattern Analysis
National Road Safety Observatory (ONSV) Style for 'ggplot2'
Graphics
National Road Safety Observatory (ONSV) Styles for 'gt' Tables
Interactive Annotation of Characters with Biological Ontologies
Create Validation Tests for Automated Content Analysis
Class Unions, Matrix Operations, and Color Schemes for OOMPA
Helper Functions for Class Object-Oriented Programming
Out-of-Sample R² with Standard Error Estimation
An Implementation of Ordinal Pattern Analysis
'Opal' Data Repository Client and 'DataSHIELD' Utils
The Online Principal Component Estimation Method
Optimal Distribution Preserving Down-Sampling of Bio-Medical
Data
Tools for the Analysis of Air Pollution Data
Streaming Capabilities for 'OpenAI API' Interactions
Getting Bibliographic Records from 'OpenAlex' Database Using
'DSL' API
R Client for Querying the UK 'Open Banking' ('Open Data') API
Bindings to 'OpenCV' Computer Vision Library
Reading and Writing Open Data Format Files
Access the City of Toronto Open Data Portal
EBGM Disproportionality Scores for Adverse Event Data Mining
Optimization Based Ensemble Model for Prediction of Histone
Modifications in Rice
Datasets and Supplemental Functions from 'OpenIntro' Textbooks
and Labs
Quantitative Analysis and Visualization of LUCC
Retrieve Weather Data from the Open-Meteo API
A 'Prometheus' Client for R Using the 'OpenMetrics' Format
Quickly Retrieve Datasets from the 'mindat.org' API
Open Machine Learning and Open Data Platform
Easily Install and Load the 'openMSE' Packages
Apache OpenNLP Jars and Basic English Language Models
Interpretive Clustering for Repertory Grids
Retrieval, Analysis and Visualization of Air Traffic Data
Analyze, Process, Identify, and Share Raman and (FT)IR Spectra
Toolkit for Encryption, Signatures and Certificates Based on
OpenSSL
Utilities for Working with R's Operators
Optimized Automated Gaussian Mixture Assessment
Analyzing the Opinions in a Big Text Document
Routing Distribution, Broadcasts, Transmissions and Receptions
in an Opportunistic Network
Optimal Designs for the 5-Parameter Logistic Model
'surv' Object Confidence Bands Optimized by Area
Optimal Block Designs for Two-Colour cDNA Microarray Experiments
Estimation of Optimal Number of Biomarkers for Two-Group
Microarray Based Classifications at a Given Error Tolerance
Level for Various Classification Rules
Circular, Periodic, or Framed Data Clustering: Fast, Optimal,
and Reproducible
Optimal Designs for Estimating the Slope Divided by the
Intercept
Optimal Partial Tetra-Allele Cross Designs
Calculating Optimal and D-Augmented Designs
Tools to Support Optimization Possibly with Bounds and Masks
Near-Optimal Group-Sequential Designs for Continuous Outcomes
Estimation of value and hedging strategy of call and put
options
Estimation of Optimal Size for a Holdout Set for Updating a
Predictive Score
Simulation Tool for Causal Inference Using Longitudinal Data
Likelihood Based Optimal Partitioning and Indicator Species
Analysis
Computing Optimal Cutpoints in Diagnostic Tests
A Toolbox for Computing Efficient Designs of Experiments
Design Parameter Optimization for Gold-Standard Non-Inferiority
Trials
Model Free Approach to Quantifying Surrogacy
Bayesian Methods for Optimal Threshold Estimation
Confidence Regions for Optima of Response Surfaces
Graphical and Numerical Checks for Mode-Finding Routines
Flexible Optimization of Complex Loss Functions with State and
Parameter Space Constraints
Unified Framework for Numerical Optimizers
Perform Nonlinear Regression Using 'optim' as the Optimization
Engine
Optimos Prime Helps Calculate Autoecological Data for Biological
Species
Parallel Version of the L-BFGS-B Optimization Method
R Port of the 'Scilab' Optimsimplex Module
Model Based Diagnostics for Multivariate Cluster Analysis
Expanded Replacement and Extension of the 'optim' Function
Option Pricing with Efficient Simulation Algorithms
Utilizes the Black-Scholes Option Pricing Model to Perform
Strategic Option Analysis and Plot Option Strategies
Optimum Contribution Selection and Population Genetics
Linear, Quadratic, and Rational Optimization
Determine Optimum Stocking Times Used in Fishery Enhancements
Estimating the Optimal Number of Migration Edges from 'Treemix'
Optimal Partitioning of Similarity Relations
Optimization Toolbox for Solving Linear Systems
Optimal Row-Column Designs for Two-Colour cDNA Microarray
Experiments
Optimising Random Forest Stability Through Selection of the
Optimal Number of Trees
Optimal Level of Significance for Regression and Other
Statistical Tests
Targeted Stable Balancing Weights Using Optimization
OPUS Miner Algorithm for Filtered Top-k Association Discovery
Predict with 'tidymodels' Workflows in Databases
Computation of Graphlet Orbit Counts in Sparse Graphs
Subspace Clustering Based on Arbitrarily Oriented Projected
Cluster Generation
Order Restricted Clustering for Microarray Experiments
Ordered Beta Regression Models with 'brms'
Likelihood-Based Continual Reassessment Method (CRM) Dose
Finding Designs
Separating Location and Dispersion in Ordinal Regression Models
Test, Check, Verify, Investigate the Monotonic Properties of
Vectors
Sampling from k-th Order Statistics of New Families of
Distributions
Efficiently Generates Random Order Statistic Variables
Least Squares, Logistic, and Cox-Regression with Ordered
Predictors
Additive Model for Ordinal Data using Laplace P-Splines
Bayesian Ordinal Regression for High-Dimensional Data
Ordinal Regression Analysis for Continuous Scales
Ordinal Forests: Prediction and Variable Ranking with Ordinal
Target Variables
Ordinal Regression for High-Dimensional Data
Co-Clustering of Ordinal Data via Latent Continuous Random
Variables
Analysis of Repeatability and Reproducibility Studies with
Ordinal Measurements
Compute least squares estimates of one bounded or two ordered
isotonic regression curves
Concurrent Generation of Ordinal and Normal Data with Given
Correlation Matrix and Marginal Distributions
Selection, Fusion, Smoothing and Principal Components Analysis
for Ordinal Variables
A 'tidyverse' Extension for Ordinations and Biplots
An R Interface to the Onigmo Regular Expression Library
Large Amplitude Oscillatory Shear (LAOS)
Manage and Summarize Data from Oregon RFID ORMR and ORSR Antenna
Readers
Shortcuts for File Creation with Informative Prefixes
Analyse Text Files Created by Emacs' Org mode
Order-Restricted Information Criterion-Based Clustering
Algorithm
A Visualization Tool Enhancing Radar Plot Visualizations for
Multivariate Data
Explicitly Qualifying Namespaces by Automatically Adding 'pkg::'
to Functions
EAP Scoring in Exploratory FA Solutions with Correlated
Residuals
The Online Regularized K-Means Clustering Algorithm
Operations Research LOCational Analysis Models
Spanish version of orloca package. Modelos de localizacion en
investigacion operativa
Advanced Plotting of Ordinal Regression Models
Rigorous - 'NIfTI' + 'ANALYZE' + 'AFNI' : Input / Output
Southern Ocean Frontal Distributions (Orsi)
Converting Odds Ratio to Relative Risk in Cohort Studies with
Partial Data Information
Alternating Logistic Regression with Orthogonalized Residuals
for Correlated Ordinal Outcomes
Orthology vs Paralogy Relationships among Glutamine Synthetase
from Plants
Semi-Parametric Dimension Reduction Models Using Orthogonality
Constrained Optimization
Dynamic Panel Models with Orthogonal Reparameterization of Fixed
Effects
Collection of Functions for Orthogonal and Orthonormal
Polynomials
Connects to Google Cloud API for Label Detection
Rice Microarray Probe ID Conversion, from Probe ID to RAP-DB ID
Optimal Subset Cardinality Regression (OSCAR) Models Using the
L0-Pseudonorm
Generation of Customizable, Discretized Time Series of
Oscillating Species
Orthogonal Signal Deconvolution for Spectra Deconvolution in
GC-MS and GCxGC-MS Data
Easier Interaction with the Ordnance Survey Data Hub
Design, Planning and Analysis of Observational Studies
Finds an Optimal System of Distinct Representatives
Interface to the 'Open Science Framework' ('OSF')
Raw System Credential Store Access from R
Signal Component Analysis for Optically Stimulated Luminescence
Import 'OpenStreetMap' Data as Simple Features or Spatial
Objects
Download and Import Open Street Map Data Extracts
Add a Scale Bar to 'OpenStreetMap' Plots
Orthogonal Sparse Non-Negative Matrix Tri-Factorization
Quadratic Programming Solver using the 'OSQP' Library
Interface Between R and the OpenStreetMap-Based Routing Service
OSRM
Optimal Sample Size and Allocation with a Network Meta-Analysis
Assessing Surrogacy with a Censored Outcome
O-Stats, or Pairwise Community-Level Niche Overlap Statistics
Provide Summary Information About R Objects
Mean Partition, Uncertainty Assessment, Cluster Validation and
Visualization Selection for Cluster Analysis
Optimal Trees Ensembles for Regression, Classification and Class
Membership Probability Estimation
One Time Password Generation and Verification
An R Wrapper for the 'OpenTripPlanner' REST API
Data Fusion using Optimal Transportation Theory
Optimal Treatment Regimes in Survival Contexts with
Kaplan-Meier-Like Estimators
Variable Selection for Optimal Treatment Decision
An R Autograding Extension for Otter-Grader
Companion Tools for Open-Source Tools for Training Resources
(OTTR)
Summarizing OTU Table Regarding the Composition, Abundance and
Beta Diversity of Abundant and Rare Biospheres
North Temperate Lakes - Microbial Observatory 16S Time Series
Data and Functions
Ornstein-Uhlenbeck Models for Phylogenetic Comparative
Hypotheses
Loads and Formats the Open University Learning Analytics Dataset
for Data Analysis
Bayesian Reconstruction of Disease Outbreaks by Combining
Epidemiologic and Genomic Data
Multivariate Outlier Detection and Replacement
A Collection of Outlier Ensemble Algorithms
Efficient Outlier Detection in Heterogeneous Time Series
Databases
Educational Outlier Package with Common Outlier Detection
Algorithms
Explainable Outlier Detection Through Decision Tree Conditioning
Find the Outlier by Quantile Random Forests
Analysis of Evolutionary Rates in an OU Framework
Overdispersion in Count Data Multiple Regression Analysis
Estimates of Coefficient of Overlapping for Animal Activity
Patterns
Estimation of Overlapping in Empirical Distributions
Test Overlapping of Polygons Against Random Rotation
Load 'Overture' Datasets as 'dbplyr' and 'sf'-Ready Data Frames
Easily Extracting Information About Your Data
Inference on the Overlap Coefficient: The Binormal Approach and
Alternatives
Optimal Weight Exchange Algorithm for Optimal Designs for Three
Models
Interface to 'OxCal' Radiocarbon Calibration
Processing of Oxy-Bisulfite Microarray Data
Scans R Projects for Vulnerable Third Party Dependencies
Plot the Australian Coastline and States
Analyzing Survival Data from an Illness-Death Model
Performance Attribution for Equity Portfolios
Partition-Assisted Clustering and Multiple Alignments of
Networks
Comfortable Search for R Packages on CRAN, Either Directly from
the R Console or with an R Studio Add-in
Guidelines and Checklists for Building CRAN-Worthy Packages
Computation and Visualization of Package Download Counts and
Percentile Ranks
An Opinionated Framework for Using 'JavaScript'
A few Useful Functions for Statisticians
Multi-Block Partial Least Squares Discriminant Analysis
A Dependency Management System for Projects and their R Package
Dependencies
Penalized and Constrained Lasso Optimization
Procrustes Application to Cophylogenetic Analysis
Testing for Partial Copulas and the Simplifying Assumption in
Vine Copulas
Supplementary Tools for R Packages Developers
Quickly Get Datetime Data Ready for Analysis
Book Companion for Processing and Analyzing Financial Data with
R
Generative Mechanism Estimation in Temporal Complex Networks
Read, Manipulate and Visualize 'Pairwise mApping Format' Data
Paginate the HTML Output of R Markdown with CSS for Print
An API Client for Wikimedia Traffic Data
Joint Estimation of Latent Groups and Group-Specific
Coefficients in Panel Data Models
Single Cell Analysis and Differential Expression
Pathway Analysis Methods for Genomewide Association Data
Phylogeographic Analysis of Island Colonization Events
Use XKCD's "Painbow" Colormap in ggplot2
Creation and Manipulation of Color Palettes
Rasch Model Parameters by Pairwise Algorithm
Confidence Intervals for Two Sample Comparisons
Another Approach to Package Installation
'shiny' App to Analyze Pakistan's Population Census Data
Multiple Indicator Cluster Survey (MICS) 2014 Child
Questionnaire Data for Punjab, Pakistan
Multiple Indicator Cluster Survey (MICS) 2014 Household
Questionnaire Data for Punjab, Pakistan
Multiple Indicator Cluster Survey (MICS) 2014 Household Listing
Questionnaire Data for Punjab, Pakistan
Multiple Indicator Cluster Survey (MICS) 2014 Women
Questionnaire Data for Punjab, Pakistan
Multiple Indicator Cluster Survey (MICS) 2017-18 Data for
Punjab, Pakistan
Multiple Indicator Cluster Survey (MICS) 2017-18 Birth History
of Children Questionnaire Data for Punjab, Pakistan
Multiple Indicator Cluster Survey (MICS) 2017-18 Children Age
5-17 Questionnaire Data for Punjab, Pakistan
Multiple Indicator Cluster Survey (MICS) 2017-18 Household
Questionnaire Data for Punjab, Pakistan
Multiple Indicator Cluster Survey (MICS) 2017-18 Maternal
Mortality Questionnaire Data for Punjab, Pakistan
Multiple Indicator Cluster Survey (MICS) 2017-18 Men
Questionnaire Data for Punjab, Pakistan
Cite 'R' Packages on the Fly in 'R Markdown' and 'Quarto'
Significance Tests for Palaeoenvironmental Reconstructions
Prepare and Explore Data for Palaeobiological Analyses
Sparse Regression with Paired Covariates
Partitioned Local Depth for Community Structure in Data
Simulating Assemblage Models of Abundance for the Fossil Record
Download and Process Data from the Paleobiology Database
Geometric Morphometric Tools for Paleobiology
Pattern-Oriented Modeling Framework for Coupled Niche-Population
Paleo-Climatic Models
Paleontological and Phylogenetic Analyses of Evolution
Comprehensive Collection of Color Palettes
Create Colour Scales and Legend from Continuous or Categorical
Vectors
Methods for Colour Vectors and Colour Palettes
GPL Palettes Copied from 'Gimp' and 'Inkscape'
Fitting Point Process Models via the Palm Likelihood
Palmer Archipelago (Antarctica) Penguin Data
Interface for 'Google Pathways Language Model 2 (PaLM 2)'
Partially Additive (Generalized) Linear Model Trees
Color Palettes, Colormaps, and Tools to Evaluate Them
Prediction and Accuracy Measures for Nonlinear Models and for
Right-Censored Time-to-Event Data
Generate Heatmaps Based on Partitioning Around Medoids (PAM)
Power Analysis for Random Effects in Mixed Models
Miscellaneous Functions for Passive Acoustic Analysis
Piece-Wise Exponential Additive Mixed Modeling Tools for
Survival Analysis
Implementation of the Panel Data Approach Method for Program
Evaluation
Pam: Prediction Analysis for Microarrays
Tools for Summarising and Analysing Soundscape Data
Multiple Imputation for Multivariate Panel or Clustered Data
Personalized Network-Based Anti-Cancer Therapy Evaluation
Benchmarking and Rescaling R2 using Noise Percentile Analysis
Monitoring a Developing Pandemic with Available Data
Manage and Run Universal Converter 'Pandoc' from 'R'
Retrieve Data using the API of the 'Pandora' Data Platform
Random Effects and/or Sample Selection Models for Panel Count
Data
Panel Data Analysis with Heterogeneous Dynamics
Matching Methods for Causal Inference with Time-Series
Cross-Sectional Data
Inference for Panel Partially Observed Markov Processes
Regression Models and Utilities for Repeated Measures and Panel
Data
Create Publication-Ready Regression Tables with Panels
Two-Way Error Component SUR Systems Estimation on Unbalanced
Panel Data
Two- And Three-Way Dynamic Panel Threshold Regression Model for
Change Point Detection
A Semi-Parametric Test for Specifying Functional Form
Visualisation and Annotation of 360 Degree Imagery
Prepare American Psychological Association Journal Articles with
R Markdown
Prevalence Adjusted PPV Confidence Interval
A Toolbox for Writing Pretty Papers and Reports
Distance Recordings from a Paper Plane Folding/Flying Experiment
Define and Work with Parameter Spaces for Complex Algorithms
Parallel Factor Analysis Modelling of Longitudinal Microbiome
Data
Parallel Distance Matrix Computation using Multiple Threads
Support for Parallel Computation, Logging, and Function
Automation
Unified Interface to Parallelization Back-Ends
Combining Subset MCMC Samples to Estimate a Posterior Density
Parallel Partitioning-Around-Medoids (PAM) for Big Sets of Data
Paralellised Versions of Constraint Based Causal Discovery
Algorithms
`htmlwidget` for a Parallel Coordinates Plot
Raw, Central and Standardized Moments of Parametric
Distributions
Parametric and Non-Parametric Demographic Functions and
Applications
A Shiny GUI for some Parameter Estimation Examples
Helpers for Parameters in Black-Box Optimization, Tuning and
Machine Learning
Numeric and Visual Comparisons of Heterogeneity in Parametric
Models
Parametric Linkage and Other Pedigree Analysis in R
Run a Function Iteratively While Varying Parameters
Horn's Test of Principal Components/Factors
Parallel Bayesian Optimization of Hyperparameters
Interactive Parallel Categories Diagrams for 'easyalluvial'
Construct Parsers for Structured Text Files
Parallel implementation of the "segment" function of package
"DNAcopy"
The Pareto, Piecewise Pareto and Generalized Pareto Distribution
Computing, Fitting and Validating the PPS Distribution
Pollution-Associated Risk Geospatial Analysis Site
Color Palettes Inspired by Paris 2024 Olympic and Paralympic
Games
Portfolio Allocation and Risk Management Applications
Parallel Mutual Information Estimation for Gene Network
Reconstruction
Recognize and Parse Dates in Various Formats, Including All ISO
8601 Formats
Parallel Dynamic Web-Scraping Using 'RSelenium'
Formal Parser and Related Tools for R Markdown Documents
Parse and Manipulate Research Patient Data Registry ('RPDR')
Text Queries
A Common API to Modeling and Analysis Functions
Estimation and Diagnostics for Partially Linear Censored
Regression Models Based on Heavy-Tailed Distributions
Partitioning Using Deletion, Substitution, and Addition Moves
Estimating Peer Effects Using Partial Network Data
Optimisation with Particle Swarm Optimisation
A Graph Based Particle Simulator Based on D3-Force
Parametric Time-Dependent Receiver Operating Characteristic
Agglomerative Partitioning Framework for Dimension Reduction
Methods for Calculating the Loreau & Hector 2001 BEF Partition
Implements Measures for the Comparison of Two Partitions
Compute a distance metric between two partitions of a set
Periodic Autoregressive Time Series Models
An Implementation of Process-Aware Stealthy Attack
Detection(PASAD)
Summarize Daily Physical Activity from 'SenseWear' Accelerometer
Data
Power and Sample Size for Linear Mixed Effect Models
Calculate Power and Sample Size for Two Sample Mean Tests
Assessing the Partial Association Between Ordinal Variables
Travel Smoothly Between Country Name and Code Formats
Spaghetti-Plot Fixed and Random Effects of Linear Mixed Models
Simulation of Parameterized Stochastic Boolean Networks
Manipulate Time Series of Palaeoclimate Reconstructions
'RStudio' Addin to Paste the Clipboard as a Comment Block or a
'roxygen' Block
Package for Analysis of Space-Time Ecological Series
Probability and Statistics with R, Second Edition
Package to Patch '.dvi' or '.synctex' Files
Communication Between Editor and Viewer for Literate Programs
Access USPTO Bulk Data in Tidy Rectangular Format
Enrichment Analysis Utilizing Active Subnetworks
Path Component Fit Indices for Latent Structural Equation Models
An Imputation Approach to Estimating Path-Specific Causal
Effects
Wrangle, Analyze, and Visualize Animal Movement Data
Spatial Projection of Network Signals along Geodesic Paths
Identify Characteristics of Patients in the OMOP Common Data
Model
Feature Extraction from Female Brown Anole Lizard Dorsal
Patterns
Quantification of Color Pattern Variation
Versatile Pie Charts, Ring Charts, Bar Charts and Box Plots
using Patterns, Colors and Images
Deciphering Biological Networks with Patterned Heterogeneous
Measurements
Perceptual Analysis, Visualization and Organization of Spectral
Colour Data
Amazon Web Services Software Development Kit
'Amazon Web Services' Analytics Services
'Amazon Web Services' Application Integration Services
'Amazon Web Services' Cost Management Services
'Amazon Web Services' Customer Engagement Services
'Amazon Web Services' Developer Tools Services
'Amazon Web Services' End User Computing Services
'Amazon Web Services' Machine Learning Services
'Amazon Web Services' Management & Governance Services
'Amazon Web Services' Networking & Content Delivery Services
'Amazon Web Services' Security, Identity, & Compliance Services
Pain Assessment at Withdrawal Speeds (PAWS)
Adding Progress Bar to '*apply' Functions
Pedigree/Family-Based Genetic Association Tests Analysis and
Power
Position Balanced and Nearly Position Balanced Block Designs
Protracted Birth-Death Model of Diversification
R Interface to MPI for HPC Clusters (Programming with Big Data
Project)
Programming with Big Data -- Scalable Linear Algebra Packages
Programming with Big Data -- Interface to 'ZeroMQ'
Partially Balanced Incomplete Block Designs
A Set of Datasets Used in My Classes or in the Book 'Modele
Liniowe i Mieszane w R, Wraz z Przykladami w Analizie Danych'
Estimating the Probability of Being in Response and Related
Outcomes
Parametric Bootstrap, Kenward-Roger and Satterthwaite Based
Methods for Test in Mixed Models
Tracking the Progress of Mc*pply with Progress Bar
Permutation Based Non-Parametric Analysis of CRISPR Screen Data
Exploring Multivariate Spaces with Probability Boxes
Mapping Fisheries Data and Spatial Analysis Tools
GUI Tools Made Easy: Interact with Models and Explore Data
Probabilities for Bivariate Normal Distribution
Fast Principal Component Analysis for Outlier Detection
Tools for Principal Component Analysis-Based Data Structure
Comparisons
Calibration of P-Values for Point Null Hypothesis Testing
Methods for Graphical Models and Causal Inference
Match Cases to Controls Based on Genotype Principal Components
Fast and Accurate Randomized Singular Value Decomposition
Algorithms with 'PCAone'
Enhanced 'PAM50' Subtyping of Breast Cancer
Finding the Number of Significant Principal Components
Dynamic Principal Components for Periodically Correlated
Functional Time Series
Proximity Catch Digraphs and Their Applications
Underlying Graphs of Proximity Catch Digraphs and Their
Applications
Model Fitting to Progressively Censored Mixture Data
Principal Component of Explained Variance
Stan Models for the Paired Comparison Factor Model
Computation of Ancestry Scores with Mixed Families and Unrelated
Individuals
Preconditioned Conjugate Gradient Algorithm for solving Ax=b
Reconstruction of Causal Networks for Data with Random Genetic
Effects
Partial Correlation Graph with Information Incorporation
Piecewise Constant Hazard Models for Censored and Truncated Data
Bayesian Network Learning with the PCHC and Related Algorithms
A Collection of Process Capability Index Functions
Implementation of POSIXct Work-Alike for 365 and 360 Day
Calendars
IRT Models for Polytomous and Continuous Item Responses
Group Regression Models for Risk Protein Complex Identification
Approximate Bayesian Computations for Phylogenetic Comparative
Methods
Simulation and Likelihood Calculation of Phylogenetic
Comparative Models
Fast Likelihood Calculation for Phylogenetic Comparative Models
Model Response Styles in Partial Credit Models
Bandwidth Selector with Penalized Comparison to Overfitting
Criterion
Estimation of an Ordinary Differential Equation Model by
Parameter Cascade Method
Principal Coordinates of Phylogenetic Structure
Analyzing Real-Time Quantitative PCR Data
Companion to Portfolio Construction and Risk Analysis
Calculate the Probability of Correct Selection (PCS)
Panel-Corrected Standard Error Estimation in R
Parallel Constraint Satisfaction Networks in R
Tools for Regression Using Pre-Computed Summary Statistics
Convenient Tool for Solving the Prize-Collecting Steiner Tree
Problem
Professional Comprehensive Omics Data Analysis
Periodically Correlated and Periodically Integrated Time Series
Some Useful Functions for Statistics and Visualization
Plant Phenotyping and Bayesian Statistics
Extract Tables and Sentences from PDFs with User Interface
Cluster Analysis via Nonparametric Density Estimation
Multivariate Nonparametric Probability Density Estimator
Fetch Economic and Financial Time Series Data from Public
Sources
Read Portable Document Format (PDF) Files
Text Extraction, Rendering and Converting of PDF Documents
Phenotypic Index Measures for Oak Decline Severity
Proximal/Distal Modeling Framework for Pavlovian Conditioning
Phenomena
Pattern Discovery in PDB Structures of Metalloproteins
PDQ Functions via Gram Charlier, Edgeworth, and Cornish Fisher
Approximations
Threshold Model and Unit Root Tests in Cross-Section and Time
Series Data
Positive Definite Sparse Covariance Estimators
An Analysis Toolbox for Hermitian Positive Definite Matrices
Collection of Tools for PD Rating Model Development and
Validation
Time to Event Outcome in Experimental Designs of Pre-Clinical
Studies
Moment Condition Based Estimation of Linear Dynamic Panel Data
Models
Tools and Data for Quantitative Peace Science Research
Pareto Enrichment Analysis for Combining Heterogeneous Datasets
Two and Three Dimensional Kolmogorov-Smirnov Two-Sample Tests
Periodogram Peaks in Correlated Time Series
Monitor the Total and Peak RAM Used by an Expression or Function
Dynamic Programming Algorithm for Peak Detection in ChIP-Seq
Data
Joint Peak Detection in Several ChIP-Seq Samples
Optimal Segmentation Subject to Up-Down Constraints
Maximum Likelihood Inference for the Pearson VII Distribution
with Shape Parameter 3/2
Independent Component Analysis using Score Functions from the
Pearson System
Prediction Error Curves for Risk Prediction Models in Survival
Analysis
Gene-Level Variant Association Tests for Pedigree Data
Versatile Functions for Working with Pedigrees
Mutation Models for Pedigree Likelihood Computations
Public Economic Data and Quantitative Analysis
Pedigree, Genetic Merit, Phenotype, and Genotype Simulation
Easy Installation of the 'pedsuite' Packages for Pedigree
Analysis
Creating and Working with Pedigrees and Marker Data
Visualize, Summarize and Simulate Data from Pedigrees
Client-Side R API Wrapper for Peer Models Network Model
Repository
Luck-Corrected Peer Performance Analysis in R
Population and Evolutionary Genetics Analysis System
Population Proportion Estimation using Group Testing
Post-Translational Modification Enrichment, Integration, and
Matching Analysis
Geophysical Inverse Theory and Optimization
Data About Historic Pell Grant Distribution in the US
Probabilistic Sex Estimate using Logistic Regression, Based on
VISual Traits of the Human Os Coxae
Proportion Estimation with Marginal Proxy Information
Portable Emissions (and Other Mobile) Measurement System
Utilities
L1-Penalized Multinomial Regression with Statistical Inference
Fit the Regularized Gehan Estimator with Elastic Net and Sparse
Group Lasso Penalties
L1 (Lasso and Fused Lasso) and L2 (Ridge) Penalized Estimation
in GLMs and in the Cox Model
Estimate a Penalized Linear Model using the CDF Penalty Function
Integrative Penalized Conditional Logistic Regression
Feature Selection SVM using Penalty Functions
Penalized Regression Calibration (PRC) for the Dynamic
Prediction of Survival
Estimating Non-Simplified Vine Copulas Using Penalized Splines
Density Estimation with a Penalized Mixture Approach
Single- And Multiple-Group Penalized Factor Analysis
Semiparametric Regression Analysis of Interval-Censored Data
using Penalized Splines
Estimating Regularized Multi-state Models Using L1 Penalties
Variable Selection in PH Cure Model with Time-Varying Covariates
Penalized Poisson Pseudo Maximum Likelihood Regression
Penalized Elastic Net S/MM-Estimator of Regression
Simulation of High-Dimensional Data and Parallelized Repeated
Penalized Regression
Data Sets for Craig Starbuck's Book, "The Fundamentals of People
Analytics: With Applications in R"
Data Sets for Keith McNulty's Handbook of Regression Modeling in
People Analytics
Tests of Equal Predictive Accuracy for Panels of Forecasts
Bayesian Variable Selection using Power-Expected-Posterior Prior
Parallelised Estimation of Prediction Error
A Versatile Toolkit for Peptide Mapping, Visualization, and
Comparative Exploration
Piecewise Exponential Distribution with Random Time Grids
Calculate Indices and Theoretical Physicochemical Properties of
Protein Sequences
A Toolkit for Using Peptide Sequences in Machine Learning
Permutation Tests for Randomization Model
Using Percolation and Conductance to Find Information Flow
Certainty in a Direct Network
Estimate Percentiles from an Ordered Categorical Variable
Performance Measures for Ranking and Classification Tasks
Assessment of Regression Models Performance
Econometric Tools for Performance and Risk Analysis
An Infra-Structure for Performance Estimation of Predictive
Models
Functions for Generating Periodic Curves
Enterprise Streamlined 'Shiny' Application Framework
Enterprise Streamlined 'shiny' Application Framework Using
'bs4Dash'
Predicting Environmental Concentration and Risk
Permutational Algorithm to Simulate Survival Data
Multivariate Analysis of Variance Based on Distances and
Permutations
Performance Metrics in Predictive Modeling
Chacko Test for Order-Restriction with Permutation
Robust Permutation Tests of Correlation Coefficients
Permutational Group Sequential Test for Time-to-Event Data
Permutation Based Gene Expression Pathway Analysis
A Permutation Based Test for Biomarker Discovery in Microbiome
Data
Permutation Tests for Regression, (Repeated Measures)
ANOVA/ANCOVA and Comparison of Signals
Conduct Permutation Analysis of Variance in R
The Symmetric Group: Permutations of a Finite Set
Functions for Generating Restricted Permutations of Data
Run Permutation Tests and Construct Associated Confidence
Intervals
A Coding Assistant using Perplexity's Large Language Models
Fitting Periodic Coefficients Linear Regression Models
Resampling-Based Prediction Error Estimation for Regression
Models
Examples for Integrating Prediction Error Estimation into
Regression Models
Personalized Diagnostics Rules for Subgroup Identification and
Personalized Biomarker Discovery
Automated Persomics Array Image Extraction
Estimation and Validation Methods for Subgroup Identification
and Personalized Medicine
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Permutation of Species During Turnover Events
Reviewed Official Classification of Endangered Wild Flora
Species in Peru
A Tidy API for Sequence Iteration and Set Comprehension
Catalogue of the Timber Forest Species of the Peruvian Amazon
Automatic Estimation of Number of Principal Components in PCA
Computes Danish Pesticide Load Indicator
Interface to Download Data on Pests and Hosts from 'EPPO'
Estimators for Two-Sample Capture-Recapture Studies
A Collection of R Functions by the Petersen Lab
Power-Enhanced (PE) Tests for High-Dimensional Data
Building, Visualizing, Exporting and Replaying Petri Nets
Reproducible Retrieval of Pew Research Center Datasets
Loading a JAGS Module for the Piecewise Exponential Distribution
Phylogenetics for the Environmental Sciences
Estimates False Discovery Proportion Under Arbitrary Covariance
Dependence
Independent Components Analysis Techniques for Functional Data
Estimating Penalized Functional Linear Regression
Generate Random Samples from the Polya-Gamma Distribution
Penalized Generalized Estimating Equations in High-Dimension
Penalized Generalized Estimating Equations for Bivariate Mixed
Outcomes
Spatial Analysis and Data Mining for Field Ecologists
Parametrically Guided Kernel Density Estimator for Spherical
Data
Nested Resolvable Designs and their Associated Uniform Designs
Pseudo-Realizations for Gaussian Process Excursions
Build Dependency Graphs using Projection
Discover Probable Duplicates in Plant Genetic Resources
Collections
Single-Cell RNA Sequencing Pseudo-Time Based Gene Regulatory
Network Inference
Computes Powell's Generalized Synthetic Control Estimator
Functions for Generating PostgreSQL Statements/Scripts
Phase II Clinical Trial Design Using Bayesian Methods
Phase II Clinical Trial Design for Multinomial Endpoints
Sensitivity Analysis for p-Hacking in Meta-Analyses
Create Phantom Variables in Structural Equation Models for
Sensitivity Analyses
Enhanced RTF Wrapper for Use with Existing Table Packages
ADaM Test Data for the 'Pharmaverse' Family of Packages
SDTM Test Data for the 'Pharmaverse' Family of Packages
Interface to the 'Pharmpy' 'Pharmacometrics' Library
Simulating and Conducting Phase 123 Trials
Simulates SPSO and Efftox Phase 12 Trials with Correlated
Outcomes
Personalized Repeated Measurement Design for Phase I Clinical
Trials
Repeated Measurement Design for Phase I Clinical Trial
Phase Plane Analysis of One- And Two-Dimensional Autonomous ODE
Systems
PHATE - Potential of Heat-Diffusion for Affinity-Based
Transition Embedding
Poisson Hurdle Clustering for Sparse Microbiome Data
Permutation Testing in High-Dimensional Linear Models
Enhance the Ease of R Experience as an Emerging Researcher
Classifying High-Dimensional Phenotypes with Ensemble Learning
High-Throughput Phenotyping with EHR using a Common Automated
Pipeline
Visualization for PheCode Mapping with ICD-9 and ICD-10-CM Codes
Common Public Health Statistics and their Confidence Intervals
Estimate Phenological Metrics using Presence-Only Data
Auxiliary Functions for Phenological Data Analysis
Auxiliary Functions for Phenological Data Processing, Modelling
and Result Handling
Insect Phenology Model Evaluation Based on Daily Temperatures
Facilitates 'PhenoCam' Data Access and Time Series
Post-Processing
Continuous Development Models for Incremental Time-Series
Analysis
Extract Remote Sensing Vegetation Phenology
Time-Series Models to the Crop Phenology
Tools to Manage a Parametric Function that Describes Phenology
and More
Projecting Satellite-Derived Phenology in Space
Process Digital Images of a Vegetation Cover
Unsupervised Gold-Standard Label Free Phenotyping Algorithm for
EHR Data
Flexible Phenotype Simulation from Different Genetic and Noise
Models
Phenology Modelling of Thaumetopoea Processionea
Evaluation of the Proportional Hazards Assumption and Test for
Comparing Survival Curves with a Standardized Score Process
Automatic Phenotyping of Electronic Health Record at Visit
Resolution
Owen's T Function and Bivariate Normal Integral
Similarity and Distance Quantification Between Probability
Functions
Tools for Inference in the Presence of a Monotone Likelihood
Analyzing the Heterogeneity of Single-Cell Populations
Pathways Longitudinal and Differential Analysis in Metabolomics
The Phoenix Pediatric Sepsis and Septic Shock Criteria
Convert Letters to Numbers and Back as on a Telephone Keypad
Tools for Phonetic and Acoustic Analyses
Spectral Transmittance and Spectral Reflectance Data
Read Spectral and Logged Data from Foreign Files
Plant Photobiology Related Functions and Data
Waveband Definitions for UV, VIS, and IR Radiation
Tools for Plant Ecophysiology & Modeling
R Interface to Geochemical Modeling Software
Standard Methods for Use in Public Health Scotland
Penalised Maximum Likelihood Estimation for Hidden Semi-Markov
Models
An Extension (for Package 'SigTree') of Some of the Classes in
Package 'phylobase'
Combined Visualisation of Phylogenetic and Epidemiological Data
Base Package for Phylogenetic Structures and Comparative Data
Interactive Phylogenetic Trees Using the 'Phylocanvas'
JavaScript Library
Integrating Phylogenetics and Climatic Niche Modeling
Automatic Shift Detection using a Phylogenetic EM
Functions for Phylogenetically Based Statistical Analyses
Hierarchical Partitioning of R2 for Phylogenetic Linear
Regression
Estimating Statistical Errors of Phylogenetic Metrics
Comparative Analyses of Lineage-Pair Traits
Evolutionary Diversity Metrics for Raster Data
Sample Size Calculations for Molecular and Phylogenetic Studies
Graph-Based Permutation Tests for Microbiome Data
Exploring the Phylogenetic Signal in Continuous Traits
Calculating Topological Properties of Phylogenies
Classifying DNA Sequences to Taxonomic Groupings
Detect and Remove Outliers in Phylogenomics Datasets
The Phylogenetic Regression of Grafen (1989)
Marks Periods of 'Bedrest' in Actigraph Accelerometer Data
Process Accelerometer Data for Physical Activity Measurement
A Fast, Flexible Tool for Sorting Phylogenetic Trees
Estimate Chla Concentrations of Phytoplankton Groups
Phylogenetic Tools for Comparative Biology (and Other Things)
Phytosanitary Calculator for Inspection Plans Based on Risks
Pathwise Calibrated Sparse Shooting Algorithm
Bayesian Models for Partly Interval-Censored Data
Pick Data Points from a Deck.gl Scatterplot
Read, Write and Manipulate High Dynamic Range Images
Predictive Information Criteria for Model Selection
Bayesian Model to Find Changepoints Based on Rates and Count
Data
Calculate a Piecewise Normalised Score Using Class Intervals
Managing Larger Data on a GitHub Repository
Search Data Frames for Personally Identifiable Information
R Wrapper for 'pikchr' (PIC) Diagram Language
Prediction Intervals for Random-Effects Meta-Analysis
Sequence ('FASTA'), Annotation ('GFF') and Variants ('VCF') for
17 Samples of 'P. Infestans" and 1 'P. Mirabilis'
Identify, Ping, and Log Internet Provider Connection Data
Improved Methods for Constructing Prediction Intervals for
Network Meta-Analysis
Data About the Victims of the Pinochet Regime, 1973-1990
Clustering Algorithm for Data Integration and Disease Subtyping
Estimation of the Probability of Informed Trading
Access to Pinterest Ads via the 'Windsor.ai' API
Convert Chinese Characters into Pinyin, Sijiao, Wubi or Other
Codes
Productivity and Efficiency Analysis using DEA
Dual-Agent Dose Escalation for Phase I Trials using the PIPE
Design
Flexible Binding for Complex Function Evaluation with the Base R
|> Pipe
Diagnostics, Reliability and Predictive Maintenance of Pipeline
Systems
R Interface to Proximal Interior Point Quadratic Programming
Solver
Calculate Pi Ratings for Teams Competing in Sport Matches
Small Example Response and Response Time Data from PISA 2018
Pivotal Methods for Bayesian Relabelling and k-Means Clustering
Tables so Beautifully Fine-Tuned You Will Believe It's Magic
Variational Inference for High-Dimensional Joint Frailty Model
Achieve Numerical Conversion Between Units Commonly Used in
Pharmacokinetics
Pharmacokinetic Bioanalysis Experiments Design and Exploration
The Parameter Converter of the Pharmacokinetic Models
Cache 'CRAN'-Like Metadata and R Packages
Package Dependency Resolution and Downloads
Statically Determine Function Dependencies Between Packages
Make Static HTML Documentation for a Package
Download and Manage Optional Package Data
A Consistent and Intuitive Platform to Explore the Dependencies
of Packages on the Comprehensive R Archive Network Like
Repositories
Graph the Relationship Between Functions in an R Package
Create Simple Packages Which Do not Upset R Package Checks
Simulate Package Installation and Attach
Analyze Dependency Heaviness of R Packages
Get Network Representation of an R Package
Public Key Infrastucture for R Based on the X.509 Standard
Least-Squares Estimator under k-Monotony Constraint for Discrete
Functions
Tools for Performing Pharmacokinetic-Pharmacodynamic Simulations
Global Sensitivity Analysis in Physiologically Based Kinetic
Modeling
Tabulate P.L. 94-171 Redistricting Data Summary Files
A Pairwise Likelihood Augmented Cox Estimator for Left-Truncated
Data
PLastic ACcumulation Estimate using R (PLACER)
Plot Raster Images Interactively on a Plain HTML Canvas
Functions for Calculating Dodge Romig, MIL STD 105E and MIL STD
414 Acceptance Sampling Plan
Processing of the 'Planet NICFI' Satellite Imagery
Simple and Accessible Data from all Known Planets
A Sample Size Calculator for Machine Learning Applications in
Healthcare
Tools for Supply Chain Management, Demand and Supply Planning
Score Redistricting Plans with 'PlanScore'
Modelling and Analysis of Leaf Gas Exchange Data
Fundamental Formulas for Plant Physiology
Extract Demographic and Competition Data from Fine-Scale Maps
Partially Linear Additive Quantile Regression
Partial LeAst Squares for Multiomic Analysis
Tumor Mutation Detection in Plasma using Barcoding
Visualization of Plasmid Profile Results
Read, Tidy, and Display Data from Microtiter Plates
Optimal Two-Period Multiarm Platform Design with New
Experimental Arms Added During the Trial
Data from a Test of the PlatoWork tDCS Headset
Single-Cell Immune Repertoire and Gene Expression Analysis
Generate Pizza Chart: Player Stats 0-100
Dynamic Updating Methods for Player Ratings Estimation
Post-Linkage Data Analysis Based on Mixture Modelling
Penalized Log-Density Estimation Using Legendre Polynomials
Pleiotropy Test for Multiple Traits on a Genetic Marker
Pseudo-Likelihood Estimation of Log-Multiplicative Association
Models
Portmanteau Local Feature Discrimination for Matrix-Variate Data
A GUI to View, Design and Export Various Graphs of Data
Receiver Operating Characteristic Based on Power Lindley
Distribution
IRT Separate Calibration Linking Methods
Multiplicity Control using Pooled LIS Statistic
Bayesian Analysis of Finite Mixtures of Plackett-Luce Models for
Partial Rankings/Orderings
Estimate (Generalized) Linear Mixed Models with Factor
Structures
Penalized Linear Mixed Models for Correlated Data
Polytomous Logit-Normit (Graded Logistic) Model Estimation
Multivariate Ordered Probit Model via Pairwise Likelihood
Prediction with Less Overfitting and Robust to Noise
Plotting Multi-Dimensional Data - Using 'rgl'
Diagnostic and Plotting Functions to Supplement 'bartCause'
Density Contour Plot for Bivariate Inverse Gaussian Distribution
Easily Visualize Data from 'ERDDAP' Servers via the 'rerddap'
Package
Plot Summary Statistics as Choropleth Maps of Danish
Administrative Areas
Various Functions to Facilitate Visualization of Data and
Analysis
Tools for Visualizing Gaussian Mixture Models
New Plots Based on 'ggplot2' and Functions to Create Regular
Shapes
'ggplot2' Version of "I'm Feeling Lucky!"
Create Interactive Web Graphics via 'plotly.js'
Render 'Plotly' Maps without an Internet Connection
Plot Marginal Effects from Linear Models
Tidy Tools for Visualizing Mixture Models
Plot a Model's Residuals, Response, and Partial Dependence Plots
Produces an Odds Ratio Plot from a Logistic Regression Model
Plot Principal Component Histograms Around a Scatter Plot
Useful Networking Tools for Project Management
Generate Useful ROC Curve Charts for Print and Interactive Use
Scale Graphics Devices Using Plot Dimensions
Explore Your Data with Interactive Figures
Graphing Nonlinear Relations Among Latent Variables from
Structural Equation Mixture Models
High-Level Plotting Built Upon 'ggplot2' and Other Plotting
Packages
Spider Plots, ROC Curves, Pie Charts and More for Use in Other
Plots
Prediction Limits for Poisson Distribution
Power Logit Regression for Modeling Bounded Data
Statistical Inference in Partial Linear Regression Models
Partial Least Squares and Principal Component Regression
Partial Least Squares (PLS) Data Analysis Methods
Degrees of Freedom and Statistical Inference for Partial Least
Squares Regression
Methods for Partial Linear Single Index Model
Variable Selection and Inference for Partial Semiparametric
Linear Mixed-Effects Model
Linear and Smooth Predictor Modelling with Penalisation and
Variable Selection
Partial Least Squares Path Modeling (PLS-PM)
Partial Least Squares Regression for Beta Regression Models
Partial Least Squares Regression for Cox Models and Related
Techniques
Partial Least Squares Regression for Generalized Linear Models
Variable Selection in Partial Least Squares
Simulate Probabilistic Long-Term Effects in Models with Temporal
Dependence
Turn 'Plumber' APIs into 'Tableau' Extensions
A Simple Author Handler for Scientific Writing
Coordinates to 'Plus Code' Conversion Tool
Tools for Splitting, Applying and Combining Data
Propensity Score Matching for Unordered 3-Group Data
Identify Prognosis-Related Pathways Altered by Somatic Mutation
Panomics Marketplace - Quality Control and Statistical Analysis
for Panomics Data
Calibration Curves for Clinical Prediction Models
Parallel Model-Based Clustering using
Expectation-Gathering-Maximization Algorithm for Finite Mixture
Gaussian Model
Calculate Pairwise Multiple Comparisons of Mean Rank Sums
Calculate Pairwise Multiple Comparisons of Mean Rank Sums
Extended
Paired Mass Distance Analysis for GC/LC-MS Based Non-Targeted
Analysis and Reactomics Analysis
Calculates Earned Value for a Project Schedule
Calculation of the Penman-Monteith Evapotranspiration using
Weather Variables
Minimal Working Examples for Particle Metropolis-Hastings
Interface to the Penn Machine Learning Benchmarks Data
Repository
Deconvolution Density Estimation using Penalized MLE
Transforms Input Data from a PMML Perspective
Create and Maintain a Relational Database of Data from
PubMed/MEDLINE
Sample Size for Development of a Prediction Model
Sample Size for External Validation of a Prediction Model
Downloading, Reading and Analyzing PNADC Microdata
Downloading, Reading and Analyzing PNDS Microdata - Package in
Development
Downloading, Reading and Analyzing PNS Microdata
Color Palettes Inspired by Nature in the US Pacific Northwest
Finds the Price of Anarchy for Routing Games
Dose Finding in Drug Combination Phase I Trials Using PO-CRM
Probability of Detection for Qualitative PCR Methods
Legacy Scottish Post Office Directories Cleaner
Village Potential Statistics of Indonesia
Principal Orthogonal ComplEment Thresholding (POET) Method
Bayesian Variable Selection for a Poisson-Logistic Model
DataCrunchers (PogromcyDanych) is the Massive Online Open Course
that Brings R and Statistics to the People
Classification and Clustering of Sequencing Data Based on a
Poisson Model
Poisson Lognormal and Bivariate Poisson Lognormal Distribution
Data Validation and Organization of Metadata for Local and
Remote Tables
Fit Models Derived from Point Processes to Species Distributions
using 'inlabru'
Interpretation of Point Forecasts as State-Dependent Quantiles
and Expectiles
Working Comfortably with Pointers and Shortcuts to R Objects
Analyzing Pointer Years and Components of Resilience
Data Generation with Poisson, Binary and Continuous Components
A Faster Implementation of the Poisson-Binomial Distribution
Data Generation with Poisson, Binary and Ordinal Components
Generation of Up to Four Different Types of Variables
Data Generation with Poisson, Binary, Ordinal and Normal
Components
Confidence Intervals with Poisson Double Sampling
Factorization of Sparse Counts Matrices Through Poisson
Likelihood
Simultaneous Generation of Count and Continuous Data
Simultaneous Generation of Multivariate Data with Poisson and
Normal Marginals
Fit High Dimensional Mixtures of Poisson GLMs
Efficient Computation of Ordinary and Generalized Poisson
Binomial Distributions
Pokemon Data in English and Brazilian Portuguese
Access the Polarization in Comparative Attitudes Project
Polytomous Variable Latent Class Analysis
Tools for Managing, Measuring and Visualizing Policy Portfolios
Policy Learning via Doubly Robust Empirical Welfare Maximization
over Trees
Datasets and Functions Featured in Pollock and Edwards, an R
Companion to Essentials of Political Analysis, Second Edition
Authentication and Hosting for 'shiny' Apps
Estimate Pollinator Body Size and Co-Varying Ecological Traits
Calculate Crosstab and Topline Tables of Weighted Survey Data
Implementation of the Polya-Aeppli Distribution
Assignment of Haplotypes Based on SNP Dosages in Diploids and
Polyploids
Multiple Integration over Convex Polyhedra
Find the Pole of Inaccessibility (Visual Center) of a Polygon
Linkage Analysis in Outcrossing Polyploids
Infrastructure for Manipulation Polynomial Matrices
A Collection of Functions to Implement a Class for Univariate
Polynomial Manipulations
Paternity Exclusion in Autopolyploid Species
Helper Functions for Orthogonal Polynomials
QTL Analysis in Autopolyploid Bi-Parental F1 Populations
Genotype Calling with Uncertainty from Sequencing Data in
Polyploids and Diploids
Tools for Polyploid Microsatellite Analysis
Simulate and Test Marker Dosage for Dominant Markers in
Autopolyploids
Bayesian Mixture Models for Marker Dosage in Autopolyploids
Bootstrapped Basis Regression with Oracle Model Selection
Power for Meta-Analysis of Dependent Effects
Adaptive Association Tests for Multiple Phenotypes using
Proportional Odds Model (POM-aSPU)
Graphical Check for Proportional Odds Assumption
Infrastructure for Partially Observable Markov Decision
Processes (POMDP)
Interface to 'pomdp-solve' for Partially Observable Markov
Decision Processes
Pattern Oriented Modelling Information Criterion
Predictive Power of Linear and Tree Modeling
Statistical Inference for Partially Observed Markov Processes
Person-Oriented Method and Perturbation on the Model
Phylogenetic Organization of Metagenomic Signals
Approximate Bayesian Computation with Pooled Sequencing Data
Balancing Central and Marginal Rejection of Pooled p-Values
Calculate Gross Biogeochemical Flux Rates from Isotope Pool
Dilution Data
Predicted Risk for CVD using Pooled Cohort Equations, PREVENT
Equations, and Other Contemporary CVD Risk Calculators
Pooled Mean Group Estimation of Dynamic Heterogenous Panels
Computing f-Statistics and Building Admixture Graphs Based on
Allele Count or Pool-Seq Read Count Data
Simulates Pooled Sequencing Genetic Data
Methods for Pooling P-Values from (Dependent) Tests
Prevalence and Regression for Pool-Tested (Group-Tested) Data
Gene-Based Association Tests using the Actual Impurity Reduction
(AIR) Variable Importance
A Poor Man's Dependency Free Recreation of 'dplyr'
A Flexible Syntax for Population Dynamic Modelling
Bayesian Model to Estimate Population Trends from Counts Series
Construction and Analysis of Matrix Population Models
Demographic Modelling Using Projection Matrices
Posterior Predictive (PoP) Design for Phase I Clinical Trials
Population (and Individual) Optimal Experimental Design
Functions for Epidemiological Analysis using Population Data
Streamline Population Genomic and Genetic Analyses
Accompaniment to Population Genetics with R: An Introduction for
Life Scientists
A Simple Framework to Analyse Population and Landscape Genetic
Data
Assumption-Lean and Data-Adaptive Post-Prediction Inference
Estimate Kinship and FST under Arbitrary Population Structure
Classify Digital PCR Droplets by Fitting Fluorescence
Populations
Genetic Analysis of Populations with Mixed Reproduction
Reconstruct Human Populations of the Recent Past
Applied Techniques to Demographic and Time Series Analysis
Estimate Smooth and Linear Trends from Population Count Survey
Data
Population Downscaling Using Areal Interpolation
Demographic Analysis and Data Manipulation
Genomic Breeding Tools: Genetic Variance Prediction and
Cross-Validation
Ridge-Type Penalized Estimation of a Potpourri of Models
Get the Same, Personal, Free 'TCP' Port over and over
Acceder Con R a Los Datos Del Portal De Hacienda
Create Useful Summaries of the Portal Data
Portmanteau Tests for Time Series Models
Portfolio Analysis, Including Numerical Methods for Optimization
of Portfolios
Automated Backtesting of Portfolios over Multiple Datasets
Vine Based (Un)Conditional Portfolio Risk Measure Estimation
Valid Post-Selection Inference for Linear LS Regression
Post-Selection Inference for Adjusted R Squared
Individual Dose Optimization using Population Pharmacokinetics
Quotient of Random Variables Conditioned to the Positive
Quadrant
Power Simulation for Sequential Analyses and Multiple Hypotheses
Create Beautiful, Simple Personal Websites
Minimal and Uncluttered Package Documentation
Generate PDF Conference Posters Using R Markdown
Tools for Working with Posterior Distributions
Non-Parametric Sampling with Parallel Monte Carlo
Data Processing after Running 'GGIR' for Accelerometer Data
Estimating the Incubation Period Distribution of Post-Infectious
Syndrome
Parses Web Pages using Postlight Mercury
Phylogeny-Guided OTU-Specific Association Test for Microbiome
Data
Utilities for Processing Posterior Samples Stored in
'mcmc.lists'
Generalized Pareto Distribution and Peaks Over Threshold
Tools for Internationalization and Portability in R Packages
Markov Chain Monte Carlo for Potts Models
Phased or Unphased Linkage Disequilibrium
The Phylogenetic Ornstein-Uhlenbeck Mixed Model
Partition of Variation Variance Component Analysis Method
Full Pattern Summation of X-Ray Powder Diffraction Data
Location and Scale Invariant Power Transformations
Power and Sample-Size Distribution of 2-Stage Bioequivalence
Studies
Phylogenetic Tree Models and the Power of Tree Shape Statistics
An Interface to the 'Power BI REST APIs'
Power Analysis Tool for Joint Testing Hazards with Competing
Risks Data
Power and Sample Size Calculation for Bulk Tissue and
Single-Cell eQTL Analysis
A Bootstrap-Based Power Estimation Tool for Spatial
Transcriptomics
Power Calculations for GxE and GxG Interactions for GWAS
Extensions of 'dplyr' and 'fuzzyjoin' Join Functions
Sample Size Analysis for Psychological Networks and More
Power/Sample Size Calculation for Mediation Analysis
Simulation-Based Power Estimation (MSPE) for Nonlinear SEM
Power Analyses for the Affected Sib Pair and the TDT Design
Calculate Standardised Drought Indices Using NASA POWER Data
Power and Sample Size Calculation for Survival Analysis of
Epidemiological Studies
Power and Sample Size for (Bio)Equivalence Studies
Power Analysis Tools for Multilevel Randomized Experiments
Perform Power Analysis for the RI-CLPM and STARTS Model
Projection Pursuit for Big Data Based on Data Nuggets
Partial Principal Component Analysis of Partitioned Large Sparse
Matrices
Probability Plot Correlation Coefficient Test
An Optimal Subset Selection for Distributed Hypothesis Testing
Projection Pursuit for Cluster Identification
Probabilistic and Possibilistic Cluster Analysis
Partial and Semi-Partial (Part) Correlation
Spatial Analysis of Pakistan Population Census
Diagnosis and Visualizations Tools for Temporal Point Processes
A Glimpse at the Diversity of Peru's Endemic Plants
Generalised Additive Point Process Models
PaleoPhyloGeographic Modeling of Climate Niches and Species
Distributions
Projection Pursuit Based on Gaussian Mixtures and Evolutionary
Algorithms
Lookup Tables to Generate Poverty Likelihoods and Rates using
the Poverty Probability Index (PPI)
Prognostic Predictive Lasso for Biomarker Selection
Read Census Privacy Protected Microdata Files
Privacy-Protecting Hazard Ratio Estimation in Distributed Data
Networks
Copula-Based Estimator for Long-Range Dependent Processes under
Missing Data
Point Process Models with LASSO-Type Penalties
Probabilistic Two Sample Mendelian Randomization
A Collection of Models that Employ Product Partition
Distributions as a Prior on Partitions
Process Performance Qualification (PPQ) Plans in Chemistry,
Manufacturing and Controls (CMC) Statistical Analysis
Analysis of Replication Studies using Power Priors
Design Clinical Trials using Sequential Predictive Probability
Monitoring
Partial Profile Score Feature Selection in High-Dimensional
Generalized Linear Interaction Models
Projection Pursuit Regression Tree Visualization
Projection Pursuit Classification Tree Visualization
web tool for estimating under-five deaths caused by poor-quality
antimalarials in sub-Saharan Africa
A Partitioned Quasi-Likelihood for Distributed Statistical
Inference
Efficient Mixed Model Analysis of Count Data in Large-Scale
Genomic Sequencing Studies
Penalized Quantile Regression with Fixed Effects
'Praat Picture' Style Plots of Acoustic Data
Functions for Clustering and Testing of Presence-Absence,
Abundance and Multilocus Genetic Data
Practical Significance Ranking of Regressors and Exact t Density
Prais-Winsten Estimator for AR(1) Serial Correlation
Pseudo-Value Regression Approach for Network Analysis (PRANA)
Tools for Information-Based Feature Selection and Scoring
Testing Workbench for Precision-Recall Curves
Conduct a Prospective or Retrospective Design Analysis
Embedding and Clustering with Alignment for Spatial Datasets
Precipitation Intensity, Concentration and Anomaly Analysis
Estimate Sample Size Based on Precision Rather than Power
Suite of Functions to Help Get Plot Elements Exactly Where You
Want Them
Accurate Floating Point Sums and Products
Lightweight Precondition, Postcondition, and Sanity Checks
Calculate Accurate Precision-Recall and ROC (Receiver Operator
Characteristics) Curves
Computational Prediction of Proteins Encoded by Circadian Genes
Discrimination Mitigation for Machine Learning Models
Genomic Prediction of Hybrid Performance
Genomic Prediction of Hybrid Performance with Graphical User
Interface
Draw Three Dimensional Predict Plot Using Package 'rgl'
Prediction Interval Functions for Assessing Replication Study
Results
Prediction for Future Data from any Continuous Distribution
Predicted Means for Linear and Semiparametric Models
Evaluate Clinical Prediction Models by Net Monetary Benefit
Out-of-Sample Predictability in Predictive Regressions with Many
Predictor Candidates
Predict the Race and Gender of a Given Name Using Census and
Social Security Administration Data
Assessing Performance of Prediction Models for Predicting
Patient-Level Treatment Benefit
Estimates Reliability of Individual Supervised Learning
Predictions
Prediction Model Validation and Updating
Preparing Data For, and Calculating the Prediction Test
Preference Voting with Explanatory Graphics
R Package for Pairwise Preference Elicitation
2-Stage Preference Trial Design and Analysis
Utilities to Fit Paired Comparison Models for Preferences
Pre-Knitting Processing and Post HTML-Rendering Processing
Dirichlet Process Bayesian Clustering, Profile Regression
Names Given to Babies in Quebec Between 1980 and 2020
Preparing Experimental Data for Statistical Analysis
Basic Functions for Pre-Processing Microarrays
Various Preprocessing Transformations of Numeric Data Matrices
Interactive Document for Preprocessing the Dataset
Utilities for Preparation of Data Analysis
R Markdown Templates to Preregister Scientific Studies
Specify (Pre)Registrations and Export Them Human- And
Machine-Readably
Registry of Victims of State Terrorism in Argentina
Probability-Scale Residuals and Residual Correlations
Indeterminacy of Networks via Press Perturbations
Imports, Processes, and Visualizes Biomechanical Pressure Data
A Novel Approach to Predictive Accuracy Testing in Nested
Environments
'RStudio' Addins to Prettify 'JavaScript', 'C++', 'Python', and
More
Creating Pretty Documents from R Markdown
Pretty Summaries of Generalized Linear Model Coefficients
Scale Bar, North Arrow, and Pretty Margins in R
Pretty, Human Readable Formatting of Quantities
An Implementation of the AHA PREVENT Equations
Geostatistical Modelling of Spatially Referenced Prevalence Data
Estimating Regional Trends of a Prevalence from a DHS and
Similar Surveys
Prevalence to Incidence Calculations for Point-Prevalence
Studies in a Nosocomial Setting
Permutation Significance for Random Forests
Calculating Bilateral and Multilateral Price Indexes
Van Westendorp Price Sensitivity Meter Analysis
Parametric Simplex Method for Sparse Learning
Tools and Methods for Primatological Data Science
Use Prime Factorization for Computations
Projected Refinement for Imputation of Missing Entries in PCA
Study Design for Immunotherapy Clinical Trials
Functions and Data for the Book, a Primer of Ecology with R
Visually Assessing the Specificity and Informativeness of Primer
Pairs
Eigenvalues and Singular Values and Vectors from Large Matrices
Fit a Principal Curve in Arbitrary Dimension
Prediction and Interpretation in Decision Trees for
Classification and Regression
Automatically Print R Objects to Appropriate Formats According
to the 'knitr' Output Format
Candidate Gene Prioritization for Non-Communicable Diseases
Based on Functional Information
Graph Community Detection Methods into Systematic Conservation
Planning
Generates Prior Distributions for Proportions
Systematic Conservation Prioritization in R
Analyzing Multiple Omics Data with an Offset Approach
Prior Diagnostics and Sensitivity Analysis
Access Data from the Oregon State Prism Climate Project
Penalized Regression with Inferred Seasonality Module -
Forecasting Unemployment Initial Claims using 'Google Trends'
Data
Protocol Inspection and State Machine Analysis
Creates a Prisma Diagram using 'DiagrammeR'
Downloads and Parses World Prison Brief Data
Differentially Private Regularized Logistic Regression
Point-Process Response Model for Optogenetics
PRO-CTCAE Scoring, Analysis, and Graphical Tools
Tools for Post-Processing Predicted Values
Probability Theory for Selecting Candidates in Plant Breeding
Sparse High-Dimensional Linear Regression with PROBE
Probit with Spatial Dependence, SAR, SEM and SARAR Models
Computing Logit & Probit Predicted Probabilities & Marginal
Effects
Unsupervised Multivariate Outlier Probabilities for Large
Datasets
Elementary Probability on Finite Sample Spaces
Probabilistic Sampling Design and Strategies
Interactive Document for Working with Basic Probability
Companion Package to Probability and Statistics for Economics
and Business
Inference for the Stress-Strength Model R = P(Y<X)
Extraction of Bands from MODIS Calibrated Radiances MOD02 NRT
Several Methods for Procedural Name Generation
Rule-Based Conformance Checking of Business Process Event Data
Latent Hidden Markov Models for Response Process Data
Product Density Estimation for ICA using Tilted Gaussian Density
Estimates
Product-Limit Estimation for Censored Event History Analysis
Indices of Productivity Using Data Envelopment Analysis (DEA)
Probabilistic Factor Analysis for Spatially-Aware Dimension
Reduction
Compute and Visualize Profile Extrema Functions
Profile R Code and Visualize with 'Pprof'
Read, Manipulate, and Write Profiler Data
Profile Likelihood for a Parameter in Commonly Used Statistical
Models
Profiling Inference Functions for Various Model Classes
Profile Analysis of Multivariate Data in R
Probabilistic Forecast Combination Using CRPS Learning
Downloading and Exploring Data from the PROFOUND Database
An Alternative Display for Profiling Information
Interactive Visualizations for Profiling R Code
Finding the Optimal Cluster Number Using Progeny Clustering
Identification of Prognosis-Related Mutually Exclusive Modules
An Inclusive, Unifying API for Progress Updates
Generic Coordinate System Transformations Using 'PROJ'
A simple interface to the PROJ.4 cartographic projections
library
Management of Deterministic and Stochastic Projects
A Project Infrastructure for Researchers
Automates the Creation of New Statistical Analysis Projects
Task Tracking and Project Management with GitHub
Calculates and Analyzes the Proliferative Index
A User-Friendly Interface for Accessing the Prolific API
Procrustes Matching for Latent Space Item Response Model
Patient-Reported Outcome Data Analysis with Stan
Preference Ranking Organization METHod for Enrichment of
Evaluations
PROMETHEE and GLNF for Ranking and Sorting Problems
Abstractions for Promise-Based Asynchronous Programming
Proteomics Data Analysis and Modeling Tools
Analysis & Measurement of Promotion Effectiveness
Add Tooltips in 'Shiny' Apps with 'Hint.css'
Format and Complete Few-Shot LLM Prompts
Prometheus 'PromQL' Query Client for 'R'
Analyzing Combination of Proportions and Relative Risk
Various Confidence Interval Methods for Proportions
Parse 'Java' Properties Files for 'R Service Bus' Applications
Feature (gene) selection based on the Proportional Overlapping
Scores
Propensity Score Methods for Assigning Treatment in Randomized
Trials
'ProPublica' U.S. Congress Bills API Wrapper
Patient Reported Outcomes Regression Analysis
Functions to Score Commonly-Used Patient-Reported Outcome (PRO)
Measures and Other Psychometric Instruments
Tools to Score Patient-Reported Outcome (PRO) and Other
Psychometric Measures
Penalized Regression with Second-Generation P-Values
Miscellaneous Functions for Processing and Sample Selection of
Spectroscopic Data
Search Tagged Peptides & Draw Highlighted Mass Spectra
Perform Analysis and Create Visualizations of Proteins
Bayesian Statistical Tools for Quantitative Proteomics
Calculates the Percentage CV for Mass Spectrometry-Based
Proteomics Data
Multiform Seq2Seq Model for Time-Feature Analysis
Protein Feature Extraction from Profile Hidden Markov Models
Highly Optimized Protocol Buffer Serializers
Interactive Dendrograms for Visualizing Hierarchical Clusters
with Prototypes
Inference on Prototypes from Clusters of Features
Generating Various Numerical Representation Schemes for Protein
Sequences
Manipulate and Play 'ProTracker' Modules
Bottom-Up Proteomics and LiP-MS Quality Control and Data
Analysis Tools
Visualizing and Analyzing Mass Spectrometry Related Data in
Proteomics
Tools for Natural Language Processing in French
Statistical Toolbox for Sedimentary Provenance Analysis
Compare Provenance Collections to Explain Changed Script Outputs
Creates Adjacency Matrices for Lineage Searches
Summarizes Provenance Related to Inputs and Outputs of a Script
or Console Commands
Uses Provenance to Trace File Lineage for One or more R Scripts
Alpha and Beta Proximity to Irreplaceability
Computes Proximity in Large Sparse Matrices
Minimal Protein Set Explaining Peptide Spectrum Matches
Bayesian Prior and Posterior Predictive Replication Assessment
Precision-Recall and ROC Curves for Weighted and Unweighted Data
Stochastic Simulation of Streamflow Time Series using Phase
Randomization
Test of Periodicity using Response Surface Regression
Tabular Data Backed by Partitioned 'fst' Files
Datasets and Functions Used in the Book 'Przewodnik po Pakiecie
R'
List, Query, Manipulate System Processes
Bootstrapping for Propensity Score Analysis
'Pushshift' API Wrapper for 'Reddit' Submission and Comment
Search
Bayesian Information Borrowing with Propensity Score Matching
Penalized Parametric and Semiparametric Bayesian Survival Models
with Shrinkage and Grouping Priors
Penalized Semiparametric Bayesian Cox Models
Bayesian Dynamic Borrowing with Propensity Score
Bayesian Dynamic Borrowing Analysis and Simulation
Analysis of Parent-Specific DNA Copy Numbers
Standardizing Physiological Composite Risk Endpoints
Estimation for the Power Series Cure Rate Model
Adaptive, Sine-Multitaper Power Spectral Density and Cross
Spectrum Estimation
Download Regularly Maintained Political Science Data Sets
Distributions Derived from Normal Distribution
Use Time Series to Generate and Compare Power Spectral Density
Generate Pseudohouseholds on Road Networks in Regions
Methods for Evaluating Principal Surrogates of Treatment
Response
Forecasting of Univariate Time Series Using the Pattern
Sequence-Based Forecasting (PSF) Algorithm
Prediction Model Pooling, Selection and Performance Evaluation
Across Multiply Imputed Datasets
Modified Lilliefors Goodness-of-Fit Normality Test
Projected Spatial Gaussian Process Methods
Decision Tree Analysis for Probabilistic Subgroup Identification
with Multiple Treatments
Build Panel Data Sets from PSID Raw Data
Streamline Building Panel Data from Panel Study of Income
Dynamics ('PSID') Raw Files
Preference Selection Index Method (PSIM)
Independence Tests for Two-Way, Three-Way and Four-Way
Contingency Tables
Inference for Released Plug-in Sampling Single Synthetic Dataset
Pakistan Social and Living Standards Measurement Survey 2014-15
Evaluate Partitioned Survival and State Transition Models
Performance Spectrum Miner for Event Data
Parameter Space Partitioning MCMC for Global Model Evaluation
Spatial and Spatio-Temporal Semiparametric Regression Models
with Spatial Lags
Analysis of Physiologically Structured Population Models
Power and Sample Size for Health Researchers via Shiny
Test of Independence & Image Structural Similarity Measure PSSIM
Features Extracted from Position Specific Scoring Matrix (PSSM)
Flexible and Efficient Evaluation of Principal
Surrogates/Treatment Effect Modifiers
Flexible Identification of Phenotype-Specific Subpathways
Probabilistic Suffix Trees and Variable Length Markov Chains
Specification Tests for Parametric Propensity Score Models
Eigendecomposition, Singular-Values and the Power Method
Unified Principal Sufficient Dimension Reduction Package
Propensity Score Weighting Methods for Dichotomous Treatments
Propensity Score Weighting for Causal Inference with
Observational Studies and Randomized Trials
Various Procedures Used in Psychometrics
Data Cleaning for Psychological Analyses
Procedures for Psychological, Psychometric, and Personality
Research
Efficient and Publishing-Oriented Workflow for Psychological
Science
Structural Equation Modeling and Confirmatory Network Analysis
Recursive Partitioning Based on Psychometric Models
Psychrometric Properties of Moist and Dry Air
Tools to Accompany the 'psych' Package for Psychological
Research
Word Embedding Research Framework for Psychological Science
Integrated Toolkit for Psychological Analysis and Modeling in R
Open Datasets from Meta-Analyses in Psychology Research
Helper Tools for Teaching Statistical Data Analysis
Functions for Analyzing Psychophysical Data in R
Decentralized Unequivocality in Psychological Science
Generation of Perturbation Tables for the Cell-Key Method
PTE and RP for Optimally-Transformed Surrogate
Permutations of Treatment Labels and TITAN2 Analysis
Analyses of Protein Post-Translational Modifications
Poisson-Tweedie Generalized Linear Mixed Model
Helper Functions for Use with "ProjectTemplate"
Access the 'Public Transport Victoria' Timetable API
Percentile Estimation of Fetal Weight for Twins by Chorionicity
Quality Report Generation for MaxQuant and mzTab Results
Bayesian Variable Selection with Hierarchical Priors
Interface to the 'PubChem' Database for Chemical Data Retrieval
A Toolbox for Public Health and Epidemiology
Helper Files for the CTN-0094 Relational Database
Sensitivity Analysis for Publication Bias in Meta-Analyses
Soil Defense Investments in Italy: Data Retrieval, Analysis,
Visualization
Bayesian Meta-Analysis with Publications Bias and P-Hacking
Format Output of Various Routines in a Suitable Way for Reports
and Publication
Gathering Metadata About Publications, Grants, Clinical Trials
from 'PubMed' Database
Create and Query a Local 'PubTator' Database
Parsimonious Ultrametric Gaussian Mixture Models
High-Dimensional Variable Selection with Presence-Only Data
Parallel Utilities for Lambda Selection along a Regularization
Path
Meta-Analysis Methods Correcting for Publication Bias
Parameter Estimation, and Plot Visualization of Adsorption
Kinetic Models
A Unified Pipeline for Pupillometry Data
Image-Based Identification of Color Based on Rayner (1970)
Terminology and Known Fungal Pigments
Moisture Sorption Isotherm Modeling Program
Pubmed Unified REtrieval for Multi-Output Exploration
Inbreeding-Purging Estimation in Pedigreed Populations
Simple Method for Purging Mediation Effects among Independent
Variables
Query the 'PurpleAir' Application Programming Interface
Tools at the Intersection of 'purrr' and 'dplyr'
Send Push Notifications using 'Pushover'
Assembling Data Sets for Non-Linear Mixed Effects Modeling
Population Viability Analysis with Data Cloning
Creates and Plots P-Value Functions, S-Value Functions,
Confidence Distributions and Confidence Densities
Calculation and Application of p-Variation
Hierarchical Clustering with P-Values via Multiscale Bootstrap
Resampling
Simplifies the Analysis of Pressure Volume and Leaf Drying
Curves
Likelihood Ratio Test-Based Approaches to Pharmacovigilance
Phylogenetic Eigenvectors Regression and Phylogentic
Signal-Representation Curve
Reading, Quality Control and Preprocessing of MBA (Multiplex
Bead Assay) Data
Design and Monitoring of Survival Trials Accounting for Complex
Situations
PSO Based Weighted Ensemble Algorithm for Volatility Modelling
Piecewise Exponential Distribution Prediction Model
Provides a Function to Calculate Prize Winner Indices Based on
Bibliometric Data
PWIGLS for Two-Level Multivariate and Multilevel Linear Models
Power and Sample Size Analysis for One-way and Two-way ANOVA
Models
Power Analyses for Common Designs (Power to the People)
Statistical Power Simulation for Testing the Rasch Model
Statistical Power and Sample Size Calculation Tools
Penn World Table (Versions 5.6, 6.x, 7.x)
Pena-Yohai Initial Estimator for Robust S-Regression
Lint 'Python' Files with a R Command or a 'RStudio' Addin
Provides a 'PySpark' Back-End for the 'sparklyr' Package
Interpolating Age-Specific Mortality Rates at All Ages
Types and Features for Object Oriented Programming
Functions to Facilitate Exploratory Data Analysis
Automatic Item Generator for Quantitative Multiple-Choice Items
Heuristics for the Quadratic Assignment Problem (QAP)
Approximation to the Survival Functions of Quadratic Forms of
Gaussian Variables
Quantile Regression for Binary Longitudinal Data
Tools for the Analysis of Clustered Data in QCA
Estimate Power and Required Sample Size in QCA
Advanced Functionality for Performing and Evaluating Qualitative
Comparative Analysis
Postprocessing of Rule Classification Models Learnt on Quantized
Data
Quality Control Charts under Repetitive Sampling
Fast and Easy Quality Control of EWAS Results Files
Quality Control of Genome Wide Association Study Results
Sure Independence Screening via Quantile Correlation and
Composite Quantile Correlation
Bridging the Gap Between Qualitative Data and Quantitative
Analysis
Dictionaries and Word Lists for the 'qdap' Package
Regular Expression Removal, Extraction, and Replacement Tools
Modern Nonparametric Tools for Two-Sample Quantile and
Distribution Comparisons
Fitting a Quadrilateral Dissimilarity Model to Same-Different
Judgments
Density, Cumulative and Quantile Functions of Quadratic Forms
Quantile-Frequency Analysis (QFA) of Time Series
Quantitative Fatty Acid Signature Analysis
Quantitative Fatty Acid Signature Analysis in R
Moments and Distributions of Ratios of Quadratic Forms Using
Recursion
Pricing of Vanilla and Exotic Option Contracts
Smooth Additive Quantile Regression Models
Quantile G-Computation Extensions for Effect Measure
Modification
Statistical Tools for Quantitative Genetic Analyses
Estimate Quantitative Genetics Parameters from Generalised
Linear Mixed Models
Graph Plotting Methods, Psychometric Data Visualization and
Graphical Model Estimation
A 'shiny' Application for Active Learning Instruction in
Introductory Quantitative Genetics
Construct Nomograms for Competing Risks Regression Models
Quantity-Intensity Relationship of Soil Potassium
Continuous and Dichotomized Index Predictors Based on
Distribution Quantiles
Q-Kernel-Based and Conditionally Negative Definite Kernel-Based
Machine Learning Tools
R Bindings to the Calendaring Functionality of 'QuantLib'
Processing Data for Quantitative Language Comparison
Utility Sparse Matrix Functions for Quantitative Language
Comparison
Visualization for Quantitative Language Comparison
Reinforcement Learning using the Q Learning Algorithm
Managing and Building of Quarterly Life Tables
Statistical Transformations for Post-Processing Climate Model
Output
Analysis of Subjective Perspectives Using Q Methodology
Methods for Quantitative Magnetic Resonance Imaging ('qMRI')
Scales Score Calculation from Quality of Life Data
Modelling and Analysis of Real-Time PCR Data
Interface to the 'qpmad' Quadratic Programming Solver
Noncompartmental Pharmacokinetic Analysis by qPharmetra
Creates Simultaneous Testing Bands for QQ-Plots
Quantile-Quantile Plot Extensions for 'ggplot2'
Self Calibrating Quantile-Quantile Plots for Visual Testing
Quantal Response Analysis for Dose-Mortality Data
A 'Shiny' Gadget for Interactive 'QRA' Visualizations
A Novel Quantile Regression Approach for eQTL Discovery
Nonlinear and Penalized Quantile Regression Coefficients
Modeling
Block Bootstrap Methods for Quantile Regression in Time Series
Quantile Regression in Varying-Coefficient Models
Quick Response Code (QR Code) / Matrix Barcode Creator
Quantile Regression Model for Residual Lifetime Using an Induced
Smoothing Approach
10-Year Cardiovascular Disease Risk Calculator (QRISK3 2017)
Joint Estimation in Linear Quantile Regression
Generate Machine- And Human-Readable Plot Labels for Experiments
Quantile Regression for Linear Mixed-Effects Models
Provides R-Language Code to Examine Quantitative Risk Management
Concepts
Data Sets for Quantitative Risk Management Practice
Quantile Regression for Nonlinear Mixed-Effects Models
Quantitative Structure Activity Relationship (QSAR) Data Sets
Implementations of Various Slice Samplers
Running Commands Remotely on 'Gridengine' Clusters
Quantile Treatment Effects under the Regression Discontinuity
Design
QTL Genome-Wide Composite Interval Mapping
QTL Genome-Wide Composite Interval Mapping with Graphical User
Interface
Quantitative Trait Locus Mapping in Experimental Crosses
Database Storage of Genotype Probabilities for QTL Mapping
Testing Pleiotropy in Multiparental Populations
Densitometric Analysis of Thin-Layer Chromatography Plates
Interactive Graphics for QTL Experiments
Design of QTL (Quantitative Trait Locus) Experiments
Random-Effect Multiple QTL Mapping in Autopolyploids
Tools for Mapping of Quantitative Traits of Genetically Related
Individuals and Calculating Identity Coefficients from
Pedigrees
Quantile-Optimal Treatment Regimes with Censored Data
'Quarto' Website Templates for Academics
Cleanup and Visualization of Quadrat Data
Functions to Solve Quadratic Programming Problems
Quadratic Programming with Absolute Value Constraints
Visualizing the SD using a Quadratic Curve
Collection of Methods Constructed using Kernel-Based Quadratic
Distances
Quadratic Root for any Quadratic Equation
Sparsity by Worst-Case Quadratic Penalties
Unified Framework for Data Quality Control
Opinionated Approach for Digitizing Semi-Structured Qualitative
GIS Data
Automatic Generation of Qualitative Color Palettes
Implements Indices of Qualitative Variation Proposed by Wilcox
(1973)
Partitioning Uncertainty Components of an Incomplete Ensemble of
Climate Projections
Calculates Bond Values and Interest Rate Curves for Finance
Dimension Reduction Techniques for Conditional Quantiles
Scaling Models and Classifiers for Textual Data
Plots for the Quantitative Analysis of Textual Data
Textual Statistics for the Quantitative Analysis of Textual Data
Quantification of Qualitative Survey Data
Quantile Least Mahalanobis Distance Estimator for Tukey g-&-h
Mixture
Nonparametric Confidence Intervals for Quantiles
Quantile Kriging for Stochastic Simulations with Replication
Mitigating the Adverse Impact of Batch Effects in Sample Pattern
Detection
Algorithms for Quantile- And Mean-Optimal Treatment Regimes
Adaptively Weighted Group Lasso for Semiparametric Quantile
Regression Models
Non-Crossing Additive Regression Quantiles and Non-Parametric
Growth Charts
Quantile Regression Forests for 'ranger'
Quantile-Based Spectral Analysis of Time Series
Performs Common Linear Algebra Operations Used in Quantum
Computing and Implements Quantum Algorithms
Simple Methods for Calculating and Backtesting Value at Risk and
Expected Shortfall
Interaction Prediction Between Groundwater and Quarry Extension
Using Discrete Choice Models and Artificial Neural Networks
Comparison of Phylogenetic Trees Using Quartet and Split
Measures
R Interface to 'Quarto' Markdown Publishing System
Estimation of Natural Regeneration Potential
Programmatic Way to Construct Complex Filtering Queries
Translate 'SQL' Queries into 'R' Expressions
Functions to Make Surveys Processing Easier
Constructing Quantitative Environment Sensor using
Transcriptomes
Analysis of Queueing Networks and Models
Quick and Essential 'R' Tricks for Better Scripts
Interface for the 'QuickJS' Lightweight 'JavaScript' Engine
A System of Plotting Optimized for Speed and Modularity
Fits Psychometric Functions for Multiple Groups
Quickly construct and rating large binary pairwiesd comparisons
Build Regression Models Quickly and Display the Results Using
'ggplot2'
Analyze Data for Fluorophore-Assisted Seed Amplification Assays
Bayesian Mixed Models for Qualitative Individual Differences
QUick IDentification of DIagnostic CHaracters
Visualising How Nonlinear Dimension Reduction Warps Your Data
Get 'Quora' Ads Data via the 'Windsor.ai' API
A Way of Writing Functions that Quote their Arguments
Robust and User-Friendly Analysis of Growth and Fluorescence
Curves
The Q-Matrix Validation Methods Framework
Quasi Variances for Factor Effects in Statistical Models
Quantum Computing for Analyzing CD4 Lymphocytes and
Antiretroviral Therapy
Handle Continuous-Time Quantum Walks with R
Quantum Walk-Based Data Analysis and Prediction
Generalized Eigenvalues and QZ Decomposition
Bayesian Network Learning Improved Project
Fast and Light-Weight Caching (Memoization) of Objects and
Results to Speed Up Computations
Easy Handling of and Access to Files Organized in Structured
Directories
Methods for Accessing Huge Amounts of Data [deprecated]
Perform JIVE Decomposition for Multi-Source Data
Read and Write MAT Files and Call MATLAB from Within R
R Object-Oriented Programming with or without References
Dynamic Generation of Scientific Reports
Estimation of R0 and Real-Time Reproduction Number from
Epidemics
Compressive Sampling: Sparse Signal Recovery Utilities
R2 Measure of Explained Variation under the Additive Hazards
Model
Estimate Structured Additive Regression Models with 'BayesX'
Multistage Sampling Allocation and Sample Selection
Country Data with Names, Capitals, Currencies, Populations,
Time, Languages and so on
Bivariate (Two-Dimensional) Confidence Region and Frequency
Distribution
A Mini-Dictionary for 'R', 'Shiny' and 'Rmarkdown' Documents
Measure Climate Scenario Alignment of Corporate Loans
Datasets to Measure the Alignment of Corporate Loan Books with
Climate Goals
Tools to Match Corporate Lending Portfolios with Climate Data
Visualize the Climate Scenario Alignment of a Financial
Portfolio
Translation of Base R-Like Functions for 'data.table' Objects
Enhance Your 'Rmarkdown' and 'shiny' Apps with Dazzling
Fireworks Celebrations
Computes R Squared for Mixed (Multilevel) Models
R-Squared Measures for Multilevel Models
Simple R Interface to Microsoft PowerPoint using RDCOMClient
In-Text Resize for Images, Tables and Fancy Resize Containers in
'shiny', 'rmarkdown' and 'quarto' Documents
Easily Create Production-Ready Rich Text Format (RTF) Table and
Figure
Various Methods for the Two Sample Problem
Shorten Function Names of Functions in Another Package and
Create an Index to Make Them Accessible
Seamless Integration of Sharing and Connect Buttons in Markdown
and Apps
Wrapper for 'SUNDIALS' Solving ODE and Sensitivity Problem
Symbols for 'Markdown' and 'Shiny' Application
Goodness-of-Fit Tests for Capture-Recapture Models
Running 'WinBUGS' and 'OpenBUGS' from 'R' / 'S-PLUS'
Create Interactive 3D Visualizations of Molecular Data
'WebGL'-Based 3D Plotting using the 'three.js' Library
Simulating Forest Growth using the 3-PG Model
Report Functions to Create HTML and PDF Files
Statistical Inference on Lineup Fairness
Encapsulated Classes with Reference Semantics
R6 Reference Class Based Data Structures
R6-Based Statistical Methods for Quality Science
Reference Analysis for Bayesian Meta-Analysis
Generate Codes to Uniquely and Robustly Identify Individuals for
Animal Behavior Studies
Simulations for Response Adaptive Block Randomization Design
Identification of Cell Types, Inference of Lineage Trees, and
Prediction of Noise Dynamics from Single-Cell RNA-Seq Data
Pattern-Based Zoneless Method for Analysis and Visualization of
Racial Topography
Rapid A/Ci Response (RACiR) Data Analysis
Loading Data from 'ActiveCampaign API v3'
Statistical Analysis and Cut-Point Determination of Immunoassays
Nuclear Decay Data for Dosimetric Calculations - ICRP 107
Interactive Gadgets for Radial Visualization Approaches
Basics Menu for Radiant: Business Analytics using R and Shiny
Data Menu for Radiant: Business Analytics using R and Shiny
Design Menu for Radiant: Business Analytics using R and Shiny
Model Menu for Radiant: Business Analytics using R and Shiny
Multivariate Menu for Radiant: Business Analytics using R and
Shiny
Tools for Plotting Skew-T Diagrams and Wind Profiles
Inverse-Regression Estimation of Radioactive Doses
Query Random User Data from the Random User Generator API
Optimize the De Novo Stacks Pipeline via R
Project Multidimensional Data in 2D Space
Analytic Element Modeling of Steady Single-Layer Groundwater
Flow
Convenience Functions for Routine Data Exploration
Ranking of Alternatives with the RAFSI Method
Life History Metrics from Matrix Population Models
A Wrapper of the 'JavaScript' Library 'agGrid'
Ridge Estimation of Precision Matrices from High-Dimensional
Data
Pricing Equity Derivatives with Extensions of Black-Scholes
Bagplots, Boxplots and Rainbow Plots for Functional Data
Genome-Wide Association Study with SNP-Set Methods
The Reinert Method for Textual Data Clustering
Stochastic Precipitation Downscaling with the RainFARM Method
Efficient Wrapper for the 'Airtable' API
Robust Angle Based Joint and Individual Variation Explained
Easy Spatial Microsimulation (Raking) in R
Analysis and Identification of Raman Spectra of Microplastics
Interface to the JavaScript Library 'amCharts 4'
Revealed Preference and Attention Analysis in Random Limited
Attention Models
Mass Spectrometry Metabolomics Feature Clustering and
Interpretation
Download and Read RAM Legacy Stock Assessment Database
Regularized Generalized Linear Models with Interaction Effects
Structural Equation Modeling Using the Reticular Action Model
(RAM) Notation
Bayesian Geostatistical Modeling with RAMPS
Reinforced Angle-Based Multicategory Support Vector Machines
Covariate Balance Checks: Randomization Tests and Graphical
Diagnostics
Generate a Random p x p Correlation Matrix
Efficient Numerical Algorithm for Exact Inference in Meta
Analysis
Random Network Model Estimation, Selection and Parameter Tuning
A Parallel Analysis with Polychoric Correlation Matrices
Breiman and Cutlers Random Forests for Classification and
Regression
Explaining and Visualizing Random Forests in Terms of Variable
Importance
Fast Unified Random Forests for Survival, Regression, and
Classification (RF-SRC)
Tune Random Forests Based on Variable Importance & Plot Results
Create a Random List for Crossover Studies
Easy-to-Use Tools for Common Forms of Random Assignment and
Sampling
An Ensemble Modeling using Random Machines
Two-Sample Test in High Dimensions using Random Projection
Random Uniform Forests for Classification, Regression and
Unsupervised Learning
Filtering and Randomly Sampling Real User-Agent Strings
Generate Random Walks Compatible with the 'tidyverse'
Get Random Quotes from Quotes on Design API
Toolbox for Pseudo and Quasi Random Number Generation and Random
Generator Tests
Reconstructing Reproducible R Computational Environments
Occurrence Filtering, Geographic Standardization and Generation
of Species Range Polygons
A Platform for the Study of Macro-Ecology of Life History Traits
Provides Templates for Metadata Files Associated with Species
Range Models
Customisable Ranking of Numerical and Categorical Data
Aggregation of (Partial) Ordinal Rankings
Polynomially Bounded Rank Aggregation under Kemeny's Axiomatic
Approach
Model-Based Clustering for Multivariate Partial Ranking Data
Total, Between-, and Within-Cluster Spearman Rank Correlations
for Clustered Data
Rank-Based Tests for General Factorial Designs
Rank Intraclass Correlation for Clustered Data
The Ranking Project: Visualizations for Comparing Populations
Convenient Plotting for the Modified Rankin Scale and Other
Ordinal Outcome Data
Rank of Variables Based on Principal Component Analysis for
Mixed Data Types
Joint Statistical Models for Preference Learning with Rankings
and Ratings
Ranking Responses in a Single Response Question or a Multiple
Response Question
Ranking of Nodes with Kernelized Score Functions
Ensemble Models of Rank-Based Trees with Extracted Decision
Rules
Fast Nearest Neighbour Search (Wraps ANN Library) Using L2
Metric
Interface for Multiple Data Providers 'EDDS' and 'FRED'
Generates 'RapiDoc' Documentation from an 'OpenAPI'
Specification
A Fast and Light Package to Compute Polygenic Risk Scores
Rapidly Estimates Phylogeny from Large Allele Frequency Data
Using Root Distances Method
Rapid Automatic Keyword Extraction (RAKE) Algorithm
Bindings to AppArmor and Security Related Linux Tools
Application Directories: Determine Where to Save Data, Caches,
and Logs
Miscellaneous (Stats) Helper Functions with Sane Defaults for
Reporting
Representative and Adequate Prioritization Toolkit in R
Interface to the US EPA Air Quality System (AQS) API
A Simple Interface to the US EPA Air Quality System Data Mart
API
Estimate the Water Influx into Hydrocarbon Reservoirs
Linear Model with Tree-Based Lasso Regularization for Rare
Features
Combinatorial and Statistical Analyses of Rare Events
Ecological and Biogeographical Null Model Tests for Comparing
Rarefaction Curves
Response Adaptive Randomization with 'Frequentist' Approaches
Calculation of Rarity Indices for Species and Assemblages of
Species
Solvers for Large Scale Eigenvalue and SVD Problems
Response-Adaptive Randomization in Clinical Trials
Random Subspace Ensemble Classification and Variable Screening
Access Forest Ecology Layers for British Columbia in 2001-2018
Diversity Indices for Numerical Matrices
Kernel Based Estimates on in-Memory Raster Images
A Raster Where Cells are Generic Objects
Convert Digital Images into 'SpatRaster' Objects
Bayesian Estimation of the Evolutionary Rate Matrix
Statistical Models of Repeated Categorical Rating Data
A Modification of Fleiss' Kappa in Case of Nominal and Ordinal
Variables
Confidence Intervals for Comparisons of Binomial or Poisson
Rates
Connect to 'AWS Athena' using 'Boto3' ('DBI' Interface)
Rationalizing Rational Expectations. Tests and Deviations
Exact Matrix Algebra for Rational Matrices
Fractions of Multivariate Polynomials with Rational Coefficients
Calculating Ratios Between Two Data Sets and Correction for
Adhering Particles on Plants
ATLAS Formatting Functions and Templates
Graphical User Interface for Data Science in R
Rare Variant Analysis and Genetic Simulations
An R Interface for Raven DataFrames (Beta0)
Raven Hydrological Modelling Framework R Support and Analysis
Parameter Estimation for the Averaging Model of Information
Integration Theory
Signal and Image Processing Toolbox for Analyzing Intracranial
Electroencephalography Data
Raw Data Quality Control Tool for LC-MS System
Easily Get True-Positive Rate and False-Positive Rate and KS
Statistic
Parse and Render Molecular Structures in 3D
Create Maps and Visualize Data in 2D and 3D
Age-Depth Modelling using Bayesian Statistics
Assortative Mating Simulation and Multivariate Bernoulli
Variates
A Bias Bound Approach to Non-Parametric Inference
R Interface to Brazilian Central Bank Web Services
Extraction and Analysis of Data from the Bitcoin Cash (BCH)
Blockchain
Implementation of BDAT Tree Taper Fortran Functions
Estimation and Additional Tools for Quantile Generalized Beta
Regression Model
Bayesian Change-Point Detection and Time Series Decomposition
Analysis and Manipulation of Data from Minecraft Bedrock Edition
The Beta Random Number and Dirichlet Random Vector Generating
Functions
Tools for 'Box Geometry Model' (BGM) Files and Topology for the
Atlantis Ecosystem Model
Correct Bias in DNA Methylation Analyses
Read 'Bibtex' Files and Convert Between Bibliography Formats
Inference and Prediction of ToxicoKinetic (TK) Models
User-Friendly R Interface to Biologic Web Services' API
Read/Write, Transform, and Summarize 'BIOM' Data
Handling Linear Gaussian Bayesian Networks
Download Data from the Reserve Bank of New Zealand Website
Extensible, Parallelizable Implementation of the Random Forest
Algorithm
Perform Rosenbaum Bounds Sensitivity Tests for Matched and
Unmatched Data
Regression-Based Approach for Testing the Type of Missing Data
Alternative Bootstrap-Based t-Test Aiming to Reduce Type-I Error
for Non-Negative, Zero-Inflated Data
Residual Balancing Weights for Marginal Structural Models
Calculation of the Integrated Flow of Particles Between Polygons
Cancer Registry Data Analysis and Visualisation
Loglinear Models for Capture-Recapture Experiments
Dose Rate Modelling of Carbonate-Rich Samples
Calibration and Analysis of Radiocarbon Dates
Calculation of 22 Canonical Time-Series Characteristics
A General Causal Inference Framework by Encoding Generative
Modeling
Large, Sparse Optimal Matching with Refined Covariate Balance
Estimate Rogers-Castro Migration Age Schedules with Bayesian
Models
Random Coefficient Binary Response Estimation
Optimal Subset Matching with Refined Covariate Balance
Parametric Bootstrapping to Control Rank Conditional Coverage
Class Cover Catch Digraph Classification
Safely Manage API Keys and Load Data from a REDCap or Other
Source
"Retained Component Criterion for Principal Component Analysis"
Robust and Conditional Data Envelopment Analysis (DEA)
Fast 2D Constrained Delaunay Triangulation
R Cross Entropy Inspired Method for Optimization
"Cereal Headers for R and C++ Serialization"
Analytical Procedures in Support of Brazilian Public Sector
External Auditing
Download and Open Data Provided by the Copernicus Global Land
Service
Dimension Reduction, Regression and Discrimination for
Chemometrics
Data on Base and Recommended Packages for Current and Previous
Versions of R
Locating Distributional Changes in Highly Dependent Time Series
Analyzing and Interactive Visualization of Archival Tagging Data
Discrete Choice (Binary, Poisson and Ordered) Models with Random
Parameters
Post-Processing of the Markov Chain Simulated by ChronoModel or
Oxcal
Plot Jacobson-Truax Reliable Change Indices
Manipulate Matrix Row and Column Labels with Ease
'Yandex Clickhouse' Interface for R with Basic 'dplyr' Support
Graphical Toolbox for Clustering and Classification of Data
Frames
Run 'R CMD check' from 'R' and Capture Results
R Commander Plug-in for Repeated-Measures ANOVA
R Commander Plug-in for Case 1 Best-Worst Scaling
R Commander Plug-in for Case 2 Best-Worst Scaling
R Commander Plug-in for Case 3 Best-Worst Scaling
R Commander Plug-in for Complex Pearson Distributions
R Commander Plug-in for Dichotomous Choice Contingent Valuation
R Commander Plug-in for Discrete Choice Experiments
R Commander Plugin for (Industrial) Design of Experiments
Plugin de R-Commander para el Manual 'EACSPIR'
Rcmdr Evidence Based Medicine Plug-in Package
R Commander Plug-in for the EZR (Easy R) Package
R Commander Plug-in for Fitting Generalized Waring Regression
Models
R Commander Plug-in for Data Visualization with 'ggplot2'
Graphical User Interface for Conducting Meta-Analyses in R
R Commander Plug-in for University Level Applied Statistics
R Commander Plug-in for Robust Principal Component Analysis
R Commander Plug-in for Risk Demonstration
Rcmdr Receiver Operator Characteristic Plug-in Package
R Commander Plug-in for the 'survival' Package
R Commander Plugin for Teaching Statistical Methods
Graphical Integrated Text Mining Solution
R Commander Plug-in for the 'WorldFlora' Package
Random Coefficient Minification Time Series Models
Detect Copy Number Variants from SNPs Data
Lightweight Data Structure for Recoding Categorical Data without
Factors
A Simplified Interface for 'Amazon Cognito'
Collection of Data Sets Containing ADHD Related Data
Utilities for using the 'COM(P)ADRE' Matrix Model Database
Functions to Support Extension Education Program Evaluation
Create a Package or Research Compendium Structure
Manage R Configuration at the Command Line
Individual-Based Forest Growth Simulator 'TROLL'
A Collection of Small Text Corpora of Interesting Data
Data and Functions for R Companion to Political Analysis 3rd Ed
High Performance Tools for Combinatorics and Computational
Mathematics
'Rcpp' Bindings for 'Annoy', a Library for Approximate Nearest
Neighbors
'Rcpp' Interface to the APT Package Manager
'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra
Library
'Rcpp' Bindings for the Boost Date_Time Library
Factor Big Integers with the Parallel Quadratic Sieve
'Rcpp' Integration for the 'Blaze' High-Performance 'C++' Math
Library
Spatial Estimation and Prediction for Censored/Missing Responses
Examples using 'RcppClassic' to Interface R and C++
Read-Write Support for 'NumPy' Files via 'Rcpp'
Color Mappings and 'C++' Header Files for Color Conversion
'Rcpp' Bindings for the 'Corpus Workbench' ('CWB')
'date' C++ Header Library for Date and Time Functionality
Global Optimization by Differential Evolution in C++
'Rcpp' Integration of Additional Probability Distributions
'Rcpp' Integration for the 'Eigen' Templated Linear Algebra
Library
Header-Only C++ Mathematical Optimization Library for
'Armadillo'
Examples using 'Rcpp' to Interface R and C++
Interface to the Google 'FarmHash' Family of Hash Functions
'Rcpp' Bindings to 'FastAD' Auto-Differentiation
'Rcpp' Bindings for the 'fast_float' Header-Only Library for
Number Parsing
'Rcpp' Interface for Querying System Configuration Variables
'Rcpp' Integration for 'GNU GSL' Vectors and Matrices
'Rcpp' Bindings for 'hnswlib', a Library for Approximate Nearest
Neighbors
Solves Minimum Cost Bipartite Matching Problems
'Rcpp'-Based Helper Functions to Pass 'Int64' and 'nanotime'
Values Between 'R' and 'C++'
'L-BFGS' Algorithm Based on 'Blaze' for 'R' and 'Rcpp'
'Rcpp' Bindings to 'Magic Enum' 'C++' 'Enum' Support
'MsgPack' C++ Header Files and Interface Functions for R
'Rcpp' Package Illustrating Header-Only Access to 'NLopt'
'Rcpp' Integration for Numerical Computing Libraries
An Interruptible Progress Bar with OpenMP Support for C++ in R
Packages
'Rcpp' Bindings for 'Redis' using the 'hiredis' Library
'Rcpp' Bindings for the 'simdjson' Header-Only Library for
'JSON' Parsing
Rcpp Bindings for Sequential Monte Carlo
R and C++ Interfaces to 'spdlog' C++ Header Library for Logging
'Rcpp' Integration of the 'Streamulus' 'DSEL' for Stream
Processing
'Rcpp' Tic-Toc Timer with 'OpenMP' Support
Rcpp-Based Truncated Normal Distribution RNG and Family
'Rcpp' Bindings to Parser for "Tom's Obvious Markup Language"
'Rcpp' Integration of Different "Ziggurat" Normal RNG
Implementations
Extraction and Management of Clinical Practice Research Datalink
Data
Correct Bias in Estimated Regression Coefficients
An Implementation of Crime Analysis Methods
An Integrated Regression Model for Normalizing 'NanoString
nCounter' Data
R Interface to the CSDP Semidefinite Programming Library
Airborne LiDAR Filtering Method Based on Cloth Simulation
Visualization of Restricted Cubic Splines
Styling of Graphics using Cascading Style Sheets
Assign Treatments, Power Calculations, Balances, Impact
Evaluation of Experiments
Designing and Analyzing Two-Stage Randomized Experiments
Predict Fish Year-Class Strength from Survey Data
Validation of Estimates of Treatment Effects in Observational
Data
Clustering Time Series While Resisting Outliers
Simulations and Visualizations of Rubik's Cube (with Mods)
General Network (HTTP/FTP/...) Client Interface for R
Concentration-Response Data Analysis using Curvep
Interactive Networks, Timelines, Barplots, Galleries with
'D3.js'
Shrunken Centroids Regularized Discriminant Analysis
Hierarchical and Variation Partitioning for Canonical Analysis
R Client for the Daisi Microservice Platform
Functions to Interact with the 'FAIR Data Pipeline'
Manipulation Testing Based on Density Discontinuity
Toolbox for Regression Discontinuity Design ('RDD')
Robust Data Envelopment Analysis (DEA) for R
Decision Analytic Modelling in Health Economics
Descent-Based Calibrated Optimal Direct Estimation
Identify External Packages Used in a Project
Tools to Manipulate and Query Semantic Data
An Implementation of the 'DoubleClick for Publishers' API
Honest Inference in Regression Discontinuity Designs
API Client and Dataset Management for the Demographic and Health
Survey (DHS) Data
A Collection of Functions to Experiment Dice Rolls
R Interface to the 'DieHarder' RNG Test Suite
Dimension Reduction and Estimation Methods
Distance-Sampling Analyses for Density and Abundance Estimation
Measurement and Partitioning of Similarity-Sensitive
Biodiversity
Local Randomization Methods for RD Designs
Quantify Dependence using Rearranged Dependence Measures
Importing Real-Time Thermo Cycler (qPCR) Data from RDML Format
Files
Analysis of RD Designs with Multiple Cutoffs or Scores
R Interface to the 'Deutsche Nationalbibliothek (German National
Library) API'
Robust Test for Complete Independence in High-Dimensions
Get the Category of Content Hosted by a Domain
Create Doxygen Documentation for Source Code
Update and Manipulate Rd Documentation Objects
Robust Data-Driven Statistical Inference in
Regression-Discontinuity Designs
Univariate and Multivariate Damped Random Walk Processes
R Interface to DSDP Semidefinite Programming Library
RDS Sample Size Estimation and Power Calculation
Data Transforming Augmentation for Linear Mixed Models
'Creates Color Palettes Inspired by Dune'
Select and Download Climate Data from 'DWD' (German Weather
Service)
'Python' Style Regular Expression Functions
R Interface to Google RE2 (C++) Regular Expression Library
Streamlined Table Styling and Formatting for Reactable
Reactive Transport Modelling in 1d, 2d and 3d
Powerful Replicability Analysis of Genome-Wide Association
Studies
Parse 'ActiGraph' 'GT3X'/'GT3X+' 'Accelerometer' Data
Download and Tidy Time Series Data from the Australian Bureau of
Statistics
Simple Unified Interface to Read Bitmap Images
(BMP,JPEG,PNG,TIFF)
Reads Mass Spectrometry Data in Bruker *flex Format
Read ESA SNAP Processed Raster Format in R
Suite of Functions to Flexibly Read Data from Files
Convert README to Vignette During Package Installation
Read some less Popular Formats Used in Meteorology
Hospital Readmission Data for Patients with Diabetes
Reading Machine Learning Benchmark Data Sets in Different
Formats
Utilities for Importing and Manipulating Biomedical Data Files
Reads Mass Spectrometry Data in mzXML Format
Read 'Blackrock-Microsystems' Files ('NEV', 'NSx')
Fast Reader for 'Wavefront' OBJ 3D Scene Files
Download and Tidy Data from the Reserve Bank of Australia
Simply Read ASCII Single and Multicard Polling Datasets
Translate Models from System Dynamics Software into 'R'
Read and Write Sparse Matrices in 'SVMLight' and 'LibSVM'
Formats
Import and Handling for Plain and Formatted Text Files
Enhanced Reading and Writing for 'SQLite' Databases
Develop and Use Modular Health Economic Models
Where Expectations Meet Reality: Realistic Unit Testing
Analyte Flux and Load from Estimates of Concentration and
Discharge
Density, Distribution, and Sampling Functions for Evidence
Accumulation Models
Statistical Tools for Assessing Publication Integrity of Groups
of Trials
Monotonize Point and Interval Functional Estimates by
Rearrangement
Clean Water Quality Data for NPDES Reasonable Potential Analyses
Empirical Bayes Estimation and Inference
R Client for the eBird Database of Bird Observations
Finite Mixture Modeling, Clustering & Classification
Build Regular Expressions in a Human Readable Way
Core Functionality for the 'rebus' Package
Date and Time Extensions for the 'rebus' Package
Numeric Extensions for the 'rebus' Package
Unicode Extensions for the 'rebus' Package
Relevant Component Analysis for Supervised Distance Metric
Learning
Quantile Recalibration for Regression Models
Recursive Mining for Frequent Pattern and Confident Association
Rules
Text Analysis Through the 'Receptiviti' API
3D Reconstruction of Archaeological Excavations
HydroBudget – Groundwater Recharge Model
Preprocessing and Feature Engineering Steps for Modeling
Ordination Methods for the Analysis of Beta-Diversity Indices
Compute the Rectangular Statistical Cartogram
Psychometric Evaluation Using Relative Excess Correlations
Estimating Environmental Suitability for Plants
Interface Functions for PMML Creation, and Data Recoding
Interactive Annotation of Text and Images
Evaluation Metrics for Implicit-Feedback Recommender Systems
Lab for Developing and Testing Recommender Algorithms
Book-Crossing Dataset (BX) for 'recommenderlab'
Reconstruct Individual-Level Data from Published KM Plots
Toolkit to Validate New Data for a Predictive Model
Record Linkage Functions for Linking and Deduplicating Data Sets
Inference Tools in Time Series Based on Record Statistics
Recommender System using Matrix Factorization
Creates Pseudo-Observations and Analysis for Recurrent Event
Data
Computes Revisitation Metrics for Trajectory Data
Companion Package to the Book 'R: Einführung durch angewandte
Statistik'
Access and Analyze Data from the Red Book of Endemic Plants of
Peru
Automated Construction of R Data Packages from REDCap Projects
Extract 'REDCap' Databases into Tidy 'Tibble's
An Interface to the Computer Algebra System 'REDUCE'
Get Reddit Ads Data via the 'Windsor.ai' API
Reconstruction of Daily Data - Precipitation
Post Processing of (Half-)Hourly Eddy-Covariance Measurements
Reading Data from NetCDF Files for 'REddyProc'
Predict Dominant Direction of Reactions of a Biochemical Network
The Container for the DockerParallel Package
Simulation Methods for Legislative Redistricting
Easily Install and Load Redistricting Software
Tools for the IUCN Red List of Ecosystems and Species
Generates 'Redoc' Documentation from an 'OpenAPI' Specification
Regression Trees with Random Effects for Longitudinal (Panel)
Data
Objective Bayes Intrinsic Conditional Autoregressive Model for
Areal Data
Reference-Based Imputation for Longitudinal Clinical Trials with
Protocol Deviation
Pandemic Prediction Model in an SIRS Framework
Reference Interval Estimation using Real-World Data
Cluster and Merge Similar Values Within a Character Vector
Automatic Scoring of the Cognitive Reflection Test
Reference Limit Estimation Using Routine Laboratory Data
Straightforward 'BibTeX' and 'BibLaTeX' Bibliography Management
Machinery for Processing Random Effect Formulas
Work with Refreshable Datasets that Update their Data
Automatically
Common Computational Operations Working with RefSeq Entries
(GenBank)
Locate Trans and Intersex-Friendly Toilets
UNHCR Refugee Population Statistics Database
Interactive Plotting for Functional Data Analyses
Streamlined Integration of Regression Assumption
Tools for an Introductory Class in Regression and Modeling
Partially Linear Regression under Data Combination
Risk Estimation for Genetic and Environmental Traits
Wrappers Around 'base::grep()' for Use with Pipes
Regular Expressions in 'shiny' Select Lists
Helper Functions for Regression Analysis
Convert Region Names and Division Codes of China Over Years
Curve Registration for Exponential Family Functional Data
Regression Kink with a Time-Varying Threshold
Regression-Based Causal Mediation Analysis with Interaction and
Effect Modification Terms
'regmhmm' Fits Hidden Markov Models with Regularization
Robust Regression and Estimation Through Maximum Mean
Discrepancy Minimization
Network-Based Regularization for Generalized Linear Models
Automatic Time Series Forecasting and Missing Value Imputation
Easy Linear, Quadratic and Cubic Regression Models
Efficient Visualization of Regression Coefficients for lm(),
glm(), and glmnet() Objects
Match and Replace Strings Based on Named Groups in Regular
Expressions
Gaussian Linear Models with Linear Covariance Structure
Simulate and Diagnose (Generalized) Linear Models
Expander Functions for Generating Full Gradient and Hessian from
Single-Slot and Multi-Slot Base Distributions
Toolkit for Compiling, (Post-Hoc) Testing, and Plotting
Regression Results
Random Subspace Method (RSM) for Linear Regression
Information Preserving Regression-Based Tools for Statistical
Disclosure Control
Non-Parametric Bayesian Spectrum Estimation for Multirate Data
Detect and Test Regular Sequences and Subsequences
Searching for Footprints of Selection using 'Extended Haplotype
Homozygosity' Based Tests
Data Only: Searching for Footprints of Selection using Haplotype
Homozygosity Based Tests
Downloads Tweets from a List of Tweet IDs
Functions from "Reinsurance: Actuarial and Statistical Aspects"
Relative Importance of Regressors in Linear Models
Functions for Mapping Key-Value Pairs, Many-to-Many,
One-to-Many, and Many-to-One Relations
Maximum Likelihood Estimation of Relatedness using EM Algorithm
Data Structures and Algorithms for Relations
Draw Regulatory Relationships Between Genes
Estimation for some Reliability Distributions
Calculate Relevance and Significance Measures
Reliability Diagrams Using Isotonic Regression
Relative Contribution of Effects in a Regression Model
The Truncated Elliptical Family of Distributions
Random Effects Meta-Analysis for Correlated Test Statistics
Regional Spatial Modeling with Continuous Borders
Match Regular Expressions with a Nicer 'API'
Tidy Output from Regular Expression Matching
'RStudio' Addins to Simplify 'Markdown' Writing
Regularized Multivariate Functional Principal Component Analysis
Processing and Transforming Relational Event History Data
Insert and Extract "Reminders" from Function Comments
Reference-Based Multiple Imputation for Ordinal/Binary Response
Robust Expectation-Maximization Estimation for Latent Variable
Models
Extensible Markov Model for Modelling Temporal Relationships
Between Clusters
Empirical Orthogonal Teleconnections in R
Spatiotemporal Autoregression Analyses for Large Data Sets
R Package Installation from Remote Repositories, Including
'GitHub'
Refining Evaluation Methodology on Stage System
Computes Statistics for Relational Event History Data
Optimization Frameworks for Tie-Oriented and Actor-Oriented
Relational Event Models
Regularization Ensemble for Robust Portfolio Optimization
Fitting Linear Models with Endogenous Regressors using Latent
Instrumental Variables
Renewal Method for Extreme Values Extrapolation
Renewable Power Systems and the Environment
Interface to Allow Full Use of the Environment Modules System
for Unix
Calculation of Mortgage Plan or Repayment Plan
Methods for High-Dimensional Repeated Measures Data
Replicability Analysis for Multiple Studies of High Dimension
Statistical Metrics for Multisite Replication Studies
Average Bioequivalence with Expanding Limits (ABEL)
Two-Way ANOVA-Like Method to Analyze Replicated Point Patterns
Design and Analysis of Replication Studies
Replication Timing Profiling using DNA Copy Number
Miscellaneous Tools for Reproducible Research
Create Report Table from Different Objects
Generates a Project and Repo for Easy Initialization of a
Workshop
Repeated Measures Proportional Odds Logistic Regression
Automated Reporting of Results and Statistical Models
R Interface to the 'NIH RePORTER Project' API
Generalized Reporter Score-Based Enrichment Analysis for Omics
Data
Lightweight Infrastructure for Handling Multiple R Markdown
Documents
A General Message and Error Reporting System
An Easy Way to Report Regression Analysis
Generate "LaTeX"" Tables of Descriptive Statistics
R Interface to 'EPP-Lab', a Java Program for Exploratory
Projection Pursuit
Determine How Representative Two Multidimensional Data Sets are
Create Representative Records After Entity Resolution
Prepare Reproducible Example Code via the Clipboard
Reproduce Statistical Analyses and Meta-Analyses
Coordinate System Transformations for Generic Map Data
Root Expected Proportion Squared Difference for Detecting DIF
Examples of Recursive Lists and Nested or Split Data Frames
Powerful Classes for HTTP Requests and Responses
Installing and Loading R Packages for Reproducible Workflows
Helper Package to Install Packages for R
Power and Sample Size Calculations for Completely Randomized and
Rerandomized Experiments
General Purpose Client for 'ERDDAP' Servers
Extracts Environmental Data from 'ERDDAP™' Web Services
Data Sets for Mathematical Statistics with Resampling in R
Data Sets for "Mathematical Statistics with Resampling and R"
(3rd Ed)
Estimation in Reducible Stochastic Differential Equations
Retrieving Publications from PubMed Database Based on User Query
Memory-Based Learning in Spectral Chemometrics
Tools for Analysis, Design, and Operation of Water Supply
Storages
Reservoir Computing and Echo State Networks
Fit Distributions and Neural Networks to Censored and Truncated
Data
Simulate Agricultural Production and Evolution of Pesticide
Resistance
Flexibly Reshape Data: A Reboot of the Reshape Package
Robust Effect Size Index (RESI) Estimation
Rapid Easy Synthesis to Inform Data Extraction
Predictors of Resilience to a Stressor in a Single-Arm Study
Electrical Properties of Resistor Networks
Calculate Mean Residual Life (MRL) and Related Values for
Different Distributions
Optimize and Compress Image Files with 'reSmush.it'
Resource Selection (Probability) Functions for Use-Availability
Data
"Resolvable Partially Balanced Incomplete Block Designs
(PBIBDs)"
Tools for Conducting and Analyzing Respirometry Experiments
Screening for Careless Responding Patterns
Import, Process, Analyse, and Calculate Rates from Respirometry
Data
Response Quality Indicators for Survey Research
Search and Retrieve Data from Eurostat Database
R Wrapper to Access a Wide Range of Germany's Federal
Statistical System Databases Based on the GENESIS Web Service
RESTful API of the German Federal Statistical Office
(Statistisches Bundesamt/Destatis)
Create and Query a Local Copy of 'GenBank' in R
Functions for Working with the 'www.estimize.com' Web Services
An Implementation of the RESTK Algorithm
Restricted Statistical Estimation and Inference for Linear
Models
Result Type for Safely Handling Operations that can Succeed or
Fail
Utilities for Multivariate Polynomials with Rational
Coefficients
Machine Learning Models for Predicting Claim Counts
Regularized Exponentially Tilted Empirical Likelihood
Generate Disease-Specific Response Signatures from the
LINCS-L1000 Data
Tools for Type S (Sign) and Type M (Magnitude) Errors
Import Professional Baseball Data from 'Retrosheet'
Argument Table Generation for Sensitivity Analysis
Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
Revealed Preferences and Microeconomic Rationality
R Markdown Format for 'reveal.js' Presentations
Connect to Your 'Revenera' (Formerly 'Revulytics') Data
Linear Regression Stability to Significance Reversal
Reversion Mutation Identifier for Sequencing Data
Visualization and Post-Processing of 'RevBayes' Analyses
Reverse Geocoding with the Photon Geocoder for OpenStreetMap,
Google Maps, and Bing
A Light-Weight, Portable Tool for Reviewing Individual Patient
Records
Tools for Computational Revealed Preference Analysis
Visualizing the Standard Deviation via Revolution
Data Preparation and Diagnostics for Random Effects Within
Estimator
R Wrappers for EXPOKIT; Other Matrix Functions
Call Rust Code from R using the 'extendr' Crate
R Interface to 'FACTS' on Unix-Like Systems
A Collection of Efficient and Extremely Fast R Functions
A Collection of Efficient and Extremely Fast R Functions II
Random Forest with Canonical Correlation Analysis
Multiple Imputation using Chained Random Forests
Automatically Generated Fish Drawings via JavaScript
'Programmatic Interface to the 'openfisheries.org' API'
Exploratory Data Analysis for FishNet2 Data
FlashText Algorithm for Finding and Replacing Words
Significance Level for Random Forest Impurity Importance Scores
Data for the Vignette and Examples in 'RFlocalfdr'
Neutral Landscape Generator with Targets on Landscape Indices
Recency, Frequency and Monetary Value Analysis
Graphics for Spherical Distributions and Earthquake Focal
Mechanisms
Working with many R Folders Within an R Package
Code Examples to Accompany the Book "R for Dummies"
Random Forests, Linear Trees, and Gradient Boosting for
Inference and Interpretability
Estimate Permutation p-Values for Random Forest Importance
Metrics
Prediction Intervals with Random Forests and Boosted Forests
A 'FRACTRAN' Interpreter and Some Helper Functions
Feasible Solution Algorithm for Finding Best Subsets and
Interactions
Unbiased Variable Importance for Random Forests
Sequential Permutation Testing of Random Forest Variable
Importance Measures
Interactive Visualization Tool for Random Forests
Gabriel Multiple Comparison Test and Plot the Confidence
Interval on Barplot
Production Function Output Gap Estimation
Interface to the Global Biodiversity Information Facility API
LS-TreeBoost and LAD-TreeBoost for Gene Regulatory Network
Reconstruction
Hierarchical Modeling and Frequency Method Checking on
Overdispersed Gaussian, Poisson, and Binomial Data
Regularized and Sparse Generalized Canonical Correlation
Analysis for Multiblock Data
Preprocessing and Multivariate Analysis of Bidimensional Gas
Chromatography Data
Wrapper for 'Coinbase Pro (erstwhile GDAX)' Cryptocurrency
Exchange
R Bindings for Calling the 'Earth Engine' API
Search, Composite, and Download 'Google Earth Engine' Imagery
with the 'Python' Module 'geedim'
Random Sampling Distribution C++ Routines for Armadillo
Generates Multivariate Nonnormal Data and Determines How Many
Factors to Retain
Tools to Generate Daily-Precipitation Time Series
R Version of GENetic Optimization Using Derivatives
Build, Import, and Export GEXF Graph Files
2021 Ghana Population and Housing Census Results as Data Frames
Access WHO Global Health Observatory Data from R
'cry' and 'rgl' — Applications in Crystallography
Extension of the 'rgl' 3D Visualization Package
Advanced Inference with Random Graphical Models
Robust-Gauss Newton (RGN) Optimization of Sum-of-Squares
Objective Function
Elimination of Noisy Samples in Regression Datasets using Noise
Filters
Unsampled Data in R for Google Analytics Premium Accounts
API Wrapper for Google Classroom and Google Forms
R Interface for the GPlates Web Service and Desktop Application
Representing Graphs as 'graph6', 'digraph6' or 'sparse6' Strings
Data and Functions from the Book R Graphics, Third Edition
A Lightweight Interface Between 'ggplot2' and 'igraph' Objects
Interface Between 'GRASS' Geographical Information System and
'R'
Estimate the "Gremlins in the Data" Model for Conjoint Studies
Repetitive Group Sampling Plan Based on Cpk
Search and Retrieve Spatial Data from 'GUGiK'
Analysis of Continuous Glucose Monitor Data
Interface to the 'Handsontable.js' Library
Robust Hierarchical Co-Clustering to Identify Significant
Co-Cluster
A Zero Dependency 'SVG' Icon Library for 'Shiny'
Clustering Genetic Sequence Data Using the HierBAPS Algorithm
A Framework for Enterprise Shiny Applications
Random Heteroscedastic Nested Error Regression
Side Effect Risks in Hospital : Simulation and Estimation
Benchmarks for High-Performance Computing Environments
Heart Rate Variability Analysis of ECG Data
Ryan-Holm Step-Down Bonferroni or Sidak Procedure
Identification of Hybrid Peptides in Immunopeptidomic Analyses
Wrapper for the 'Datamuse' API to Find Rhyming and Associated
Words
Randomization Inference for Randomized Experiments
Randomization Inference for Treatment Effects on a Binary
Outcome
Radiomics Image Analysis Toolbox for Medial Images
A Flexible Approach for Causal Inference with Multiple
Treatments and Clustered Survival Outcomes
An Implementation of 'Interactive Brokers' API
Benchmark Suite for Indirect Methods for RI Estimation
Gene Annotation of Rice (Oryza Sativa L.spp.japonica)
Convert Biological ID from RAP or MSU to SYMBOL for Oryza Sativa
Randomization Inference of Clustered Randomized Trials
Multiple Change-Point Detection in Multivariate Time Series
Drawing SVG Graphics to Visualize and Map Genome-Wide Data on
Idiograms
Ridge Regression with Automatic Selection of the Penalty
Parameter
Accesses Weather Data from the Iowa Environment Mesonet
Learning with Data on Riemannian Manifolds
Functions and C++ Header Files for Computation on Manifolds
Estimate Recentered Influence Function Regression
Regression, Inference, and General Data Analysis Tools in R
An R Interface to the 'Tiingo' Stock Price API
ILO Open Data via Ilostat Bulk Download Facility
Interface to 'Maxima', Enabling Symbolic Computation
Read and Write 'ImageJ' Region of Interest (ROI) Files
Concentration Index and Decomposition for Health Inequalities
An Installation Framework for Shiny Apps
C++ Classes to Embed R in C++ (and C) Applications
View Images on Full Screen in 'RMarkdown' Documents and 'shiny'
Applications
Calculate Persistent Homology with Ripser-Based Engines
Data Analysis and Parameter Estimation Using Item Response
Theory
Causal Inference and Prediction in Cohort-Based Analyses
Computes 26 Financial Risk Measures for Any Continuous
Distribution
Functions to Study Etiologic Heterogeneity
G-Computation to Estimate Interpretable Epidemiological Effects
Geo-Statistical Modeling of Spatially Referenced Data
Assessing Risk Predictions for Clustered Data
Risk Regression Models and Prediction Scores for Survival
Analysis with Competing Risks
Estimate Risk Ratios and Risk Differences using Regression
Riskset ROC Curve Estimation from Censored Survival Data
Risk Quantification for Stock Portfolios under the T-Copula
Model
Rendering Risk Literacy more Transparent
Automated Transformations, Normality Testing, and Reporting
Isothermal Titration Calorimetry (ITC) Data Analysis
Integrated Taxonomic Information System Client
Fragmentation and Connectivity Indices for Riverscapes
River Network Distance Computation and Applications
In Vitro in Vivo Correlation Linear Level "A"
Extract and Analyze Rivers from Elevation Data
Steady and Unsteady Open-Channel Flow Computation
Reproducible Data Science Environments with 'Nix'
A Clean, Whitespace-Sensitive Template Language for Writing HTML
Regularized Joint Assignment Forest with Treatment Arm
Clustering
Artificial Intelligence Systems and Observer Performance
Handling Jalali Date (Persian / Solar Hijri)
A Fast Clustering Algorithm for High Dimensional Data Based on
the Gram Matrix Decomposition
Provides Access to Databases Through the JDBC Interface
Interface to 'JDemetra+' Seasonal Adjustment Software
'rmarkdown' Extension for Formatted 'RJDemetra' Outputs
Quality Assessment for Seasonal Adjustment
Miscellaneous Useful Functions for Statistics
Query, Pivot, Patch, and Validate 'JSON' and 'NDJSON'
Serialize R Objects to JSON, JavaScript Object Notation
Preparing, Checking, and Submitting Articles to the 'R Journal'
Interface to the 'JWSACruncher' of 'JDemetra+'
External Jars Required for Package 'rkafka'
Datasets from 'KEEL' for it Use in 'RKEEL'
Historical Data for Kenya Foreign Exchange Prices
Ridge Group Sparse Optimization Problem for Estimation of a Meta
Model Based on Reproducing Kernel Hilbert Spaces
Minicircle Sequence Classes (MSC) Analyses
Mann-Kendall Test, Seasonal and Regional Kendall Tests
Functions and Datasets Required for ST370 Class
Data Exchange Between R and 'LabKey' Server
Interface to 'LANDFIRE Product Service' API
Functions for Base Types and Core R and 'Tidyverse' Features
Read and Write 'las' and 'laz' Binary File Formats Used for
Remote Sensing Data
Create Interactive Linked Charts with Minimal Code
Robust Likelihood Cross Validation Bandwidth Selection
Common Functions for Run-Length Encoded Vectors
Estimates, Plots and Evaluates Leaf Angle Distribution
Functions, Calculates Extinction Coefficients
R Interface to RNG with Multiple Streams
Simulations and Statistical Inference for Linear Fractional
Stable Motions
Bayesian Exponential Smoothing Models with Trend Modifications
Ensemble Empirical Mode Decomposition (EEMD) and Its Complete
Variant (CEEMDAN)
A Versatile Kernel Density Visualization Library for Geospatial
Analytics (Heatmap)
Kriging Models using the 'libKriging' Library
Linked Inference of Genomic Experimental Relationships
Load Data from 'Linkedin Advertising API'
Iterative Solvers for (Sparse) Linear System of Equations
A Toolbox for Non-Tabular Data Manipulation
Clinical Trial Style Data Readout Listings
Access and Analyze Data from 'DeFiLlama'
Robust Regression with Data Driven Tuning Parameter
Rank-Based Estimation and Prediction in Random Effects Nested
Models
R Parallel Implementation of Local Outlier Factor(LOF)
Optimal Adaptive Allocation Using Deep Reinforcement Learning
Exact (Restricted) Likelihood Ratio Tests for Mixed and Additive
Models
Monte-Carlo Methods for Simulating Luminescence Phenomena
Solving Ordinary Differential Equations to Understand
Luminescence
'Shiny' Applications for the R Package 'Luminescence'
Weighted Rasch Modeling and Extensions using Conditional Maximum
Likelihood
Exact Confidence Intervals for Random Effects Meta-Analyses
Fetch Geologic Data from the 'Macrostrat' Platform
Makefile Generator for R Analytical Projects
Fit Multi-Modal Mallows' Models to Ranking Data
Continuous Optimization using Memetic Algorithms with Local
Search Chains (MA-LS-Chains)
Client for 'mapshaper' for 'Geospatial' Operations
Client for 'Mapzen' and Related Map APIs
Calculate 3D Contour Meshes Using the Marching Cubes Algorithm
Detect Marine Heat Waves and Marine Cold Spells
Repeated Measures with Attrition: Sample Sizes and Power Levels
for 2 Groups
Performing Bayesian Inference for Repeated-Measures Designs
Airborne LiDAR Filtering Method Based on Multiscale Curvature
The MCFS-ID Algorithm for Feature Selection and Interdependency
Discovery
HTML Output Formats and Templates for 'rmarkdown' Documents
Partial 'rmarkdown' Documents to Prettify your Reports
Count Words, Chars and Non-Whitespace Chars in R Markdown Docs
Synchrony in Motion Energy Analysis (MEA) Time-Series
MEREC - Method Based on the Removal Effects of Criteria
Repeated Measures Functional Analysis of Variance
Multiple Imputation with Denoising Autoencoders
Data Mining Classification and Regression Methods
Derivative-Free Optimization in R using C++
Mixture Models with Heterogeneous and (Partially) Missing Data
Minimal Interface of the C++ 'MixtComp' Library for Mixture
Models with Heterogeneous and (Partially) Missing Data
Utility Functions for 'MixtComp' Outputs
Maximum Likelihood Principal Component Analysis
Connect R with MOA for Massive Online Analysis
Automated Markov Chain Monte Carlo for Arbitrarily Structured
Correlation Matrices
Graphic Visualization of the Birds' Molt
Support Retrospective Harmonization of Data
Risk Management and Optimization for Portfolio Investment
Estimates Pareto-Optimal Solution for Hiring with 3 Objectives
R MPFR - Multiple Precision Floating-Point Reliable
Interface (Wrapper) to MPI (Message-Passing Interface)
Recursive Modified Pattern Search on Hyper-Rectangle
Causal Mediation Analysis Using Weighting Approach
Importing Data from Loligo Systems Software, Calculating
Metabolic Rates and Critical Tensions
Refined Modified Stahel-Donoho Estimators for Outlier Detection
Refined Modified Stahel-Donoho (MSD) Estimators for Outlier
Detection (Parallel Version)
Amazing Random Facts About the World's Greatest Hacker
Quickly View Data Frames in 'Excel', Build Folder Paths and
Create Date Vectors
'Rcpp' Bindings to Native C++ Implementation of MS Numpress
Bayesian Restricted Mean Survival Time for Cluster Effect
Comparing Restricted Mean Survival Time as Sensitivity Analysis
Restricted Mean Time in Favor of Treatment
Signal-Noise Separation in Random Matrices by using Eigenvalue
Spectrum Analysis
Distributions, Statistics and Tests Derived from Random Matrix
Theory
Utilities for Nonlinear Regression and Repeated Measurements
Models
Mappable Vector Library for Handling Large Datasets
Memory-Efficient, Visualize-Enhanced, Parallel-Accelerated GWAS
Tool
Tools to Conduct Meteorological Normalisation and Counterfactual
Modelling for Air Quality Data
Database Interface and 'MySQL' Driver for R
Creation, Reading and Validation of 'mzqc' Files
Recursive Display of Items in Nested Lists
Recursive Non-Additive Emulator for Multi-Fidelity Data
Log-Linear Poisson Graphical Model with Hot-Deck Multiple
Imputation
Access Data from the NASS 'Quick Stats' API
World Vector Map Data from Natural Earth Used in 'rnaturalearth'
Image Data Used in the Loon Package Demos
Wrapper for the National Bank of Poland API
EUtils libraries for use in the R environment
Obtain, Organize, and Visualize NCEP Weather Data
Testing Neighbor Effects in Marker-Based Regressions
Interval Mapping for Quantitative Trait Loci Underlying Neighbor
Effects
Entropy Based Method for the Detection of Significant Variation
in Gene Expression Data
Fast Network Modularity and Roles Computation by Simulated
Annealing (Rgraph C Library Wrapper for R)
Provides an Interface to the Agent-Based Modelling Platform
'NetLogo'
Tools for Comparing Text Messages Across Time and Media
Semantically Rich I/O for the 'NeXML' Format
Random Number Generation for Generalized Poisson Distribution
Utility Functions for Working with Random Number Generators
Toolbox for WELL Random Number Generators
Image Registration Using the 'NiftyReg' Library
A Wrapper of the 'JavaScript' Library 'Nightly'
Bayesian Network Meta-Analysis with Missing Participants
Perform the Complete Processing of a Set of Proton Nuclear
Magnetic Resonance Spectra
Nearest Neighbor Descent Method for Approximate Nearest
Neighbors
An R Interface to the NOAA Operational Model Archive and
Distribution System
Interface to the National 'Phenology' Network 'API'
UK National River Flow Archive Data from R
Interface to the Numerai Machine Learning Tournament API
An Incomplete Wrapper of the 'nvd3' JavaScript Library
Find Free Versions of Scholarly Publications via Unpaywall
Robust Analysis of High Dimensional Data
Interpolation Grids for Packages of the 'RobASt' - Family of
Packages
Using Block Model to Estimate the Robustness of Ecological
Network
Robust Bayesian Variable Selection for Gene-Environment
Interactions
Optimally Robust Estimation for Extreme Value Distributions
Robust Bootstrap Forecast Densities for GARCH Models
Robust Inference for Covariate Adjustment in Randomized Clinical
Trials
Interface for the RobinHood.com No Commission Investing Platform
Ocean Biodiversity Information System (OBIS) Client
Innovative and/or Additive Outlier Robust Kalman Filtering
Optimally Robust Influence Curves and Estimators for Location
and Scale
Infinitesimally Robust Estimators for Preprocessing -Omics Data
Extra Functionality for (Robust) Mediation Analysis
Robust Generalized Linear Models (GLM) using Mixtures
Robust Nonparametric Two-Sample Tests for Location/Scale
Robustness Checks for Omitted Variable Bias
A 'robots.txt' Parser and 'Webbot'/'Spider'/'Crawler'
Permissions Checker
Robust Periodogram and Periodicity Detection Methods
Three-Step Regression and Inference for Cellwise and Casewise
Contamination
Robust Regression with Compositional Covariates
Import an Observable Notebook as HTML Widget
Robust Stepwise Split Regularized Regression
Outlier Robust Two-Stage Least Squares Inference and Testing
Truncated Maximum Likelihood Fit and Robust Accelerated Failure
Time Regression for Gaussian and Log-Weibull Case
Robust One-Way ANOVA Tests under Heteroscedasticity and
Nonnormality
Robust Solution to the Behrens-Fisher Problem
Robust Bayesian Linear Mixed-Effects Models using ABC
Robust Calibration of Imperfect Mathematical Models
Collection of Robust Covariance and (Sparse) Precision Matrix
Estimators
Calibrated Correlation and Two-Sample Tests
Robust Methods using Exponential Tilt Model
Object Oriented Solution for Robust Factor Analysis
Robust Gaussian Stochastic Process Emulation
Robust Methods for High-Dimensional Data
Robust Instrumental Variable Methods in Linear Models
Robust Variable Selection with Exponential Squared Loss
Robust Inference for Meta-Analysis with Influential Outlying
Studies
Robust Tuning and Training for Cross-Source Prediction
An Extended Rao-Stirling Diversity Index to Handle Missing Data
Robust Estimation for Seemingly Unrelated Regression Models
Robust Estimation of Variance Component Models
'eXtra' / 'eXperimental' Functionality for Robust Statistics
Visualize the Results of Risk-of-Bias (ROB) Assessments
Semi-Automated Marketing Mix Modeling (MMM) from Meta Marketing
Science
Aggregate Multiple ROC Curves into One Global ROC
Statistical Inference for Box-Cox Based Receiver Operating
Characteristic Curves
Two-Way Feature Set Testing for Multi-Omics
Performance Assessment of Binary Classifier with Visualization
Functions for Diffusing Function Documentations into 'Roxygen'
Comments
Non-Inferiority Test for Paired ROC Curves
Work with Romanian Personal Numeric Codes PNC / CNP
ROC Curve Inference with and without Covariates
Robust Rank Correlation Coefficient and Test
Compute and Compare Diagnostic Test Statistics Across Groups
Visualizing the Performance of Scoring Classifiers
Receiver Operating Characteristic Based Signature Identification
ROC Surface Analysis Under the Three-Class Problems
Receiver Operating Characteristic (ROC)-Guided Classification
and Survival Tree
Provides Access to Databases Through the ODBC Interface
Ordinary Differential Equation (ODE) Solvers Written in R Using
S4 Classes
Identify Rogue Taxa in Sets of Phylogenetic Trees
'ROI' Optimization Problems Based on 'globalOptTests'
'ROI' Access to 'MIPLIB' 2010 Benchmark Instances
'ROI' Optimization Problems Based on 'NETLIB-LP'
'alabama' Plug-in for the 'R' Optimization Infrastructure
'clarabel' Plug-in for the 'R' Optimization Infrastructure
'DEoptim' and 'DEoptimR' Plugin for the 'R' Optimization
Interface
'ECOS' Plugin for the 'R' Optimization Infrastructure
'HiGHS' Plugin for the 'R' Optimization Infrastructure
'ipop' Plug-in for the 'R' Optimization Interface
'lp_solve' Plugin for the 'R' Optimization Infrastructure
'Multi-Solution' Binary Linear Problem Plug-in for the 'R'
Optimization Interface
'NEOS' Plug-in for the 'R' Optimization Interface
'nloptr' Plug-in for the 'R' Optimization Infrastructure
'optimx' Plug-in for the 'R' Optimization Infrastructure
'osqp' Plugin for the 'R' Optimization Infrastructure
'qpOASES' Plugin for the 'R' Optimization Infrastructure
'quadprog' Plug-in for the 'R' Optimization Infrastructure
'SCS' Plug-in for the 'R' Optimization Infrastructure
'SYMPHONY' Plug-in for the 'R' Optimization Interface
Obtaining Star Databases from Flat Tables
R Markdown Output Formats for Storytelling
Construct Consistent Time Series from Textual Data
Convert Colour Specification to Colour Name
A Colour List and Colour Metric Based on the ISCC-NBS System of
Color Designation
Finding Optimal Three-Group Splits Based on a Survival Outcome
Subroutines to Estimate Rolling Window Multiple Correlation
Estimate Rolling Window Wavelet Correlation Between Two Time
Series
Read and Search Interface to the 'HL7 FHIR' REST API
R Object Oriented Programming for Statistical Distribution
Finds Roots, Extrema and Inflection Points of a Curve
Nonlinear Root Finding, Equilibrium and Steady-State Analysis of
Ordinary Differential Equations
Model Selection with FDR Control of Selected Variables
Download, Compile and Link 'OpenBLAS' Library with R
Helper Package for Installing OpenCV with R
Query and Download 'Rapid7' 'Cybersecurity' Data Sets
Additional Operators to Help you Write Cleaner R Code
Reproducible Data Retrieval from the Roper Center Data Archive
General Purpose Optimization in R using C++
A Parallel General-Purpose Adaptive Optimisation Engine
Matrix Reconstruction from a Few Entries
OCI Based Oracle Database Interface for R
Extended Rosenbrock-Type Densities for Markov Chain Monte Carlo
(MCMC) Sampler Benchmarking
ROSE Random Forests for Robust Semiparametric Efficient
Estimation
Parallel Use of Statistical Packages in Teaching
Plot Raster Map Tiles from Open Street Map and Other Sources
Robust Sparse PCA using the ROSPCA Algorithm
Client to Access and Operate on the 'Open Source Vulnerability'
API
Tests for Rotational Symmetry on the Hypersphere
A Non-Axis-Dominant Association Plotting Tool
Interface to the 'Open Tree of Life' API
Data Analysis Using Rough Set and Fuzzy Rough Set Theories
A Simple Router for HTTP and WebSocket Requests
Typed Parameter Tags for Integration with 'roxygen2'
Placido Analysis of Corneal Irregularity
Confirmatory Adaptive Clinical Trial Design and Analysis
Interact with the 'PADRINO' IPM Database
Automatic Detection of Experimental Unit in Precision
Agriculture
Download Paleoclimate Data from 'PaleoClim'
Simple Interactive Controls for R using the 'tcltk' Package
Download and Merge Single-Cell RNA-Seq Data from the PanglaoDB
Database
Recursive Partitioning and Regression Trees
Least Absolute Deviation Regression Trees
Plot 'rpart' Models: An Enhanced Version of 'plot.rpart'
Classification Trees for Ordinal Responses
String Similarity Joins for Hamming and Levenshtein Distances
Inference and Prediction of Generic Physiologically-Based
Kinetic Models
RobustPCA: Decompose a Matrix into Low-Rank and Sparse
Components
Read, Write, Visualize and Manipulate PDB Files
A Comprehensive Interface for Accessing the Protein Data Bank
A New Type of Test Statistic and Method for Multinomial
Goodness-of-Fit Test
Tools for Chromatographic Column Characterization and Modelling
Chromatographic Peak
Gamma and Exponential Generalized Linear Models with Elastic Net
Penalty
Computation and Plots of Influence Functions for Risk and
Performance Measures
Estimates of Standard Errors for Risk and Performance Measures
Reduced Piecewise Exponential Estimate/Test Software
Soil and Chemical Substance Emission and Transport Model
Phylogenetic Comparative Tools for Missing Data and
Within-Species Variation
Get Silhouettes of Organisms from PhyloPic
Build Powerful Pivot Tables and Dynamically Slice & Dice your
Data
Plausibility Analysis of Epidemiological Signals
Bayesian Age-Depth Modelling of Cores Dated by Pb-210
Modeling of Revealed Preferences Matchings
Graphical User Interface (GUI) for Interactive R Analysis
Sessions
Recursive Partitioning for Modeling Survey Data
R Interface to the 'PostgreSQL' Database System
Sample Size Computations Controlling the Type-II Generalized
Family-Wise Error Rate
Resolvable partially pairwise balanced design and Space-filling
design via association scheme
Reads, Annotates, and Normalizes Reverse Phase Protein Array
Data
Reverse-Phase Protein Array Super Position and Concentration
Evaluation
Regularized PQL for Joint Selection in GLMMs
Database Preferences and Skyline Computation
Estimating Disease Prevalence from Registry Data
Functions for Working with 'Eprime' Text Files
WOE Transformation and Scorecard Builder
Load Both User-Global and Project-Specific R Profile
Configurations
Create Folders and Files Structure for Data Science Projects
R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3)
Rank Preserving Structural Failure Time Models
Goodness of Fit Tests for High-Dimensional Linear Regression
Models
Repeatability Estimation for Gaussian and Non-Gaussian Data
R Interface to the Pushbullet Messaging Service
An Alternative Advanced Normalization Tools ('ANTs')
Easy to Configure an Isolated 'Python' Environment
Relative Quantification of Gene Expression using Delta Ct
Methods
Quantum Entanglement of Bipartite System
Modified Poisson and Least-Squares Regressions for Binary
Outcome
QSAR Modeling with Multiple Algorithms: MLR, PLS, and Random
Forest
Create Tests According to QTI 2.1 Standard
Quantitative Evaluation of the Native Fertility of Tropical
Soils
Relational Query Generator for Data Manipulation at Scale
Hypothesis Tests for Quantiles and Quantile-Based Measures
Statistical Methods for the Randomized Response Technique
Generate Random Vectors Whose Components Sum Up to One
Robust Regression with Asymmetric Heavy-Tail Noise Distributions
Estimating Replication Rate for Genome-Wide Association Studies
Connecting R and 'Raven' Sound Analysis Software
Ridge Regression and Other Kernels for Genomic Selection
Scalable Robust Estimators with High Breakdown Point
Robust Methods for Multiway Data Analysis, Applicable also for
Compositional Data
Robust Multivariate Methods for High Dimensional Data
Scalable Robust Estimators with High Breakdown Point for
Incomplete Data
Environment for Evaluating Recommender Systems
Visualization for Norwegian Health Quality Registries
Invoke 'Repast Simphony' Simulation Models
An Analyzer of International Large Scale Assessments in
Education
Realized Relatedness Estimation and Simulation
Residual Randomization Inference for Regression Models
Fitting Distributions to Given Data or Known Quantiles
Reduced-Rank Multinomial Logistic Regression for Markov Chains
Phylogenetic Ridge Regression Methods for Comparative Studies
Linear Model Evaluation with Randomized Residuals in a
Permutation Procedure
Correlation and Regression Analyses for Randomized Response Data
Online Robust Reduced-Rank Regression Estimation
Robust Re-Scaling to Better Recover Latent Effects in Data
Reproducible Research with a Table of R Codes
Randomized Response Techniques for Complex Surveys
Bayesian Estimation of the Reduced Reparameterized Unified Model
with Gibbs Sampling
Data related to the book "R Statistical Application Development
by Example"
Linking R with the Open-Source 'SAGA-GIS' Software
Ports the Workflow of "Resampling Stats" Add-in to R
Dealing with Multiplatform Satellite Images
Tools, Classes, and Methods for Interfacing with 'SaTScan'
Stand-Alone Software
Handle R Requests from R Service Bus Applications with JSON
Payloads
An R Package for Stepwise Cluster Analysis
Shadow-Test Approach to Computerized Adaptive Testing
R Source Code Similarity Evaluation by Variable/Function Names
Scelestial: Steiner Tree Based Single-Cell Lineage Tree
Inference
Deploys Multiple 'Shiny' Apps using Configuration File
Deploy Docs, Apps, and APIs to 'Posit Connect', 'shinyapps.io',
and 'RPubs'
Generic implementation of the 'RStudio' connections contract
A Method to Download Department of Education College Scorecard
Data
Ray Shooting Depth (i.e. RS Depth) Functions for Bivariate
Analysis
Spatial Dispersion Index (SDI) Family of Metrics for
Spatial/Geographic Networks
Tools for Reading SDMX Data and Metadata
Response Surface Designs with Neighbour Effects (rsdNE)
Number of Newly Discovered Rare Species Estimation
Estimating the Proportion of Genetically Modified Seeds in
Seedlots via Multinomial Group Testing
Robust Structural Equation Modeling with Missing Data and
Auxiliary Variables
Strain Elevation Tension Spring Embedding
Report of Statistical Findings in 'bookdown'
SGF (Smart Game File) File Format Import
Functions for Hierarchical Bayesian Estimation: A Flexible
Approach
Simulated Haploid Asexual Population Evolution
Paleoecology Functions for Regime Shift Analysis
Efficiently Retrieve and Process Satellite Imagery
Siena - Simulation Investigation for Empirical Network Analysis
Analysis of Simulation Studies Including Monte Carlo Error
Download Data from Mexico's Air Quality Information System
Hypothesis Testing Based on R-Size Biased Samples
Create Custom 'Rstudio' Keyboard Shortcuts
A Stemming Algorithm for the Portuguese Language
Submit R Calculations to a 'Slurm' Cluster
Loading Facebook and Instagram Advertising Data from
'Smartly.io'
Matching Methods for Time-Varying Observational Studies
Neural Networks using the Stuttgart Neural Network Simulator
(SNNS)
Import Various Northern and Southern Hemisphere Climate Indices
'shiny' Applications for Statistical and Psychometric Analysis
Adapt Numerical Records to Fit (in)Equality Restrictions
Sites, Population, and Records Cleaning Skills
Rational Approximations of Fractional Stochastic Partial
Differential Equations
Solvers for Large-Scale Eigenvalue and SVD Problems
Conversion Between Attitude Representations of DCM, Euler
Angles, Quaternions, and Euler Vectors
R's Shortest Path Problem with Forbidden Subpaths
Identify Distributions that Match Reported Sample Parameters
(SPRITE)
Database Agnostic Package to Generate and Process 'SQL' Queries
in R
Total Mediation Effect Size Measure for High-Dimensional
Mediators
Sum of Ranking Differences Statistical Test
A Collection of Methods for Singular Spectrum Analysis
Extension of 'lixoftConnectors' for 'Simulx'
Implementations of Semi-Supervised Learning Approaches for
Classification
Simulation of Supply Reservoir Systems using Standard Operation
Policy
Testing the Equality of Two Means Using RSS and MRSS
Client Library for SpatioTemporal Asset Catalog
Persistent Fast Amortized Stack and Queue Data Structures
Bayesian Applied Regression Modeling via Stan
Bayesian Deming Regression for Method Comparison
Tools for Developing R Packages Interfacing with 'Stan'
Pipe-Friendly Framework for Basic Statistical Tests
STG : Feature Selection using STochastic Gates
Random Orthonormal Matrix Generation and Optimization on the
Stiefel Manifold
Smooth Survival Models, Including Generalized Survival Models
Design of Rotatable Central Composite Experiments and Response
Surface Analysis
Robust Estimation of the Proportion of Treatment Effect
Explained by Surrogate Marker Information
Design and Analysis of Disease Surveillance Activities
Robust Singular Value Decomposition using Density Power
Divergence
Render SVG Images into PDF, PNG, (Encapsulated) PostScript, or
Bitmap Arrays
Extract Semantic Relations from Text by Querying and Reshaping
Syntax
Manage and manipulate large collections of R objects stored as
tape-like files
Detecting Trait Clustering in Environmental Gradients
Repertoire Analysis of the Detected Clonotype
R Templates for Reproducible Data Analyses
Tools for Tensor Analysis and Decomposition
Automatic Text Classification via Supervised Learning
Robust Factor Analysis for Tensor Time Series
Methods to Analyse Seasonal Radial Tree Growth Data
HMM-Based Model for Genotyping and Cross-Over Identification
A Byte-Pair-Encoding (BPE) Tokenizer for OpenAI's Large Language
Models
Inequality, Welfare and Poverty Indices and Curves using the
EU-SILC Data
'STK++' Core Library Integration to 'R' using 'Rcpp'
Risk Tool Library - Trading, Risk, 'Analytics' for Commodities
Right to Left Dynamic Documents Using 'knitr'
Post-Hurricane Damage Severity Classification from TLS and AI
Truncated Newton Function Minimization with Bounds Constraints
Create and Manage Todolist using 'Todoist.com' API
Interpolation of Data with Variable Spatial Support
Fitting and Analysing Thermal Performance Curves
Measuring Information Flow Between Time Series with Shannon and
Renyi Transfer Entropy
Analyze Download Logs from the CRAN RStudio Mirror
Triangle - A 2D Quality Mesh Generator and Delaunay Triangulator
Advanced and Parallel Random Number Generation via 'TRNG'
Data Analysis Tools over Space of Phylogenetic Trees Using
Tropical Geometry
'Trial Sequential Analysis' for Error Control and Inference in
Sequential Meta-Analyses
Performs the Transformed-Stationary Extreme Values Analysis
T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut
Implementation
The R Implementation of the 't-walk' MCMC Algorithm
Bayesian Inference from the Conditional Genetic Stock
Identification Model
Implementation of Unobserved Components Model (UCM)
Technical Data Sets by Ruijter et al. (2013)
Learn Text 'Embeddings' with 'Starspace'
R Templates from the University of Miami
Univariate GARCH-MIDAS, Double-Asymmetric GARCH-MIDAS and
MEM-MIDAS
A Pharmacometrics Data Transformation and Analysis Tool
Automatically Plot, Analyse and Revises Limits of Multiple Run
Charts
Softball Run Expectancy using Markov Chains and Simulation
Interface Utilities, Model Templates, Parallel Computing Methods
and Additional Distributions for MCMC Models in JAGS
Runs Monte Carlo Markov Chain - With Either 'JAGS', 'nimble' or
'greta' - While Adjusting Burn-in and Thinning Parameters
Fast Computation of Running Statistics for Time Series
R Interface to the 'UNU.RAN' Random Variate Generators
Rapid Parallel and Distributed Computing
Beautiful Graphical Representation of Multiplication Tables on a
Modular Circle
Real-Time PCR Data Sets by Rutledge et al. (2004)
Detect and Remove Unwanted Variation using Negative Controls
Testing and Plotting Procedures for Biostatistics
R-Values for Ranking in High-Dimensional Settings
Manipulations of Triangular Meshes Based on the 'VCGLIB' API
Query 'R' Versions, Including 'r-release' and 'r-oldrel'
Search 'Vertnet', a 'Database' of Vertebrate Specimen Records
R Graphics Devices for 'Office' Vector Graphics Output
Calling Haplotype-Based and Variant-Based Pedigree
Disequilibrium Test for Rare Variants in Pedigrees
Collinearity Detection using Redefined Variance Inflation Factor
and Graphical Methods
High Performance Algorithms for Vine Copula Modeling
Wrapper for 'Visidata', an Interactive Multitool for Tabular
Data
Radial Velocity Method for Detecting Exoplanets
Fast Generation of von Mises-Fisher Distributed Pseudo-Random
Vectors
Random Walk Clustering on Weighted Graphs
Generating Summaries, Reports and Plots from the World Checklist
of Vascular Plants
Read and Manipulate Data from 'RiverWare'
Sweave Drivers with Extra Tricks Up their Sleeve
Random Walks on Graphs Representing a Transactional Network
Import and Handling for 'WhatsApp' Chat Logs
Interface for the 'Wildbook' Wildlife Data Management Framework
Test, Document, Containerise, and Deploy R Packages
Lazy Search in R Packages, Task Views, CRAN, the Web. All-in-One
Download
Chinese Character Frequency in Real World
R We There Yet? Visualizing MCMC Convergence in Phylogenetics
Functions to Compute Chemical and Chemical Reaction Similarity
Facilities for Simulating from ODE-Based Models
Combined Total and Allele Specific Reads Sequencing Study
Maximum Likelihood Shrinkage using Generalized Ridge or Least
Angle Regression
R Interface to the 'Yacas' Computer Algebra System
Legacy 'Ryacas' (Interface to 'Yacas' Computer Algebra System)
Access to the YouTheria Mammal Trait Database
Simultaneous Selection by Trait and WAASB Index
R Module for Working with the 'Zabbix API'
Partitioning of Individual Autozygosity into Multiple
Homozygous-by-Descent Classes
Spherical Geometry Operators Using the S2 Geometry Library
Functions for University of Auckland Course STATS 201/208 Data
Analysis
A Set of Common Tools for Seasonal to Decadal Verification
Biclustering via Sparse Singular Value Decomposition
Incorporating Stability Selection
An Object Oriented System Meant to Become a Successor to S3 and
S4
Somatic Copy Number Alteration Analysis Using Sequencing and SNP
Array Data
Extract Saccades via an Ensemble of Methods Approach
Verify the Scale, Anisotropy and Direction of Weather Forecasts
Stability Analysis in Differentially Expressed Genes
Species Abundance Distributions with Independent-Species
Assumption
Maximum Likelihood Models for Species Abundance Distributions
Small Area Estimation using Fay-Herriot Models with Additive
Logistic Transformation
Small Area Estimation: Time-Series Models
Selecting Auxiliary Variables in Small Area Estimation (SAE)
Model
Small Area Estimation using Empirical Bayes without Auxiliary
Variable
Small Area Estimation for Continuous Zero Inflated Data
Small Area Estimation using Hierarchical Bayesian Method
Small Area Estimation with Measurement Error using Hierarchical
Bayesian Method
SAE with Measurement Error using HB under Beta Distribution
Small Area Estimation using Hierarchical Bayesian Method for Rao
Yu Model
Small Area Estimation using HB for Rao Yu Model under Beta
Distribution
Basic Unit Level Model using Hierarchical Bayesian Approach
Small Area Estimation using Hierarchical Bayesian under Zero
Inflated Binomial Distribution
Small Area Estimation Non-Parametric Based Nadaraya-Watson
Kernel
Small Area Estimation with Measurement Error
Stochastic Approximation Expectation Maximization (SAEM)
Algorithm
Compute MSPE Estimates for the Fay Herriot Model and Nested
Error Regression Model
Small Area Estimation with Cluster Information for Estimation of
Non-Sampled Areas
Small Area Estimation using Averaging Pseudo Area Level Model
Simulation Tools for Small Area Estimation
Transformations for Unit-Level Small Area Models
Shape Analysis for AI-Reconstructed Images
Encrypt and Decrypt Strings, R Objects and Files
Charts for Monitoring Clinical Trial Safety
Interactive Graphics for Monitoring Clinical Trial Safety
Election Vote Counting with Safety Features
Applied Statistics for Economics and Management with R
Clustering via Stochastic Approximation and Gaussian Mixture
Models
Variable Selection using Simulated Annealing
Akaike Information Criterion for Sparse Estimation
An Extension of the Taylor Diagram to Two-Dimensional Vector
Data
Functions Used for SAiVE Group Research, Collaborations, and
Publications
The (Adaptive) Elastic Net and Lasso Penalized Sparse Asymmetric
Least Squares (SALES) and Coupled Sparse Asymmetric Least
Squares (COSALES) using Coordinate Descent and Proximal
Gradient Algorithms
An Implementation of 'Salesforce' APIs Using Tidy Principles
Search Algorithms and Loss Functions for Bayesian Clustering
Selection and Misclassification Bias Adjustment for Logistic
Regression Models
A Collection of Techniques Correcting for Sample Selection Bias
Seamless Adaptive Multi-Arm Multi-Stage Enrichment
A Semi-Supervised Method for Prediction of Phenotype Event Times
Evaluating Geographic Sampling Bias in Biological Collections
Comparing and Visualizing Differences Between Surveys
Sample Design, Drawing & Data Analysis Using Data Frames
Sample Size Calculation for Various t-Tests and Wilcoxon-Test
Sample Size Calculation for the Comparison of Means or
Proportions in Phase III Clinical Trials
Sample Size Calculations for Complex Surveys
Power and Sample Size Calculation for the
Cochran-Mantel-Haenszel Test
Choosing Sample Size for Evaluating a Diagnostic Test
Calculate Sample Size for Various Scenarios
Sample Size and Power Calculations for Case-Control Studies
Sample Size Calculations for Normal Means
Calculating Sample Size Requirements when Estimating the
Difference Between Two Binomial Proportions
Draw Stratified Samples from the VADIR Database
Sampling Data Within Different Study Designs for Cluster
Randomized Trials
Optimal Stratification of Sampling Frames for Multipurpose
Sampling Surveys
Compare Human Performance to Sampling Algorithms
Sample Size for Validation of Risk Models with Binary Outcomes
SAM: Significance Analysis of Microarrays
Merge-Split Samplers for Conjugate Bayesian Nonparametric Models
Sensitivity Assessment to Unmeasured Confounding with Multiple
Treatments
Stochastic Augmentation of Matched Data Using Restriction
Methods
Statistical Models for the Unsupervised Segmentation of
Time-Series ('SaMUraiS')
Statistical Analysis of Network Data with R, 2nd Edition
Probabilistic Numerical Modelling of Sediment Properties
Downloads and Tidies the San Francisco Public Utilities
Commission Beach Water Quality Monitoring Program Data
Tools for Population Health Management Analytics
C/C++ Source Code to Trigger Address and Undefined Behaviour
Sanitizers
Keeps Track of all Performed Sanity Checks
Phonetic Transliteration Between Hindi and English
Illustrate the Flow of Information or Material
Create Dependency Wheels and Sankey Diagrams
Stratified Analysis with Nonparametric Covariable Adjustment
Fitting Shared Atoms Nested Models via Markov Chains Monte Carlo
Synthetic Data Generation for Imbalanced Learning in 'R'
Fitting Shared Atoms Nested Models via Variational Bayes
Color Palettes Based on the Works of Sanzo Wada
Group Ordinal Method for Multiple Criteria Decision-Making
Spatial Association of Different Types of Polygon
Import Air Quality Monitoring Data in a Fast and Easy Way
An R-GUI for Spatial Analysis of Surface Runoff using the
NRCS-CN Method
Simulation and Prediction with Seasonal ARIMA Models
Semi-Automatic Reporting of Ordinary Surveys
Base Tools for Semi-Automatic Reporting of Ordinary Surveys
Network-Based Interpretation of Changes in Compositional Data
XML Output Functions for Easy Creation of Moodle Questions
Snow Profile Analysis for Snowpack and Avalanche Research
Snow Profile Alignment, Aggregation, and Clustering
'python' Modules from Snowpack and Avalanche Research
Fit and Compare Species-Area Relationship Models Using
Multimodel Inference
Import ASCII Files Directly into R using Only a 'SAS' Input
Script
Data sets from "SAS System for Mixed Models"
Syntactically Awesome Style Sheets ('Sass')
Sensitivity Analysis Tools for Dependence and Asymptotic
Dependence
Scientific Analysis of Trial Errors (SATE)
Handling and Manipulating Remote Sensing Data
Visualisation and Analysis of Ocean Data Derived from Satellites
Grouping Satellite Bands by Spectral and Spatial Resolution
Spanning Trees Used for Network Inference
Inference and Learning in Stochastic Automata
Single-Cell RNA-Seq Gene Expression Recovery
Survival Analysis for AdVerse Events with VarYing Follow-Up
Times
Comparing Sequences with Non-Uniform Time Intervals
Small-Sample Adjustments for Wald Tests Using Sandwich
Estimators
Parameter-Free Domain-Agnostic Season Length Detection in Time
Series
Search Best ARIMA, GARCH, and MS-GARCH Model
Estimation of the Proportion of SB Explained by Confounders
Semiparametric Bayesian Gaussian Copula Estimation and
Imputation
Simple Blinding Index for Randomized Controlled Trials
Computing the Singular BIC for Multiple Models
Structural Bayesian Information Criterion for Graphical Models
Sparse Bayesian Learning for QTL Mapping and Genome-Wide
Association Studies
Scalable Bayes with Median of Subset Posteriors
Semidefinite Programming for Fitting Block Models of Equal Block
Sizes
Inference for a Generalised SBM with a Split Merge Sampler
Text Prediction via Stupid Back-Off N-Gram Models
Machine Learning with AdaBoost on Decision Stumps
Satorra-Bentler Scaled Chi-Squared Difference Test
Stable Balancing Weights for Causal Inference and Missing Data
Spatial Clustering with Hidden Markov Random Field using
Empirical Bayes
Spatial Transfer of Statistics among Spanish Census Sections
Scaffolding Interfaces to Packages in Other Programming
Languages
Compute scagnostics - scatterplot diagnostics
Scale Alignment for Between-Items Multidimensional Rasch Family
Models
Approximately Unbiased P-Values via Multiscale Bootstrap
Single-Case Data Analyses for Single and Multiple Baseline
Designs
An Automated Cell Type Annotation Tool for Single-Cell
RNA-Sequencing Data
Space-Time Anomaly Detection using Scan Statistics
Single Cell Transcriptomics-Level Cytokine Activity Prediction
and Estimation
User-Defined Classification of Raster Surfaces
Graph Neural Network-Based Framework for Single Cell Active
Pathways and Gene Modules Analysis
Shape-Constrained Additive Regression: a Maximum Likelihood
Approach
Optimization Toolkit for Pharmacokinetic-Pharmacodynamic Models
Create Scatter Plots with Marginal Density or Box Plots
Density Estimation and Visualization of 2D Scatter Plots
Identifies Mean, Variance, and Hierarchically Clustered
Biclusters
Single Cell Genomics for Enhancing Cell Composition Inference
from Bulk Genomics Data
Simultaneous Confidence Bands for the Mean of Functional Data
A Fast Tool for Single-Cell Spatially Variable Genes
Identifications on Large-Scale Data
Single-Cell Clustering using Autoencoder and Network Fusion
Single Cell Cluster-Based Annotation Toolkit for Cellular
Heterogeneity
Single-Cell Correlation Based Cell Type Annotation
Stochastic Complexity-Based Conditional Independence Test for
Discrete Data
The Self-Consistent, Competing Risks (SC-CR) Algorithms
Custom Visualizations & Functions for Streamlined Analyses of
Single Cell Sequencing
Easily Access and Maintain Time-Based Versioned Data
(Slowly-Changing-Dimension)
Deconvolution of Bulk RNA-Seq Data using Single-Cell RNA-Seq
Data as Reference
Single-Cell Decomposition using Hierarchical Autoencoder
Estimating Hierarchical Linear Models for Single-Case Designs
Differential Analysis of Intercellular Communication from
scRNA-Seq Data
Applying Partitioning Around Medoids to Single Cell Data with
High Number of Cells
Single Cell Entropy Analysis of Gene Heterogeneity in Cell
Populations
Stellar CharactEristics Pisa Estimation gRid
Stellar CharactEristics Pisa Estimation gRid for Binary Systems
Clear Monitor and Graphing Software Processing Gaussian .log
File
Marker-Based Cell Type Purification for Single-Cell Sequencing
Data
Supervised Component Generalized Linear Regression
Measuring Cell Type Similarity with Gene Ontology in Single-Cell
RNA-Seq
Analyse Citation Data from Google Scholar
Retrieve, Harmonise and Map Open Data Regarding the Italian
School System
Functions and Datasets for Math Used in School
Tools for Analyzing Factorial Experiments
The Entire Transcript from the Office in Tidy Format
Schloss Lab Tools for Reproducible Microbiome Research
Standardized Climate Indices Such as SPI, SRI or SPEI
Single-Cell Integrator and Batch Effect Remover
Colour Palettes Based on the Scientific Colour-Maps
Tools Developed by the NCEAS Scientific Computing Support Team
Data Sets from Design and Analysis of Experiments and
Observational Studies using R
Highly Customizable 'rmarkdown' Theme for Scientific Reporting
Visualize 'Reproducibility' and 'Replicability' in a Comparison
of Scientific Studies
Extra Recipes Steps for Dealing with Omics Data
A Semi-Supervised Category Identification and Assignment Tool
Interpretation of Heterogeneous Single-Cell Gene Expression Data
Guiding the Integration of Multiple Single-Cell RNA-Seq Datasets
Scientific Graphing Functions for Factorial Designs
Summarize Data for Scientific Publication
Upgraded 'Rmarkdown' Themes for Scientific Writing
Single-Cell Imputation using Subspace Regression
Maximum-Likelihood Perfect Phylogeny Inference at Scale
Provides Some Useful Functions for Making Statistical Tables
Inferring Functional Gene Co-Expression Networks from Single
Cell Data
R Toolbox for Unsupervised Spectral Clustering
Fitting Discrete Distribution Models to Count Data
Aligning Ontology Annotation Across Single Cell Datasets with
'scOntoMatch'
Spectral Clustering-Based Method for Identifying B Cell Clones
Score Projection Between in 'Vivo' and in 'Vitro' Datasets
A Package to Score Behavioral Questionnaires
Score Test Integrated with Empirical Bayes for Association Study
Score Matching Estimation by Automatic Differentiation
Peak Functions for Peak Detection in Univariate Time Series
Implementation of SCORE, SCORE+ and Mixed-SCORE
A Collection of Scoring Functions for Assessing Point Forecasts
Scoring Rules for Parametric and Simulated Distribution
Forecasts
Utilities for Scoring and Assessing Predictions
Semi-Supervised Calibration of Risk with Noisy Event Times
Single Cell Oriented Reconstruction of PANDA Individual
Optimized Networks
Inferring Developmental Chronologies from Single-Cell RNA
Sequencing Data
The Scott-Knott Effect Size Difference (ESD) Test
Implements the Scout Method for Covariance-Regularized
Regression
Functions for Planning and Managing Inventories in a Supply
Chain
Prediction Intervals for Synthetic Control Methods with Multiple
Treated Units and Staggered Adoption
Plot Function for Single-Case Data Frames
Single Cell Poisson Probability Paradigm
Generate Publication Ready Visualizations of Single Cell
Transcriptomics Data
Estimate Ploidy and Absolute Copy Number from Single Cell
Sequencing
These Functions Fetch and Extract Text Content from Specified
Web Pages
Screen and clean variable selection procedures
'ScreeNOT': MSE-Optimal Singular Value Thresholding in
Correlated Noise
Take Screenshots (Screen Capture) from R Command
Analysis of High-Dimensional Categorical Data Such as SNP Data
An Accurate Simulator for Single-Cell RNA Sequencing Data
Get the Location of the R Script that is Being Sourced/Executed
Determine a Script's Filename from Within the Script Itself
Simulating the Evolution of Biological Sequences
Performing Single-Cell RNA-Seq Imputation by Using Mean/Median
Imputation
A Pipeline to Process Single Cell RNAseq Data
Single Cell RNA Sequencing Data Analysis Tools
Animate 'shiny' Elements when They Scroll into View using the
'scrollrevealjs' Library
Robust Supervised Hierarchical Identification of Single Cells
Key Derivation Functions for R Based on Scrypt
A Point Pattern Simulator for Spatial Cellular Data
In-Silico Knockout Experiments from Single-Cell Gene Regulatory
Networks
Construct and Compare scGRN from Single-Cell Transcriptomic Data
Extensions for Synthetic Controls Analysis
Variance Stabilizing Transformations for Single Cell UMI Data
Diving Calculations and Decompression Models
Utility Functions for Single-Cell RNA Sequencing Data
Balancing Multiclass Datasets for Classification Tasks
Shrinkage Discriminant Analysis and CAT Score Variable Selection
Social Dynamics and Complexity in the Ancient Mediterranean
Datasets and Functions for 'Sampling: Design and Analysis, 3rd
Edition'
Create and (Interactively) Modify Nested Hierarchies
Tools for Statistical Disclosure Control in Research Data
Centers
Statistical Disclosure Control Methods for Anonymization of Data
and Risk Estimation
Statistical Disclosure Control for Spatial Data
Methods for Statistical Disclosure Control in Tabular Data
Simulation and Inference for Stochastic Differential Equations
Subgroup Discovery with Evolutionary Fuzzy Systems
Statistical Tools for Toroidal Diffusions
Filtering and Assessing the Sample Size of Tracking Data
Species Distribution Modelling Predictor Datasets
Spatial and Spatiotemporal SPDE-Based GLMMs with 'TMB'
Create Virtual Species for Species Distribution Modelling
M-Estimator for Threshold Spatial Dynamic Panel Data Model
Scale-Dependent Hyperpriors in Structured Additive
Distributional Regression
Measures of Risk for the Compound Poisson Risk Process with
Diffusion
Visualizing the Standard Deviation as the Size of a Prism
Semi-Definite Quadratic Linear Programming Solver
Estimating the Sufficient Dimension Reduction Subspaces in Time
Series
Spatial Data Science Complementary Features
Data Quality Checks for Study Data Tabulation Model (SDTM)
Datasets
Scalable Exact Algorithm for Large-Scale Set-Based
Gene-Environment Interaction Tests
Spatial Exploration of ArcHaeological Objects in R Shiny
A Single Cell Transcriptomics Based Deconvolution Pipeline for
Leukemia
Seamless Dose Escalation/Expansion with Adaptive Randomization
Scheme
Seasonal Analysis and Graphics, Especially for Climatology
Seasonality Variation Plots of Stock Prices and Cryptocurrencies
Graphical User Interface for Seasonal Adjustment
Validation of Seasonal Weather Forecasts
Statistical Estimation of Cluster Parameters
Sampling Design for Spatially Explicit Capture-Recapture
Share Sensitive Information in R Packages
Cryptographic Hash, Extendable-Output and Base64 Functions
Encrypt Text Using a Shifting Substitution Cipher
Spatially Explicit Capture-Recapture for Linear Habitats
Several Examined and Concealed States-Dependent Speciation and
Extinction
Consistent Economic Trend Cycle Decomposition
Handling of Data from the Clinical Data Management System
'secuTrial'
Simulation of Sediment Archived Climate Proxy Records
Model Visualisation Toolbox for 'easystats' and 'ggplot2'
Access Data from the SeeClickFix Web API
View Colors Used in R Objects in the Console
Seed Germination and Seedling Growth Indexes
Seeded Sequential LDA for Topic Modeling
Find Matches to Canonical SiRNA Seeds in Genomic Features
Hydro and Thermal Time Seed Germination Models in R
Regression Analysis for Seed Germination as a Function of
Temperature
Estimate Hidden Inputs using the Dynamic Elastic Net
Simplified Fetching and Processing of Microarray and RNA-Seq
Data
SEER and Atomic Bomb Survivor Data Analysis Tools
Bivariate Segmentation/Clustering Methods and Tools
Sequence Generalization Through Similarity Network
Environmental Inequality Indices Based on Segregation Measures
Determine Event Boundaries in Event Segmentation Experiments
Regression Models with Break-Points / Change-Points Estimation
(with Possibly Random Effects)
Similarity-Based Segmentation of Multidimensional Signals
Metrics for Assessing Segmentation Accuracy for Geospatial Data
Multiple Change-Point Detection for High-Dimensional GARCH
Processes
Modeling Non-Continuous Linear Responses of Ecological Data
Segregation Analysis for Variant Interpretation
Tests for Segregation Distortion in Polyploids
Sequence Globally Unique Identifier (SEGUID) Checksums
Predict Information Cascade by Self-Exciting Point Process
Fast Rolling Functions for Seismology using 'Rcpp'
An Information About Deputies and Votings in Polish Diet from
Seventh to Eighth Term of Office
KoNLP static dictionaries and Sejong project resources
Post-Selection Inference for Generalized Linear Models
Determines Species Probabilities Based on Functional Traits
Analysis of Field and Laboratory Foraging
A General Algorithm to Enhance the Performance of Variable
Selection Methods in Correlated Datasets
Analysis of Selection Index in Plant Breeding
Calculates Bounds for the Selection Bias for Binary Treatment
and Outcome Variables
A Tool for Calculation and Optimization of the Expected Gain
from Multi-Stage Selection
Estimation of Weight Functions in Meta Analysis
Translate CSS Selectors to XPath Expressions
Select Point Pattern Models Based on Minimum Contrast, AIC and
Goodness of Fit
Concise, Lazy and Reliable Wrapper for 'chromote' and 'selenium'
R Client Implementing the W3C WebDriver Specification
A Structural Equation Embedded Likelihood Framework for Causal
Discovery
Genotype Probabilities in Intermediate Generations of Inbreeding
Through Selfing
Dashboard with Fomantic UI Support for Shiny
A Data-Driven Similarity Kernel on Probability Spaces
Structural Equation Modeling with Deep Neural Network and
Machine Learning
Automatic Calculation of Effects for Piecewise Structural
Equation Models
Influential Cases in Structural Equation Modeling
Extracting Semantic Motifs from Textual Data
Network Analysis and Causal Inference Through Structural
Equation Modeling
Helper Functions for Structural Equation Modeling
Use Inverse Probability Weighting to Estimate Treatment Effect
for Semi Competing Risks Data
Hierarchical Models for Parametric and Semi-Parametric Analyses
of Semi-Competing Risks Data
Multivariate ANalysis of VAriance with Ridge Regularization for
Semicontinuous High-Dimensional Data
Identifiability of Linear Structural Equation Models
Measure Dependence Between Categorical and Continuous Variables
Solve Semi-Parametric Estimation by Implicit Profiling
Building and Estimating Structural Equation Models
Copula Based Cox Proportional Hazards Models for Dependent
Censoring
Likelihood-Based Confidence Interval in Structural Equation
Models
Likelihood Ratio Test P-Values for Structural Equation Models
Monte Carlo Confidence Intervals in Structural Equation Modeling
Bayesian Structural Equation Modeling in Multiple Omics Data
Integration
Constructing and Interacting with Databases of Presentations
Methods and Measures for Semantic Network Analysis
An Automated Cleaning Tool for Semantic and Linguistic Data
Dictionaries for the 'SemNetCleaner' Package
Path Diagrams and Visual Analysis of Various SEM Packages'
Output
Customizing Structural Equation Modelling Plots
A Tool for Sensitivity Analysis in Structural Equation Modeling
Semiparametric Estimation of Stochastic Frontier Models
Useful Tools for Structural Equation Modeling
Recursive Partitioning for Structural Equation Models
Enable Cross-Study Analysis of 'CDISC' 'SEND' Datasets
Automatic Stacked Ensemble for Regression Tasks
Sensitivity Analysis Tools for Regression Models
Sensitivity Analysis for Irregular Assessment Times
Access to 'Sensibo Sky' API V2 for Air Conditioners Remote
Control
Sensitivity Analysis for Comparative Methods
Global Sensitivity Analysis of Model Outputs and Importance
Measures
Sensitivity Analysis for 2x2xk Tables in Observational Studies
A Calibrated Sensitivity Analysis for Matched Observational
Studies
Sensitivity Analysis for Case-Control Studies
Sensitivity Analysis for Full Matching in Observational Studies
Sensitivity Analysis for Observational Studies with Multiple
Outcomes
Sensitivity Analysis in Observational Studies
Sensitivity Analysis for Observational Studies Using Weighted
M-Statistics
Parametric Estimation and Sensitivity Analysis of Direct and
Indirect Effects
Computation of Variance-Based Sensitivity Indices
Simultaneous Model-Based Clustering and Imputation via a
Progressive Expectation-Maximization Algorithm
Estimating Specificity at Controlled Sensitivity, or Vice Versa
Thurstonian Models for Sensory Discrimination
Sensitivity Analysis for Stratified Observational Studies
Text Tokenization using Byte Pair Encoding and Unigram Modelling
Simple Sentiment Analysis Using Deep Learning
Parsimonious Mixtures of MSEN and MTIN Distributions
An Integrated Framework for Textual Sentiment Time Series
Aggregation and Prediction
Tools for Joint Sentiment and Topic Analysis of Textual Data
Shrinkage for Extreme Partial Least-Squares (SEPaLS)
Maximum Likelihood Estimation and Likelihood Ratio Test
Functions for Separable Variance-Covariance Structures
Statistical Estimation of Phenological Parameters
Sepkoski's Fossil Marine Animal Genera Compendium
Simple Method to Detect Compositional Changes in Genomic
Sequences
Sequence Alignment and Visualization Tool
Sequential Allocation for Prospective Experiments
Simulation and Group Sequential Monitoring of Randomized
Two-Stage Treatment Efficacy Trials with Time-to-Event
Endpoints
Sequential Experimental Design via Matching on-the-Fly
A Tool to Associate FASTA Sequences and Features
Miscellaneous Tools for Sequence Analysis
Mixture Hidden Markov Models for Social Sequence Data and Other
Multivariate, Multichannel Categorical Time Series
Imputation of Missing Data in Sequence Analysis
Biological Sequences Retrieval and Analysis
Network Module-Based Model in the Differential Expression
Analysis for RNA-Seq
Efficiently Read Sequence Data (VCF Format, BCF Format, METAL
Format and BGEN Format) into R
Group Sequential Design Class for Clinical Trials
Generate RNA-Seq Data from Gene-Gene Association Networks
Radix Tree and Trie-Based String Distances
Exact Bayesian Model Selection Methods for the Sparse Normal
Sequence Model
Exact Sequential Analysis for Poisson and Binomial Data
Observational Database Study Planning using Exact Sequential
Analysis for Poisson and Binomial Data
Tools to Transform and Query Data with Apache Drill
Infrastructure for Ordering Objects Using Seriation
Lower Confidence Bounds for Binomial Series System
Estimating Infection Rates from Serological Data
Model Infectious Disease Parameters from Serosurveys
Smooth Effects on Response Penalty for CLM
Bayesian Modelling of Raman Spectroscopy
Analyze Data Generated from Syntech Servosphere Trials
A Simple HTTP Server to Serve Static Files or Dynamic Documents
Spatially Explicit Structural Equation Modeling
Raster Randomization for Null Hypothesis Testing
SETAR-Tree - A Novel and Accurate Tree Algorithm for Global Time
Series Forecasting
Functions for Set-Theoretic Multi-Method Research and Advanced
QCA
Set (Normal) Random Number Generator and Seed
Sets, Generalized Sets, Customizable Sets and Intervals
Group Testing Procedures for Signal Detection and
Goodness-of-Fit
'Rstudio' Addin to Sync Settings and Keymaps
Customise 'Shiny' Disconnected Screens and Error Messages
Advanced Methods for Stochastic Frontier Analysis
Read/Write Simple Feature Objects ('sf') with 'Apache' 'Arrow'
Spatial Centrality and Dispersion Statistics
Constrained Triangulation for Simple Features
Sequential Full Factorial-Based Latin Hypercube Design
Converts Between R Objects and Simple Feature Objects
Straightforward Filtering Index for AP-MS Data Analysis (SFINX)
Streamlines the Process of Fitting Areal Spatial Models
A Package for Analyzing Skew Factor Models
San Francisco International Airport Monthly Air Passengers
Utilities from 'Seminar fuer Statistik' ETH Zurich
Functions for Systems Factorial Technology Analysis of Data
Classes and Methods for Simple Feature Objects that Have a Time
Column
Space Filling Based Tools for Data Mining
Modern Classes for Tracking and Movement Data
Aid Querying 'nomis' and 'Office for National Statistics Open
Geography' APIs
Extract Information from Google's "Popular Times"
Survival Extension of the Generalized Berk-Jones Test
Stochastic Gradient Descent for Scalable Estimation
Inference with Stochastic Gradient Descent
An Object-Oriented Framework for Geostatistical Modeling in S+
Fit a GLM (or Cox Model) with a Combination of Lasso and Group
Lasso Regularization
Fitting Semi-Parametric Generalized log-Gamma Regression Models
Sequential Generalized Likelihood Ratio Decision Boundaries
Proposed by Shih, Lai, Heyse and Chen (2010,
<doi:10.1002/Sim.4036>)
Solves a Generic Stochastic Growth Model with a Representative
Agent
Sparse Gaussian Markov Random Field Mixtures for Anomaly
Detection
Simple Geographical Operations (with OSGB36)
Student Growth Percentiles & Percentile Growth Trajectories
Exemplar Data Sets for Student Growth Percentiles (SGP) Analyses
Sparse Group Partial Least Square Methods
Sparse Group Penalized Regression for Bi-Level Variable
Selection
Calculate Second-Generation p-Values and Associated Measures
Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control
Seasonal Generalized Space Time Autoregressive (S-GSTAR) Model
Selenium Plugin to Manage Multi Level Shadow Elements on Web
Page
Computation of Entropy Measures and Relative Loss
Approximation of the Shapley Values Based on Experimental
Designs
Functions for Plotting Graphical Shapes, Colors
Change-Point Estimation using Shape-Restricted Splines
M-Estimation of Shape for Data with Missing Values
Collection and Analysis of Otolith Shape Data
Shape Selection for Landsat Time Series of Forest Dynamics
Weighted Mean SHAP for Feature Selection in ML Grid and Ensemble
Multivariate Outlier Explanations using Shapley Values and
Mahalanobis Distances
Shapley Value Regression for Relative Importance of Attributes
Prediction Explanation with Dependence-Aware Shapley Values
Shark Demographic Analyses Using Leslie Matrix Models
Stability-enHanced Approaches using Resampling Procedures
Statistical Significance of the Sharpe Ratio
Penalized Data Sharpening for Local Polynomial Regression
Estimating Regulatory Scores and Identifying ATAC-STARR Data
Models and Data Sets for the Study of Species-Area Relationships
Estimate the Shattering Coefficient for a Particular Dataset
Tools to Support the Sheffield Elicitation Framework
Builds Chronologies from Oxygen Isotope Profiles in Shells
Bivalve Growth and Trace Element Accumulation Model
Graphical Displays for Structured Problem Solving and Diagnosis
Building a Concordance of Terms in a Series of Texts
Date/Time Classes Based on Jalali Calendar
Exactly Computing the Tail of the Poisson-Binomial Distribution
Fast Enrichment Analysis via Circular Permutations
Inference in Regressions with Shift-Share Structure
Lorem-Ipsum-Like Helpers for Fast Shiny Prototyping
Benchmark the Performance of 'shiny' Applications
Launch a Shiny Application without Opening R or RStudio
Optional Login and Registration Module System for ShinyApps
Basic Routing for Shiny Web Applications
'WebVR' Data Visualizations with 'RStudio Shiny' and 'Mozilla
A-Frame'
Easily Create Pretty Popup Messages (Modals) in 'Shiny'
Graphical User Interface ('shiny' App) for 'brms'
Find Out Information About a User's Web Browser in 'Shiny'
Busy Indicators and Notifications for 'Shiny' Applications
Combined Slider and Numeric Input for 'Shiny'
A Wrapper of the 'React' Library 'Chakra UI' for 'Shiny'
Modular Cohort-Building Framework for Analytical Dashboards
Create 'shiny' Applications for Cox Proportional Hazards Models
Add Loading Animations to a 'shiny' Output While It's
Recalculating
Create Interactive Network Visualizations in R and 'shiny'
Add More 'AdminLTE2' Components to 'shinydashboard'
Simple Authentification for 'shiny' Applications
Show a Nice Message When a 'Shiny' App Disconnects or Errors
Add a Download Button to a 'shiny' Plot or 'plotly'
Customize Your Web Apps with Fancy Effects
A Configurable 'shiny' Portal for Sharing Analysis of Molecular
Expression Data
A Server-Side File System Viewer for Shiny
Use Interdependent Filters on Table Columns in Shiny Apps
Display 'HTML' Elements on Full Screen in 'Shiny' Apps
Custom Components for Shiny Applications
Easily Add Markdown Help Files to 'shiny' App Elements
Progress Bars for Downloads in 'shiny' Apps
Shiny App - Generate a Pdf Invoice with 'Rmarkdown'
Item Response Theory Analysis with a 'shiny' Application
'jQuery UI' Interactions and Effects for Shiny
Easily Improve the User Experience of Your Shiny Apps in Seconds
An Interactive Application for ODE Parameter Inference Using
Gradient Matching
Record Everything that Happens in a 'Shiny' Application
Seamlessly Integrate 'Lottie' Animations into 'shiny'
Applications
Bootstrap Landing Home Pages for Shiny Applications
Authentication Management for 'Shiny' Applications
Implement Material Design in Shiny Applications
Compare and Merge Two Files with a 'Shiny' App
Export Domain Logic from Shiny using Meta-Programming
A Framework for Building, Managing, and Stitching 'shiny'
Modules into Reproducible Workflows
Interactive 'shiny' Dashboard for 'nlmixr2'
Compare Supervised Machine Learning Models Using Shiny App
Mobile Ready 'shiny' Apps with Standalone Capabilities
Molecular Biology Visualization Tools for 'Shiny' Apps
Construct Complex Filtering Queries in 'Shiny'
'RStudio' Addin for Building Shiny Apps per Drag & Drop
An Intuitive Way of Providing Star Rating in a 'shiny' App
Gadget to Use the Data Preprocessing 'recipes' Package
Interactively
'shiny' Application to Use the Stochastic Block Model
Capture Screenshots of Entire Pages or Parts of Pages in 'Shiny'
Shiny Searchbar - An Input Widget for Highlighting Text and More
Creates an Executable Shortcut for Shiny Applications
Interactive Plotting for Mathematical Models of Infectious
Disease Spread
Interactive Visual and Numerical Diagnostics and Posterior
Analysis for Bayesian Models
Secure in-Browser Storage for 'Shiny' Inputs, Outputs and
Variables
Explore Temporal and Other Phylogenetic Signals
Functions to Minimize Bonehead Moves While Working with 'shiny'
Update Browser Window Title in 'shiny' Session
'Shiny' Application for Whole Genome Duplication Analysis
An Interactive Wizard to Design, Build, and Deploy R Packages
Demo Presentation
Miscellaneous Functions from Alexey Shipunov
Slope Heuristic for Block-Diagonal Covariance Selection in High
Dimensional Gaussian Graphical Models
Get 'Shopify' Ads Data via the 'Windsor.ai' API
Shoreline Dating Coastal Stone Age Sites
Useful Shortcuts to Interact with 'RStudio' Scripts
Procedures Based on Item Response Theory Models for the
Development of Short Test Forms
Convert a 'SpatialLinesDataFrame' -Class Object to an
'igraph'-Class Object
Global, Parameterwise and Joint Shrinkage Factor Estimation
Efficient Bayesian Inference for Dynamic Survival Models with
Shrinkage
Approximate Bayesian Regularization for Parsimonious Estimates
Efficient Bayesian Inference for Time-Varying Parameter Models
with Shrinkage
Efficient Bayesian Inference for TVP-VAR-SV Models with
Shrinkage
Accessing the Flipside Crypto ShroomDK API
The Shuffle Estimator for Explainable Variance
Confidence Intervals Compared via Shuffling
Systematic Identification of Bimodally Expressed Genes Using
RNAseq Data
Analysis of Single-Cell Viral Growth Curves
Fetch Data from Plataforma +Brasil (SICONV)
Subgroup Identification Based on Differential Effect Search
Substitution and Indel Distances to Infer Evolutionary
Relationships
Sieve Methods for Non-Stationary Time Series
Signal Extraction Approach for Sparse Multivariate Response
Regression
Nonparametric Estimation by the Method of Sieves
Sieve Analysis Methods for Proportional Hazards Models
Laboratory Sieve Test Reporting Functions
Estimate the Parameters of a Discrete Crisis-Bargaining Game
Interface to 'Sigma.js' Graph Visualization Library
Extract, Analyze and Visualize Mutational Signatures for Genomic
Variations
Similarity Identification in Gene Expression
Cell Type Identification and Discovery from Single Cell Gene
Expression Data
Extract the Signed Backbones of Weighted Networks
Statistical Significance Marks on Boxplots
Consistent Significance Controlled Variable Selection in
Generalized Linear Regression
Quality Control Metrics for Gene Signatures
Succinct and Correct Statistical Summaries for Reports
Identify and Visualize Significantly Responsive Branches in a
Phylogenetic Tree
Statistical Inference in High Dimensional Regression
Superior Identification Index and Its Extensions
Subgroup Identification with Latent Factor Structure
Statistical Inference of Large-Scale Gaussian Graphical Model in
Gene Networks
Common Forms for Complex Hierarchical and Relational Data
Structures
Simultaneous Inference for Linear Models
Conditional Process Analysis (CPA) via Structural Equation
Modeling (SEM) Approach
Simulation-Based Bias Analysis for Observational Studies
Simulation of Piecewise Linear Fuzzy Numbers
Genotype Simulations for Rare or Common Variants Using
Haplotypes from 1000 Genomes
Simulate Outcomes Using Spatially Dependent Design Matrices
Find Clinical Trial Sites Under-Reporting Adverse Events
Simulation-Based Inference Methods for Infectious Disease Models
Simultaneous Inference for Diversity Indices
Implements Computerized Adaptive Testing Simulations
Simulating Longitudinal Data with Causal Inference Applications
Simulate Cognitive Diagnostic Model ('CDM') Data
Simultaneous Comparisons for Multiple Endpoints
Simulation of Correlated Data with Multiple Variable Types
Including Continuous and Count Mixture Distributions
Safe Implementation of Monte Carlo Tests
Simulate Data from a DAG and Associated Node Information
Simulation of Fisher Bingham and Related Directional
Distributions
Structure for Organizing Monte Carlo Simulation Designs
Modeling and Assessing Similarity of Drug Dissolutions Profiles
Assessment of Data Trial Distributions According to the
Carlisle-Stouffer Method
Simulation of Ecological (and Other) Dynamic Systems
A Modular Framework for Statistical Simulations in R
Data Simulation for Life Science and Breeding
Constrained Single Index Model Estimation
Tools for Simulation of Evapotranspiration of Field Crops and
Soil Water Balance
Simulation of Legal Exemption System for European Cartel Law
SIMEX- And MCSIMEX-Algorithm for Measurement Error Models
Generate Simulated Data for IRT-Enabled Exams
Boosting Method for High-Dimensional Error-Prone Data
Simulate and Model Family Pedigrees with Structured Founders
Simulate Models Based on the Generalized Linear Model
Simulated Survival and Hazard Analysis for Time-Dependent
Exposure
Set-Based Inference for Multiple Interval-Censored Outcomes
Simulating Oncology Trials using an Illness-Death Model
A Framework for Data-Driven Stochastic Disease Spread
Simulations
Stochastic Simulation for Information Retrieval Evaluation:
Effectiveness Scores
Analysis via Simulation of Interrupted Time Series (ITS) Data
Simulation-Based Landscape Construction for Dynamical Systems
Estimation and Inference for General Time Series Regression
Helper Methods for 'simmer' Trajectories
Metrics (with Uncertainty) for Simulation Studies that Evaluate
Statistical Methods
Simulate Somatic Mutations in Cancer Genomes from Mutational
Processes
Subnetwork Integration for Multi-Modal Signatures
Simulation of Event Histories for Multi-State Models
Simulation of Correlated Data with Multiple Variable Types
Statistical Inference for Systems of Ordinary Differential
Equations using Separable Integral-Matching
Flexible Framework for Developing Spatial Interaction Models
Simulate and Plot Estimates from Cox Proportional Hazards Models
Interface to Use the Modelling Framework 'SIMPLACE'
OLS, Moderated, Logistic, and Count Regressions Made Simple
Access Color Names Using a Standardized Nomenclature
Simple Graph Data Types and Basic Algorithms
Simple Multilayer Perceptron Neural Network
Simulation of Pleiotropic, Linked and Epistatic Phenotypes
Simple Engine for Generating Reports using R
Set Up R Source Code Files for Use on Multiple Machines
Mathematical Formulas and Character Recognition
Regression Analysis of Proportional Data Using Simplex
Distribution
Provides Tools for Working with General Simplicial Complexes
Flexible and Robust Agreement and Reliability Analyses
'AlphaSimR' Extension for Simulating Honeybee Populations and
Breeding Programmes
Simulation of Complex Synthetic Data Information
Power Analysis for Generalised Linear Mixed Models by Simulation
Simulation of Recurrent Event Data for Non-Constant Baseline
Hazard
Simulation of Multivariate Linear Model Data
Simulate the Effect of Management Policies on Restoration
Efforts
Simulating Multistate Movements in River/Heterogeneous
Landscapes
Tools for Simulation Studies in Parallel
Nonparametric Simulation of RNA-Seq Data
Test Surveys by Simulating Spatially-Correlated Populations
Data Transformation or Simulation with Empirical Covariance
Matrix
Datetimes as Integers for Discrete-Event Simulations
Simulate Longitudinal Dataset with Time-Varying Correlated
Covariates
Conduct Simulation Studies with a Minimal Amount of Source Code
Simultaneous Clustering and Factorial Decomposition of Three-Way
Datasets
Simulation with Kernel Density Estimation
Simularia Tools for the Analysis of Air Pollution Data
A Constrained L1 Minimization Approach for Estimating Multiple
Sparse Gaussian or Nonparanormal Graphical Models
Simulate SNP Matrix, Phenotype and Genotypic Effects
Simulation Tools for Planning Vitamin D Studies
An Enhanced Chart for Simple and Truthful Representation of
Single Observations over Multiple Classes
Conditional Least Squared (CLS) Method for the Model SINAR(1,1)
Sparse Identification of Nonlinear Dynamics
Package Development Documentation and Namespace Management
A Calculator for Single-Case Effect Sizes
A Universal Differential Expression Prediction Tool for
Single-Cell and Spatial Genomics Data
Sum of Independent Non-Identical Binomial Random Variables
Reliability and Relative Efficiency in Locally-Dependent
Measures
Collection of Household Survey Packages Conducted by IBGE
A Phylogenetic Simulator for Reticulate Evolution
Statistical Analysis to Identify Isotope Incorporating MAGs
An R Package for Single-Index Quantile Regression
Functions for Calculating Daily Solar Radiation and
Evapotranspiration
Finding Feedback Effects in SEM and Testing for Their
Significance
Hybrid FA-CFA for Controlling Acquiescence in Restricted
Factorial Solutions
Compartmental Susceptible-Infectious-Recovered (SIR) Model of
Community and Household Infection
Supplementary Item Response Theory Models
Sliced Inverse Regression with Thresholding
Select Intervals Suited for Functional Regression
Real-Time PCR Data Sets by Sisti et al. (2010)
A Collection of Utility Function from the Inserm/Inria SISTM
Team
Some Invalid Some Valid Instrumental Variables Estimator
Association Measurement Through Sliced Independence Test (SIT)
Super Imposition by Translation and Rotation Growth Curve
Analysis
Two-Level Sample Selection with Optimal Site Replacement
Automatically Generate _site.yml File for 'R Markdown'
A Spatial Model of Intra-Tumor Heterogeneity
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header
Files
Format a number to a string with SI prefix
Satellite Image Time Series Analysis for Earth Observation Data
Cubes
Data Wrangling and Automated Reports from 'SIVIGILA' Source
Six Sigma Tools for Quality Control and Improvement
Estimating the Sizes of Populations at Risk of HIV Infection
from Multiple Data Sources Using a Bayesian Hierarchical Model
Data and Variable Transformation Functions
Data Visualization for Statistics in Social Science
Scalable Joint Species Distribution Modeling
Collection of Convenient Functions for Common Statistical
Computations
Convert 'sjPlot' HTML-Tables to R 'data.frame'
SNP-Set (Sequence) Kernel Association Test
Utilities for SNP-Based Kinship Analysis
Handling Heteroskedasticity in the Linear Regression Model
Densities and Sampling for the Skellam Distribution
Sketching of Data via Random Subspace Embeddings
The Skew Hyperbolic Student t-Distribution
Scale Mixture of Skew-Normal Linear Mixed Models
Estimation for Scale-Shape Mixtures of Skew-Normal Distributions
Estimate Sample Sizes for Group Comparisons with Skewed
Distributions
Fast Online Changepoint Detection for Temporally Correlated Data
The Skillings-Mack Test Statistic for Block Designs with Missing
Observations
A Bayesian Hierarchical Model that Controls for Non-Adherence in
Mobile Menstrual Cycle Tracking
Measuring Agreement Using Sklar's Omega Coefficient
A Super K-Nearest Neighbor (SKNN) Classification Algorithm
Design of Experiments Suite: Generate and Evaluate Optimal
Designs
Data Analysis and Visualization for Skyscape Archaeology
Send Messages, Images, R Objects and Files to 'Slack'
Channels/Users
S-LASSO Estimator for the Function-on-Function Linear Regression
Statistical Learning for Big Dependent Data
Structural Modeling for Multiple Latent Class Variables
Semiparametric Latent Class Analysis of Recurrent Events
Sparse Latent Class Model for Cognitive Diagnosis
Estimation and Use of the Quantile-Based Skew Logistic
Distribution
Software for Analyzing Limiting Dilution Assays
Wrapper Functions Around 'Sleeper' (Fantasy Sports) API
Semiparametric Likelihood Estimation with Errors in Variables
Statistical Learning Based Estimation of Mutual Information
A Simulation Framework for Spatiotemporal Population Genetics
Data Sets from Ramsey and Schafer's "Statistical Sleuth (2nd
Ed)"
Data Sets from Ramsey and Schafer's "Statistical Sleuth (3rd
Ed)"
Fitting a Bayesian Sparse Latent Factor Model in Gene Expression
Analysis
Sparse Logistic Functional Principal Component Analysis
Bayesian Model Selection with Suspected Latent Grouping Factors
Maximin-Distance (Sliced) Latin Hypercube Designs
Create Interactive Carousels with the 'JavaScript' 'Slick'
Library
Single Cell Linkage by Distance Estimation is SLIDE
Compare Raster Images Side by Side with a Slider
Singular Linear Models for Longitudinal Data
Sparse Linear Method to Predict Ratings and Top-N
Recommendations
Stepwise Linear Models for Binary Classification Problems under
Youden Index Optimisation
Stochastic Linear Ornstein-Uhlenbeck Comparative Hypotheses
A Slow Version of the Rapid Automatic Keyword Extraction (RAKE)
Algorithm
Discrete Prolate Spheroidal (Slepian) Sequence Regression
Smoothers
Presidential Election Data of "Sri Lanka" from 1982 to 2015
Optimal Regression Design under the Second-Order Least Squares
Estimator
Scalable and Robust Latent Trajectory Class Analysis
Smoothing Methods for Nonparametric Regression and Density
Estimation
Flexible Multidimensional Scaling and 'smacof' Extensions
Statistical Methods for the Analysis of Case-Control Point Data
Visual Documentation for Data Preprocessing
Statistical Modeling of Animal Movements
Bayesian Set of Best Dynamic Treatment Regimes and Sample Size
in SMARTs for Binary Outcomes
Sequential Multiple Assignment Randomized Trial Design
Tools for Accessing Various Datasets Developed by the Foundation
SmarterPoland.pl
Sample Size for SMART Designs in Non-Surgical Periodontal Trials
Access and Write 'Smartsheet' Data using the 'Smartsheet' API
2.0
Fast Multivariate Analyses of Big Genomic Data
Fast and Robust Surrogate Variable Analysis
(Standardised) Major Axis Estimation and Testing Routines
Sparse Multiple Canonical Correlation Network Analysis Tool
Multiple Imputation of Covariates by Substantive Model
Compatible Fully Conditional Specification
Data Sets for Statistical Methods in Customer Relationship
Management by Kumar and Petersen (2012)
Data to Accompany Smithson & Merkle, 2013
Perform Structural Missing Data Investigations
Identification of Somatic Mutation-Driven Immune Cells
Build 'Docker Images' in 'Amazon SageMaker Studio' using 'Amazon
Web Service CodeBuild'
Filtering Algorithms for the State Space Models on the Stiefel
Manifold
Hidden Markov Random Field for Spatial Transcriptomic Data
Stochastic Modelling for Systems Biology
Statistical Methods for Interval-Censored Data
Statistical Modelling for Infectious Disease Management
Spatial Misalignment: Interpolation, Linkage, and Estimation
Sequential Method in Leading Evidence Synthesis
Provides two taxonomic coefficients from E. S. Smirnov
"Taxonomic analysis" (1969) book
Data Structure and Manipulations Tool for Host and Viral
Population
Visualize Data for Host and Viral Population from 'SMITIDstruct'
using 'HTMLwidgets'
Sieve Maximum Full Likelihood Estimation for the Right-Censored
Proportional Hazards Model
Generation and Tracking of Super-Resolution Filamentous Datasets
Outlier Detection Using Statistical and Machine Learning Methods
Simulation and Estimation of Multi-State Discrete-Time
Semi-Markov and Markov Models
Soft Maximin Estimation for Large Scale Array-Tensor Models
Soft Maximin Estimation for Large Scale Heterogeneous Data
Simulation, Estimation and Reliability of Semi-Markov Models
The Swiss Municipal Data Merger Tool Maps Municipalities Over
Time
Fitting Univariate Censored Regression Model Under the Family of
Scale Mixture of Normal Distributions
Small Molecule Octet/BLI Kinetics Experiment
Single and Multi-Objective Optimization Test Functions
Smoothing of Two-Dimensional Demographic Data, Optionally Taking
into Account Period and Cohort Effects
A Framework to Smooth L1 Penalized Regression Operators using
Nesterov Smoothing
Functions Relating to the Smoothing of Numerical Data
Estimation of Smooth Hazard Models for Interval-Censored Data
Smooth Hazard Ratio Curves Taking a Reference Value
Variable Selection Using a Smooth Information Criterion
Smoothed M-Estimators for 1-Dimensional Location
Smooth Time-Dependent ROC Curve Estimation
Survival Regression with Smoothed Error Distribution
Smooth Estimation of GPD Shape Parameter
A Collection of Smooth Tensor Estimation Methods
Automatic Estimation of the Most Likely Drug Combination using
Smooth Algorithm
Nonparametric Estimation of the Trend and Its Derivatives in TS
Acquire and Explore BEC-SMOS L4 Soil Moisture Data in R
A Collection of Oversampling Techniques for Class Imbalance
Problem Based on SMOTE
Imbalanced Resampling using SMOTE with Boosting (SMOTEWB)
Some Movies to Illustrate Concepts in Statistics
Creating Standalone and Composite Plots in 'ggplot2' for
Publications
Practicals for Use with Davison (2003) Statistical Models
Assessment of Diagnostic and Prognostic Markers
Datasets for Agresti and Finlay's "Statistical Methods for the
Social Sciences"
Sparse Multi-Type Regularized Feature Modeling
Various Multivariate Graphics with Variable Choice in Shiny Apps
The Skew-Normal and Related Distributions Such as the Skew-t and
the SUN
'RStudio' Addin for Network Analysis and Visualization
Play and Analyse the Game of Snakes and Ladders
Get Snapchat Ads Data via the 'Windsor.ai' API
Fast Kriging and Geostatistics on Grids with Kronecker
Covariance
Gadget N-body cosmological simulation code snapshot I/O
utilities
Download Data from the Swiss National Bank (SNB)
EM Algorithm for Multivariate Skew-Normal Distribution with
Overparametrization
Creating Correlation Networks using St. Nicolas House Analysis
Calculate and Visualize 'SNOTEL' Snow Data and Seasonality
Snowball Stemmers Based on the C 'libstemmer' UTF-8 Library
Easier Cluster Computing (Based on 'snow')
Fault Tolerant Simple Network of Workstations
Assess the Diagnostic Power of Genomic Marker Combinations
Investigating the Functional Characteristics of Selected SNPs
and Their Vicinity Genomic Region
SNPs-Based Whole Genome Association Studies
Knockoffs for Hidden Markov Models and Genetic Data
Single Nucleotide Polymorphisms Linkage Disequilibrium
Visualizations
Preparing Genotypic Datasets in Order to Run Genomic Analysis
A Set-Based Association Test using GWAS Summary Statistics
Sequential Normal Scores in Statistical Process Management
Self-Normalization(SN) Based Change-Point Estimation for Time
Series
Standard and Nonstandard Statistical Models and Methods for Test
Equating
Download Datasets from the Swiss National Science Foundation
(SNF, FNS, SNSF)
Small N Sequential Multiple Assignment Randomized Trial Methods
Calculate Earth’s Obliquity and Precession in the Past
Empirical Bayes Single Nucleotide Variant Calling
Memory management in R by delayed assignments
Nonparametric Sobol Estimator with Bootstrap Bandwidth
Sobol Sequences with Better Two-Dimensional Projections
Specific Correspondence Analysis for the Social Sciences
Rank and Social Hierarchy for Gregarious Animals
Social Mixing Matrices for Infectious Disease Modelling
Social Ranking Solutions for Power Relations on Coalitions
Identifying Patient Social Risk from Administrative Health Care
Data
Operationalizing Social Determinants of Health Data for
Researchers
Utility Functions and Data Sets for Data Visualization
SODA: Main and Interaction Effects Selection for Logistic
Regression, Quadratic Discriminant and General Index Models
Interfaz interactiva con fines didacticos
Making Sophisticated and Aesthetical Figures in R
Matrix Completion via Iterative Soft-Thresholded SVD
Statistical Approach via Pseudo-Value Information and Estimation
Assessment Models for Agriculture Soil Conditions and Crop
Suitability
Computation of Properties Related to Soil Chemical Environment
and Nutrient Availability
Fractal Dimension Analysis of Soil Particle Size Distribution
Modelling of Soil Water Retention and Hydraulic Conductivity
Data
Calculate Soil Management Indicators for Agricultural Practice
Assessment
Models of Soil Organic Matter Decomposition
Soil Salinity Indices Generation using Satellite Data
A System of Soil Classification for Making and Interpreting Soil
Surveys
Organic Carbon and Plant Available Nutrient Contents in Soil
Functions for Soil Texture Plot, Classification and
Transformation
Implementation of Parametric Formulas for Soil Water Retention
or Conductivity Curve
Supporting Objects for Sojourn Accelerometer Methods
Solar Position Algorithm for Solar Radiation Applications
Utilities Dealing with Solar Time Such as Sun Position and Time
of Sunrise
Calculating Solar Radiation and Related Variables Based on
Location, Time and Topographical Conditions
Solver Suite for Alkalinity-PH Equations
Topological k-NN Classifier Based on Self-Organising Maps
General-Purpose Optimisation with the Self-Organising Migrating
Algorithm
SOM Bound to Realize Euclidean and Relational Outputs
SOM Algorithm for the Analysis of Multivariate Environmental
Data
Self Organising Maps for the Analysis of Molecular Dynamics Data
Analysis of Soil Organic Matter using Nuclear Magnetic Resonance
Spatial Analysis with Self-Organizing Maps
An Individual-Based Model of Bird Song Evolution
Estimating Abundance of Clones from DNA Fragmentation Data
Bioacoustic Analysis and Publication Tools
Data Sonification - Turning Data into Sound
Generalised Additive P-Spline Regression Models Estimation
The Sparse Online Principal Component Estimation Algorithm
Non-Parametric Estimation of the Off-Pulse Interval of a Pulsar
Sequential Optimal Designs for Two-Colour cDNA Microarray
Experiments
Estimation using Sequential Offsetted Regression
Soil Organic Carbon and CN Ratio Driven Nitrogen Modelling
Framework
A Bayesian Semiparametric Approach to Correlated ROC Surfaces
Static Adsorption Experiment Plotting and Analysis
Drag-and-Drop in 'shiny' Apps with 'SortableJS'
Estimation and Inference Methods for Sorted Causal Effects and
Classification Analysis
Search Contributed R Packages, Sort by Package
United States Presidential State of the Union Addresses
Sound Classification Using Convolutional Neural Networks
Tools for Reading, Tokenizing and Parsing R Code
Data and 'Shiny' Application for the Show 'SouthPark'
Structured Learning in Time-Dependent Cox Models
Soybean Nested Association Mapping Dataset
USDA Northern Region Uniform Soybean Tests Dataset
Design and Simulation of Seamless Phase II-III Clinical Trials
Univariate and Multivariate Spatial Modeling of Species
Abundance
Spatially Aware Cell-Cell Interaction Analysis
Space-Filling Random and Quasi-Random Sequences
Latent Space Models for Multidimensional Networks
Standard and User-Defined RGB Color Spaces, with Conversion
Between RGB and CIE XYZ and Lab
CIE XYZ and some of Its Derived Color Spaces
Classes and Methods for Spatio-Temporal Data
Blind Source Separation for Multivariate Spatio-Temporal Data
High-Dimensional Spatial Covariate-Augmented Overdispersed
Poisson Factor Model
Spherical Projections of Astronomical Data
Species-Richness Prediction and Diversity Estimation with R
Develop and Run Spatially Explicit Discrete Event Simulation
Models
Core Utilities for Developing and Running Spatially Explicit
Discrete Event Models
Additional Tools for Developing Spatially Explicit Discrete
Event Simulation (SpaDES) Models
Artificial Spatial and Spatio-Temporal Densities on Bounded
Windows
64-Bit Extension of the SPArse Matrix R Package 'spam'
Mixed-Effect Models, with or without Spatial Random Effects
Translate Quantities from Strings to Integer and Back. Misc
Functions on Spanish Data
Analysis of Field Trials with Geostatistics & Spatial AR Models
Perform Sparse Hierarchical Clustering and Sparse K-Means
Clustering
Read in 'SAS' Data ('.sas7bdat' Files) into 'Apache Spark'
Google 'BigQuery' Support for 'sparklyr'
Interface for 'TensorFlow' 'TFRecord' Files with 'Apache Spark'
Interface for 'XGBoost' on 'Apache Spark'
Spatial and Spatiotemporal Relative Risk
Analysis of Differential Behaviour of SPARRA Score Across
Demographic Groups
Power Analysis to Detect Spatial Relative Risk Clusters
Sparse Biclustering of Transposable Data
'HJ-Biplot' using Different Ways of Penalization Plotting with
'ggplot2'
Sparse Matrix C++ Classes Including Sparse Cholesky LDL
Decomposition of Symmetric Matrices
Sparse Covariance Estimation Based on Thresholding
Estimate Dynamic Factor Models with Sparse Loadings
Sparse and Regularized Discriminant Analysis
Computation of Sparse Eigenvectors of a Matrix
Functional Linear Mixed Models for Irregularly or Sparsely
Sampled Data
Design of Portfolio of Stocks to Track an Index
Computation of the Sparse Inverse Subset
The Sparse Latent Position Model for Nonnegative Interaction
Data
Represent and Use Sparse + Low Rank Matrices
RcppEigen back end for sparse least trimmed squares regression
SPAtial Resolution-SEnsitive Models of Outbreak Dynamics
'Multiple Systems Estimation for Sparse Capture Data'
Multivariate Normal Functions for Sparse Covariance and
Precision Matrices
Fit Sparse Linear Regression Models via Nonconvex Optimization
Sparse Principal Component Analysis (SPCA)
Variable Selection under Ranked Sparsity Principles for
Interactions and Polynomials
Sparse Bayesian Models for Regression, Subgroup Analysis, and
Panel Data
Elastic Net Penalized Maximum Likelihood for Structural Equation
Models with Network GPT Framework
Sparse Truncated Singular Value Decomposition (from 'SVDLIBC')
Solution Paths of Sparse High-Dimensional Support Vector Machine
with Lasso or Elastic-Net Regularization
Sparse Time Series Chain Graphical Models
Spike-and-Slab Variational Bayes for Linear and Logistic
Regression
Sparse Vector Field Consensus for Vector Field Learning
Statistical Pattern Recognition and daTing using Archaeological
Artefacts assemblageS
Variance Identification in Sparse Factor Analysis
Study Planning and Adaptation of Sample Size
Spatio-Temporal Modeling of Large Data Using a Spectral SPDE
Approach
Score Test and Meta-Analysis Based on Saddlepoint Approximation
Functional Geostatistics: Univariate and Multivariate Functional
Spatial Prediction
Graph Edge Computations for Spatial Point Patterns
Spatial Grid Generation from Longitude and Latitude List
Functions for Kriging and Point Pattern Analysis
Blind Source Separation for Multivariate Spatial Data
Computation of Spatial Covariance Matrices for Data on
Rectangles
Deconvolution of Spatial Transcriptomics Data Based on Neural
Networks
Spatial Analysis and Modelling Utilities
Methods and Data for Spatial Epidemiology
Fit Spatial Generalized Extreme Value Models
Kernel Density Estimation for Spatial Data
Multivariate Nonparametric Methods Based on Spatial Signs and
Ranks
Tools for Assessment the Association Between Two Spatial
Processes
Generation of Spatial Data with Spatially Varying Model
Parameter
Conduct Multiple Types of Geographic Regression Discontinuity
Designs
Easy Spatial Modeling with Random Forest
Robust Maximum Likelihood Estimation for Spatial Error Model
Spatial Analysis of Vectra Immunoflourescent Data
Spatial Early Warning Signals of Ecosystem Degradation
Formats Spatial Data for Use in Htmlwidgets
Regularized Spatial Maximum Covariance Analysis
Topic Inference to Identify Tissue Architecture in Multiplexed
Images
Regularized Principal Component Analysis for Spatial Data
Inference for Spatiotemporal Partially Observed Markov Processes
Spatial Analysis of Field Trials with Splines
Group Animal Relocation Data by Spatial and Temporal
Relationship
Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Exploratory Data Analysis for the 'spatstat' Family
Geometrical Functionality of the 'spatstat' Family
Interactive Graphics Functions for the 'spatstat' Package
Extension to 'spatstat' for Large Datasets on a Linear Network
Linear Networks Functionality of the 'spatstat' Family
Extension to 'spatstat' for Local Composite Likelihood
Parametric Statistical Modelling and Inference for the
'spatstat' Family
Random Generation Functionality for the 'spatstat' Family
Sparse Three-Dimensional Arrays and Linear Algebra Utilities
One-Dimensional Probability Distribution Support for the
'spatstat' Family
Bayesian Spatial Survival Analysis with Parametric Proportional
Hazards Models
Simple Progress Bars for Procedural Coding
Univariate and Multivariate Spatial-Temporal Modeling
Bayesian Modeling and Analysis of Spatially Correlated Survival
Data
Bayesian Predictive Stacking for Scalable Geospatial Transfer
Learning
Statistical Process Control -- Calculation of ARL and Other
Control Chart Performance Measures
Statistical Process Control for Stochastic Textured Surfaces
Functions for Calibrating Control Charts
A New Reduced-Rank Linear Discriminant Analysis Method
Sparse Principal Component Analysis via Random Projections
(SPCAvRP)
Design and Analyze Studies using the Sequential Parallel
Comparison Design
Compute Power or Sample Size for GWAS with Covariate Effect
Computing Scales of Spatial Smoothing for Confounding Adjustment
Spatial Coverage Sampling and Random Sampling from Compact
Geographical Strata
Sparse Estimation of a Covariance Matrix
Analysis of Spatial Gradients in Radiocarbon Dates
Spatial Dependence: Weighting Schemes, Statistics
Easier Use of 'RcppSpdlog' Functions via Wrapper
Spatial Downscaling Using Bias Correction Approach
Spatio-Dynamic Wetland Plant Communities Model
Fast and Robust Multi-Scale Graph Clustering
A Wrapper for the Phonetic Software 'Praat'
Tools for Nuclear Magnetic Resonance (NMR) Spectra Alignment,
Peak Based Processing, Quantitative Analysis and Visualizations
Jackknife Euclidean / Empirical Likelihood Inference for
Spearman's Rho
A Data Specification Format and Interface
Easy, Fast, and Pretty Specification Curve Analysis
Change Points Detection with Spectral Clustering
Statistical Package for Species Richness Estimation
Receptor Abundance Estimation using Reduced Rank Reconstruction
and Clustered Thresholding
Reduction of Speckle Data from BTA 6-m Telescope
Conducting and Visualizing Specification Curve Analyses
Single-Equation Penalized Error-Correction Selector (SPECS)
Forecast Verification Routines for Ensemble Forecasts of Weather
and Climate
Storing, Manipulating and Analysis Spectroscopy and Associated
Data
Calculate the Periodogram of a Time-Course
Common Methods of Spectral Data Analysis
Pre-Process, Visualize and Analyse Spectral Data
Detect Anomalies Using the Spectral Residual Algorithm
Approximate Gaussian Processes Using the Fourier Basis
Learning Graphs from Data via Spectral Constraints
Obtain and Visualize Spectral Reflectance Data for Earth Surface
Polygons
Visual and Non-Visual Spectral Analysis of Light
Spectra Viewer, Organizer, Data Preparation and Property Blocks
Fast Adaptive Spectral Clustering for Single and Multi-View Data
Smoothness-Penalized Deconvolution for Density Estimation Under
Measurement Error
Estimation of the Relative Importance of Factors Affecting
Species Distribution Based on Stability Concept
Access the Speechs and Speaker's Informations of House of
Representatives of Brazil
Fitting Linear and Generalized Linear Models to Large Data Sets
Efficient Bayesian Inference for the Bradley--Terry Model
Automate Code for Adding Labels, Recoding and Renaming
Variables, and Converting ASCII Files
Rapidly Import Classifier Results into 'phyloseq'
Semiparametric Efficient Estimation for a Two-Sample Treatment
Effect
Calculation of the Standardized Precipitation-Evapotranspiration
Index
Correct the Spelling of a Given Word in the English Language
A Bi-Dimensional Implementation of the Empirical Mode
Decomposition for Spatial Data
Auxiliary Functions to Estimate Centers of Biodiversity
Perform Spatial Error Estimation and Variable Importance
Assessment
Non-Parametric Tests of Parametric Specifications
Unsmoothed and Smoothed Penalized PCA using Nesterov Smoothing
Function-on-Scalar Regression with Group-Bridge Penalty
Semiparametric Spatial Filtering with Eigenvectors in
(Generalized) Linear Models
Feature Selection and Ranking via Simultaneous Perturbation
Stochastic Approximation
Statistical Patterns in Genomic Sequences
Students' Performance Dataset in Physics Education Research
(SPHERE)
Piecewise Geodesic Smoothing for Spherical Data
Numerical Integration over Spheres and Balls in n-Dimensions;
Multivariate Polar Coordinates
Estimation of Spatial Autoregressive Models with and without
Heteroskedastic Innovations
Uniformity Tests on the Circle, Sphere, and Hypersphere
Sparse Method to Identify Joint Effects of Functional Predictors
Parse and Test Robots Exclusion Protocol Files and Rules
Compute SPI Index using the Methods Genetic Algorithm and
Maximum Likelihood
Detecting Election Fraud from Irregularities in Vote-Share
Distributions
Prediction and Variable Selection Using Spike and Slab
Regression
Bayesian Variable Selection and Model Choice for Generalized
Additive Mixed Models
Spillover/Connectedness Index Based on VAR Modelling
(Semi)Parametric Estimation and Bootstrapping of INAR Models
Semi-Parametric Gene-Environment Interaction via Bayesian
Variable Selection
Manual Tours, Manual Control of Dynamic Projections of Numeric
Multivariate Data
An Implementation of Graph Net Architecture Based on 'torch'
Sparse Generative Model and Its EM Algorithm
Manage Data from Cardiopulmonary Exercise Testing
Spatial and Space-Time Point Pattern Analysis
Simple Process-Led Algorithms for Simulating Habitats
Spatial Models for Limited Dependent Variables
Synthetic Paid Loss and Incurred Cost Experience (SPLICE)
Simulator
Longitudinal Regression Trees and Forests
Functional Data Analysis using Splines and Orthogonal Spline
Bases
Split a Dataset for Training and Testing
Combined Evaluation and Split Access of Functions
Calculate Task Split Half Reliability Estimates
Best Split Selection Modeling for Low-Dimensional Data
Analysis of Split-Split-Plot Experiments (Analise De
Experimentos Em Parcela Subsubdividida)
Stack and Reshape Datasets After Splitting Concatenated Values
Econometric Models for Spatial Panel Data
Simultaneous Penalized Linear Mixed Effects Models
Simplified Plotting for Data Exploration
Sparse Partial Least Squares (SPLS) Regression and
Classification
Utility Functions for Common Base-R Problems Relating to Lists
Semiparametric Maximum Likelihood Method for Interactions
Gene-Environment in Case-Mother Control-Mother Designs
Spatial Statistical Modeling and Prediction
Fast Spatial and Spatio-Temporal Regression using Moran
Eigenvectors
Spatial Network Autocorrelation for Flow Data
Scale Invariant Probabilistic Neural Networks
Spatial Regression Models for Large Datasets using Nearest
Neighbor Gaussian Processes
Interface to Species Occurrence Data Sources
Single-Species, Multi-Species, and Integrated Spatial Occupancy
Models
Blur 'HTML' Elements in 'Shiny' Applications Using
'Spoiler-Alert.js'
SpongeBob-Case Converter : spOngEboB-CASe CoNVertER
Transform a Movie into a Synthetic Picture
Time Feature Extrapolation Using Spectral Analysis and
Jack-Knife Resampling
Sequential Pairwise Online Rating Techniques
Display Tournament Fixtures using Knock Out and Round Robin
Techniques
Plot Scaled 'ggplot' Representations of Sports Playing Surfaces
Providing Convenience Functions to Connect R with the Spotify
API
Spatiotemporal Clustering of Satellite Hot Spot Data
Scatter Plots Over-Viewed Using Summary Ellipses
Combining Different Spatial Datasets in Cancer Risk Estimation
Generation of Spatial Population under Different Levels of
Relationships among Variables
Sparse Arrays and Multivariate Polynomials
Simulating Spreading Activation in a Network
Statistical Package for Reliability Data Analysis
Bias Reduction in the Skew-Probit Model for a Binary Response
Evaluation of Sprinkler Irrigation Uniformity and Efficiency
Calculate Species Richness and Extrapolation Metrics
Sparse Group Variable Selection for Gene-Environment
Interactions in the Longitudinal Study
Sequential Probability Ratio Tests Toolbox
'systemPipeShiny' UI and Server Components
Selecting Spatial Scale of Covariates in Regression Models
Estimation and Prediction of Parameters of Various Soil
Hydraulic Property Models
Site Percolation on Square Lattices (SPSL)
Selection by Partitioning the Solution Paths
Bayesian Geostatistics Using Predictive Stacking
Spatial Seemingly Unrelated Regression Models
Bernstein Polynomial Based Semiparametric Survival Analysis
Spatially Varying and Spatio-Temporal Dynamic Linear Models
Nonparametric Modeling and Monitoring of Spatio-Temporal Data
Functions for Spatial Thinning of Species Occurrence Records for
Use in Ecological Models
Predicting Totals and Weighted Sums from Spatial Data
Functions and Datasets for "Introduction to Scientific
Programming and Simulation Using R"
Spatially Automatic Denoising for Imaging Mass Spectrometry
Toolkit
Collection of 'SQL' Utilities for 'T-SQL' and 'Postgresql'
Execute 'SQL' Scripts in 'R' Containing Multiple Queries
Wrapper for 'Python' Module 'sqlparse': Parse, Split, and Format
'SQL'
Rendering Parameterized SQL and Translation to Dialects
Utilities for Generating SQL Queries from Model Objects
Analyze Results Generated by the 'SqueezeMeta' Pipeline
Enhances Interaction with 'ODBC' Databases
Subgroup Identification Based on Quantitative Objectives
Squared Extrapolation Methods for Accelerating EM-Like Monotone
Algorithms
Color-Based Plots for Multivariate Visualization
An Experiment Interface for 'DeepSqueak' Bioacoustics Research
Group-Adaptive Elastic Net Penalised Generalised Linear Models
Statistical Quantification of Individual Differences
Smooth Regression - The Gamma Test and Tools
Simplify Connections to Database Sources
Statistical Ranking Color Scheme for Multiple Pairwise
Comparisons
Semiparametric Model-Assisted Estimation in Finite Populations
Structural Equation Modeling for the Social Relations Model
Analysis of Small RNA Expression Changes in Hybrid Plants
Smooth-Rough Partitioning of the Regression Coefficients
Read the Swiss Register of Plant Protection Products
Simulator for Spatially Resolved Transcriptomics
Adjust Srt File to Get Better Experience when Watching Movie
'dplyr'-Like Syntax for Summary Statistics of Survey Data
Fisheries Stock Assessment Simulation Testing with Stock
Synthesis
Sample Size Adjusted for Nonadherence or Variability of Input
Parameters
Robust Correlation Estimation and Testing Based on Spatial Signs
Web Application for the SSD Module of the MOSAIC Platform
Single Sample Directional Gene Set Analysis
Tools Developed for Structured Sufficient Dimension Reduction
(sSDR)
Sample Size Computation for Fixed N with Optimal Reward
Fitting of Parametric Models using Summary Statistics
Spike-and-Slab Group Lasso for Group-Regularized Generalized
Linear Models
Bayesian Graph Structure Learning using Spike-and-Slab Priors
Searching Shared HLA Amino Acid Residue Prevalence
Nonparametric, Tuning-Free Estimation of S-Shaped Functions
Stochastic Search Inconsistency Factor Selection
The Structural Similarity Index Measure for Maps
Sample Size Calculations for Microarray Experiments
Sample Size Calculation for RNA-Seq Experimental Design
Semi-Supervised Classification, Regression and Clustering
Methods
Fit and Analyze Smooth Supersaturated Models
Skew Scale Mixtures of Normal Distributions
Bayesian State-Space Modeling of Mouse-Tracking Experiments via
Stan
Robust Estimation and Inference in Sample Selection Models
Scale-Shape Mixtures of Skew-Normal Distributions
Bayesian Spatio-Temporal Analysis in Stream Networks
Stream Suitable Online Support Vector Machines
Simulated Sampling Procedure for Community Ecology
Estimating Hidden Population Size using Respondent Driven
Sampling Data
Two-Dimensional Sociometric Status Determination with Rating
Scales
Sample Size Determination for Longitudinal Designs with Binary
Outcome
Sample Size Calculation using Restricted Mean Survival Time
Import Files in the Triple-s (Standard Survey Structure) Format
Same Species Sample Contamination Detection
Bootstrap Stacking of Random Forest Models for Heterogeneous
Data
Toolkit for Reduced Form and Structural Smooth Transition Vector
Autoregressive Models
Functions for Stochastic Search Variable Selection (SSVS)
Striped Smith-Waterman Algorithm for Sequence Alignment using
SIMD
Fitting Semi-Parametric log-Symmetric Regression Models
Shrinkage t Statistic and Correlation-Adjusted t-Score
Seasonal Trend Analysis for Time Series Imagery in R
Stability Analysis of Genotype by Environment Interaction (GEI)
Stability Analysis App for GEI in Multi-Environment Trials
Stabilizing Regression and Variable Selection
Probability Functions and Generalized Regression Models for
Stable Distributions
Estimate the Four Parameters of Stable Laws using Different
Methods
A Stable Gelman-Rubin Diagnostic for Markov Chain Monte Carlo
Stability Assessment of Statistical Learning Methods
Stable Specification Search in Structural Equation Models
Stability Measures for Feature Selection
Standardized Accuracy and Other Model Performance Metrics
Tools for Analysis of Stacked Multiple Imputations
Building Predictive Models with Stacking
Modelling the Population Dynamics of a Stage-Structured Species
in Continuous Time
Efficient Estimation Under Staggered Treatment Timing
Statistical Analysis of Mixed Ploidy Populations
Spatial Temporal Analysis of Moving Polygons
Bayesian Additive Regression Trees with Stan-Sampled Parametric
Extensions
Tools for Standardizing Variables for Regression in R
Data Package for BDEW Standard Load Profiles in Electricity
Ecotoxicological Information from the Standartox Database
Alerts, Notifications and Loading Screen in 'Shiny'
Bayesian Mortality Modelling with 'Stan'
Simultaneous Truth and Performance Level Estimation
An Empirical Bayes Approach for Replicability Analysis Across
Two Studies
Well-Formatted Regression and Summary Statistics Tables
Modelling Space Time AutoRegressive Moving Average (STARMA)
Processes
Spatiotemporal Arrays, Raster and Vector Data Cubes
Miscellaneous Functions for Working with 'stars' Rasters
Single to Double Arm Transition Design for Phase II Clinical
Trials
Automatically Retrieve Multidimensional Distributed Data Sets
Vector Logistic Smooth Transition Models Estimation and
Prediction
R-Based Visualization Techniques for Task-Based Applications
Relational Data from the 'Star Wars' API for Learning and
Teaching
Interactive Document for Working with Basic Statistical Analysis
Tools Inspired by 'Stata' to Manipulate Tabular Data
Basic Functions to Statistical Methods Course
Client for Statistics Canada's Open Economic Data
Extract Statistics from Articles and Recompute P-Values
Statistical Complexity and Information Measures for Time Series
Analysis
Models of Decision Confidence and Metacognition
Statistical Analysis for Environmental Data
Create United States Uniform Cartogram Heatmaps
Historical State-Level Forest Cover Data in the United States
High Throughput Phenotyping (HTP) Data Analysis
QTL Mapping for Multi Parent Populations
Multi-Trait and Multi-Trial Genome Wide Association Studies
Single Trial Analysis (STA) of Field Trials
Detailed Meteorological Data from Stations All Over the World
Statistical Functions for Probability Distributions and
Regression
Software Tools for the Statistical Analysis of Network Data
Common R Scripts and Utilities Used by the Statnet Project
Software
A Shiny App for Network Modeling with 'statnet'
Use Data from the Czech Public Finance Database
Statistical Performance Measures to Evaluate Covariance Matrix
Estimates
Quotes on Statistics, Data Visualization and Science
Statistical Rank Aggregation: Inference, Evaluation, and
Visualization
Work with Open Road Traffic Casualty Data from Great Britain
An Interface for the 'STAT Search Analytics' 'API'
Tidy Dataframes and Expressions with Statistical Details
Shiny Apps for Automated Data Analysis and Automated
Interpretation
Companion Software for the Coursera Statistics with R
Specialization
Sequential Test and Change-Point Detection Algorithms Based on
E-Values / E-Detectors
Calculate the Standardized Difference for Numeric, Binary and
Category Variables
Standardized Moderation Effect and Its Confidence Interval
Regression Standardization for Causal Inference
ICA and Tests of Independence via Multivariate Distance
Covariance
Testing Steepness of Dominance Hierarchies
Semi-Parametric Stein-Like Estimator with Instrumental Variables
Hawkes and Log-Gaussian Cox Point Processes Using Template Model
Builder
Evolutionary Tracks and Isochrones from Pisa Stellar Evolution
Database
Reconstructing Tree Growth and Carbon Accumulation with Stem
Analysis Data
Stemmatological Analysis of Textual Traditions
Spatio-Temporal Estimation and Prediction for Censored/Missing
Responses
Standardization of Raw Discrete Questionnaire Scores
Stepwise Procedure for Beta, Beta-Binomial and Negative Binomial
Regression Models
Estimate Step Counts from 'Accelerometry' Data
A Step-Down Procedure to Control the False Discovery Proportion
Stepwise Variable Selection for Generalized Boosted Regression
Modeling
A Hybrid Spatial Model for Prediction and Capturing Spatial
Variation in the Data
Variable Selection for Joint Modeling of Mean and Dispersion
Subpopulation Treatment Effect Pattern Plot (STEPP)
Power Calculation for Stepped Wedge Designs
Stepwise Forward Variable Selection in Penalized Regression
L2 Penalized Logistic Regression with Stepwise Variable
Selection
Stepwise Predictive Variable Selection for Random Forest
Spatially- and Temporally-Explicit Population Simulator
Step-Wise Signal Extraction via Marginal Likelihood
Multiple Testing Method to Control Generalized Family-Wise Error
Rate and False Discovery Proportion
Stereo Camera Calibration and Reconstruction
Steve's Toy Data for Teaching About a Variety of Methodological,
Social, and Political Topics
Steve's 'ggplot2' Themes and Related Theme Elements
Statistical Tests for Functional Time Series
Spatially and Temporally Varying Coefficient Models Using
Generalized Additive Models
Persist Attributes Across Data Operations
Data Frames with Persistent Columns and Attributes
Process Stream Temperature, Intermittency, and Conductivity
(STIC) Sensor Data
Read and Modify 'STICS' Input/Output Files
Separable Gaussian Process Interpolation (Emulation)
Incorporating Stability Information into Cross-Sectional
Estimates
Simultaneous Threshold Interaction Modeling Algorithm
Stineman, a Consistently Well Behaved Method of Interpolation
STL Decomposition and ARIMA Hybrid Forecasting Model
Hybrid Forecasting Model Based on STL Decomposition and ELM
Spatio-Temporal Analysis of Point Patterns on Linear Networks
Enhanced Seasonal Decomposition of Time Series by Loess
STL Decomposition and TDNN Hybrid Time Series Forecasting
Estimation of the Structural Topic Model
A Tool for Structural Topic Model Visualizations
Rapid and Accurate Genetic Prediction Modeling for Genome-Wide
Association or Whole-Genome Sequencing Study Data
Shiny Application for Creating STM Models
A 'Shiny' Application for Inspecting Structural Topic Models
Quantile-Quantile Plot with Several Gaussian Simulations
Discovery of Motifs in Spatial-Time Series
Strength Training Manual R-Language Functions
Fit a Spatial Occupancy Model via Gibbs Sampling
Stochastic Blockmodeling of One-Mode and Linked Networks
Stochastic Limited Memory Quasi-Newton Optimizers
Efficient Bayesian Inference for Stochastic Volatility (SV)
Models
Equity Valuation using Methods of Fundamental Analysis
Estimating Consistent Tests for Stochastic Dominance
R Functions for Solving Stoichiometric Equations
Stop Detection in Timestamped Trajectory Data using
Spatiotemporal Clustering
Selection Threshold Optimized Empirically via Splitting
Spatio-Temporal Point Pattern Methods, Model Fitting,
Diagnostics, Simulation, Local Tests
Create and Evaluate Stopping Rules for Safety Monitoring
Write Storm Bolts in R using the Storm Multi-Language Protocol
Analyzing the Behaviour of Wind Generated by Tropical Storms and
Cyclones
Access Data from the Norwegian Parliament API
Download, Explore, and Analyze Literary Theme Ontology Data
Explore Twitter Trends with the 'Storywrangler' API
Stochastic Simulator for Reliability Modeling of Repairable
Systems
Selection of Training Populations by Genetic Algorithm
Stochastic Process Model for Analysis of Longitudinal and
Time-to-Event Outcomes
Space-Time Point Pattern Simulation, Visualisation and Analysis
Seasonal Trend Decomposition Using Regression
Convert R Objects from One Structure to Another
A Framework for Investment Strategy Simulation
Simple Translation Between Different Languages
Stratigraphic Tree Analysis for Palaeontology
An Implementation of the Stratification Index
Optimum Sample Allocation in Stratified Sampling
Stratification and Matching for Large Observational Data Sets
Stratified Analysis of 2x2 Contingency Tables
Optimal Stratification in Stratified Sampling
Generic Framework to Analyze Trading Strategies
Univariate Stratification of Survey Populations
Builds Trees by Sampling Variables in Groups
Stratified Sampling and Labeling of Data in R
Optimal Stratification of Univariate Populations
Enumeration and Uniform Sampling of Transmission Trees for a
Known Phylogeny
Fast Implementation of Reading/Dump for .hic Files
Anomaly Detection in High Dimensional and Temporal Data
Receptor Abundance Estimation using Feature Selection and Gene
Set Scoring
Parametric Ordinary Differential Equations Model of Growth,
Death, and Respiration of Macroinvertebrate and Algae Taxa
Estimate Streamflow Depletion Due to Groundwater Pumping
Calculate Single Station Metabolism from Diurnal Oxygen Curves
Interface for MOA Stream Clustering Algorithms
Collect And Investigate Street Views For Urban Science
Algorithms for Testing Models under Stress
Fetch and plot financial stress index and component data
Computation and Estimation of Reliability of Stress-Strength
Models
Creates an Adjacency Matrix from a List of Strings
Approximate String Matching, Fuzzy Text Search, and String
Distance Functions
Fast and Portable Character String Processing Facilities
Character String Operations and Interpolation, Magic Edition
Simple, Consistent Wrappers for Common String Operations
Replacements for Base String Functions Powered by 'stringi'
Structured Trellis Displays Without Strips for Lattice Graphics
Analysis of Short Tandem Repeat (STR) Massively Parallel
Sequencing (MPS) Data
R Codes and Datasets for Generalized Linear Mixed Models: Modern
Concepts, Methods and Applications by Walter W. Stroup
Testing, Monitoring, and Dating Structural Changes
Testing, Monitoring, and Dating Structural Changes: C++ Version
Process Control and Validation of Forensic STR Kits
Estimation of the Structural Topic and Sentiment-Discourse Model
for Text Analysis
Subtests Using Algorithmic Rummaging Techniques
Tidy Handling and Navigation of the Student-Life Dataset
Study Strap and Multi-Study Learning Algorithms
Detect Subgroup with an Enhanced Treatment Effect
Methods for exploring treatment effect heterogeneity in subgroup
analysis of clinical trials
Patient Subgroup Identification for Clinical Drug Development
Combine Multiple GWAS by Using Gene-Environment Interactions
Effect Modification in Observational Studies Using the Submax
Method
Identify Signal Subpathways Competitively Regulated by LncRNAs
Based on ceRNA Theory
Unconstrained Optimization using the Subplex Algorithm
Computes Copula using Ranks and Subsampling
Optimal Subsampling Methods for Statistical Models
Computing Subscores in Classical Test Theory and Item Response
Theory
Systematic Screening of Study Data for Subgroup Effects
An Ensemble Method for Combining Subset-Specific Algorithm Fits
Subgroup Specific Optimal Dose Assignment
Positive Tempered Stable Distributions and Related Subordinators
Prioritization of Candidate Cancer Subtype Specific Drugs
Visual Exploration of Protein Alignments Resulting from Multiple
Substitution Matrices
Survival Control Charts Estimation Software
Identify Sudden Gains in Longitudinal Data
Tools for Making and Spoiling Sudoku Games
Suess and Laws Corrections for Marine Stable Carbon Isotope Data
Sufficient Forecasting using Factor Models
Create Glyph-Maps of Spatiotemporal Data
Declare when Suggested Packages are Needed
Supporting Graphs for Analysing Time Series
Mean Square Prediction Error Estimation in Small Area Estimation
Fast Region-Based Association Tests on Summary Statistics
Easy Calculation and Visualisation of Confidence Intervals
Building Polygenic Risk Score Using GWAS Summary Statistics
Tools to Quickly and Neatly Summarize Data
Module to Compute Influence and Leverage Statistics for
Regression Models with Clustered Errors
Small-Area-Estimation Unit/Area Models and Methods for
Estimation in R
Permutation True Discovery Guarantee by Sum-Based Tests
Compute Sun Position, Sunlight Phases, Moon Position and Lunar
Phase
An Interface to 'SUNDIALS' Ordinary Differential Equation (ODE)
Solvers
Sub-National Geospatial Data Archive: Geoprocessing Toolkit
Constructing Suns-Voc from Outdoor Time-Series I-V Curves
Calculate Sun Position, Sunrise, Sunset, Solar Noon and Twilight
Supervised Clustering of Predictor Variables Such as Genes
Generating Robust Biclusters from a Bicluster Set (Ensemble
Biclustering)
Simplification of scRNA-Seq Data by Merging Together Similar
Cells
A Comprehensive Test Suite for Testing Markov Chain
Nonconvergence
Exact Test and Visualization of Multi-Set Intersections
Superfast Likelihood Inference for Stationary Gaussian Time
Series
A Graphical Tool for Exploring Complex Datasets Using Heatmaps
Build Machine Learning Models Like Using Python's Scikit-Learn
Library in R
Judd, McClelland, & Ryan Formatting for ANOVA Output
Simulation-Based Power Analysis for Factorial Designs
Supervised Classification Learning and Prediction using Patient
Rule Induction Method (PRIM)
Detecting Structural Change with Heteroskedasticity
Downloading Supplementary Data from Published Manuscripts
Basic Functions for Supporting an Implementation of Choice
Experiments
Support Functions for Wrangling and Visualization
Companion to "Statistics Using R: An Integrative Approach"
Bayesian Analysis of Seemingly Unrelated Regression Models
Surrogate Residuals for Ordinal and General Regression Models
A Novel Multi-Disease Automated Phenotyping Method for the EHR
Subsampling Ranking Forward Selection (SuRF)
Fitting Hansen Models to Investigate Convergent Evolution
Find Optimal Sampling Locations Based on Spatial Covariate(s)
Create Datasets with Hidden Images in Residual Plots
Evaluation of Surrogate Endpoints in Clinical Trials
Flexible Evaluation of Surrogate Markers with Bayesian Model
Averaging
Estimation of the Proportion of Treatment Effect Explained by
Surrogate Outcome Information
Rank-Based Test to Evaluate a Surrogate Marker
Goodness-of-Fit Analysis for Categorical Data using the
Surrogate R-Squared
Early Testing for a Treatment Effect using Surrogate Marker
Information
Evaluation of Failure Time Surrogate Endpoints in Individual
Patient Data Meta-Analyses
LaTeX descriptive statistic reporting for survey data
Cox Non-Proportional Hazards Model with Time-Varying
Coefficients
Inference for Model-Free Between-Group Parameters for Censored
Survival Data
Survival Data Analysis using Average Hazard
Estimators of Prediction Accuracy for Time-to-Event Data
Two-Sample Tests Based on Differences of Kaplan-Meier Curves
Concordance Based Bootstrap Methods for Outlier Detection in
Survival Analysis
C-Statistics for Risk Prediction Models with Censored Survival
Data
Nested Cross-Validation to Compare Cox-PH, Cox-Lasso, Survival
Random Forests
Plots Survival Curves Element by Element
Discrete Time Survival and Longitudinal Data Analysis
Time Series Models for Disease Surveillance
Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic
Phenomena
Comparing Multiple Survival Functions with Crossing Hazards
Methods for the Evaluation of Survival Models
Explainable Machine Learning in Survival Analysis
Relative Survival, AER and SMR Based on French Death Rates
Markdown-Based Surveys Using 'Quarto' and 'shiny'
Mapping the Prevalence of Binary Indicators using Survey Data in
Small Areas
Survey Standard Error Estimation for Cumulated Estimates and
their Differences in Complex Panel Designs
Survival Analysis in Health Economic Evaluation
IDI and NRI for Comparing Competing Risk Prediction Models with
Censored Survival Data
Inference and Prediction in an Illness-Death Model
High Dimensional Survival Data Analysis with Markov Chain Monte
Carlo
Fit High-Dimensional Proportional Hazards Models
High-Level Interface for Survival Analysis and Associated Plots
Clustering Analysis Using Survival Tree and Forest Algorithms
Penalised Maximum Likelihood for Survival Analysis Models
Penalised Likelihood for Survival Analysis with Dependent
Censoring
Nonparametric Estimation of the Distribution of Gap Times for
Recurrent Events
Time-Dependent ROC Curve Estimation from Censored Survival Data
Super Learner for Survival Prediction from Censored Data
Survival Analysis Vignettes and Optional Datasets
Data from all Seasons of Survivor (US) TV Series in Tidy Format
Analysis of Proportional Hazards Model with Sparse Longitudinal
Covariates
Model Averaging Prediction of Personalized Survival
Probabilities
Predictive Evaluation Metrics in Survival Analysis
Multiple Imputation Method in Survival Analysis
Miscellaneous Functions for Survival Data
Design of Clinical Trials with Survival Endpoints Based on
Binary Responses
Tools for Flexible Survival Analysis Using Machine Learning
Excel Conversion of R Surival Analysis Output
Parametric Survival Simulation with Parameter Uncertainty
Multidimensional Penalized Splines for Survival and Net Survival
Models
Presmoothed Estimation in Survival Analysis
Weibull Regression for a Right-Censored Endpoint with
Interval-Censored Covariate
Flexible and Coherent Test/Estimation Procedure Based on
Restricted Mean Survival Times
Permutation Test for Comparing Restricted Mean Survival Time
Create Publication Ready Kaplan-Meier Plots
Sensitivity Analysis with Time-to-Event Outcomes
Simulation of Simple and Complex Survival Data
Power Calculations for SNP Studies with Censored Outcomes
Survival Analysis with Sparse Longitudinal Covariates
Nonparametric Spearman's Correlation for Survival Data
Fitting Survival Regression Models via 'Stan'
Comprehensive Interface to the Survey Solutions 'GraphQL' API
Measures of the Sturdiness of Regression Coefficients
Data-Driven Identification of SVAR Models
Interfaces to Various State-of-Art SVD and Eigensolvers
'SciViews' - Standard Dialog Boxes for Windows, MacOS and
Linuxes
'SciViews' - Standard Dialog Boxes using Tcl/Tk
Discrete Nonlinear Filtering for Stochastic Volatility Models
R 'Htmlwidget' to Add Pan and Zoom to Almost any R Graphic
Manipulate SVG (Template) Files of Charts
3D Animated Interactive Visualizations Using SVG and WebGL
Functions to Ease Interactions Between R and IDE or Code Editors
'SciViews' - Functions to Interface with Komodo IDE
Tools for Creating, Updating, and Analyzing Survey Replicate
Weights
'SciViews' - 'Sweave', 'Knitr' and R Markdown Companion
Functions
Wrappers for Tools in Other Packages for IDE Friendliness
'SciViews' - Unit, Integration and System Testing
Management of GUI Widgets, Windows, and Other GUI Resources
Controlled Difference Estimation for Complex Surveys
Regression Model Diagnostics for Survey Data
Linear Mixed Models for Complex Survey Data
Nomograms for Right-Censored Outcomes from Survey Designs
Estimation of the ROC Curve and the AUC for Complex Survey Data
Variable Selection for Complex Survey Data
Design-Based Inference in Vector Generalised Linear Models
Subsampling Winner Algorithm for Classification
Dynamically Generates Documentation from a 'Swagger' Compliant
API
Visualization, Analysis and Adjustment of High-Dimensional Data
in Respect to Sample Annotations
Swap Principal Components into Regression Models
Read, Inspect, and Manipulate Color Swatch Files
Stepped Wedge Cluster Randomized Trial (SW CRT) Design
Sliding Window Discrete Fourier Transform (SWDFT)
Power Calculation for Stepped Wedge Cluster Randomized Trials
Speedy Word Embedding Association Test and Extras Using R
Southwest Fisheries Science Center Aerial DAS Data Processing
Miscellaneous Functions for Southwest Fisheries Science Center
Simulation Extrapolation Inverse Probability Weighted
Generalized Estimating Equations
Scenario Weights for Importance Measurement
Data Import, Cleaning, and Conversions for Swimming Results
Tools for Creating Swimmers Plots using 'ggplot2'
Carousels using the 'JavaScript' Library 'Swiper'
Air Quality Data of Switzerland for One Year in 30 Min
Resolution
Interface to the Webservices of the Swiss Parliament
An Agile Widget Engine for Real-Time, Dynamic Visualizations
A Simple and Flexible Switch-Case Construct for the 'R' Language
Installing, Managing, and Switching Between Distinct Sets of
Installed Packages
Endogenous Switching and Sample Selection Regression Models
Retrieving, Organizing, and Analyzing Estuary Monitoring Data
Functions for Analyzing and Plotting Estuary Monitoring Data
Helper Tools for Australian Hydrologists
Syllable Counting and Readability Measurements
Syllabifier for CMU Dictionary Transcriptions
Collection of Data Sets for Teaching Purposes
Hyphenation and Syllable Counting for Text Analysis
Language Support for 'sylly' Package: English
Autoregressive and Moving Average Symmetric Models
Simple User Interface to Build Equations and Add Symbols
Symbolic Representation of Matrix Determinant
Multivariate Polynomials with Symbolic Parameters in their
Coefficients
Testing for Symmetry of Data and Model Residuals
Symbolic Central and Noncentral Moments of the Multivariate
Normal Distribution
Efficient and Precise Single-Cell Reference Atlas Mapping
Analyzing and Visualizing Symptom Checker Performance
Symbolic Computation for Structural Equation Models
Methods for Computing Spatial, Temporal, and Spatiotemporal
Statistics
Subsample Temporal Data to Synchronal Events and Compute the MCI
A Synchronized Tausworthe RNG for R and Python
Analysis of Functional and Phylogenetic Patterns in
Metacommunities
Synthetic Likelihood Methods for Intractable Likelihoods
Explore and Process Synesthesia Consistency Test Data
An 'SPSS' Syntax Generator for Multi-Variable Manipulation
Synthetic Control Group Method for Comparative Case Studies
Synthetic Microdata and Spatial MicroSimulation Modeling for ACS
Data
Generate Synthetic Data from Statistical Models
Import, Assemble, and Deduplicate Bibliographic Datasets
Synthesize Data Based on Empirical Quantile Functions and Rank
Order Matching
Synthetic Experience Tracking Insurance Claims
Generating Synthetic Versions of Sensitive Microdata for
Statistical Disclosure Control
Tools and Tests for Experiments with Partially Synthetic Data
Sets
Measure Memory and CPU Usage for Parallel R Code
Powerful and Reliable Tools for Running System Commands in R
Systematic Scenario Selection for Stress Testing
Send Log Messages to Remote 'syslog' Server
Estimating Systems of Simultaneous Equations
Systemic Risk and Network Reconstruction
Extracts Sentiment and Sentiment-Derived Plot Arcs from Text
Tailor the Exercise Plans and Visualize the Outcome for T2D
Patients
Functions for Applying the T^2-Test for Equivalence
Tools for Computational Optimal Transport
Create Summary Tables for Statistical Reports
Write Formatted Tables in Excel Workbooks
Build 'data.table' Expressions with Data Manipulation Verbs
Tables of Descriptive Statistics in HTML
Create Publication Quality Tables and Plots
Higher Criticism Test of Two Frequency Counts Tables
Combines 'data.table' and 'matrix' Classes
Create 'Table 1' to Describe Baseline Characteristics with or
without Propensity Score Weights
Presentation-Quality Tables, Displayed Using 'ggplot2'
Tabulate Descriptive Statistics in Multiple Formats
Automatically Convert Hierarchical for-Human Tables to
Machine-Readable LongForm Dataframes
Fit 'TabNet' Models for Classification and Regression
Get Data from 'Taboola' via the 'Windsor.ai' API
Music Notation Syntax, Manipulation, Analysis and Transcription
in R
Analysis and Visualization of Archaeological Count Data
Efficient Tabulation with Stata-Like Output
Parsing Semi-Structured Log Files into Tabular Format
Tabu Search Algorithm for Binary Configurations
User-Friendly Tables with Color Helpers for Data Exploration
Positron Emission Tomography Time-Activity Curve Analysis
New and Extended Plots, Methods, and Panel Functions for
'lattice'
Transparent Assessment Framework for Reproducible Research
Work with Data from High-Resolution Biologging Tags
Minimum Distance Estimation of Tail Dependence Models
Estimate the Probability in the Upper Tail of the Aggregate Loss
Distribution
Symmetric Transformation of Tails for Plotting Differences
Tool for Annotating Images in Preparation for Analysis
Analysis of Differential Calorimetry Scans
Timing, Anatomical, Therapeutic and Chemical Based Medication
Clustering
Design Shaded Contour Lines (or Tanaka) Maps
A Two-Stage Approach to Maximize Interpretability of Drug
Response Models Based on Multiple Molecular Data Types
Feature Selection in Highly Correlated Spaces
Flexible Tree Taper Curves Based on Semiparametric Mixed Models
Tree Taper Curves and Sorting Based on 'TapeR'
Wrapper for 'tapkee' Dimension Reduction Library
Trait Matching and Abundance for Predicting Bipartite Networks
Bayesian Modeling of Autoregressive Threshold Time Series Models
Text Analysis with Rules and Dictionaries for Inferring
Sentiment
Dynamic Function-Oriented 'Make'-Like Declarative Pipelines
Replicate Tariff Method for Verbal Autopsy
Analysis and Prediction of Bicycle Rental Amount
Schedule R Scripts and Processes with the Windows Task Scheduler
Get Data Out of 'Tautulli' (Formerly 'PlexPy')
Classes for Storing and Manipulating Taxonomic Data
A High-Performance Local Taxonomic Database Interface
A Lightweight and Lightning-Fast Taxonomic Naming Interface
Feature-Wise Normalization for Microbiome Sequencing Data
Functions to Work with NCBI Accessions and Taxonomy
Lyrics and Song Data for Taylor Swift's Discography
A Taylor-Russell Function for Multiple Predictors
Color Palettes Generated by Taylor Swift Albums
Estimation of Causal Effects with Outcomes Truncated by Death
Pre- And Post-Processing in Bayesian Evolutionary Analyses
Tree Branches Evaluated Statistically for Tightness
TBF Methodology Extension for Multinomial Outcomes
Convert Tibbles or Data Frames to Xts Easily
Useful Functions for Programming and Generating Documents
Rearrangement Distances Between Unrooted Phylogenetic Trees
Retrieve Genomic and Clinical Data from CBioPortal Including
TCGA Data
Visualization Tool for the Cancer Genome Atlas Program (TCGA)
Tropical Cyclone (Hurricane, Typhoon) Spatial Hazard Modelling
Client for the Cancer Imaging Archive REST API
Spacekime Analytics, Time Complexity and Inferential Uncertainty
Testing in Conditional Likelihood Context
Data from the 2010 Tourism Forecasting Competition
Access to the 'twelvedata' Financial Data API
Statistical Tools for Topological Data Analysis
Machine Learning and Inference for Topological Data Analysis
Prepare Your Time-Series Data for Further Analysis
Uniform Manifold Samplers for Topological Data Analysis
Vector Summaries of Persistence Diagrams
Companion Package for the Book "Data Integration, Manipulation
and Visualization of Phylogenetic Trees" by Guangchuang Yu
(2022, ISBN:9781032233574)
The Transition Diagnostic Classification Model Framework
Automating the Creation of Stan Code for TDCMs
Gene Network Inference from Time-Series Transcriptomic Data
Wicked Fast, Accurate Quantiles Using t-Digests
Systematic Comparison of Trip Distribution Laws and Models
Granier's Sap Flow Sensors (TDP) Analysis
Nonparametric Estimation of Time-Dependent ROC, Brier Score, and
Survival Difference from Right Censored Time-to-Event Data with
or without Competing Risks
Time Delay Spatio Temporal Neural Network
Insertion/Deletion Dynamics for Transposable Elements
A Collection of Amended Histograms Designed for Teaching
Statistics
Demonstrations for Teaching and Learning
Selection of Samples and Parameter Estimation in Finite
Population
Fits Neural Networks to Learn About Backpropagation
Exploratory Web Apps for Analyzing Clinical Trials Data
Code Storage and Execution Class for 'teal' Applications
Logging Setup for the 'teal' Family of Packages
'teal' Modules for Standard Clinical Outputs
Functions for Extracting and Merging Data in the 'teal'
Framework
Solve for Leaf Temperature Using Energy Balance
Multiple Hypothesis Testing on an Aggregation Tree Method
Send Formatted Messages, Images and Objects to Microsoft 'Teams'
Analyzing the Orientation of Maximum Horizontal Stress
An Implementation of the Typicality and Eccentricity Data
Analysis Framework
Fit and Tune Models to Detect Treatment Effect Heterogeneity
Model-Based Clustering and Classification with the Multivariate
t Distribution
API Wrapper for Taiwan Economic Journal Data Service
Estimation and Prediction for Remote Effects Spatial Process
Models
Filter and Analyze Generalised Telemetry Data from Organisms
Bayesian Mixtures with an Unknown Number of Components
Social Representation Theory Application: The Free Evocation of
Words Technique
Retrieval and Visualization of Mobility Data from 'Telraam'
Sensors