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"name": "R-dsmmR",
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{
"name": "R-dst",
"description": "Use the theory of belief Functions for evidence calculus"
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{
"name": "R-dstabledist",
"description": "Discrete stable distribution functions"
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"name": "R-DstarM",
"description": "Analyze two choice reaction time data with the D*M method"
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{
"name": "R-dSTEM",
"description": "Multiple testing of local extrema for detection of change points"
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"name": "R-DT",
"description": "Wrapper for the JavaScript library DataTables"
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{
"name": "R-dtplyr",
"description": "Data table back-end for dplyr"
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{
"name": "R-DTSg",
"description": "Class for working with time series data based on data.table and R6 with largely optional reference semantics"
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{
"name": "R-dtt",
"description": "Discrete Trigonometric Transforms"
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{
"name": "R-dttr2",
"description": "Manipulate date, POSIXct and R-hms vectors"
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{
"name": "R-dtts",
"description": "High-frequency time series support via nanotime and data.table"
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{
"name": "R-dtw",
"description": "Dynamic Time Warping algorithms"
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{
"name": "R-dtwclust",
"description": "Time series clustering along with optimizations for the dynamic time warping distance"
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{
"name": "R-dual",
"description": "Automatic differentiation with dual numbers"
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{
"name": "R-dual.spls",
"description": "Dual Sparse Partial Least Squares regression"
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{
"name": "R-dualtrees",
"description": "Decimated and undecimated 2D complex dual-tree wavelet transform"
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{
"name": "R-duckdb",
"description": "DBI package for the DuckDB database management system"
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{
"name": "R-duckdbfs",
"description": "High-performance remote file system access using DuckDB"
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{
"name": "R-duckplyr",
"description": "Drop-in replacement for R-dplyr"
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{
"name": "R-dunn.test",
"description": "Dunn’s test of multiple comparisons using rank sums"
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{
"name": "R-dygraphs",
"description": "Interface to dygraphs interactive time series charting library"
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"name": "R-dymo",
"description": "Dynamic mode decomposition for multivariate time feature prediction"
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"name": "R-dyn",
"description": "Time series regression"
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"name": "R-dynamac",
"description": "Dynamic simulation and testing for single-equation ARDL models"
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"name": "R-dynamite",
"description": "Bayesian modeling and causal inference for multivariate longitudinal data"
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"name": "R-dynCorr",
"description": "Dynamic Correlation package"
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{
"name": "R-DynDoc",
"description": "Dynamic document tools"
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{
"name": "R-dynlm",
"description": "Dynamic linear models and time series regression"
},
{
"name": "R-dynmix",
"description": "Estimation of dynamic finite mixtures"
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{
"name": "R-dynsbm",
"description": "Dynamic Stochastic Block Models"
},
{
"name": "R-dynsurv",
"description": "Dynamic models for survival data"
},
{
"name": "R-e1071",
"description": "Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien"
},
{
"name": "R-earth",
"description": "Multivariate adaptive regression splines"
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{
"name": "R-easy.utils",
"description": "Frequently used functions for easy R programming"
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{
"name": "R-easyanova",
"description": "Analysis of variance and other important complementary analyses"
},
{
"name": "R-easybgm",
"description": "Extract and visualize Bayesian graphical models"
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{
"name": "R-easycsv",
"description": "Load multiple .csv and .txt tables"
},
{
"name": "R-easydb",
"description": "Easily connect to common types of databases"
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{
"name": "R-easyNCDF",
"description": "Tools to easily read/write NetCDF files into/from multidimensional R arrays"
},
{
"name": "R-easystats",
"description": "Framework for easy statistical modelling, visualization and reporting"
},
{
"name": "R-ebal",
"description": "Entropy reweighting to create balanced samples"
},
{
"name": "R-ebdbNet",
"description": "Empirical Bayes Estimation of Dynamic Bayesian Networks"
},
{
"name": "R-EBEN",
"description": "Empirical Bayesian Elastic Net"
},
{
"name": "R-EBglmnet",
"description": "Empirical Bayesian lasso and elastic net methods for generalized linear models"
},
{
"name": "R-EBImage",
"description": "Image processing and analysis toolbox for R"
},
{
"name": "R-ebmstate",
"description": "Empirical Bayes Multi-state Cox model"
},
{
"name": "R-ebnm",
"description": "Solve the Empirical Bayes Normal Means problem"
},
{
"name": "R-ebreg",
"description": "Implementation of the Empirical Bayes method"
},
{
"name": "R-eBsc",
"description": "Empirical Bayes smoothing splines with correlated errors"
},
{
"name": "R-ebTobit",
"description": "Empirical Bayesian tobit matrix estimation"
}
]
}