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"name": "R-semptools",
"description": "Customize structural equation modelling plots"
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"description": "Goodness-of-fit testing for structural equation models"
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"description": "Useful tools for structural equation modeling"
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"name": "R-semtree",
"description": "Recursive partitioning for structural equation models"
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{
"name": "R-sendmailR",
"description": "Send e-mail from R"
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{
"name": "R-sensitivity",
"description": "Global sensitivity analysis of model outputs"
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"name": "R-sentometrics",
"description": "Integrated framework for textual sentiment time series aggregation and prediction"
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{
"name": "R-sentopics",
"description": "Tools for joint sentiment and topic analysis of textual data"
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{
"name": "R-SeqArray",
"description": "Data management of large-scale whole-genome sequence variant calls"
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{
"name": "R-seqHMM",
"description": "Mixture hidden Markov models for social sequence data and other multivariate, multichannel categorical time series"
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{
"name": "R-seqICP",
"description": "Sequential Invariant Causal Prediction"
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{
"name": "R-seqinr",
"description": "Genomic data retrieval"
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"name": "R-SequenceSpikeSlab",
"description": "Exact Bayesian model selection methods for the sparse normal sequence model"
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"name": "R-seriation",
"description": "Infrastructure for ordering objects using seriation"
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"name": "R-serp",
"description": "Smooth Effects on Response Penalty for CLM"
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"description": "Simple HTTP server to serve static files or dynamic documents"
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"name": "R-sessioninfo",
"description": "R Session Information"
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"name": "R-set6",
"description": "R6 object-oriented interface for mathematical sets"
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"name": "R-SetMethods",
"description": "Functions for set-theoretic multi-method research and advanced QCA"
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{
"name": "R-setRNG",
"description": "Set normal random number generator and seed"
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{
"name": "R-sets",
"description": "Sets, generalized sets, customizable sets and intervals"
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{
"name": "R-settings",
"description": "Software option settings manager for R"
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"name": "R-Seurat",
"description": "Tools for Single Cell Genomics"
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"name": "R-SeuratObject",
"description": "Data structures for single cell data"
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"description": "Simple features for R"
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"name": "R-sfaR",
"description": "Stochastic Frontier Analysis using R"
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"name": "R-sfarrow",
"description": "Read/write Simple Feature Objects with Apache Arrow"
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"name": "R-sfd",
"description": "Space-Filling Design library"
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{
"name": "R-sfheaders",
"description": "Build sf objects from R and Rcpp"
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{
"name": "R-sfnetworks",
"description": "Tidy geospatial networks"
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{
"name": "R-sfsmisc",
"description": "Utilities from Seminar für Statistik, ETH Zürich"
},
{
"name": "R-sft",
"description": "Functions for systems factorial technology analysis of data"
},
{
"name": "R-sftime",
"description": "Classes and methods for simple feature objects that have a time column"
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{
"name": "R-sftrack",
"description": "Modern classes for tracking and movement data"
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{
"name": "R-SGB",
"description": "Simplicial Generalized Beta regression"
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{
"name": "R-sgboost",
"description": "Sparse-Group Boosting"
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{
"name": "R-sgd",
"description": "Stochastic gradient descent for scalable estimation"
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{
"name": "R-sgee",
"description": "Stagewise Generalized Estimating Equations"
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{
"name": "R-sgeostat",
"description": "Object-oriented framework for geostatistical modelling"
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{
"name": "R-SGL",
"description": "Fit a regularized generalized linear model via penalized maximum likelihood"
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{
"name": "R-sglasso",
"description": "Lasso method for RCON(V,E) models"
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{
"name": "R-sgmodel",
"description": "Solve a generic stochastic growth model with a representative agent"
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{
"name": "R-sgof",
"description": "Multiple hypothesis testing"
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{
"name": "R-sgt",
"description": "Skewed generalized t distribution tree"
},
{
"name": "R-shades",
"description": "Simple color manipulation in R"
},
{
"name": "R-shadowtext",
"description": "Shadow text grob and layer"
},
{
"name": "R-shape",
"description": "Functions for plotting graphical shapes, colors"
},
{
"name": "R-shapefiles",
"description": "Read and write ESRI shapefiles"
},
{
"name": "R-shapes",
"description": "Statistical shape analysis"
},
{
"name": "R-ShapleyValue",
"description": "Shapley value regression for relative importance of attributes"
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]
}