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"description": "Facilitate extraction of key information from common datasets"
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"description": "Statistical significance of clustering"
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"name": "R-signal",
"description": "Signal processing"
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{
"name": "R-signs",
"description": "Insert proper minus signs"
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"description": "Statistical inference in high-dimensional regression"
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"description": "Common forms for complex hierarchical and relational data structures"
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"name": "R-simcdm",
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"name": "R-SimComp",
"description": "Simultaneous comparisons for multiple endpoints"
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"description": "Safe implementation of Monte Carlo tests"
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"description": "Structure for organizing Monte Carlo simulation designs"
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"name": "R-simode",
"description": "Statistical inference for systems of ordinary differential equations using separable integral-matching"
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"name": "R-simpleCache",
"description": "Simply caching R objects"
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"description": "Simple engine for generating reports using R"
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"name": "R-simts",
"description": "Time series analysis tools"
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"name": "R-SingleCellExperiment",
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"name": "R-singR",
"description": "Simultaneous non-gaussian component analysis"
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"name": "R-sirt",
"description": "Supplementary Item Response Theory models"
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{
"name": "R-SIS",
"description": "Sure Independence Screening"
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"name": "R-sitar",
"description": "Super-imposition by translation and rotation growth curve analysis"
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"name": "R-sitmo",
"description": "Parallel pseudo-random number generator (PPRNG) sitmo headers"
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"name": "R-sjlabelled",
"description": "Labelled data utility functions"
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"name": "R-sjmisc",
"description": "Data and variable transformation functions"
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"name": "R-sjPlot",
"description": "Data visualization for statistics in social science"
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"description": "Collection of convenient functions for common statistical computations"
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"name": "R-sjtable2df",
"description": "Convert sjPlot HTML tables to R-data.frame"
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"name": "R-skellam",
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"name": "R-skewlmm",
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"description": "Estimation for scale-shape mixtures of skew-normal distributions"
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{
"name": "R-skewt",
"description": "Skewed Student-t Distribution"
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{
"name": "R-skimr",
"description": "Compact and flexible summaries of data"
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{
"name": "R-skmeans",
"description": "Spherical k-means clustering"
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{
"name": "R-SKNN",
"description": "Super K-Nearest Neighbor (SKNN) classification algorithm"
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{
"name": "R-sl3",
"description": "Pipelines for machine learning and super learning"
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}