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"name": "R-powerindexR",
"description": "Measure the power in voting systems"
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"name": "R-poweRlaw",
"description": "Analysis of heavy-tailed distributions"
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{
"name": "R-ppcor",
"description": "Partial and semi-partial correlation"
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"name": "R-ppgam",
"description": "Generalised additive point process models"
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"name": "R-ppls",
"description": "Penalized Partial Least Squares"
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{
"name": "R-PPMiss",
"description": "Copula-based estimator for long-range dependent processes under missing data"
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{
"name": "R-ppmSuite",
"description": "Collection of models that employ product partition distributions as a prior on partitions"
},
{
"name": "R-ppRep",
"description": "Analysis of replication studies using power priors"
},
{
"name": "R-pql",
"description": "Partitioned quasi-likelihood for distributed statistical inference"
},
{
"name": "R-pqrBayes",
"description": "Bayesian penalized quantile regression"
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{
"name": "R-prabclus",
"description": "Functions for clustering and testing of presence/absence, abundance and multilocus genetic data"
},
{
"name": "R-pracma",
"description": "Practical numerical math functions"
},
{
"name": "R-praise",
"description": "Praise users"
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{
"name": "R-pre",
"description": "Prediction Rule Ensembles"
},
{
"name": "R-PreciseSums",
"description": "Accurate floating point sums and products"
},
{
"name": "R-precrec",
"description": "Accurate calculations and visualization of precision-recall and ROC curves"
},
{
"name": "R-prediction",
"description": "Tidy, type-safe prediction() methods"
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{
"name": "R-predint",
"description": "Prediction intervals"
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{
"name": "R-predtools",
"description": "Prediction model tools"
},
{
"name": "R-prefio",
"description": "Structures for preference data"
},
{
"name": "R-prefmod",
"description": "Utilities to fit paired comparison models for preferences"
},
{
"name": "R-PReMiuM",
"description": "Dirichlet process Bayesian clustering, profile regression"
},
{
"name": "R-preprocessCore",
"description": "Collection of pre-processing functions"
},
{
"name": "R-PResiduals",
"description": "Probability-scale residuals and residual correlations"
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{
"name": "R-presmTP",
"description": "Function for estimating the transition probabilities in an illness-death model"
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{
"name": "R-prettycode",
"description": "Pretty print R code in the Terminal"
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{
"name": "R-prettydoc",
"description": "Creating pretty HTML from R markdown"
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{
"name": "R-prettyglm",
"description": "Pretty summaries of generalized linear model coefficients"
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{
"name": "R-prettyGraphs",
"description": "Publication-quality graphics"
},
{
"name": "R-prettyunits",
"description": "Pretty, human readable formatting of quantities"
},
{
"name": "R-pRF",
"description": "Permutation Significance for Random Forests"
},
{
"name": "R-PriceIndices",
"description": "Calculate bilateral and multilateral price indices"
},
{
"name": "R-priceR",
"description": "Economics and pricing tools"
},
{
"name": "R-primefactr",
"description": "Use prime factorization for simplifying computations"
},
{
"name": "R-primes",
"description": "Fast functions for prime numbers"
},
{
"name": "R-PRIMME",
"description": "PReconditioned Iterative MultiMethod Eigensolver for solving symmetric/Hermitian eigenvalue problems and singular value problems"
},
{
"name": "R-princurve",
"description": "Fit a principal curve in arbitrary dimension"
},
{
"name": "R-printr",
"description": "Automatically print R objects to appropriate formats according to the knitr output format"
},
{
"name": "R-PriorGen",
"description": "Generate prior distributions for proportions"
},
{
"name": "R-priorsense",
"description": "Prior diagnostics and sensitivity analysis"
},
{
"name": "R-prismatic",
"description": "Color manipulation tools"
},
{
"name": "R-PRNG",
"description": "Pseudo-Random Number Generator"
},
{
"name": "R-probably",
"description": "Tools for post-processing class probability estimates"
},
{
"name": "R-ProbBayes",
"description": "Functions and datasets to accompany Probability and Bayesian Modeling (2019)"
},
{
"name": "R-probout",
"description": "Unsupervised multivariate outlier probabilities"
},
{
"name": "R-pROC",
"description": "Display and analyze ROC curves"
},
{
"name": "R-processx",
"description": "Execute and control system processes"
},
{
"name": "R-procmaps",
"description": "Portable address space mapping"
},
{
"name": "R-procs",
"description": "Recreate some SAS procedures in R"
},
{
"name": "R-prodest",
"description": "Production function estimation"
}
]
}