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"name": "R-RNewsflow",
"description": "Tools for comparing text messages across time and media"
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{
"name": "R-RNGforGPD",
"description": "Random number generation for the generalized Poisson distribution"
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"name": "R-rngtools",
"description": "Utility functions for working with random number generators"
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"name": "R-rngWELL",
"description": "Toolbox for WELL random number generators"
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{
"name": "R-rnmamod",
"description": "Bayesian network meta-analysis with missing participants"
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"name": "R-rnndescent",
"description": "Nearest neighbor descent method for approximate nearest neighbors"
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{
"name": "R-ROAuth",
"description": "R interface for OAuth"
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{
"name": "R-RobAStBase",
"description": "Robust Asymptotic Statistics"
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{
"name": "R-RobAStRDA",
"description": "Interpolation grids for the R-RobASt family of packages"
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{
"name": "R-robber",
"description": "Use block model to estimate the robustness of ecological network"
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{
"name": "R-robcor",
"description": "Robust Correlations"
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{
"name": "R-robeth",
"description": "R functions for robust statistics"
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{
"name": "R-RobExtremes",
"description": "Optimally robust estimation for extreme value distributions"
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{
"name": "R-robin",
"description": "ROBustness in Network"
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{
"name": "R-RobLox",
"description": "Optimally robust influence curves and estimators for location and scale"
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{
"name": "R-RoBMA",
"description": "Robust Bayesian Meta-Analyses"
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{
"name": "R-robmixglm",
"description": "Robust generalized linear models (GLM) using a mixture method"
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{
"name": "R-RoBSA",
"description": "Robust Bayesian survival analysis"
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{
"name": "R-robslopes",
"description": "Fast algorithms for robust slopes"
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{
"name": "R-RobStatTM",
"description": "Robust Statistics – Theory and Methods (2nd ed.)"
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{
"name": "R-robStepSplitReg",
"description": "Robust stepwise split regularized regression"
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{
"name": "R-robsurvey",
"description": "Robust survey statistics estimation"
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{
"name": "R-RoBTT",
"description": "Robust Bayesian t-test"
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"name": "R-robumeta",
"description": "Robust variance meta-regression"
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"name": "R-robust",
"description": "Methods for robust statistics, a state of the art in the early 2000s, notably for robust regression and robust multivariate analysis."
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{
"name": "R-robustbase",
"description": "Basic robust statistics"
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{
"name": "R-RobustBayesianCopas",
"description": "Robust Bayesian Copas selection model"
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{
"name": "R-robustbetareg",
"description": "Robust Beta regression"
},
{
"name": "R-robustBLME",
"description": "Robust Bayesian linear mixed-effects models using ABC"
},
{
"name": "R-RobustCalibration",
"description": "Robust calibration of imperfect mathematical models"
},
{
"name": "R-robustfa",
"description": "Object-oriented solution for robust factor analysis"
},
{
"name": "R-RobustGaSP",
"description": "Robust Gaussian stochastic process emulation"
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{
"name": "R-robustHD",
"description": "Robust methods for high-dimensional data"
},
{
"name": "R-robustlmm",
"description": "Robust linear mixed effects models"
},
{
"name": "R-robustmatrix",
"description": "Robust matrix-variate parameter estimation"
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{
"name": "R-robustmeta",
"description": "Robust inference for meta-analysis with influential outlying studies"
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{
"name": "R-robustrao",
"description": "Extended Rao–Stirling diversity index to handle missing data"
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{
"name": "R-robustsae",
"description": "Robust Bayesian Small Area Estimation"
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{
"name": "R-robustvarComp",
"description": "Robust estimation of variance component models"
},
{
"name": "R-robustX",
"description": "eXtra/eXperimental functionality for robust statistics"
},
{
"name": "R-robvis",
"description": "Visualize results of Risk-of-Bias (ROB) assessments"
},
{
"name": "R-rocc",
"description": "ROC-based classification"
},
{
"name": "R-rockchalk",
"description": "Regression estimation and presentation"
},
{
"name": "R-ROCR",
"description": "Visualizing the performance of scoring classifiers"
},
{
"name": "R-RODBC",
"description": "ODBC database interface"
},
{
"name": "R-rODE",
"description": "Ordinary differential equation (ODE) solvers written in R using S4 classes"
},
{
"name": "R-ROI",
"description": "R Optimization Infrastructure"
},
{
"name": "R-ROI.models.globalOptTests",
"description": "ROI optimization problems based on R-globalOptTests"
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{
"name": "R-ROI.models.miplib",
"description": "Access to MIPLIB from ROI"
}
]
}