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"name": "R-cOde",
"description": "Automated C code generation for deSolve, bvpSolve"
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{
"name": "R-CodeDepends",
"description": "Analysis of R code for reproducible research and code comprehension"
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{
"name": "R-codetools",
"description": "Code analysis tools for R"
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{
"name": "R-coefficientalpha",
"description": "Robust coefficient alpha and omega with missing and non-normal data"
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{
"name": "R-coga",
"description": "Convolution of Gamma distributions"
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{
"name": "R-CoImp",
"description": "Copula-based imputation method"
},
{
"name": "R-coin",
"description": "Conditional inference procedures in a permutation test framework"
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{
"name": "R-collapse",
"description": "Advanced and fast data transformation"
},
{
"name": "R-collections",
"description": "High-performance container data types"
},
{
"name": "R-collin",
"description": "Visualization the effects of collinearity in distributed lag models and other linear models"
},
{
"name": "R-collinear",
"description": "Seamless multicollinearity management for categorical and numeric variables"
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{
"name": "R-colorDF",
"description": "Colorful data frames in R Terminal"
},
{
"name": "R-colorhex",
"description": "Colors and palettes from Color-Hex"
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{
"name": "R-colorRamps",
"description": "Builds gradient color maps"
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{
"name": "R-colorsGen",
"description": "Generation of random colors"
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{
"name": "R-colorspace",
"description": "Toolbox for manipulating and assessing colors and palettes"
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{
"name": "R-colourpicker",
"description": "Color picker tool for Shiny and for selecting colors in plots."
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{
"name": "R-colt",
"description": "Command-line color themes"
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{
"name": "R-comat",
"description": "Create co-occurrence matrices of spatial data"
},
{
"name": "R-comato",
"description": "Analysis of concept maps and concept landscapes"
},
{
"name": "R-combinat",
"description": "Combinatorics utilities"
},
{
"name": "R-common",
"description": "Solutions for common problems in the base R"
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{
"name": "R-commonmark",
"description": "High-performance CommonMark and GitHub markdown rendering in R"
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{
"name": "R-compare",
"description": "Comparing objects for differences"
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{
"name": "R-compareMCMCs",
"description": "Compare MCMC efficiency from nimble and/or other MCMC engines"
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{
"name": "R-comparison",
"description": "Multivariate likelihood ratio calculation and evaluation"
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"name": "R-CompDist",
"description": "Multisection composite distributions"
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{
"name": "R-ComplexHeatmap",
"description": "Complex heatmaps"
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{
"name": "R-complexlm",
"description": "Linear fitting for complex-valued data"
},
{
"name": "R-Compositional",
"description": "Compositional data analysis"
},
{
"name": "R-compositions",
"description": "Compositional data analysis"
},
{
"name": "R-compound.Cox",
"description": "Univariate feature selection and compound covariate for predicting survival"
},
{
"name": "R-CompPareto",
"description": "Discrete composite distributions with Pareto tails"
},
{
"name": "R-CompQuadForm",
"description": "Distribution function of quadratic forms in normal variables"
},
{
"name": "R-compute.es",
"description": "Compute effect sizes"
},
{
"name": "R-conclust",
"description": "Pairwise Constraints Clustering"
},
{
"name": "R-concom",
"description": "Connected Components of an undirected graph"
},
{
"name": "R-concordancer",
"description": "R-Rcpp implementation Concordance Correlation Coefficient"
},
{
"name": "R-cond",
"description": "Approximate conditional inference for logistic and loglinear models"
},
{
"name": "R-CondCopulas",
"description": "Estimation and inference for conditional copula models"
},
{
"name": "R-condMVNorm",
"description": "Conditional multivariate normal distribution"
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{
"name": "R-condTruncMVN",
"description": "Conditional truncated multivariate normal distribution"
},
{
"name": "R-coneproj",
"description": "Primal or dual cone projections with routines for constrained regression"
},
{
"name": "R-conf.design",
"description": "Construction of factorial designs"
},
{
"name": "R-config",
"description": "Manage environment-specific configuration values"
},
{
"name": "R-confintr",
"description": "R package for calculation of standard and bootstrap confidence intervals"
},
{
"name": "R-conflicted",
"description": "Alternative conflict resolution strategy"
},
{
"name": "R-conformalbayes",
"description": "Jackknife predictive intervals for Bayesian models"
},
{
"name": "R-ConfZIC",
"description": "Confidence envelopes for model selection criteria based on minimum ZIC"
},
{
"name": "R-conogive",
"description": "R package for the congeneric ogive model"
}
]
}