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"name": "R-consort",
"description": "Create CONSORT diagram"
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{
"name": "R-constants",
"description": "Reference on constants, units and uncertainty"
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"name": "R-constellation",
"description": "Identify event sequences using time series joins"
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"name": "R-constructive",
"description": "Display idiomatic code to construct most R objects"
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"name": "R-contfrac",
"description": "Continued Fractions"
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"name": "R-contingency",
"description": "Methods for discrete multivariate probability distributions"
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"name": "R-ContourFunctions",
"description": "Create contour plots from data or a function"
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"name": "R-conTree",
"description": "Contrast trees and boosting"
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"name": "R-convdistr",
"description": "Convolute probabilistic distributions"
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"name": "R-ConvergenceConcepts",
"description": "A pedagogical package, designed to help students understanding convergence of random variables"
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"name": "R-cooltools",
"description": "Practical tools for scientific computations and visualizations"
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"name": "R-coop",
"description": "Co-Operation: fast covariance, correlation and cosine similarity operations"
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"name": "R-CoopGame",
"description": "Important concepts of Cooperative Game theory"
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"name": "R-coopProductGame",
"description": "Computes cooperative games and allocation rules associated with linear production programming problems"
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"name": "R-copBasic",
"description": "General bivariate copula theory and many utility functions"
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"name": "R-copre",
"description": "Tools for non-parametric martingale posterior sampling"
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"name": "R-copula",
"description": "Multivariate dependence with copulas"
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{
"name": "R-CopulaCenR",
"description": "Copula-based regression models for multivariate censored data"
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"name": "R-copulaData",
"description": "Data-sets for copula modelling"
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"name": "R-CopulaGAMM",
"description": "Copula-based mixed regression models"
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"name": "R-Corbi",
"description": "Collection of rudimentary bioinformatics tools"
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{
"name": "R-cord",
"description": "Community estimation in g-models via CORD"
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"name": "R-CORElearn",
"description": "Classification, regression and feature evaluation"
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"name": "R-cornet",
"description": "Elastic net with dichotomised outcomes"
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"name": "R-coro",
"description": "Coroutines for R"
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"name": "R-corpcor",
"description": "Efficient estimation of covariance and (partial) correlation"
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"name": "R-CorrBin",
"description": "Nonparametrics with clustered binary and multinomial data"
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"name": "R-correlation",
"description": "Methods for correlation analysis"
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{
"name": "R-correlbinom",
"description": "Correlated Binomial probabilities"
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{
"name": "R-corrgram",
"description": "Plot a correlogram"
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{
"name": "R-corrplot",
"description": "Visualization of a correlation matrix"
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{
"name": "R-corrViz",
"description": "Visualise correlations"
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{
"name": "R-costat",
"description": "Time series costationarity determination"
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{
"name": "R-CoTiMA",
"description": "Continuous Time Meta-Analysis"
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{
"name": "R-cotram",
"description": "Count transformation models"
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{
"name": "R-countrycode",
"description": "Convert country names and country codes"
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{
"name": "R-countSTAR",
"description": "Flexible modelling of count data"
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{
"name": "R-covadap",
"description": "Covariate-Adaptive Randomization"
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{
"name": "R-covglasso",
"description": "Sparse covariance matrix estimation"
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"name": "R-covr",
"description": "Test coverage for packages"
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"name": "R-CovRegRF",
"description": "Covariance Regression with Random Forests"
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"name": "R-CovTools",
"description": "Statistical tools for covariance analysis"
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{
"name": "R-cowplot",
"description": "Streamlined plot theme and plot annotations for ggplot2"
},
{
"name": "R-coxerr",
"description": "Cox regression with dependent error in covariates"
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{
"name": "R-coxme",
"description": "Mixed-effects Cox models"
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{
"name": "R-coxphf",
"description": "Cox regression with Firthʼs penalized likelihood"
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{
"name": "R-coxphSGD",
"description": "Stochastic gradient descent log-likelihood estimation in Cox proportional hazards model"
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{
"name": "R-cPCG",
"description": "Efficient and customized preconditioned conjugate gradient method for solving system of linear equations"
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}