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{
"name": "R-car",
"description": "Companion to Applied Regression"
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{
"name": "R-caracas",
"description": "Computer algebra"
},
{
"name": "R-carat",
"description": "Covariate-adaptive randomization for clinical trials"
},
{
"name": "R-CARBayesdata",
"description": "Data used in the vignettes accompanying the CARBayes and CARBayesST packages"
},
{
"name": "R-carData",
"description": "Companion to Applied Regression Data Sets"
},
{
"name": "R-cards",
"description": "Analysis Results Data"
},
{
"name": "R-cardx",
"description": "Extra analysis results data (ARD) utilities"
},
{
"name": "R-care",
"description": "High-dimensional regression and CAR score variable selection"
},
{
"name": "R-careless",
"description": "Procedures for computing indices of careless responding"
},
{
"name": "R-caret",
"description": "Classification and Regression Training"
},
{
"name": "R-caretEnsemble",
"description": "Ensembles of caret models"
},
{
"name": "R-carfima",
"description": "Continuous-time fractionally integrated ARMA process for irregularly spaced long-memory time series data"
},
{
"name": "R-Carlson",
"description": "Carlson elliptic integrals and incomplete elliptic integrals"
},
{
"name": "R-CARM",
"description": "Covariate-adjusted adaptive randomization via Mahalanobis distance"
},
{
"name": "R-CARMS",
"description": "Continuous-time Markov rate modelling for reliability analysis"
},
{
"name": "R-caroline",
"description": "Collection of database, data structure, visualization and utility functions for R"
},
{
"name": "R-carrier",
"description": "Isolate functions for remote execution"
},
{
"name": "R-caseMatch",
"description": "Identify similar cases for qualitative case studies"
},
{
"name": "R-cat",
"description": "Analysis and imputation of categorical-variable datasets with missing values"
},
{
"name": "R-catdap",
"description": "Categorical data analysis program package"
},
{
"name": "R-catdata",
"description": "Regression for Categorical Data"
},
{
"name": "R-CatEncoders",
"description": "Encoders for categorical variables"
},
{
"name": "R-caTools",
"description": "Some tools like moving window statistics, GIF, Base64, ROC AUC etc."
},
{
"name": "R-cauchypca",
"description": "Robust principal component analysis using the Cauchy distribution"
},
{
"name": "R-causaleffect",
"description": "Deriving expressions of joint interventional distributions and transport formulas in causal models"
},
{
"name": "R-CausalQueries",
"description": "Make, update and query binary causal models"
},
{
"name": "R-cbass",
"description": "Multiclass Classification version of Bayesian Adaptive Smoothing Splines (CBASS)"
},
{
"name": "R-cbbinom",
"description": "Continuous analogue of a Beta-binomial distribution"
},
{
"name": "R-cbcTools",
"description": "Design and evaluate choice-based conjoint survey experiments"
},
{
"name": "R-cbinom",
"description": "Continuous analog of a binomial distribution"
},
{
"name": "R-cbl",
"description": "Causal discovery under a confounder blanket"
},
{
"name": "R-CBnetworkMA",
"description": "Contrast-based Bayesian network meta-analysis"
},
{
"name": "R-CBPS",
"description": "Covariate Balancing Propensity Score"
},
{
"name": "R-cbq",
"description": "Conditional Binary Quantile models"
},
{
"name": "R-CCA",
"description": "Canonical Correlation Analysis"
},
{
"name": "R-ccaPP",
"description": "Canonical Correlation Analysis via Projection Pursuit"
},
{
"name": "R-cccp",
"description": "Cone-Constrained Convex Problems"
},
{
"name": "R-CCd",
"description": "Cauchy-Cacoullos (discrete Cauchy) Distribution"
},
{
"name": "R-cdata",
"description": "Fluid data transformations"
},
{
"name": "R-cdgd",
"description": "Causal decomposition of group disparities"
},
{
"name": "R-CDM",
"description": "Cognitive Diagnosis Modelling"
},
{
"name": "R-cdmTools",
"description": "Useful tools for cognitive diagnosis modelling"
},
{
"name": "R-celestial",
"description": "Collection of common astronomical conversion routines and functions"
},
{
"name": "R-cellranger",
"description": "Helper functions to work with spreadsheets"
},
{
"name": "R-cellWise",
"description": "Analyzing data with cellwise outliers"
},
{
"name": "R-CenBAR",
"description": "Broken adaptive ridge AFT model with censored data"
},
{
"name": "R-censobr",
"description": "Download data from Brazilʼs Population Census"
},
{
"name": "R-censored",
"description": "R-parsnip engines for survival models"
},
{
"name": "R-censReg",
"description": "Censored regression (Tobit) models"
},
{
"name": "R-CEoptim",
"description": "Optimization solver based on the cross-entropy method"
}
]
}