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"description": "Ratios of coefficients in the general linear model"
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"description": "Multivariate Regression with Covariance Estimation"
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"name": "R-mreg",
"description": "Fit regression models when the outcome is partially missing"
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"description": "Markov random fields with additional covariates"
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"description": "Depth measures in multivariate, regression and functional settings"
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"name": "R-mRpostman",
"description": "IMAP client for R"
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"name": "R-msBP",
"description": "Multiscale Bernstein polynomials for densities"
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{
"name": "R-mschart",
"description": "Chart generation for MS Word and MS PowerPoint documents"
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{
"name": "R-MSCMT",
"description": "Multivariate Synthetic Control Method using Time series"
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{
"name": "R-MsCoreUtils",
"description": "Core utils for mass spectrometry data"
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{
"name": "R-msm",
"description": "Multi-State Markov and hidden Markov models in continuous time"
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{
"name": "R-mstate",
"description": "Data preparation, estimation and prediction in multi-state models"
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{
"name": "R-mstudentd",
"description": "Multivariate t Distribution"
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{
"name": "R-MSwM",
"description": "Fitting Markov Switching Models"
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{
"name": "R-MTest",
"description": "Procedure for multicollinearity testing using bootstrap"
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{
"name": "R-MTPS",
"description": "Multi-task prediction using stacking algorithms"
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"description": "All-purpose toolkit for analyzing multivariate time series (MTS) and estimating multivariate volatility models"
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{
"name": "R-mtsdi",
"description": "Multivariate Time Series Data Imputation"
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{
"name": "R-muhaz",
"description": "Hazard function estimation in survival analysis"
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{
"name": "R-multcomp",
"description": "Simultaneous inference in general parametric models"
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{
"name": "R-multcompView",
"description": "Visualizations of paired comparisons"
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"name": "R-multgee",
"description": "GEE solver for correlated nominal or ordinal multinomial responses"
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"description": "Apply functions to multiple multidimensional arrays or vectors"
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"name": "R-MultiAssayExperiment",
"description": "Software for the integration of multi-omics experiments"
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"name": "R-multibias",
"description": "Simultaneous multi-bias adjustment"
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{
"name": "R-multibiasmeta",
"description": "Sensitivity analysis for multiple biases in meta-analyses"
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"name": "R-multicool",
"description": "Permutations of multisets in Cool-lex order"
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{
"name": "R-multidplyr",
"description": "Multi-process dplyr backend"
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{
"name": "R-multigraph",
"description": "Plot and manipulate multigraphs"
},
{
"name": "R-multigraphr",
"description": "Probability models and statistical analysis of random multigraphs"
},
{
"name": "R-MultiLCIRT",
"description": "Multidimensional Latent Class Item Response Theory models"
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{
"name": "R-multilevel",
"description": "Multilevel functions"
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{
"name": "R-multilevelcoda",
"description": "Estimate Bayesian multilevel models for compositional data"
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{
"name": "R-multilevelmod",
"description": "Model wrappers for multi-level models"
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{
"name": "R-multimode",
"description": "Mode testing and exploring"
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{
"name": "R-multinet",
"description": "Analysis and mining of multilayer social networks"
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{
"name": "R-multinma",
"description": "Bayesian network meta-analysis of individual and aggregate data"
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{
"name": "R-multinomialLogitMix",
"description": "Clustering multinomial count data under the presence of covariates"
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{
"name": "R-multipleDL",
"description": "Addressing detection limits by cumulative probability models (CPMs)"
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{
"name": "R-multiplex",
"description": "Algebraic tools for the analysis of multiple social networks"
},
{
"name": "R-multipol",
"description": "Multivariate Polynomials"
},
{
"name": "R-multitaper",
"description": "Spectral analysis tools using the multitaper method"
},
{
"name": "R-MultivariateRandomForest",
"description": "Models multivariate cases using random forests"
},
{
"name": "R-multiview",
"description": "Cooperative learning for multi-view analysis"
},
{
"name": "R-multiway",
"description": "Component models for multi-way data"
},
{
"name": "R-multiwayvcov",
"description": "Multi-way standard error clustering"
},
{
"name": "R-multtest",
"description": "Resampling-based multiple hypothesis testing"
},
{
"name": "R-MuMIn",
"description": "Tools for performing model selection and model averaging"
},
{
"name": "R-munsell",
"description": "Utilities for using Munsell colors"
}
]
}