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"description": "Procedure for multicollinearity testing using bootstrap"
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"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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"description": "Multivariate Time Series Data Imputation"
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"name": "R-muhaz",
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"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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"name": "R-multiApply",
"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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"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",
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"description": "Multilevel functions"
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"description": "Estimate Bayesian multilevel models for compositional data"
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"description": "Model wrappers for multi-level models"
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"description": "Mode testing and exploring"
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"name": "R-multinet",
"description": "Analysis and mining of multilayer social networks"
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"description": "Multivariate Polynomials"
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"name": "R-multitaper",
"description": "Spectral analysis tools using the multitaper method"
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{
"name": "R-MultivariateRandomForest",
"description": "Models multivariate cases using random forests"
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{
"name": "R-multiview",
"description": "Cooperative learning for multi-view analysis"
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{
"name": "R-multiway",
"description": "Component models for multi-way data"
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{
"name": "R-multiwayvcov",
"description": "Multi-way standard error clustering"
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{
"name": "R-multtest",
"description": "Resampling-based multiple hypothesis testing"
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{
"name": "R-MuMIn",
"description": "Tools for performing model selection and model averaging"
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{
"name": "R-munsell",
"description": "Utilities for using Munsell colors"
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{
"name": "R-mutoss",
"description": "Unified multiple testing procedures"
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"name": "R-mvabund",
"description": "Statistical methods for analysing multivariate abundance data"
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"name": "R-mvcauchy",
"description": "Multivariate Cauchy distribution"
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"name": "R-mvgam",
"description": "Multivariate (Dynamic) Generalized Additive Models"
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"name": "R-mvgb",
"description": "Generate multivariate sub-gaussian stable probabilities using the QRSVN algorithm"
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"name": "R-mvhtests",
"description": "Multivariate Hypothesis Tests"
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"name": "R-mvinfluence",
"description": "Influence measures and diagnostic plots for multivariate linear models"
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"description": "Multivariate linear model with analytic p-values"
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"name": "R-mvmesh",
"description": "Multivariate meshes and histograms in arbitrary dimensions"
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{
"name": "R-mvmeta",
"description": "Multivariate and univariate meta-analysis and meta-regression"
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{
"name": "R-mvnfast",
"description": "Fast multivariate Normal and Student t methods"
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"name": "R-mvnmle",
"description": "ML estimation for multivariate normal data with missing values"
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"name": "R-mvnormtest",
"description": "Normality test for multivariate variables"
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{
"name": "R-mvord",
"description": "Multivariate Ordinal regression models"
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