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"name": "R-MeSHDbi",
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"name": "R-meta",
"description": "General package for meta-analysis"
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"name": "R-metabias",
"description": "R package with common components of metabias packages"
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"name": "R-metaBLUE",
"description": "BLUE for combining location and scale information in a meta-analysis"
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"name": "R-metaBMA",
"description": "Bayesian model averaging for random and fixed effects meta-analysis"
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"name": "R-metacor",
"description": "Meta-analysis of correlation coefficients"
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"name": "R-metadat",
"description": "Meta-analysis datasets"
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{
"name": "R-metafor",
"description": "Meta-analysis package for R"
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"name": "R-metamedian",
"description": "Meta-analysis of medians"
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{
"name": "R-metaplus",
"description": "Robust meta-analysis and meta-regression"
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{
"name": "R-metapod",
"description": "Meta-analyses on p-values of differential analyses"
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{
"name": "R-metarep",
"description": "Replicability-analysis tools for meta-analysis"
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{
"name": "R-metatest",
"description": "Fit and test metaregression models"
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{
"name": "R-MetaUtility",
"description": "Utility functions for conducting and interpreting meta-analyses"
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{
"name": "R-metR",
"description": "Tools for easier analysis of meteorological fields"
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{
"name": "R-metrica",
"description": "Prediction performance metrics"
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"name": "R-MetricGraph",
"description": "Random fields on metric graphs"
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"name": "R-Metrics",
"description": "Evaluation metrics for machine learning"
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"name": "R-MetricsWeighted",
"description": "Weighted metrics, scoring functions and performance measures for machine learning"
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{
"name": "R-metRology",
"description": "Support for metrological applications"
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{
"name": "R-mets",
"description": "Analysis of Multivariate Event Times"
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{
"name": "R-mev",
"description": "Knowledge discovery by accuracy maximization"
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{
"name": "R-mexhaz",
"description": "Mixed effect excess hazard models"
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{
"name": "R-MFDFA",
"description": "Multi-Fractal Detrended Fluctuation Analysis"
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"name": "R-mfGARCH",
"description": "Mixed-Frequency GARCH models"
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"name": "R-mFilter",
"description": "Miscellaneous time series filters"
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"name": "R-mfp",
"description": "Multivariable Fractional Polynomials"
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{
"name": "R-mfx",
"description": "Marginal effects, odds ratios and incidence rate ratios for GLMs"
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{
"name": "R-mgcv",
"description": "Mixed GAM Computation Vehicle with automatic smoothness estimation"
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{
"name": "R-mgcViz",
"description": "Visualisations for generalized additive models"
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{
"name": "R-mggd",
"description": "Multivariate Generalised Gaussian Distribution"
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{
"name": "R-mglmn",
"description": "Model averaging for multivariate GLM with null models"
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{
"name": "R-mgm",
"description": "Estimating time-varying k-order mixed graphical models"
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{
"name": "R-MGMM",
"description": "Missingness-aware Gaussian Mixture Models"
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{
"name": "R-MHD",
"description": "Metric Halfspace Depth"
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{
"name": "R-mHMMbayes",
"description": "Multilevel Hidden Markov Models via Bayesian estimation"
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{
"name": "R-Mhorseshoe",
"description": "Approximate algorithm for horseshoe prior"
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{
"name": "R-mhsmm",
"description": "Inference for Hidden Markov and Semi-Markov models"
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{
"name": "R-mhurdle",
"description": "Multiple Hurdle Tobit models"
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{
"name": "R-mi",
"description": "Missing data imputation and model checking"
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{
"name": "R-mice",
"description": "Multivariate Imputation by Chained Equations"
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{
"name": "R-miceadds",
"description": "Additional multiple imputation functions for R-mice"
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{
"name": "R-micEcon",
"description": "Microeconomic analysis and modelling"
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{
"name": "R-micEconCES",
"description": "Analysis with the constant elasticity of substitution (CES) function"
},
{
"name": "R-microbenchmark",
"description": "Infrastructure to accurately measure and compare the execution time of R expressions"
},
{
"name": "R-micss",
"description": "Modified Iterative Cumulative Sum of Squares algorithm"
},
{
"name": "R-migraph",
"description": "Tools for multimodal network analysis"
},
{
"name": "R-miic",
"description": "Learning causal or non-causal graphical models using information theory"
},
{
"name": "R-MIIVsem",
"description": "Model Implied Instrumental Variable (MIIV) estimation of Structural Equation Models"
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{
"name": "R-milr",
"description": "Multiple-Instance Logistic Regression with lasso penalty"
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}