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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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            "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"
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        {
            "name": "R-microbenchmark",
            "description": "Infrastructure to accurately measure and compare the execution time of R expressions"
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            "name": "R-micss",
            "description": "Modified Iterative Cumulative Sum of Squares algorithm"
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            "name": "R-migraph",
            "description": "Tools for multimodal network analysis"
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            "name": "R-miic",
            "description": "Learning causal or non-causal graphical models using information theory"
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        {
            "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"
        },
        {
            "name": "R-mime",
            "description": "Map filenames to MIME types"
        },
        {
            "name": "R-mimi",
            "description": "Main effects and interactions in mixed and incomplete data"
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        {
            "name": "R-minb",
            "description": "Multiple-Inflated Negative Binomial Model"
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        {
            "name": "R-minerva",
            "description": "Maximal information-based non-parametric exploration for variable analysis"
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        {
            "name": "R-minimax",
            "description": "Minimax distribution family"
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            "name": "R-minimaxApprox",
            "description": "Implementation of Remez algorithm for polynomial and rational function approximation"
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        {
            "name": "R-minioclient",
            "description": "Interface to the MinIO client"
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        {
            "name": "R-miniUI",
            "description": "Shiny UI widgets for small screens"
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        {
            "name": "R-minMSE",
            "description": "Implementation of the minMSE treatment assignment method for one or multiple treatment groups"
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            "name": "R-minpack.lm",
            "description": "R interface to the Levenberg–Marquardt non-linear least-squares algorithm found in MINPACK"
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        {
            "name": "R-minqa",
            "description": "Derivative-Free Optimization Algorithms by Quadratic Approximation"
        },
        {
            "name": "R-minty",
            "description": "Minimal Type Guesser"
        },
        {
            "name": "R-mipfp",
            "description": "Multidimensional iterative proportional fitting and alternative models"
        },
        {
            "name": "R-mirai",
            "description": "Minimalist async evaluation framework for R"
        },
        {
            "name": "R-mirai.promises",
            "description": "Allows mirai objects from the R-mirai, encapsulating asynchronous computations, to be used interchangeably with promise objects from the R-promises"
        },
        {
            "name": "R-MIRES",
            "description": "Measurement invariance assessment using random effects models and shrinkage"
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        {
            "name": "R-mirt",
            "description": "Multidimensional Item Response Theory"
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        {
            "name": "R-mirtCAT",
            "description": "Computerized adaptive testing with multidimensional item response theory"
        },
        {
            "name": "R-mirtjml",
            "description": "Joint maximum likelihood estimation for high-dimensional item factor analysis"
        },
        {
            "name": "R-mirtsvd",
            "description": "SVD-based estimation for exploratory item factor analysis"
        },
        {
            "name": "R-misc3d",
            "description": "Collection of miscellaneous 3D plots, including isosurfaces"
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        {
            "name": "R-miscFuncs",
            "description": "Miscellaneous useful functions including LaTeX tables, Kalman filtering and development tools"
        },
        {
            "name": "R-miscTools",
            "description": "Miscellaneous tools and utilities"
        },
        {
            "name": "R-miselect",
            "description": "Variable selection for multiply imputed data"
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