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"name": "R-manifold",
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{
"name": "R-manipulate",
"description": "Interactive plots for RStudio"
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{
"name": "R-manipulateWidget",
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"name": "R-manymome",
"description": "Mediation, moderation and moderated mediation after model fitting"
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{
"name": "R-manynet",
"description": "Many ways to make, manipulate and map myriad networks"
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{
"name": "R-maotai",
"description": "Tools for matrix algebra, optimization and inference"
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{
"name": "R-MAPA",
"description": "Multiple Aggregation Prediction Algorithm"
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{
"name": "R-mapdata",
"description": "Supplement to maps package, providing some larger and/or higher-resolution databases"
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{
"name": "R-mapproj",
"description": "Map Projections"
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{
"name": "R-maps",
"description": "Draw geographical maps"
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{
"name": "R-maptiles",
"description": "Download and display map tiles"
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{
"name": "R-maptools",
"description": "Tools for handling spatial objects"
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{
"name": "R-maptree",
"description": "Mapping, pruning and graphing tree models"
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{
"name": "R-maq",
"description": "Multi-Armed Qini"
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{
"name": "R-marg",
"description": "Approximate marginal inference for regression-scale models"
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{
"name": "R-marginaleffects",
"description": "Predictions, comparisons, slopes, marginal means and hypothesis tests"
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{
"name": "R-margins",
"description": "Marginal effects for model objects"
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{
"name": "R-mark",
"description": "Miscellaneous functions and wrappers for development in other packages"
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{
"name": "R-markdown",
"description": "Render markdown with commonmark"
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{
"name": "R-markovchain",
"description": "Bootstrap unit root tests"
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{
"name": "R-markovmix",
"description": "Mixture of Markov chains with support of higher orders and multiple sequences"
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{
"name": "R-marqLevAlg",
"description": "Parallelized general-purpose optimization based on Marquardt–Levenberg algorithm"
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{
"name": "R-marray",
"description": "Exploratory analysis for two-color spotted microarray data"
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"description": "Multivariate Auto-Regressive State-Space modelling"
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{
"name": "R-mashr",
"description": "Multivariate Adaptive Shrinkage"
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{
"name": "R-MASS",
"description": "Functions and datasets to support MASS (2002)"
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{
"name": "R-MassSpecWavelet",
"description": "Peak detection for mass spectrometry data using wavelet-based algorithms"
},
{
"name": "R-mastif",
"description": "Analyze production and dispersal of seeds dispersed from trees and recovered in seed traps"
},
{
"name": "R-matahari",
"description": "Conveniently log everything you type into the R console"
},
{
"name": "R-Matching",
"description": "Multivariate and propensity score matching with balance optimization"
},
{
"name": "R-MatchIt",
"description": "Non-parametric preprocessing for parametric causal inference"
},
{
"name": "R-mathjaxr",
"description": "Using Mathjax in Rd Files"
},
{
"name": "R-matlab",
"description": "MATLAB emulation package"
},
{
"name": "R-matlab2r",
"description": "Translation layer from MATLAB to R"
},
{
"name": "R-matlib",
"description": "Matrix functions for teaching and learning linear algebra and multivariate statistics"
},
{
"name": "R-matman",
"description": "Material Management"
},
{
"name": "R-Matrix",
"description": "Sparse and dense matrix classes and methods"
},
{
"name": "R-matrixcalc",
"description": "Collection of functions for matrix calculations"
},
{
"name": "R-MatrixCorrelation",
"description": "Matrix Correlation coefficients"
},
{
"name": "R-matrixdist",
"description": "Statistics for matrix distributions"
},
{
"name": "R-MatrixExtra",
"description": "Methods and operators for the sparse matrix classes"
},
{
"name": "R-MatrixGenerics",
"description": "S4 generic summary statistic functions that operate on matrix-like objects"
},
{
"name": "R-MatrixModels",
"description": "Modelling with sparse and dense matrices"
},
{
"name": "R-matrixNormal",
"description": "Matrix normal distribution"
},
{
"name": "R-matrixProfile",
"description": "Matrix Profile"
},
{
"name": "R-matrixprofiler",
"description": "Matrix profile for R"
},
{
"name": "R-matrixsampling",
"description": "Simulations of matrix variate distributions"
},
{
"name": "R-matrixset",
"description": "Creating and manipulating matrix ensemble"
}
]
}