All packages

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MatchLinReg — 0.8.1

Combining Matching and Linear Regression for Causal Inference

matchmaker — 0.1.1

Flexible Dictionary-Based Cleaning

matchMulti — 1.1.12

Optimal Multilevel Matching using a Network Algorithm

matchr — 0.1.0

Pattern Matching and Enumerated Types in R

MatchThem — 1.2.1

Matching and Weighting Multiply Imputed Datasets

matconv — 0.4.2

A Code Converter from the Matlab/Octave Language to R

mateable — 0.3.2

Assess Mating Potential in Space and Time

materialmodifier — 1.2.0

Apply Photo Editing Effects

mathjaxr — 1.6-0

Using 'Mathjax' in Rd Files

mathml — 1.2

Translate R Expressions to 'MathML' and 'LaTeX'/'MathJax'

mathpix — 0.6.0

Support for the 'Mathpix' API (Image to 'LaTeX')

matlab — 1.0.4

'MATLAB' Emulation Package

matlab2r — 1.5.0

Translation Layer from MATLAB to R

matlabr — 1.5.2

An Interface for MATLAB using System Calls

matlib — 0.9.6

Matrix Functions for Teaching and Learning Linear Algebra and Multivariate Statistics

matman — 1.1.3

Material Management

matpow — 0.1.2

Matrix Powers

matrans — 0.1.0

Model Averaging-Assisted Optimal Transfer Learning

matricks — 0.8.2

Useful Tricks for Matrix Manipulation

matRiks — 0.1.3

Generates Raven-Like Matrices According to Rules

matrisk — 0.1.0

Macroeconomic-at-Risk

Matrix — 1.7-0

Sparse and Dense Matrix Classes and Methods

matrixcalc — 1.0-6

Collection of Functions for Matrix Calculations

MatrixCorrelation — 0.10.0

Matrix Correlation Coefficients

matrixcut — 0.0.1

Determines Clustering Threshold Based on Similarity Values

matrixdist — 1.1.9

Statistics for Matrix Distributions

MatrixEQTL — 2.3

Matrix eQTL: Ultra Fast eQTL Analysis via Large Matrix Operations

MatrixExtra — 0.1.15

Extra Methods for Sparse Matrices

matrixLaplacian — 1.0

Normalized Laplacian Matrix and Laplacian Map

MatrixLDA — 0.2

Penalized Matrix-Normal Linear Discriminant Analysis

MatrixMixtures — 1.0.0

Model-Based Clustering via Matrix-Variate Mixture Models

MatrixModels — 0.5-3

Modelling with Sparse and Dense Matrices

matrixNormal — 0.1.1

The Matrix Normal Distribution

matrixProfile — 0.5.0

Matrix Profile

matrixprofiler — 0.1.9

Matrix Profile for R

matrixsampling — 2.0.0

Simulations of Matrix Variate Distributions

matrixset — 0.3.0

Creating, Manipulating and Annotating Matrix Ensemble

matrixStats — 1.3.0

Functions that Apply to Rows and Columns of Matrices (and to Vectors)

matrixStrucTest — 1.0.0

Tests of Matrix Structure for Construct Validation

matrixTests — 0.2.3

Fast Statistical Hypothesis Tests on Rows and Columns of Matrices

matsbyname — 0.6.10

An Implementation of Matrix Mathematics that Respects Row and Column Names

matsindf — 0.4.8

Matrices in Data Frames

MatSkew — 0.1.5

Matrix Skew-T Parameter Estimation

matuR — 0.0.1.0

Athlete Maturation and Biobanding

mau — 0.1.2

Decision Models with Multi Attribute Utility Theory

MAVE — 1.3.11

Methods for Dimension Reduction

maxcombo — 1.0

The Group Sequential Max-Combo Test for Comparing Survival Curves

MaxentVariableSelection — 1.0-3

Selecting the Best Set of Relevant Environmental Variables along with the Optimal Regularization Multiplier for Maxent Niche Modeling

maximin — 1.0-5

Space-Filling Design under Maximin Distance

MaximinInfer — 2.0.0

Inference for Maximin Effects in High-Dimensional Settings

maxLik — 1.5-2.1

Maximum Likelihood Estimation and Related Tools

maxlike — 0.1-11

Model Species Distributions by Estimating the Probability of Occurrence Using Presence-Only Data

maxmatching — 0.1.0

Maximum Matching for General Weighted Graph

maxnet — 0.1.4

Fitting 'Maxent' Species Distribution Models with 'glmnet'

maxnodf — 1.0.0

Approximate Maximisation of Nestedness in Bipartite Graphs

MaxPro — 4.1-2

Maximum Projection Designs

MaxSkew — 1.1

Orthogonal Data Projections with Maximal Skewness

maxstat — 0.7-25

Maximally Selected Rank Statistics

maybe — 1.1.0

The Maybe Monad

MazamaCoreUtils — 0.5.2

Utility Functions for Production R Code

MazamaLocationUtils — 0.4.3

Manage Spatial Metadata for Known Locations

MazamaRollUtils — 0.1.3

Efficient Rolling Functions

MazamaSpatialPlots — 0.2.0

Thematic Plots for Mazama Spatial Datasets

MazamaSpatialUtils — 0.8.6

Spatial Data Download and Utility Functions

MazamaTimeSeries — 0.3.0

Core Functionality for Environmental Time Series

MAZE — 0.0.2

Mediation Analysis for Zero-Inflated Mediators

mazealls — 0.2.0

Generate Recursive Mazes

mazeGen — 0.1.3

Elithorn Maze Generator

mazeinda — 0.0.2

Monotonic Association on Zero-Inflated Data

mazing — 1.0.5

Utilities for Making and Plotting Mazes

MB — 0.1.1

The Use of Marginal Distributions in Conditional Forecasting

MBA — 0.1-0

Multilevel B-Spline Approximation

MBAnalysis — 2.0.2

Multiblock Exploratory and Predictive Data Analysis

mbbe — 0.1.0

Model Based Bio-Equivalence

mbbefd — 0.8.11

Maxwell Boltzmann Bose Einstein Fermi Dirac Distribution and Destruction Rate Modelling

MBC — 0.10-6

Multivariate Bias Correction of Climate Model Outputs

mbend — 1.3.1

Matrix Bending

MBESS — 4.9.3

The MBESS R Package

mbest — 0.6

Moment-Based Estimation for Hierarchical Models

MBHdesign — 2.3.15

Spatial Designs for Ecological and Environmental Surveys

mbir — 1.3.5

Magnitude-Based Inferences

mblm — 0.12.1

Median-Based Linear Models

MBmca — 1.0.1-3

Nucleic Acid Melting Curve Analysis

MBMethPred — 0.1.4.2

Medulloblastoma Subgroups Prediction

mbmixture — 0.4

Microbiome Mixture Analysis

MBNMAdose — 0.4.3

Dose-Response MBNMA Models

MBNMAtime — 0.2.4

Run Time-Course Model-Based Network Meta-Analysis (MBNMA) Models

mboost — 2.9-9

Model-Based Boosting

mbr — 0.0.1

Mass Balance Reconstruction

mbrdr — 1.1.1

Model-Based Response Dimension Reduction

mbreaks — 1.0.0

Estimation and Inference for Structural Breaks in Linear Regression Models

mbRes — 0.1.7

Exploration of Multiple Biomarker Responses using Effect Size

mbrglm — 0.0.1

Median Bias Reduction in Binomial-Response GLMs

MBSGS — 1.1.0

Multivariate Bayesian Sparse Group Selection with Spike and Slab

MBSP — 4.0

Multivariate Bayesian Model with Shrinkage Priors

mbsts — 3.0

Multivariate Bayesian Structural Time Series

mBvs — 1.92

Bayesian Variable Selection Methods for Multivariate Data

mc.heterogeneity — 0.1.2

A Monte Carlo Based Heterogeneity Test for Meta-Analysis

mc2d — 0.2.0

Tools for Two-Dimensional Monte-Carlo Simulations

MCARtest — 1.2.1

Optimal Nonparametric Testing of Missing Completely at Random

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