All packages

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marquee — 0.1.0

Markdown Parser and Renderer for R Graphics

marradistrees — 1.0

Plots a Tree-Like Representation of a Numerical Variable (Marradi's Tree)

MARSANNhybrid — 0.1.0

MARS Based ANN Hybrid Model

MARSGWR — 0.1.0

A Hybrid Spatial Model for Capturing Spatially Varying Relationships Between Variables in the Data

MARSS — 3.11.9

Multivariate Autoregressive State-Space Modeling

MARSSVRhybrid — 0.1.0

MARS SVR Hybrid

MARVEL — 1.4.0

Revealing Splicing Dynamics at Single-Cell Resolution

MarZIC — 1.0.0

Marginal Mediation Effects with Zero-Inflated Compositional Mediator

mas — 0.3

Marker Association Studies

maSAE — 2.0.3

Mandallaz' Model-Assisted Small Area Estimators

mase — 0.1.5.2

Model-Assisted Survey Estimators

mashr — 0.2.79

Multivariate Adaptive Shrinkage

maskr — 0.1.0

Visual Class for Vectors with Non-Publishing Requirements

maskRangeR — 1.1

Mask Species Geographic Ranges

MASS — 7.3-61

Support Functions and Datasets for Venables and Ripley's MASS

masscor — 0.0.7.1

Mass Measurement Corrections

MASSExtra — 1.2.2

Some 'MASS' Enhancements

Massign — 1.1.0

Simple Matrix Construction

massiveGST — 1.2.3

Competitive Gene Sets Test with the Mann-Whitney-Wilcoxon Test

MASSTIMATE — 2.0-1

Body Mass Estimation Equations for Vertebrates

MassWateR — 2.1.5

Quality Control and Analysis of Massachusetts Water Quality Data

mastif — 2.3

Mast Inference and Forecasting

MAT — 2.3.2

Multidimensional Adaptive Testing

MATA — 0.7.1

Model-Averaged Tail Area (MATA) Confidence Interval and Distribution

matahari — 0.1.3

Spy on Your R Session

matchedcc — 0.1.1

'Stata'-Like Matched Case-Control Analysis

matchFeat — 1.0

One-to-One Feature Matching

MatchGATE — 0.0.10

Estimate Group Average Treatment Effects with Matching

Matching — 4.10-15

Multivariate and Propensity Score Matching with Balance Optimization

matchingMarkets — 1.0-4

Analysis of Stable Matchings

matchingR — 1.3.3

Matching Algorithms in R and C++

MatchIt — 4.6.0

Nonparametric Preprocessing for Parametric Causal Inference

MatchLinReg — 0.8.1

Combining Matching and Linear Regression for Causal Inference

matchmaker — 0.1.1

Flexible Dictionary-Based Cleaning

matchMulti — 1.1.12.1

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 — 1.0.4.1

'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 — 1.0.0

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 — 1.7-1

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

MatrixHMM — 1.0.0

Parsimonious Families of Hidden Markov Models for Matrix-Variate Longitudinal Data

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

matrixmodp — 0.2.0

Working with Matrices over Finite Prime Fields

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 — 1.4.1

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

mauricer — 2.5.4

Work with 'BEAST2' Packages

MAVE — 1.3.11

Methods for Dimension Reduction

maxaltall — 0.1.0

'FASTA' ML and ‘altall’ Sequences from IQ-TREE .state Files

maxcombo — 1.0

The Group Sequential Max-Combo Test for Comparing Survival Curves

maxent.ot — 1.0.0

Perform Phonological Analyses using Maximum Entropy Optimality Theory

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

MaxMC — 0.1.2

Maximized Monte Carlo

maxnet — 0.1.4

Fitting 'Maxent' Species Distribution Models with 'glmnet'

MaxPro — 4.1-2

Maximum Projection Designs

MaxSkew — 1.1

Orthogonal Data Projections with Maximal Skewness

maxstablePCA — 0.1.1

Apply a PCA Like Procedure Suited for Multivariate Extreme Value Distributions

maxstat — 0.7-25

Maximally Selected Rank Statistics

MaxWiK — 1.0.5

Machine Learning Method Based on Isolation Kernel Mean Embedding

maybe — 1.1.0

The Maybe Monad

MazamaCoreUtils — 0.5.2

Utility Functions for Production R Code

MazamaLocationUtils — 0.4.4

Manage Spatial Metadata for Known Locations

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