Markdown Parser and Renderer for R Graphics

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

A Hybrid Spatial Model for Capturing Spatially Varying
Relationships Between Variables in the Data
R package MARSGWR version 0.1.0

Marginal Mediation Effects with Zero-Inflated Compositional
Mediator

Mandallaz' Model-Assisted Small Area Estimators

Generating Cluster Masks for Single-Cell Dimensional Reduction
Plots

Visual Class for Vectors with Non-Publishing Requirements

Support Functions and Datasets for Venables and Ripley's MASS

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

Calculate Mass Properties and Uncertainties of Tree Structures

Body Mass Estimation Equations for Vertebrates

Quality Control and Analysis of Massachusetts Water Quality Data

Model-Averaged Tail Area (MATA) Confidence Interval and
Distribution
R package MATA version 0.7.1

Estimate Group Average Treatment Effects with Matching

Multivariate and Propensity Score Matching with Balance
Optimization

Nonparametric Preprocessing for Parametric Causal Inference

Combining Matching and Linear Regression for Causal Inference

Optimal Multilevel Matching using a Network Algorithm

Pattern Matching and Enumerated Types in R

Matching and Weighting Multiply Imputed Datasets

A Code Converter from the Matlab/Octave Language to R

Assess Mating Potential in Space and Time

R package materialmodifier version 1.2.0

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

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

Mathematics PhD Genealogy Data and Plotting

An Interface for MATLAB using System Calls

Matrix Functions for Teaching and Learning Linear Algebra and
Multivariate Statistics
R package matlib version 1.0.1

Model Averaging-Assisted Optimal Transfer Learning

Generates Raven-Like Matrices According to Rules

Sparse and Dense Matrix Classes and Methods

Collection of Functions for Matrix Calculations

Collection of Correlation and Association Estimators

R package MatrixCorrelation version 0.10.1

Determines Clustering Threshold Based on Similarity Values