Matrix eQTL: Ultra Fast eQTL Analysis via Large Matrix
Operations

Parsimonious Families of Hidden Markov Models for Matrix-Variate
Longitudinal Data
R package MatrixHMM version 1.0.0

Normalized Laplacian Matrix and Laplacian Map

Model-Based Clustering via Matrix-Variate Mixture Models

Modelling with Sparse and Dense Matrices

Working with Matrices over Finite Prime Fields

Simulations of Matrix Variate Distributions

Creating, Manipulating and Annotating Matrix Ensemble

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

Tests of Matrix Structure for Construct Validation

Fast Statistical Hypothesis Tests on Rows and Columns of
Matrices

Literature Matrix Synthesis Tools for Epidemiology and Health
Science Research
R package matriz version 1.0.1

An Implementation of Matrix Mathematics that Respects Row and
Column Names

Clustering with Matrix Gaussian and Matrix Transformation
Mixture Models

Decision Models with Multi Attribute Utility Theory

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

Efficient Bootstrap Methods for Block Maxima

The Group Sequential Max-Combo Test for Comparing Survival
Curves

Additional Predictor with Maximum Effect Size

Perform Phonological Analyses using Maximum Entropy Optimality
Theory

Selecting the Best Set of Relevant Environmental Variables along
with the Optimal Regularization Multiplier for Maxent Niche
Modeling
R package MaxentVariableSelection version 1.0-3

Space-Filling Design under Maximin Distance

Inference for Maximin Effects in High-Dimensional Settings

Maximum Likelihood Estimation and Related Tools

Model Species Distributions by Estimating the Probability of
Occurrence Using Presence-Only Data
R package maxlike version 0.1-12

Maximum Matching for General Weighted Graph

Fitting 'Maxent' Species Distribution Models with 'glmnet'

Maximizing Polyclonal Selection Gains Using Integer Programming

Orthogonal Data Projections with Maximal Skewness

Apply a PCA Like Procedure Suited for Multivariate Extreme Value
Distributions

Machine Learning Method Based on Isolation Kernel Mean Embedding