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MDMR (version 0.5.2)

Multivariate Distance Matrix Regression

Description

Allows users to conduct multivariate distance matrix regression using analytic p-values and compute measures of effect size. For details on the method, see McArtor, Lubke, & Bergeman (2017) .

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Version

Install

install.packages('MDMR')

Monthly Downloads

274

Version

0.5.2

License

GPL (>= 2)

Issues

4

Pull Requests

0

Stars

6

Forks

1

Maintainer

Daniel McArtor

Last Published

March 28th, 2025

Functions in MDMR (0.5.2)

summary.mixed.mdmr

Summarizing Mixed MDMR Results
print.mdmr

Print MDMR Object
gower

Compute Gower's centered similarity matrix from a distance matrix
X.clust

Simulated clustered predictor data to illustrate the Mixed-MDMR function
.pmdmr

Function to compute analytic p-values using Davies (1980)
.pseudo.r2

function to compute pseudo R-square
delta

Compute univariate MDMR effect sizes
.hat

Function to the hat matrix
.mdmr.permstats

Function to compute test statistics for a permuted design matrix
MDMR-package

Multivariate Distance Matrix Regression
Y.clust

Simulated clustered outcome data to illustrate the Mixed-MDMR function
X.mdmr

Simulated predictor data to illustrate the MDMR package.
Y.mdmr

Simulated outcome data to illustrate the MDMR package.
mixed.mdmr

Fit Mixed-MDMR models
print.mixed.mdmr

Print Mixed MDMR Object
mdmr

Conduct MDMR with analytic p-values
summary.mdmr

Summarizing MDMR Results