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MDMR (version 0.5.1)

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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Install

install.packages('MDMR')

Monthly Downloads

274

Version

0.5.1

License

GPL (>= 2)

Issues

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Maintainer

Daniel McArtor

Last Published

February 14th, 2018

Functions in MDMR (0.5.1)

gower

Compute Gower's centered similarity matrix from a distance matrix
print.mdmr

Print MDMR Object
mixed.mdmr

Fit Mixed-MDMR models
Y.mdmr

Simulated outcome data to illustrate the MDMR package.
delta

Compute univariate MDMR effect sizes
MDMR-package

Multivariate Distance Matrix Regression
X.clust

Simulated clustered predictor data to illustrate the Mixed-MDMR function
print.mixed.mdmr

Print Mixed MDMR Object
summary.mdmr

Summarizing MDMR Results
Y.clust

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

Simulated predictor data to illustrate the MDMR package.
summary.mixed.mdmr

Summarizing Mixed MDMR Results
mdmr

Conduct MDMR with analytic p-values