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MDMR  

Multivariate Distance Matrix Regression
View on CRAN: Click here


Download and install MDMR package within the R console
Install from CRAN:
install.packages("MDMR")

Install from Github:
library("remotes")
install_github("cran/MDMR")

Install by package version:
library("remotes")
install_version("MDMR", "0.5.2")



Attach the package and use:
library("MDMR")
Maintained by
Daniel B. McArtor
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-01-28
Latest Update: 2025-03-28
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) .
How to cite:
Daniel B. McArtor (2016). MDMR: Multivariate Distance Matrix Regression. R package version 0.5.2, https://cran.r-project.org/web/packages/MDMR. Accessed 18 Sep. 2026.
Previous versions and publish date:
0.2.1 (2016-01-28 00:21), 0.3.0 (2016-02-03 22:47), 0.3.3 (2016-03-23 22:30), 0.4.0 (2016-03-31 19:15), 0.4.1 (2016-08-05 22:53), 0.4.2 (2016-08-12 16:44), 0.4.3 (2016-09-20 00:59), 0.5.0 (2017-03-16 03:19), 0.5.1 (2018-02-14 19:16), (2026-07-09 08:09)
Other packages that cited MDMR R package
View MDMR citation profile
Other R packages that MDMR depends, imports, suggests or enhances
Complete documentation for MDMR
Functions, R codes and Examples using the MDMR R package
Some associated functions: MDMR-package . X.clust . X.mdmr . Y.clust . Y.mdmr . delta . gower . mdmr . mixed.mdmr . print.mdmr . print.mixed.mdmr . summary.mdmr . summary.mixed.mdmr . 
Some associated R codes: MDMR-package.R . mdmr.R .  Full MDMR package functions and examples
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