The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

MDMR: Multivariate Distance Matrix Regression

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) <doi:10.1007/s11336-016-9527-8>.

Version: 0.5.1
Depends: R (≥ 3.0.0)
Imports: CompQuadForm, parallel, lme4, car
Suggests: knitr, rmarkdown
Published: 2018-02-14
DOI: 10.32614/CRAN.package.MDMR
Author: Daniel B. McArtor (dmcartor@gmail.com) [aut, cre]
Maintainer: Daniel B. McArtor <dmcartor at gmail.com>
BugReports: http://github.com/dmcartor/mdmr/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://github.com/dmcartor/mdmr
NeedsCompilation: no
CRAN checks: MDMR results

Documentation:

Reference manual: MDMR.pdf
Vignettes: Using the MDMR Package

Downloads:

Package source: MDMR_0.5.1.tar.gz
Windows binaries: r-devel: MDMR_0.5.1.zip, r-release: MDMR_0.5.1.zip, r-oldrel: MDMR_0.5.1.zip
macOS binaries: r-release (arm64): MDMR_0.5.1.tgz, r-oldrel (arm64): MDMR_0.5.1.tgz, r-release (x86_64): MDMR_0.5.1.tgz, r-oldrel (x86_64): MDMR_0.5.1.tgz
Old sources: MDMR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MDMR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.