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