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Multivariate Distance Matrix Regression

1packages depend
3.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 2.3 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.5.2
README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWS· In the repository, left out of the releaseCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
17includes a package overview page
Examples that run
100%6 run in a plain check
Exported functions with examples
75%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
47%

Downloads

3.4K
CRAN downloads in the past year
Rank #11,970 · ~9/day · ~280/mo
Daily download trend is not available in this view yet.
34830 days
92190 days
3.4K1 year
Compare downloads with other packages →
Also on87 r2u5 autocran1.1K conda_forge

Repository

7Stars
1Forks
4Open issues
0Open PRs
0Releases
70Commits
3Commit identities
70 commits · Last activity 2018-02-13 · 0% stars, 30d · The default branch showed an older version (0.5.1) than CRAN on 2026-10-22
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
0
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2025-05-05 · 72026-07-07 · 7
PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/dmcartor/mdmr on 2026-10-22.

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing MDMR adds 61 packages (33 with compiled code, 55 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, doBy 4.3 MB.

Depends (3)
Imports (2)
parallelcar
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (1)
Author, Maintainer · added in 0.5.2

Maintainer since 0.2.1 (2016)

Listed in earlier versions (1)
Daniel B. McArtor
no longer listed · 0.2.1 to 0.5.1
Releases (10)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.5.2Latest
    record
    2025-03-28 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 0.5.1
    record
    2018-02-14 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 0.5.0
    record
    2017-03-16 · diff ↗ ·
    added 1 export
    mixed.mdmr
  • 0.4.3
    record
    2016-09-20 · diff ↗
  • 0.4.2
    record
    2016-08-12 · diff ↗
  • 0.4.1
    record
    2016-08-05 · diff ↗
Show 6 earlier eventsHide 6 earlier events

Package metadata

First published
2016-01-28
Total releases
10 / 10 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.0.0
Bundled data
75 KB / 2 files
Download size
224 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MDMR")
McArtor, D. (2025). MDMR: Multivariate Distance Matrix Regression (Version 0.5.2) [Computer software]. https://doi.org/10.32614/CRAN.package.MDMR

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MDMR version 0.5.2 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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