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Linear Model Evaluation with Randomized Residuals in a Permutation Procedure

1packages depend
21.8Kdownloads / year
37.5%test coverage
13/13flavors OK

Overview

About

Linear model calculations are made for many random versions of data. Using residual randomization in a permutation procedure, sums of squares are calculated over many permutations to generate empirical probability distributions for evaluating model effects. Additionally, coefficients, statistics, fitted values, and residuals generated over many permutations can be used for various procedures including pairwise tests, prediction, classification, and model comparison. This package should provide most tools one could need for the analysis of high-dimensional data, especially in ecology and evolutionary biology, but certainly other fields, as well.

Install

Health

CRAN checks
13OK
Slowest check: 7.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.2.0
READMEYes · 103 wordsVignettesYes · 2 · dynamicNEWSYes · 100% structured · does not mention 2.2.0Citation fileYes · cites a publication
Help pages
113 (1 internal)includes a package overview page
Examples that run
30%11 run in a plain check · 21 never run · 5 hold no code
Exported functions with examples
43%
Documented parameters
100%
Return-value docs
31%
Help pages citing references
29%

Downloads

21.8K
CRAN downloads in the past year
Rank #2,477 · ~60/day · ~1.8K/mo
Daily download trend is not available in this view yet.
2.9K30 days
6.5K90 days
21.8K1 year
Compare downloads with other packages →
Also on370 r2u1 autocran194 c2d4u

Repository

4Stars
1Forks
2Open issues
0Open PRs
23Releases
534Commits
1Commit identities
534 commits · Last activity 2026-10-16 · The default branch showed an older version (2.1.2.999) than CRAN on 2026-10-18
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
2
Median days to close, 50 most recently updated closed PRs
634

Releases over time

2026-07-14 · 222026-07-22 · 23
PracticesBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/mlcollyer/rrpp on 2026-10-18.

Docs source (1)

GitHub Pages site last deployed 2026-10-16

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing RRPP adds 27 packages (15 with compiled code, 27 MB of source tarballs). Heaviest: ggplot2 6.0 MB, lme4 4.1 MB, nloptr 2.1 MB.

Depends (1)
R >= 4.4.0
Imports (5)
parallelapeggplot2Matrixlme4
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
3indirect
Depends 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (2)
Author, Maintainer since 0.1.0 (2018)
Author
Releases (32)

Pick two releases to compare their code metrics.

  • 2.2.0Latest
    record
    2026-07-03 · current release · diff ↗ ·
    added 8 exports
    fixef.lmm.rrpp, lmm.rrpp, looCV_table, powerTrans, print.betaTest, print.summary.betaTest, ranef.lmm.rrpp, summary.betaTest
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 2.1.2
    record
    2025-02-19 · diff ↗
  • 2.1.1
    record
    2025-02-09 · diff ↗
  • 2.1.0
    record
    2025-02-01 · diff ↗ ·
    added 11 exports
    betaTest, kcomp, pairwise.model.Z, plot.kcomp, plot.ordinate, print.ICCstats, print.model.comparison, print.pairwise.model.Z, summary.ICCstats, summary.model.comparison, summary.pairwise.model.Z
  • 2.0.4
    record
    2024-11-14 · diff ↗ ·
    added 1 export
    mahal_dist
  • 2.0.3
    record
    2024-06-22 · diff ↗ ·
    added 1 export
    QRforX
  • 2.0.2
    record
    2024-06-12 · diff ↗
  • 2.0.1
    record
    2024-06-04 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 2.0.0
    record
    2024-02-06 · diff ↗ ·
    added 5 exports
    ICCstats, anova.measurement.error, effect.size, lr_test, pval
  • 1.4.0
    record
    2023-08-15 · diff ↗ ·
    added 10 exports
    focusMEonSubjects, getANOVAStats, getModelCov, getModels, getPermInfo, getResCov, getTerms, interSubVar, lm.rrpp.ws, measurement.error
  • R
    R 4.3.0 released · 2023-04-21
  • 1.3.1
    record
    2022-09-12 · diff ↗
  • 1.3.0
    record
    2022-06-21 · diff ↗ ·
    added 1 export
    scaleCov
Show 26 earlier eventsHide 26 earlier events
  • R
    R 4.2.0 released · 2022-04-22
  • 1.2.3
    record
    2022-03-19 · diff ↗
  • 1.2.2
    record
    2022-03-10 · diff ↗
  • 1.2.1
    record
    2022-03-01 · diff ↗
  • 1.1.2
    record
    2021-11-04 · diff ↗
  • 1.1.1
    record
    2021-10-24 · diff ↗
  • 1.1.0
    record
    2021-10-09 · diff ↗ ·
    added 1 export
    looCV
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.0
    record
    2021-03-30 · diff ↗ ·
    added 1 export
    convert2ggplot
  • 0.6.2
    record
    2021-01-11 · diff ↗
  • 0.6.1
    record
    2020-06-24 · diff ↗
  • 0.6.0
    record
    2020-05-28 · diff ↗ ·
    added 2 exports
    add.tree, ordinate
  • R
    R 4.0.0 released · 2020-04-24
  • 0.5.2
    record
    2020-01-26 · diff ↗
  • 0.5.1
    record
    2020-01-19 · diff ↗
  • 0.5.0
    record
    2019-12-19 · diff ↗ ·
    added 1 export
    prep.lda
  • 0.4.3
    record
    2019-10-07 · diff ↗
  • 0.4.2
    record
    2019-05-19 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.4.1
    record
    2019-04-02 · diff ↗
  • 0.4.0
    record
    2019-03-24 · diff ↗ ·
    added 22 exports
    add.trajectories, manova.update, plot.lm.rrpp, plot.predict.lm.rrpp, print.anova.lm.rrpp, print.coef.lm.rrpp, print.lm.rrpp, print.pairwise, print.predict.lm.rrpp, print.summary.lm.rrpp, print.summary.pairwise, print.summary.trajectory.analysis, print.trajectory.analysis, reveal.model.designs, summary.anova.lm.rrpp, summary.coef.lm.rrpp, summary.lm.rrpp, summary.pairwise, summary.predict.lm.rrpp, summary.trajectory.analysis, trajectory.analysis, vec.cor.matrix
  • 0.3.0
    record
    2018-07-23 · diff ↗ ·
    added 3 exports
    anova.lm.rrpp, classify, model.comparison
  • R
    R 3.5.0 released · 2018-04-23
  • 0.2.0
    record
    2018-04-22 · diff ↗ ·
    added 1 export
    pairwise
  • 0.1.0
    record
    2018-01-22
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2018-01-22
Total releases
32 / 8 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.4.0
Bundled data
544 KB / 14 files
Download size
1.0 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' entry:

citation("RRPP")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1111/2041-210x.13029.

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 RRPP version 2.2.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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