RRPP: Linear Model Evaluation with Randomized Residuals in a Permutation Procedure
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. This packaged is described by Collyer & Adams (2018). 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.
| Version: | 2.0.4 |
| Depends: | R (≥ 4.4.0) |
| Imports: | parallel, ape, ggplot2, Matrix |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.2.0), dplyr, tibble |
| Published: | 2024-11-14 |
| DOI: | 10.32614/CRAN.package.RRPP |
| Author: | Michael Collyer 
[aut, cre],
Dean Adams [aut] |
| Maintainer: | Michael Collyer <mlcollyer at gmail.com> |
| License: | GPL (≥ 3) |
| URL: | https://github.com/mlcollyer/RRPP |
| NeedsCompilation: | no |
| Citation: | RRPP citation info |
| Materials: | README NEWS |
| In views: | Phylogenetics |
| CRAN checks: | RRPP results |
Documentation:
| Reference manual: | RRPP.pdf |
| Vignettes: |
ANOVA versus MANOVA in RRPP (source, R code) Using RRPP (source, R code) |
Downloads:
| Package source: | RRPP_2.0.4.tar.gz |
| Windows binaries: | r-devel: RRPP_2.0.4.zip, r-release: RRPP_2.0.4.zip, r-oldrel: RRPP_2.0.2.zip |
| macOS binaries: | r-release (arm64): RRPP_2.0.4.tgz, r-oldrel (arm64): RRPP_2.0.0.tgz, r-release (x86_64): RRPP_2.0.4.tgz, r-oldrel (x86_64): RRPP_2.0.0.tgz |
| Old sources: | RRPP archive |
Reverse dependencies:
| Reverse depends: | geomorph |
Linking:
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