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.
Version: 2.1.2 Depends: R (≥ 4.4.0) Imports: parallel, ape, ggplot2, Matrix Suggests: knitr, rmarkdown, testthat (≥ 3.2.0), dplyr, tibble Published: 2025-02-18 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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=RRPP to link to this page.
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