# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "RRPP" in publications use:' type: software license: GPL-3.0-or-later title: 'RRPP: Linear Model Evaluation with Randomized Residuals in a Permutation Procedure' version: 2.0.3.999 identifiers: - type: doi value: 10.32614/CRAN.package.RRPP abstract: 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. authors: - family-names: Collyer given-names: Michael email: mlcollyer@gmail.com orcid: https://orcid.org/0000-0003-0238-2201 - family-names: Adams given-names: Dean orcid: https://orcid.org/0000-0001-9172-7894 preferred-citation: type: manual title: 'RRPP: Linear Model Evaluation with Randomized Residuals in a Permutation Procedure. R package version 2.1.0.' authors: - name: M. L. Collyer D. C. Adams year: '2024' url: https://CRAN.R-project.org/package=RRPP repository: https://phylotastic.r-universe.dev repository-code: https://github.com/mlcollyer/RRPP commit: 21faad4358ec17d15757730654967a711d8eb881 url: https://github.com/mlcollyer/RRPP date-released: '2024-06-22' contact: - family-names: Collyer given-names: Michael email: mlcollyer@gmail.com orcid: https://orcid.org/0000-0003-0238-2201 references: - type: article title: 'RRPP: An R package for fitting linear models to high‐dimensional data using residual randomization.' authors: - name: M. L. Collyer D. C. Adams year: '2018' journal: Methods in Ecology and Evolution volume: '9' issue: '2' url: https://doi.org/10.1111/2041-210X.13029 start: 1772-1779