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.

Package details

AuthorMichael Collyer [aut, cre] (<https://orcid.org/0000-0003-0238-2201>), Dean Adams [aut] (<https://orcid.org/0000-0001-9172-7894>)
MaintainerMichael Collyer <mlcollyer@gmail.com>
LicenseGPL (>= 3)
Version2.0.3
URL https://github.com/mlcollyer/RRPP
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("RRPP")

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RRPP documentation built on June 22, 2024, 6:45 p.m.