Package

r-rrpp

Description

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) <doi:10.1111/2041-210X.13029>.
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.

Note