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RRPP  

Linear Model Evaluation with Randomized Residuals in a Permutation Procedure
View on CRAN: Click here


Download and install RRPP package within the R console
Install from CRAN:
install.packages("RRPP")

Install from Github:
library("remotes")
install_github("cran/RRPP")

Install by package version:
library("remotes")
install_version("RRPP", "2.1.1")



Attach the package and use:
library("RRPP")
Maintained by
Michael Collyer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-22
Latest Update: 2024-02-06
Description:
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.
How to cite:
Michael Collyer (2018). RRPP: Linear Model Evaluation with Randomized Residuals in a Permutation Procedure. R package version 2.1.1, https://cran.r-project.org/web/packages/RRPP. Accessed 18 Feb. 2025.
Previous versions and publish date:
0.1.0 (2018-01-22 15:40), 0.2.0 (2018-04-22 19:40), 0.3.0 (2018-07-23 23:10), 0.4.0 (2019-03-24 19:36), 0.4.1 (2019-04-02 19:22), 0.4.2 (2019-05-19 23:40), 0.4.3 (2019-10-07 22:50), 0.5.0 (2019-12-19 14:40), 0.5.1 (2020-01-19 21:00), 0.5.2 (2020-01-26 19:40), 0.6.0 (2020-05-28 18:40), 0.6.1 (2020-06-24 18:10), 0.6.2 (2021-01-11 16:10), 1.0.0 (2021-03-30 08:50), 1.1.0 (2021-10-09 17:40), 1.1.1 (2021-10-24 17:20), 1.1.2 (2021-11-04 14:40), 1.2.1 (2022-03-01 18:30), 1.2.2 (2022-03-10 13:20), 1.2.3 (2022-03-19 15:50), 1.3.0 (2022-06-21 18:00), 1.3.1 (2022-09-12 20:10), 1.4.0 (2023-08-15 21:00), 2.0.0 (2024-02-06 15:30), 2.0.1 (2024-06-04 23:30), 2.0.2 (2024-06-12 17:50), 2.0.3 (2024-06-22 18:40), 2.0.4 (2024-11-14 05:50), 2.1.0 (2025-02-01 01:30)
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