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 method is described by Collyer, Sekora, & Adams (2015) <doi:10.1038/hdy.2014.75>.

Version: 0.2.0
Suggests: knitr, rmarkdown
Published: 2018-04-22
Author: Michael Collyer, Dean Adams
Maintainer: Michael Collyer <mlcollyer at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/mlcollyer/RRPP
NeedsCompilation: no
Materials: README NEWS
CRAN checks: RRPP results


Reference manual: RRPP.pdf
Vignettes: Using RRPP
Package source: RRPP_0.2.0.tar.gz
Windows binaries: r-devel: RRPP_0.2.0.zip, r-release: RRPP_0.2.0.zip, r-oldrel: RRPP_0.2.0.zip
OS X binaries: r-release: RRPP_0.2.0.tgz, r-oldrel: RRPP_0.1.0.tgz
Old sources: RRPP archive


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