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RRPP: An R package for fitting linear models to high-dimensional data using residual randomization
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R SS.iterPP update Oct 4, 2019
data moved trajectory.analysis to RRPP Mar 8, 2019
doc vignette trouble Sep 11, 2019
inst new examples and makeDF update May 14, 2019
man lm.rrpp GLS coefficient fixed QR mode of cefficients Jun 22, 2019
vignettes trajectory.analysis centering issue Sep 13, 2019
DESCRIPTION new github version start Oct 14, 2019
MD5 new github version start Oct 14, 2019
NAMESPACE trajectory plots added Mar 16, 2019 new github version start Oct 14, 2019
RRPP.Rproj vignette html added to inst/doc Apr 22, 2018 CRAN release updates Oct 7, 2019


RRPP is a software package for evaluating linear models with residual randomization in a permutation procedure. S3 Generic used for the lm function can also be used with lm.rrpp, with the chief difference being that lm coefficients, fitted values, and residuals are estimated many times with random permutations of data.

To install the current RRPP R-package from CRAN:

Within R:


To install the current version of geomorph R-package from Github using devtools:

Within R:



The version on github is updated regularly, especially if errors or programming bugs are discovered.

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