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)
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.
The version on github is updated regularly, especially if errors or programming bugs are discovered.
CHANGES IN RRPP VERSION 0.3.0
o Added model.comparison function.
o Added classify function.
o Added a pairwise variance comparison for the pairwise function.
o Fixed some issues with univariate data for classify.
o Fixed some issues with univariate data for pairwise.
o Fixed the logL function within model.comparisons for GLS determinants (was returning 0).
o Fixed some issues with the aov.multimodel subfunction of anova.lm.rrpp, related to GLS permutations and intercept only models.
o Added random SS output to aov.multimodel subfunction of anova.lm.rrpp, so that it can be called by other functions/packages.
CHANGES IN RRPP VERSION 0.2.0
NEW FEATURES o pairwise function: allows pairwise comparison of means or slopes for a lm.rrpp fit. o A vignette for using RRPP, which is the same as Appendix S2 in Collyer and Adams (2008). RRPP: An R package for fitting linear models to high-dimensional data using residual randomization. Methods in Ecology and Evolution. (submitted)
OTHER CHANGES o Added multi-model inference capabaility to anova.lm.rrpp
BUG FIXES o Fixed issue for coef.lm.rrpp tests when type II or type III SS is chosen, to make sure that appropriate coefficients are used.
CHANGES IN RRPP VERSION 0.1.0
New Release! New features anova.lm.rrpp.r coef.lm.rrpp.r lm.rrpp.r predict.lm.rrpp.r RRPP.support.code.r RRPP.utils.r