Stepwise Elimination and Term Reordering for Mixed-Effects Regression

Finds the largest possible regression model that will still converge for various types of regression analyses (including mixed models and generalized additive models) and then optionally performs stepwise elimination similar to the forward and backward effect-selection methods in SAS, based on the change in log-likelihood or its significance, Akaike's Information Criterion, the Bayesian Information Criterion, or the explained deviance.


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install.packages("buildmer")

1.4 by Cesko C. Voeten, 8 days ago


Report a bug at https://github.com/cvoeten/buildmer/issues


Browse source code at https://github.com/cran/buildmer


Authors: Cesko C. Voeten [aut, cre]


Documentation:   PDF Manual  


FreeBSD license


Imports graphics, lme4, methods, mgcv, nlme, plyr, stats, utils

Suggests GLMMadaptive, JuliaCall, MASS, gamm4, glmertree, glmmTMB, knitr, lmerTest, nnet, parallel, partykit, pbkrtest, rmarkdown


See at CRAN