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, Akaike's Information Criterion, or the Bayesian Information Criterion.


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1.1 by Cesko C. Voeten, 3 months ago

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Authors: Cesko C. Voeten [aut, cre]

Documentation:   PDF Manual  

FreeBSD license

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

Suggests JuliaCall, MASS, gamm4, glmmTMB, knitr, lmerTest, nlme, nnet, parallel, pbkrtest, rmarkdown

See at CRAN