Stepwise Elimination and Term Reordering for Mixed-Effects Regression R package buildmer version 2.13 CRAN Task View: MixedModels (https://CRAN.R-project.org/view=MixedModels) 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, the explained deviance, or the F-test of the change in R². Software Depends: R (>= 3.2) Imports: graphics, lme4, methods, mgcv, nlme, reformulas, stats, utils Suggests: GLMMadaptive, MASS, gamm4, glmertree, glmmTMB, knitr, lmerTest, nnet, ordinal, parallel, partykit, pbkrtest, rmarkdown, testthat Cesko C. Voeten <cvoeten@gmail.com> Comprehensive R Archive Network (CRAN) Cesko C. Voeten [aut, cre] (ORCID: <https://orcid.org/0000-0003-4687-9973>) FreeBSD 2026-06-26 application/tgz https://CRAN.R-project.org/package=buildmer doi:10.32614/CRAN.package.buildmer