Package: buildmer
Title: Stepwise Elimination and Term Reordering for Mixed-Effects
        Regression
Version: 1.3
Authors@R: person(c("Cesko", "C."), "Voeten", email = "cvoeten@gmail.com", role = c("aut", "cre"), comment = c(ORCID="0000-0003-4687-9973"))
Description: 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, or the Bayesian
    Information Criterion.
Depends: R (>= 3.2)
Imports: methods, mgcv, lme4, plyr, stats, utils
Suggests: GLMMadaptive, JuliaCall, MASS, gamm4, glmertree, glmmTMB,
        knitr, lmerTest, nlme, nnet, parallel, partykit, pbkrtest,
        rmarkdown
License: FreeBSD
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
BugReports: https://github.com/cvoeten/buildmer/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-09-28 19:44:15 UTC; Cesko
Author: Cesko C. Voeten [aut, cre] (<https://orcid.org/0000-0003-4687-9973>)
Maintainer: Cesko C. Voeten <cvoeten@gmail.com>
Repository: CRAN
Date/Publication: 2019-09-28 20:00:05 UTC
