lmerTest: Tests in Linear Mixed Effects Models (original) (raw)
Provides p-values in type I, II or III anova and summary tables for lmer model fits (cf. lme4) via Satterthwaite's degrees of freedom method. A Kenward-Roger method is also available via the pbkrtest package. Model selection methods include step, drop1 and anova-like tables for random effects (ranova). Methods for Least-Square means (LS-means) and tests of linear contrasts of fixed effects are also available.
Version: | 3.1-3 |
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Depends: | R (≥ 3.2.5), lme4 (≥ 1.1-10), stats, methods |
Imports: | numDeriv, MASS, ggplot2 |
Suggests: | pbkrtest (≥ 0.4-3), tools |
Published: | 2020-10-23 |
DOI: | 10.32614/CRAN.package.lmerTest |
Author: | Alexandra Kuznetsova [aut], Per Bruun Brockhoff [aut, ths], Rune Haubo Bojesen Christensen [aut, cre], Sofie Pødenphant Jensen [ctb] |
Maintainer: | Rune Haubo Bojesen Christensen <Rune.Haubo at gmail.com> |
BugReports: | https://github.com/runehaubo/lmerTestR/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/runehaubo/lmerTestR |
NeedsCompilation: | no |
Citation: | lmerTest citation info |
Materials: | NEWS |
In views: | MixedModels |
CRAN checks: | lmerTest results |
Documentation:
Downloads:
Reverse dependencies:
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