lmerTest (3.1-1)

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Tests in Linear Mixed Effects Models.

https://github.com/runehaubo/lmerTestR
http://cran.r-project.org/web/packages/lmerTest

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.

Maintainer: Sofie Poedenphant
Author(s): Alexandra Kuznetsova [aut], Per Bruun Brockhoff [aut, ths], Rune Haubo Bojesen Christensen [aut], Sofie Pdenphant Jensen [ctb, cre]

License: GPL (>= 2)

Uses: ggplot2, lme4, MASS, numDeriv, pbkrtest
Reverse depends: SensMixed
Reverse suggests: AICcmodavg, ARTool, asremlPlus, broom.mixed, buildmer, effectsize, emmeans, ggResidpanel, groupdata2, hamlet, jtools, languageR, lavaSearch2, lsmeans, neuropsychology, parameters, powerlmm, psycho, simr, sjPlot, sjstats, standardize, tidystats
Reverse enhances: RLRsim

Released 2 days ago.


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