lmerTest: Tests in Linear Mixed Effects Models

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: 3.0-1
Depends: R (≥ 3.2.5), lme4 (≥ 1.1-10), stats, methods
Imports: numDeriv, MASS, ggplot2
Suggests: pbkrtest (≥ 0.4-3), tools
Published: 2018-04-23
Author: Alexandra Kuznetsova [aut], Per Bruun Brockhoff [aut, ths, cre], Rune Haubo Bojesen Christensen [aut]
Maintainer: Per Bruun Brockhoff <perbb at dtu.dk>
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
CRAN checks: lmerTest results


Reference manual: lmerTest.pdf
Package source: lmerTest_3.0-1.tar.gz
Windows binaries: r-devel: lmerTest_3.0-1.zip, r-release: lmerTest_3.0-1.zip, r-oldrel: lmerTest_3.0-1.zip
OS X binaries: r-release: lmerTest_3.0-1.tgz, r-oldrel: lmerTest_3.0-0.tgz
Old sources: lmerTest archive

Reverse dependencies:

Reverse depends: voxel
Reverse imports: afex, agriTutorial, clickR, EMAtools, pamm, psycho, r2glmm, StroupGLMM, tableone, VetResearchLMM
Reverse suggests: ARTool, emmeans, groupdata2, hamlet, languageR, lavaSearch2, lsmeans, neuropsychology, powerlmm, simr, sjPlot, standardize
Reverse enhances: RLRsim


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