pbkrtest: Parametric Bootstrap and Kenward Roger Based Methods for Mixed Model Comparison

Test in mixed effects models. Attention is on mixed effects models as implemented in the 'lme4' package. This package implements a parametric bootstrap test and a Kenward Roger modification of F-tests for linear mixed effects models and a parametric bootstrap test for generalized linear mixed models.

Version: 0.4-7
Depends: R (≥ 3.2.3), lme4 (≥ 1.1.10)
Imports: Matrix (≥ 1.2.3), parallel, MASS, methods
Published: 2017-03-15
Author: Ulrich Halekoh Søren Højsgaard
Maintainer: Søren Højsgaard <sorenh at math.aau.dk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://people.math.aau.dk/~sorenh/software/pbkrtest/
NeedsCompilation: no
Citation: pbkrtest citation info
Materials: README ChangeLog
CRAN checks: pbkrtest results


Reference manual: pbkrtest.pdf
Vignettes: pbkrtest-introduction: Introduction to pbkrtest
Package source: pbkrtest_0.4-7.tar.gz
Windows binaries: r-devel: pbkrtest_0.4-7.zip, r-release: pbkrtest_0.4-7.zip, r-oldrel: pbkrtest_0.4-7.zip
OS X El Capitan binaries: r-release: pbkrtest_0.4-7.tgz
OS X Mavericks binaries: r-oldrel: pbkrtest_0.4-7.tgz
Old sources: pbkrtest archive

Reverse dependencies:

Reverse imports: afex, agriTutorial, car, eda4treeR, lmSupport, nauf, piecewiseSEM, predictmeans, r2glmm, simr, StroupGLMM, tukeytrend
Reverse suggests: agridat, doBy, effects, emmeans, jtools, lavaSearch2, lme4, lmerTest, lsmeans, RcmdrPlugin.NMBU, SensMixed, sjstats, TukeyC


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