pbkrtest: Parametric Bootstrap, Kenward-Roger and Satterthwaite Based Methods for Test in Mixed Models

Test in mixed effects models. Attention is on mixed effects models as implemented in the 'lme4' package. For linear mixed models, this package implements (1) a parametric bootstrap test, (2) a Kenward-Roger-typ modification of F-tests for linear mixed effects models and (3) a Satterthwaite-type modification of F-tests for linear mixed effects models. The package also implements a parametric bootstrap test for generalized linear mixed models. The facilities of the package are documented in the paper by Halehoh and Højsgaard, (2012, <doi:10.18637/jss.v059.i09>). Please see 'citation("pbkrtest")' for citation details.

Version: 0.5-0.1
Depends: R (≥ 3.5.0), lme4 (≥ 1.1.10)
Imports: broom, dplyr, magrittr, MASS, Matrix (≥ 1.2.3), methods, numDeriv, parallel, knitr
Published: 2020-12-18
Author: Ulrich Halekoh [aut, cph], Søren Højsgaard [aut, cre, cph]
Maintainer: Søren Højsgaard <sorenh at math.aau.dk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://people.math.aau.dk/~sorenh/software/pbkrtest/
NeedsCompilation: no
Citation: pbkrtest citation info
Materials: README NEWS ChangeLog
CRAN checks: pbkrtest results


Reference manual: pbkrtest.pdf
Vignettes: coercion: Model objects and restriction matrices
pbkrtest-introduction: Introduction to pbkrtest
Package source: pbkrtest_0.5-0.1.tar.gz
Windows binaries: r-devel: pbkrtest_0.5-0.1.zip, r-release: pbkrtest_0.5-0.1.zip, r-oldrel: pbkrtest_0.5-0.1.zip
macOS binaries: r-release: pbkrtest_0.5-0.1.tgz, r-oldrel: pbkrtest_0.5-0.1.tgz
Old sources: pbkrtest archive

Reverse dependencies:

Reverse imports: afex, agriTutorial, car, doBy, eda4treeR, lmSupport, predictmeans, r2glmm, replicateBE, simr, StroupGLMM, tukeytrend, variancePartition
Reverse suggests: agridat, asremlPlus, broom.mixed, buildmer, effects, emmeans, jtools, lavaSearch2, lme4, lmerTest, RcmdrPlugin.NMBU, TukeyC


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