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

Computes p-values based on (a) Satterthwaite or Kenward-Rogers degree of freedom methods and (b) parametric bootstrap for mixed effects models as implemented in the 'lme4' package. Implements parametric bootstrap test for generalized linear mixed models as implemented in 'lme4' and generalized linear models. The package is documented in the paper by Halekoh and Højsgaard, (2012, <doi:10.18637/jss.v059.i09>). Please see 'citation("pbkrtest")' for citation details.

Version: 0.5.2
Depends: R (≥ 4.1.0), lme4 (≥ 1.1.31)
Imports: broom, dplyr, MASS, Matrix (≥ 1.2.3), methods, numDeriv, parallel
Suggests: knitr
Published: 2023-01-19
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
In views: MixedModels
CRAN checks: pbkrtest results

Documentation:

Reference manual: pbkrtest.pdf
Vignettes: 01 - Introduction to 'pbkrtest'
02 - Coercion between model objects and restriction matrices in 'pbkrtest'

Downloads:

Package source: pbkrtest_0.5.2.tar.gz
Windows binaries: r-devel: pbkrtest_0.5.2.zip, r-release: pbkrtest_0.5.2.zip, r-oldrel: pbkrtest_0.5.2.zip
macOS binaries: r-release (arm64): pbkrtest_0.5.2.tgz, r-oldrel (arm64): pbkrtest_0.5.2.tgz, r-release (x86_64): pbkrtest_0.5.2.tgz
Old sources: pbkrtest archive

Reverse dependencies:

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

Linking:

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