pbkrtest: Parametric Bootstrap, Kenward-Roger and Satterthwaite Based Methods for Test in Mixed Models (original) (raw)
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: | 0.5.4 |
|---|---|
| Depends: | R (≥ 4.2.0), lme4 (≥ 1.1.31) |
| Imports: | broom, dplyr, MASS, methods, numDeriv, Matrix (≥ 1.2.3), doBy (≥ 4.6.22) |
| Suggests: | markdown, knitr |
| Published: | 2025-04-28 |
| DOI: | 10.32614/CRAN.package.pbkrtest |
| Author: | Ulrich Halekoh [aut, cph], Søren Højsgaard [aut, cre, cph] |
| Maintainer: | Søren Højsgaard |
| 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 |
| In views: | MixedModels |
| CRAN checks: | pbkrtest results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse imports: | afex, agriTutorial, car, ComBatFamQC, konfound, MedianaDesigner, predictmeans, r2glmm, replicateBE, simr, tukeytrend, variancePartition |
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| Reverse suggests: | agridat, asremlPlus, broom.mixed, buildmer, doBy, effects, emmeans, grafify, insight, jtools, lavaSearch2, lme4, lmerTest, modelbased, parameters, RcmdrPlugin.NMBU, SimplyAgree, TukeyC |
Linking:
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