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: |
0.5.1 |
| Depends: |
R (≥ 3.5.0), lme4 (≥ 1.1.10) |
| Imports: |
broom, dplyr, magrittr, MASS, Matrix (≥ 1.2.3), methods, numDeriv, parallel, knitr |
| Published: |
2021-03-09 |
| 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 |
Documentation:
Downloads:
Reverse dependencies:
| Reverse imports: |
afex, agriTutorial, car, doBy, eda4treeR, predictmeans, r2glmm, replicateBE, simr, StroupGLMM, tukeytrend, variancePartition |
| Reverse suggests: |
agridat, asremlPlus, broom.mixed, buildmer, effects, emmeans, grafify, insight, jtools, konfound, lavaSearch2, lme4, lmerTest, parameters, RcmdrPlugin.NMBU, TukeyC |
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