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: |
0.5.3 |
| Depends: |
R (≥ 4.2.0), lme4 (≥ 1.1.31) |
| Imports: |
broom, dplyr, MASS, methods, numDeriv, Matrix (≥ 1.2.3), doBy |
| Suggests: |
markdown, knitr |
| Published: |
2024-06-26 |
| DOI: |
10.32614/CRAN.package.pbkrtest |
| 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:
Downloads:
Reverse dependencies:
| Reverse imports: |
afex, agriTutorial, car, konfound, MedianaDesigner, predictmeans, r2glmm, replicateBE, simr, tukeytrend, variancePartition |
| Reverse suggests: |
agridat, asremlPlus, broom.mixed, buildmer, doBy, effects, emmeans, grafify, insight, jtools, lavaSearch2, lme4, lmerTest, parameters, RcmdrPlugin.NMBU, SimplyAgree, TukeyC |
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