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, ). Please see 'citation("pbkrtest")' for citation details.

Parametric Bootstrap and Kenward Roger Based Methods for Mixed Model Comparison


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.5.1 by Søren Højsgaard, 9 months ago

Browse source code at

Authors: Ulrich Halekoh [aut, cph] , Søren Højsgaard [aut, cre, cph]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports broom, dplyr, magrittr, MASS, Matrix, methods, numDeriv, parallel, knitr

Depends on lme4

Imported by StroupGLMM, afex, agriTutorial, car, doBy, eda4treeR, predictmeans, r2glmm, replicateBE, simr, tukeytrend.

Suggested by RcmdrPlugin.NMBU, TukeyC, agridat, asremlPlus, broom.mixed, buildmer, effects, emmeans, jtools, konfound, lavaSearch2, lme4, lmerTest, parameters.

See at CRAN