Learn R Programming
⚠️There's a newer version (0.5.4) of this package.Take me there.

pbkrtest (version 0.4-6)

Parametric Bootstrap and Kenward Roger Based Methods for Mixed Model Comparison

Description

Test in mixed effects models. Attention is on mixed effects models as implemented in the 'lme4' package. This package implements a parametric bootstrap test and a Kenward Roger modification of F-tests for linear mixed effects models and a parametric bootstrap test for generalized linear mixed models.

Copy Link

Version

Install

install.packages('pbkrtest')

Monthly Downloads

359,233

Version

0.4-6

License

GPL (>= 2)

Maintainer

Søren Højsgaard

Last Published

January 27th, 2016

Functions in pbkrtest (0.4-6)

PBmodcomp

Model comparison using parametric bootstrap methods.
get_Lb_ddf

Adjusted denomintor degress freedom for linear estimate for linear mixed model.
pbkrtest-internal

Internal functions in the pbkrtest package
KenwardRoger

Ftest and degrees of freedom based on Kenward-Roger approximation
vcovAdj

Ajusted covariance matrix for linear mixed models according to Kenward and Roger
beets

Yield and sugar percentage in sugar beets from a split plot experiment.
PBrefdist

Calculate reference distribution using parametric bootstrap
getKR

Extract (or "get") components from a KRmodcomp object.
model2restrictionMatrix

Conversion between a model object and a restriction matrix
budworm

Effect of Insecticide on survivial of tobacco budworms