Learn R Programming

⚠️There's a newer version (0.5.5) of this package.Take me there.

pbkrtest (version 0.3-8)

Parametric bootstrap and Kenward Roger based methods for mixed model comparison

Description

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

Copy Link

Version

Install

install.packages('pbkrtest')

Monthly Downloads

324,699

Version

0.3-8

License

GPL (>= 2)

Maintainer

Søren Højsgaard

Last Published

November 19th, 2013

Functions in pbkrtest (0.3-8)

PBmodcomp

Model comparison of mixed models using parametric bootstrap methods.
KRmodcomp_init

Model input check
get_ddf_Lb

Adjusted denomintor degress freedom for linear estimate for linear mixed model.
PBrefdist

Calculate reference distribution using parametric bootstrap
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.
getKR

Extract (or "get") components from a KRmodcomp object.
pbkrtest-internal

Internal functions in the pbkrtest package
KenwardRoger

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

Effect of Insecticide on survivial of tobacco budworms