Man pages for hojsgaard/pbkrtest
Parametric Bootstrap, Kenward-Roger and Satterthwaite Based Methods for Test in Mixed Models

anovaxanova like function
anovax_listVarious different tests for model comparison
comodexModel comparison
compare_column_spaceCompare column spaces
compute_auxiliaryCompute_auxiliary quantities needed for the Satterthwaite...
data-beetsSugar beets data
data-budwormBudworm data
devfun_vpCompute deviance of a linear mixed model as a function of...
get_covbetaCompute covariance of fixed effect parameters as a function...
get_ddf_LbAdjusted denominator degrees of freedom for linear estimate...
get_Fstat_ddfCompute denominator degrees of freedom for F-test
get_varyGet variance covariance matrix for lmerMod and gls
gls_cov_matrixReturns covariance matrix for gls model
gls_varcorrVariance and correlation parameters from gls object
internalInternal functions for the pbkrtest package
internal-pbkrtestpbkrtest internal
kr_modcompF-test and degrees of freedom based on Kenward-Roger...
kr-vcovAdjAdjusted covariance matrix for linear mixed models according...
model-coerceConversion between a model object and a restriction matrix
pb_modcompModel comparison using parametric bootstrap methods.
pb-refdistCalculate reference distribution using parametric bootstrap
refit.glmRefit linear model / generalized linear model to new response
refit_glsRefit a gls object to new response variable
sat_modcompF-test and degrees of freedom based on Satterthwaite...
simulate.glsSimulate data for 'gls' object
x2_modcompChisq test
hojsgaard/pbkrtest documentation built on June 13, 2025, 8:33 a.m.