Conditional Akaike Information Criterion for 'lme4' and 'nlme'

Documentation for package ‘cAIC4’ version 1.0

cAIC4-package	Conditional Akaike Information Criterion for 'lme4' and 'nlme'
anocAIC	Comparison of several lmer objects via cAIC
cAIC	Conditional Akaike Information for 'lme4' and 'lme'
cAIC4	Conditional Akaike Information Criterion for 'lme4' and 'nlme'
deleteZeroComponents	Delete random effect terms with zero variance
deleteZeroComponents.lme	Delete random effect terms with zero variance
deleteZeroComponents.merMod	Delete random effect terms with zero variance
getcondLL	Function to calculate the conditional log-likelihood
getcondLL.lme	Function to calculate the conditional log-likelihood
getcondLL.merMod	Function to calculate the conditional log-likelihood
getWeights	Optimize weights for model averaging.
guWahbaData	Data from Gu and Wahba (1991)
modelAvg	Model Averaging for Linear Mixed Models
predictMA	Prediction of model averaged linear mixed models
print.cAIC	Print method for cAIC
stepcAIC	Function to stepwise select the (generalized) linear mixed model fitted via (g)lmer() or (generalized) additive (mixed) model fitted via gamm4() with the smallest cAIC.
summaryMA	Summary of model averaged linear mixed models
Zambia	Subset of the Zambia data set on childhood malnutrition