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

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

## Documentation for package ‘cAIC4’ version 1.1

- DESCRIPTION file

## Help Pages

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
family.lme | family function for lme objects to have a generic function
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
getModelComponents | Generic getModelComponents method
getModelComponents.lme | getModelComponents for lme objects
getModelComponents.merMod | getModelComponents for merMods
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