Conditional Akaike Information Criterion for 'lme4' and 'nlme'
Delete random effect terms with zero variance
Function to calculate the conditional log-likelihood
Optimize weights for model averaging.
Comparison of several lmer objects via cAIC
Conditional Akaike Information for 'lme4' and 'lme'
tools:::Rd_package_title("cAIC4")
Model Averaging for Linear Mixed Models
Prediction of model averaged linear mixed models
Print method for cAIC
Function to stepwise select the (generalized) linear mixed model fitte...
Summary of model averaged linear mixed models
Provides functions for the estimation of the conditional Akaike information in generalized mixed-effect models fitted with (g)lmer() from 'lme4', lme() from 'nlme' and gamm() from 'mgcv'. For a manual on how to use 'cAIC4', see Saefken et al. (2021) <doi:10.18637/jss.v099.i08>.