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


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Documentation for package ‘cAIC4’ version 0.9

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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