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cAIC4 (version 1.1)

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

Description

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) .

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Version

Install

install.packages('cAIC4')

Monthly Downloads

1,434

Version

1.1

License

GPL (>= 2)

Maintainer

David Ruegamer

Last Published

April 4th, 2025

Functions in cAIC4 (1.1)

Model Averaging for Linear Mixed Models

Function to calculate the conditional log-likelihood

Prediction of model averaged linear mixed models

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.