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

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) .


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("cAIC4")

1.0 by David Ruegamer, a month ago


Browse source code at https://github.com/cran/cAIC4


Authors: Benjamin Saefken , David Ruegamer , Philipp Baumann and Rene-Marcel Kruse , with contributions from Sonja Greven and Thomas Kneib


Documentation:   PDF Manual  


GPL (>= 2) license


Imports RLRsim, mgcv, mvtnorm

Depends on lme4, methods, Matrix, stats4, nlme

Suggests gamm4


Suggested by parameters.


See at CRAN