cAIC4: Conditional Akaike Information Criterion for 'lme4' and 'nlme' (original) (raw)
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>.
| Version: | 1.1 |
|---|---|
| Depends: | lme4 (≥ 1.1-6), methods, Matrix, stats4, nlme |
| Imports: | RLRsim, mgcv, mvtnorm |
| Suggests: | gamm4 |
| Published: | 2025-04-04 |
| DOI: | 10.32614/CRAN.package.cAIC4 |
| Author: | Benjamin Saefken [aut], David Ruegamer [aut, cre], Philipp Baumann [aut], Rene-Marcel Kruse [aut], Sonja Greven [aut], Thomas Kneib [aut] |
| Maintainer: | David Ruegamer <david.ruegamer at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | cAIC4 citation info |
| In views: | MixedModels |
| CRAN checks: | cAIC4 results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=cAIC4to link to this page.