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cAIC4: 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) <doi:10.18637/jss.v099.i08>.
Getting started
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Package details |
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| 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@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.1 |
| Package repository | View on CRAN |
| Installation |
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