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cAIC4  

Conditional Akaike Information Criterion for 'lme4' and 'nlme'
View on CRAN: Click here


Download and install cAIC4 package within the R console
Install from CRAN:
install.packages("cAIC4")

Install from Github:
library("remotes")
install_github("cran/cAIC4")

Install by package version:
library("remotes")
install_version("cAIC4", "1.1")



Attach the package and use:
library("cAIC4")
Maintained by
David Ruegamer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-06-04
Latest Update: 2025-04-04
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) .
How to cite:
David Ruegamer (2014). cAIC4: Conditional Akaike Information Criterion for 'lme4' and 'nlme'. R package version 1.1, https://cran.r-project.org/web/packages/cAIC4. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:23), 0.1 (2014-06-04 14:51), 0.2 (2014-08-12 11:48), 0.3 (2018-03-21 10:06), 0.4 (2018-05-22 19:14), 0.5 (2018-09-18 22:40), 0.6 (2018-11-11 18:40), 0.7 (2019-02-02 07:33), 0.8 (2019-04-17 22:40), 0.9 (2019-12-18 18:00), 1.0 (2021-09-22 12:10)
Other packages that cited cAIC4 R package
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Other R packages that cAIC4 depends, imports, suggests or enhances
Complete documentation for cAIC4
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