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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1 |
rolling linux/jammy R-4.5 | cAIC4_1.1.tar.gz |
230.7 KiB |
1.1 |
rolling linux/noble R-4.5 | cAIC4_1.1.tar.gz |
230.6 KiB |
1.1 |
rolling source/ R- | cAIC4_1.1.tar.gz |
88.3 KiB |
1.1 |
latest linux/jammy R-4.5 | cAIC4_1.1.tar.gz |
230.7 KiB |
1.1 |
latest linux/noble R-4.5 | cAIC4_1.1.tar.gz |
230.6 KiB |
1.1 |
latest source/ R- | cAIC4_1.1.tar.gz |
88.3 KiB |
1.1 |
2026-04-26 source/ R- | cAIC4_1.1.tar.gz |
88.3 KiB |
1.1 |
2026-04-23 source/ R- | cAIC4_1.1.tar.gz |
88.3 KiB |
1.1 |
2026-04-09 windows/windows R-4.5 | cAIC4_1.1.zip |
234.0 KiB |
1.1 |
2025-04-20 source/ R- | cAIC4_1.1.tar.gz |
88.3 KiB |