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.
- Version1.0
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- cAIC4 citation info
- Last release09/22/2021
Documentation
Team
David Ruegamer
Philipp Baumann
Thomas Kneib
Benjamin Saefken
Rene-Marcel Kruse
Sonja Greven
Insights
Last 30 days
This package has been downloaded 1,548 times in the last 30 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 76 times.
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Last 365 days
This package has been downloaded 18,705 times in the last 365 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The day with the most downloads was Sep 04, 2024 with 166 downloads.
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Dependencies
- Depends3 packages
- Imports3 packages
- Suggests1 package
- Reverse Imports1 package