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 1,502 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 21 times.
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Last 365 days
This package has been downloaded 18,728 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