cAIC4: Conditional Akaike Information Criterion for 'lme4'

Provides functions for the estimation of the conditional Akaike information in generalized mixed-effect models fitted with (g)lmer() from 'lme4'.

Version: 0.6
Depends: lme4 (≥ 1.1-6), methods, Matrix, stats4
Suggests: gamm4, mgcv
Published: 2018-11-11
Author: Benjamin Saefken and David Ruegamer, with contributions from Sonja Greven and Thomas Kneib
Maintainer: David Ruegamer <david.ruegamer at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: cAIC4 citation info
CRAN checks: cAIC4 results

Downloads:

Reference manual: cAIC4.pdf
Package source: cAIC4_0.6.tar.gz
Windows binaries: r-devel: cAIC4_0.6.zip, r-release: cAIC4_0.6.zip, r-oldrel: cAIC4_0.6.zip
OS X binaries: r-release: cAIC4_0.6.tgz, r-oldrel: cAIC4_0.6.tgz
Old sources: cAIC4 archive

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