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'.

Version: 0.9
Depends: lme4 (≥ 1.1-6), methods, Matrix, stats4, nlme
Imports: RLRsim, mgcv, mvtnorm
Suggests: gamm4
Published: 2019-12-18
Author: Benjamin Saefken, David Ruegamer, Philipp Baumann and Rene-Marcel Kruse, 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_0.9.tar.gz
Windows binaries: r-devel: cAIC4_0.9.zip, r-devel-gcc8: cAIC4_0.9.zip, r-release: cAIC4_0.9.zip, r-oldrel: cAIC4_0.9.zip
OS X binaries: r-release: cAIC4_0.9.tgz, r-oldrel: cAIC4_0.9.tgz
Old sources: cAIC4 archive

Reverse dependencies:

Reverse suggests: parameters

Linking:

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