Conditional Akaike Information Criterion for 'lme4' and 'nlme' [R package cAIC4 version 1.1]

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>.

Version: 1.1

Depends: lme4 (≥ 1.1-6), methods, Matrix, stats4, nlme

Imports: RLRsim, mgcv, mvtnorm

Suggests: gamm4

Published: 2025年04月04日

DOI: 10.32614/CRAN.package.cAIC4

Author: Benjamin Saefken [aut], David Ruegamer [aut, cre], Philipp Baumann [aut], Rene-Marcel Kruse [aut], Sonja Greven [aut], Thomas Kneib [aut]

Maintainer: David Ruegamer <david.ruegamer at gmail.com>

License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

NeedsCompilation: no

Citation: cAIC4 citation info

In views: MixedModels

CRAN checks: cAIC4 results

Documentation:

Reference manual: cAIC4.html , cAIC4.pdf

Downloads:

Package source: cAIC4_1.1.tar.gz

Windows binaries: r-devel: cAIC4_1.1.zip, r-release: cAIC4_1.1.zip, r-oldrel: cAIC4_1.1.zip

macOS binaries: r-release (arm64): cAIC4_1.1.tgz, r-oldrel (arm64): cAIC4_1.1.tgz, r-release (x86_64): cAIC4_1.1.tgz, r-oldrel (x86_64): cAIC4_1.1.tgz

Old sources: cAIC4 archive

Reverse dependencies:

Reverse imports: fastFMM

Reverse suggests: FBMS, parameters

Linking:

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