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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: | 1.0 |
Depends: | lme4 (≥ 1.1-6), methods, Matrix, stats4, nlme |
Imports: | RLRsim, mgcv, mvtnorm |
Suggests: | gamm4 |
Published: | 2021-09-22 |
DOI: | 10.32614/CRAN.package.cAIC4 |
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 |
In views: | MixedModels |
CRAN checks: | cAIC4 results |
Reference manual: | cAIC4.pdf |
Package source: | cAIC4_1.0.tar.gz |
Windows binaries: | r-devel: cAIC4_1.0.zip, r-release: cAIC4_1.0.zip, r-oldrel: cAIC4_1.0.zip |
macOS binaries: | r-release (arm64): cAIC4_1.0.tgz, r-oldrel (arm64): cAIC4_1.0.tgz, r-release (x86_64): cAIC4_1.0.tgz, r-oldrel (x86_64): cAIC4_1.0.tgz |
Old sources: | cAIC4 archive |
Reverse imports: | fastFMM |
Reverse suggests: | parameters |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.