cAIC4-package: Conditional Akaike Information Criterion for 'lme4' and...
In cAIC4: Conditional Akaike Information Criterion for 'lme4' and 'nlme'
cAIC4-package R Documentation
Conditional Akaike Information Criterion for 'lme4' and 'nlme'
Description
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>.
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Index: This package was not yet installed at build time.
Author(s)
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@gmail.com>
References
Saefken, B., Kneib T., van Waveren C.-S. and Greven, S. (2014) A unifying
approach to the estimation of the conditional Akaike information in generalized
linear mixed models. Electronic Journal Statistics Vol. 8, 201-225.
Greven, S. and Kneib T. (2010) On the behaviour of marginal and conditional AIC
in linear mixed models. Biometrika 97(4), 773-789.
Efron , B. (2004) The estimation of prediction error. J. Amer. Statist. Ass.
99(467), 619-632.
See Also
lme4
Examples
b <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
cAIC(b)
cAIC4 documentation built on April 11, 2025, 6:10 p.m.
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| cAIC4-package | R Documentation |
Conditional Akaike Information Criterion for 'lme4' and 'nlme'
Description
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>.
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Index: This package was not yet installed at build time.
Author(s)
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@gmail.com>
References
Saefken, B., Kneib T., van Waveren C.-S. and Greven, S. (2014) A unifying approach to the estimation of the conditional Akaike information in generalized linear mixed models. Electronic Journal Statistics Vol. 8, 201-225.
Greven, S. and Kneib T. (2010) On the behaviour of marginal and conditional AIC in linear mixed models. Biometrika 97(4), 773-789.
Efron , B. (2004) The estimation of prediction error. J. Amer. Statist. Ass. 99(467), 619-632.
See Also
lme4
Examples
b <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
cAIC(b)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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