cAIC4-package: Conditional Akaike Information Criterion for 'lme4'

Description Details Author(s) References See Also Examples

Description

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

Details

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Author(s)

Benjamin Saefken and David Ruegamer, with contributions from Sonja Greven and Thomas Kneib

Maintainer: David Ruegamer <[email protected]>

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

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b <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy)

cAIC(b)

cAIC4 documentation built on May 23, 2018, 1:04 a.m.