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cAIC4 (version 1.0)

cAIC4-package: cAIC4

Description

cAIC4

Arguments

Details

The DESCRIPTION file: cAIC4 cAIC4

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

Run this code
# NOT RUN {
b <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy)

cAIC(b)
# }

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