cAIC4-package

tools:::Rd_package_title("cAIC4")

tools:::Rd_package_description("cAIC4") package

Details

The DESCRIPTION file: tools:::Rd_package_DESCRIPTION("cAIC4")

tools:::Rd_package_indices("cAIC4")

Author(s)

tools:::Rd_package_author("cAIC4")

Maintainer: tools:::Rd_package_maintainer("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

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

cAIC(b)