cAIC4-package {cAIC4}R Documentation

Conditional Akaike Information Criterion for 'lme4'

Description

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

Details

The DESCRIPTION file:

Package: cAIC4
Type: Package
Title: Conditional Akaike Information Criterion for 'lme4'
Version: 0.8
Date: 2019-04-17
Author: Benjamin Saefken and David Ruegamer, with contributions from Sonja Greven and Thomas Kneib
Maintainer: David Ruegamer <david.ruegamer@gmail.com>
Depends: lme4(>= 1.1-6), methods, Matrix, stats4
Suggests: gamm4, mgcv
Description: Provides functions for the estimation of the conditional Akaike information in generalized mixed-effect models fitted with (g)lmer() from 'lme4'.
License: GPL (>= 2)
Packaged: 2019-02-01 22:44:08 UTC; david
NeedsCompilation: no
Date/Publication: 2014-08-12 11:48:10
RoxygenNote: 6.1.1

Index of help topics:

Zambia                  Subset of the Zambia data set on childhood
                        malnutrition
anocAIC                 Comparison of several lmer objects via cAIC
cAIC                    Conditional Akaike Information for 'lme4'
cAIC4-package           Conditional Akaike Information Criterion for
                        'lme4'
deleteZeroComponents    Delete random effect terms with zero variance
getcondLL               Function to calculate the conditional
                        log-likelihood
guWahbaData             Data from Gu and Wahba (1991)
print.cAIC              Print method for cAIC
stepcAIC                Function to stepwise select the (generalized)
                        linear mixed model fitted via (g)lmer() or
                        (generalized) additive (mixed) model fitted via
                        gamm4() with the smallest cAIC.

Author(s)

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

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)

[Package cAIC4 version 0.8 Index]