ordinalCont (version 2.0.2)

extractAIC.ocm: Extract AIC from a fitted Continuous Ordinal Model

Description

Extracts the AIC for a fitted ocm object

Usage

# S3 method for ocm
extractAIC(fit, scale = 0, k = 2, ...)

Arguments

fit

ocm object

scale

parameter currently not used. For compatibility with general extractAIC method.

k

``weight'' of the equivalent degrees of freedom (=: edf) in the AIC formula. Defaults to 2

...

further arguments to be passed to methods

Value

A numeric vector of length 2, with first and second elements giving

edf

the ``equivalent degrees of freedom'' for the fitted model fit

AIC

the generalized AIC of ocm object fit

Details

The generalized AIC is computed: $$-2\ell +k\cdot edf$$ where \(\ell\) is the log-likelihood, k=2 gives the AIC, and k=log(n) gives the BIC.

References

Akaike, H (1983). Information measures and model selection, Bulletin of the International Statistical Institute, 50:277-290.

See Also

ocm

Examples

# NOT RUN {
fit.overall  <- ocm(overall  ~ cycleno + age + bsa + treatment, data=ANZ0001.sub, scale=c(0,100))
extractAIC(fit.overall)
# }