extractAIC.ocm: Extract AIC from a fitted Continuous Ordinal Model
In ordinalCont: Ordinal Regression Analysis for Continuous Scales

Description Usage Arguments Details Value Author(s) References See Also Examples

Extracts the AIC for a fitted ocm object

1 2	## S3 method for class 'ocm' extractAIC(fit, scale = 0, k = 2, ...)

`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

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.

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`

Maurizio Manuguerra, Gillian Heller

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

ocm

## Not run: 
fit.overall  <- ocm(overall  ~ cycleno + age + bsa + treatment, data=ANZ0001.sub, scale=c(0,100))
extractAIC(fit.overall)

## End(Not run)