extractAIC.ocm {ordinalCont} | R Documentation |
Extract AIC from a fitted Continuous Ordinal Model
Description
Extracts the AIC for a fitted ocm
object
Usage
## S3 method for class 'ocm'
extractAIC(fit, scale = 0, k = 2, ...)
Arguments
fit |
|
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 |
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.
Value
A numeric vector of length 2, with first and second elements giving
edf |
the “equivalent degrees of freedom” for the fitted model |
AIC |
the generalized AIC of |
Author(s)
Maurizio Manuguerra, Gillian Heller
References
Akaike, H (1983). Information measures and model selection, Bulletin of the International Statistical Institute, 50:277-290.
See Also
Examples
## Not run:
fit.overall <- ocm(overall ~ cycleno + age + bsa + treatment, data=ANZ0001.sub, scale=c(0,100))
extractAIC(fit.overall)
## End(Not run)
[Package ordinalCont version 2.0.2 Index]