Extract AIC from a fitted Continuous Ordinal Mixed Model
Description
Extracts the AIC for a fitted ocmm
object
Usage
1 2  ## S3 method for class 'ocmm'
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 (currently unused) 
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, 50:277290.
See Also
ocmm
, extractAIC.ocm
Examples
1 2 3 4 5  ## Not run:
fit.overall.rnd < ocmm(overall ~ cycleno + age + bsa + treatment + (1randno), data=ANZ0001)
extractAIC(fit.overall.rnd)
## End(Not run)
