Extract AIC from a fitted Continuous Ordinal Mixed Model

Share:

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

ocmm 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 (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 fit

AIC

the generalized AIC of ocmm object fit

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

ocmm, extractAIC.ocm

Examples

1
2
3
4
5
## Not run: 
fit.overall.rnd  <- ocmm(overall  ~ cycleno + age + bsa + treatment + (1|randno), data=ANZ0001)
extractAIC(fit.overall.rnd)

## End(Not run)

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.