WAIC: Extract the Watanabe-Akaike Information Criterion (WAIC)
Description
Extracts the Watanabe-Akaike Information Criterion from objects of class Bwiqid which have a WAIC attribute.
Usage
WAIC(object, ...)
Value
If just one object is provided, the corresponding WAIC.
If multiple objects are provided, a data frame with rows corresponding to the objects and columns representing the number of parameters in the model (pD) and the WAIC.
Arguments
object
a fitted model object with an attribute giving the WAIC and pD for the fitted model.
...
optionally more fitted model objects.
Author
Mike Meredith.
References
Burnham, K P; D R Anderson 2002. Model selection and multimodel inference: a practical information-theoretic approach. Springer-Verlag.