WAIC: Extract the Watanabe-Akaike Information Criterion (WAIC)

In wiqid: Quick and Dirty Estimates for Wildlife Populations

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, ...)

Arguments

object	a fitted model object with an attribute giving the WAIC and pD for the fitted model.
...	optionally more fitted model objects.

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.

Note

The code to produce WAIC is new and not fully tested: it probably harbours bugs!

Author(s)

Mike Meredith.

References

Burnham, K P; D R Anderson 2002. Model selection and multimodel inference: a practical information-theoretic approach. Springer-Verlag.

Examples

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wiqid documentation built on Nov. 18, 2022, 1:07 a.m.