bamlss (version 1.1-2)

WAIC: Watanabe-Akaike Information Criterion (WAIC)

Description

Function returning the Watanabe-Akaike Information Criterion (WAIC) of a fitted model object.

Usage

WAIC(object, ..., newdata = NULL)

Arguments

object

A fitted model object which contains MCMC samples.

…

Optionally more fitted model objects.

newdata

Optionally, use new data for computing the WAIC.

Examples

# NOT RUN {
d <- GAMart()
b1 <- bamlss(num ~ s(x1), data = d)
b2 <- bamlss(num ~ s(x1) + s(x2), data = d)
WAIC(b1, b2)
# }