WAIC

0th

Percentile

Watanabe-Akaike Information Criterion (WAIC)

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

Keywords
regression
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.

Aliases
  • 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)
# }
Documentation reproduced from package bamlss, version 1.1-2, License: GPL-2 | GPL-3

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