Generic function returning the deviance information criterion (DIC) of a fitted model object.

regression

Infrastructure for estimating probabilistic distributional regression models in a Bayesian framework.
The distribution parameters may capture location, scale, shape, etc. and every parameter may depend
on complex additive terms (fixed, random, smooth, spatial, etc.) similar to a generalized additive model.
The conceptual and computational framework is introduced in Umlauf, Klein, Zeileis (2019)
<doi:10.1080/10618600.2017.1407325> and the R package in Umlauf, Klein, Simon, Zeileis (2021)
<doi:10.18637/jss.v100.i04>.

Nikolaus Umlauf

bamlss

Bayesian Additive Models for Location, Scale, and Shape (and
Beyond)

Nadja Klein

Achim Zeileis

Meike Koehler

Thorsten Simon

Stanislaus Stadlmann

Alexander Volkmann

DIC function

<dl> <dt>object</dt>
<dd>A fitted model object for which there exists a <code>DIC</code> method.</dd> <dt>...</dt>
<dd>Optionally more fitted model objects.</dd></dl>

Arguments

Deviance Information Criterion — DIC

<dl>

 <dt>object</dt>
<dd>A fitted model object for which there exists a <code>DIC</code> method.</dd>

 <dt>...</dt>
<dd>Optionally more fitted model objects.</dd>

</dl>

DIC: Deviance Information Criterion

Description

Usage

Arguments

Examples