engines

The function shows available optimizer and sampling engines for a given family object.

models

distribution

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

engines function

<dl> <dt>family</dt>
<dd>A family object or the name of the family.</dd> <dt>...</dt>
<dd>Further family objects or names.</dd></dl>

Arguments

Show Available Engines for a Family Object — engines

<dl>

 <dt>family</dt>
<dd>A family object or the name of the family.</dd>

 <dt>...</dt>
<dd>Further family objects or names.</dd>

</dl>

Show Available Engines for a Family Object

engines: Show Available Engines for a Family Object

Description

Usage

Arguments

Examples