Volcano

This function creates a data set based on the <code><a href="/link/volcano?package=bamlss&version=1.2-3" data-mini-rdoc="bamlss::volcano">volcano</a></code>
 data by adding normal errors to the topographic information.

datasets

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

Volcano function

<dl> <dt>sd</dt>
<dd>The standard deviation of the normal errors.</dd></dl>

Arguments

This function creates a data set based on the <code><a href='https://rdrr.io/r/datasets/volcano.html'>volcano</a></code>
 data by adding normal errors to the topographic information.

Artificial Data Set based on Auckland's Maunga Whau Volcano — Volcano

<dl>

 <dt>sd</dt>
<dd>The standard deviation of the normal errors.</dd>

</dl>

Volcano: Artificial Data Set based on Auckland's Maunga Whau Volcano

Description

Usage

Value

Arguments

See Also

Examples