extractvar

Allows for the specification of semi-structured deep distributional regression models which are fitted in a neural network as
proposed by Ruegamer et al. (2023) <doi:10.18637/jss.v105.i02>.
Predictors can be modeled using structured (penalized) linear effects, structured non-linear effects or using an unstructured deep network model.

David Ruegamer

deepregression

Fitting Deep Distributional Regression

Christopher Marquardt

Laetitia Frost

Florian Pfisterer

Philipp Baumann

Chris Kolb

Lucas Kook

extractvar function

<dl><dt>term</dt>
<dd>term specified in formula</dd>
<dt>allow_ia</dt>
<dd>logical; whether to allow interaction of terms
using the <code>:</code> notation</dd></dl>

Arguments

Extract variable from term — extractvar

<dl>

<dt>term</dt>
<dd>term specified in formula</dd>


<dt>allow_ia</dt>
<dd>logical; whether to allow interaction of terms
using the <code>:</code> notation</dd>

</dl>

Extract variable from term

extractvar: Extract variable from term

Description

Usage

Value

Arguments