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

cv function

<dl><dt>x</dt>
<dd>model to do cv on</dd>
<dt>...</dt>
<dd>further arguments passed to the class-specific function</dd></dl>

Arguments

Generic cv function — cv

<dl>

<dt>x</dt>
<dd>model to do cv on</dd>


<dt>...</dt>
<dd>further arguments passed to the class-specific function</dd>

</dl>

Generic cv function

cv: Generic cv function

Description

Usage

Arguments