makeInputs

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

makeInputs function

<dl><dt>pp</dt>
<dd>processed predictors</dd>
<dt>param_nr</dt>
<dd>integer for the parameter</dd></dl>

Arguments

Convenience layer function — makeInputs

<dl>

<dt>pp</dt>
<dd>processed predictors</dd>


<dt>param_nr</dt>
<dd>integer for the parameter</dd>

</dl>

Convenience layer function

makeInputs: Convenience layer function

Description

Usage

Value

Arguments