prepare_torch_distr_mixdistr

Prepares distributions for mixture process

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

prepare_torch_distr_mixdistr function

<dl><dt>object</dt>
<dd>object of class <code>"drEnsemble"</code></dd>
<dt>dists</dt>
<dd>fitted distributions</dd></dl>

Arguments

Prepares distributions for mixture process — prepare_torch_distr_mixdistr

<dl>

<dt>object</dt>
<dd>object of class <code>"drEnsemble"</code></dd>


<dt>dists</dt>
<dd>fitted distributions</dd>

</dl>

prepare_torch_distr_mixdistr: Prepares distributions for mixture process

Description

Usage

Value

Arguments