na_omit_list

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

na_omit_list function

<dl><dt>datalist</dt>
<dd>list of data as returned by <code>prepare_data</code> and 
<code>prepare_newdata</code></dd></dl>

Arguments

Function to exclude NA values — na_omit_list

<dl>

<dt>datalist</dt>
<dd>list of data as returned by <code>prepare_data</code> and 
<code>prepare_newdata</code></dd>

</dl>

Function to exclude NA values

na_omit_list: Function to exclude NA values

Description

Usage

Value

Arguments