get_node_term

Extract variables from wrapped node term

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

get_node_term function

<dl><dt>term</dt>
<dd>character; node model term</dd></dl>

Arguments

Extract variables from wrapped node term — get_node_term

<dl>

<dt>term</dt>
<dd>character; node model term</dd>

</dl>

get_node_term: Extract variables from wrapped node term

Description

Usage

Value

Arguments