get_nodedata

Extract attributes/hyper-parameters of the 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_nodedata function

<dl><dt>term</dt>
<dd>term in formula</dd>
<dt>what</dt>
<dd>string specifying what to return</dd></dl>

Arguments

Extract attributes/hyper-parameters of the node term — get_nodedata

<dl>

<dt>term</dt>
<dd>term in formula</dd>


<dt>what</dt>
<dd>string specifying what to return</dd>

</dl>

get_nodedata: Extract attributes/hyper-parameters of the node term

Description

Usage

Value

Arguments