get_names_pfc

Extract term names from the parsed formula content

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_names_pfc function

<dl><dt>pfc</dt>
<dd>parsed formula content</dd></dl>

Arguments

Extract term names from the parsed formula content — get_names_pfc

<dl>

<dt>pfc</dt>
<dd>parsed formula content</dd>

</dl>

get_names_pfc: Extract term names from the parsed formula content

Description

Usage

Value

Arguments