get_special

Extract terms defined by specials in formula

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_special function

<dl><dt>term</dt>
<dd>term in formula</dd>
<dt>specials</dt>
<dd>string(s); special name(s)</dd>
<dt>simplify</dt>
<dd>logical; shortcut for returning only
the name of the special in term</dd></dl>

Arguments

Extract terms defined by specials in formula — get_special

<dl>

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


<dt>specials</dt>
<dd>string(s); special name(s)</dd>


<dt>simplify</dt>
<dd>logical; shortcut for returning only
the name of the special in term</dd>

</dl>

get_special: Extract terms defined by specials in formula

Description

Usage

Value

Arguments