get_gamdata_reduced_nr

Extract number in matching table of reduced gam 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_gamdata_reduced_nr function

<dl><dt>term</dt>
<dd>term in formula</dd>
<dt>param_nr</dt>
<dd>integer; number of the distribution parameter</dd>
<dt>gamdata</dt>
<dd>list as returned by <code>precalc_gam</code></dd></dl>

Arguments

Extract number in matching table of reduced gam term — get_gamdata_reduced_nr

<dl>

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


<dt>param_nr</dt>
<dd>integer; number of the distribution parameter</dd>


<dt>gamdata</dt>
<dd>list as returned by <code>precalc_gam</code></dd>

</dl>

get_gamdata_reduced_nr: Extract number in matching table of reduced gam term

Description

Usage

Value

Arguments