get_weight_by_opname

Function to return weight given model and name

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_weight_by_opname function

<dl><dt>mod</dt>
<dd>deepregression model</dd>
<dt>name</dt>
<dd>character</dd>
<dt>partial_match</dt>
<dd>logical; whether to also check for a partial match</dd></dl>

Arguments

Function to return weight given model and name — get_weight_by_opname

<dl>

<dt>mod</dt>
<dd>deepregression model</dd>


<dt>name</dt>
<dd>character</dd>


<dt>partial_match</dt>
<dd>logical; whether to also check for a partial match</dd>

</dl>

get_weight_by_opname: Function to return weight given model and name

Description

Usage

Arguments