separate_define_relation

Function to define orthogonalization connections in the 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

separate_define_relation function

<dl><dt>form</dt>
<dd>a formula for one distribution parameter</dd>
<dt>specials</dt>
<dd>specials in formula to handle separately</dd>
<dt>specials_to_oz</dt>
<dd>parts of the formula to orthogonalize</dd>
<dt>automatic_oz_check</dt>
<dd>logical; automatically check if terms must be orthogonalized</dd>
<dt>identify_intercept</dt>
<dd>logical; whether to make the intercept identifiable</dd>
<dt>simplify</dt>
<dd>logical; if FALSE, formulas are parsed more carefully.</dd></dl>

Arguments

Function to define orthogonalization connections in the formula — separate_define_relation

<dl>

<dt>form</dt>
<dd>a formula for one distribution parameter</dd>


<dt>specials</dt>
<dd>specials in formula to handle separately</dd>


<dt>specials_to_oz</dt>
<dd>parts of the formula to orthogonalize</dd>


<dt>automatic_oz_check</dt>
<dd>logical; automatically check if terms must be orthogonalized</dd>


<dt>identify_intercept</dt>
<dd>logical; whether to make the intercept identifiable</dd>


<dt>simplify</dt>
<dd>logical; if FALSE, formulas are parsed more carefully.</dd>

</dl>

separate_define_relation: Function to define orthogonalization connections in the formula

Description

Usage

Value

Arguments