check_and_install

If you encounter problems with installing the required python modules
please make sure, that a correct python version is configured using
<code>py_discover_config</code> and change the python version if required.
Internally uses <code>keras::install_keras</code>.

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

check_and_install function

<dl><dt>force</dt>
<dd>if TRUE, forces the installations</dd>
<dt>engine</dt>
<dd>character; check if tf(= tensorflow) or torch is available</dd></dl>

Arguments

Function to check python environment and install necessary packages — check_and_install

<dl>

<dt>force</dt>
<dd>if TRUE, forces the installations</dd>


<dt>engine</dt>
<dd>character; check if tf(= tensorflow) or torch is available</dd>

</dl>

check_and_install: Function to check python environment and install necessary packages

Description

Usage

Value

Arguments