export_abnFit_bayes

Export abnFit object fitted with Bayesian methods

internal

The 'abn' R package facilitates Bayesian network analysis, a
probabilistic graphical model that derives from empirical data a
directed acyclic graph (DAG). This DAG describes the dependency
structure between random variables. The R package 'abn' provides
routines to help determine optimal Bayesian network models for a given
data set. These models are used to identify statistical dependencies
in messy, complex data. Their additive formulation is equivalent to
multivariate generalised linear modelling, including mixed models with
independent and identically distributed (iid) random effects. The core
functionality of the 'abn' package revolves around model selection,
also known as structure discovery. It supports both exact and
heuristic structure learning algorithms and does not restrict the data
distribution of parent-child combinations, providing flexibility in
model creation and analysis. The 'abn' package uses Laplace
approximations for metric estimation and includes wrappers to the
'INLA' package. It also employs 'JAGS' for data simulation purposes.
For more resources and information, visit the 'abn' website.

Matteo Delucchi

Modelling Multivariate Data with Additive Bayesian Networks

Reinhard Furrer

Gilles Kratzer

Fraser Iain Lewis

Jonas I. Liechti

Marta Pittavino

Kalina Cherneva

export_abnFit_bayes function

<dl><dt>object</dt>
<dd>An object of class <code>abnFit</code>, typically created by <code>fitAbn</code>.</dd>
<dt>format</dt>
<dd>Character string specifying the export format. Currently, only
<code>"json"</code> is supported.</dd>
<dt>include_network</dt>
<dd>Logical, whether to include network structure (variables
and arcs). Default is <code>TRUE</code>.</dd>
<dt>scenario_id</dt>
<dd>Optional character string or numeric identifier for the model
run or scenario. Useful for tracking multiple model versions or experiments.
Default is <code>NULL</code>.</dd>
<dt>label</dt>
<dd>Optional character string providing a descriptive name or label
for the scenario. Default is <code>NULL</code>.</dd>
<dt>...</dt>
<dd>Additional export options (currently unused, reserved for future extensions).</dd></dl>

Arguments

Export abnFit object fitted with Bayesian methods — export_abnFit_bayes

<dl>

<dt>object</dt>
<dd>An object of class <code>abnFit</code>, typically created by <code>fitAbn</code>.</dd>


<dt>format</dt>
<dd>Character string specifying the export format. Currently, only
<code>"json"</code> is supported.</dd>


<dt>include_network</dt>
<dd>Logical, whether to include network structure (variables
and arcs). Default is <code>TRUE</code>.</dd>


<dt>scenario_id</dt>
<dd>Optional character string or numeric identifier for the model
run or scenario. Useful for tracking multiple model versions or experiments.
Default is <code>NULL</code>.</dd>


<dt>label</dt>
<dd>Optional character string providing a descriptive name or label
for the scenario. Default is <code>NULL</code>.</dd>


<dt>...</dt>
<dd>Additional export options (currently unused, reserved for future extensions).</dd>

</dl>

export_abnFit_bayes: Export abnFit object fitted with Bayesian methods

Description

Usage

Value

Arguments

Details