plot.dbn.fit

Generic method for plotting the "dbn.fit" S3 objects. Calls 
<code>plot_dynamic_network</code> underneath.

Learning and inference over dynamic Bayesian networks of arbitrary
Markovian order. Extends some of the functionality offered by the 'bnlearn'
package to learn the networks from data and perform exact inference.
It offers three structure learning algorithms for dynamic Bayesian networks:
Trabelsi G. (2013) <doi:10.1007/978-3-642-41398-8_34>, Santos F.P. and Maciel C.D. (2014)
<doi:10.1109/BRC.2014.6880957>, Quesada D., Bielza C. and Larrañaga P. (2021)
<doi:10.1007/978-3-030-86271-8_14>. It also offers the possibility to perform
forecasts of arbitrary length. A tool for visualizing the structure of the
net is also provided via the 'visNetwork' package.

David Quesada

dbnR

Dynamic Bayesian Network Learning and Inference

Gabriel Valverde

plot.dbn.fit function

<dl><dt>x</dt>
<dd>the structure of the network.</dd>
<dt>...</dt>
<dd>additional parameters for the visualization of a DBN</dd></dl>

Arguments

Plots a fitted dynamic Bayesian network — plot.dbn.fit

<dl>

<dt>x</dt>
<dd>the structure of the network.</dd>


<dt>...</dt>
<dd>additional parameters for the visualization of a DBN</dd>

</dl>

plot.dbn.fit: Plots a fitted dynamic Bayesian network

Description

Usage

Arguments