print.dbn.fit

Generic print method for "dbn.fit" S3 objects. Calls bnlearn's print 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

print.dbn.fit function

<dl><dt>x</dt>
<dd>the "dbn.fit" object</dd>
<dt>...</dt>
<dd>additional parameters</dd></dl>

Arguments

Print method for "dbn.fit" objects — print.dbn.fit

<dl>

<dt>x</dt>
<dd>the "dbn.fit" object</dd>


<dt>...</dt>
<dd>additional parameters</dd>

</dl>

print.dbn.fit: Print method for "dbn.fit" objects

Description

Usage

Arguments