bn_translate_exp

Experimental function that translates a natPosition vector into a DBN network.

internal

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

bn_translate_exp function

<dl><dt>ps</dt>
<dd>a position vector of natural numbers</dd>
<dt>ordering_raw</dt>
<dd>the ordering of the variables</dd>
<dt>n_arcs</dt>
<dd>the total number of arcs</dd>
<dt>nodes</dt>
<dd>the name of all the nodes in the network</dd></dl>

Arguments

Experimental function that translates a natPosition vector into a DBN network. — bn_translate_exp

<dl>

<dt>ps</dt>
<dd>a position vector of natural numbers</dd>


<dt>ordering_raw</dt>
<dd>the ordering of the variables</dd>


<dt>n_arcs</dt>
<dd>the total number of arcs</dd>


<dt>nodes</dt>
<dd>the name of all the nodes in the network</dd>

</dl>

bn_translate_exp: Experimental function that translates a natPosition vector into a DBN network.

Description

Usage

Value

Arguments