rename_nodes_cpp

Return a list of nodes with the time slice appended up to the desired size
of the 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

rename_nodes_cpp function

<dl><dt>nodes</dt>
<dd>a list with the names of the nodes in the network</dd>
<dt>size</dt>
<dd>the size of the DBN</dd></dl>

Arguments

Return a list of nodes with the time slice appended up to the desired size
of the network — rename_nodes_cpp

<dl>

<dt>nodes</dt>
<dd>a list with the names of the nodes in the network</dd>


<dt>size</dt>
<dd>the size of the DBN</dd>

</dl>

rename_nodes_cpp: Return a list of nodes with the time slice appended up to the desired size of the network

Description

Usage

Value

Arguments