dynamic_ordering

This method gets the structure of a DBN, isolates the nodes of a single
time slice and then gives a topological ordering of them.

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

dynamic_ordering function

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

Arguments

Gets the ordering of a single time slice in a DBN — dynamic_ordering

<dl>

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

</dl>

dynamic_ordering: Gets the ordering of a single time slice in a DBN

Description

Usage

Value

Arguments