degree

#' Generic method for calculating the degree of a list of nodes in a
BN or a DBN. Calls bnlearn's <code>degree</code> underneath. 
I have to redefine the generic and mask the original for it to work on both 
bn and dbn objects without the user having to import bnlearn.

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

degree function

<dl><dt>object</dt>
<dd>a "bn", "dbn", "bn.fit" or "dbn.fit" object</dd>
<dt>Nodes</dt>
<dd>which nodes to check</dd>
<dt>...</dt>
<dd>additional parameters</dd></dl>

Arguments

Calculates the degree of a list of nodes — degree

<dl>

<dt>object</dt>
<dd>a "bn", "dbn", "bn.fit" or "dbn.fit" object</dd>


<dt>Nodes</dt>
<dd>which nodes to check</dd>


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

</dl>

degree: Calculates the degree of a list of nodes

Description

Usage

Value

Arguments