mean.dbn.fit

Generic method for "dbn.fit" S3 objects. 
Calls bnlearn 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

mean.dbn.fit function

<dl><dt>x</dt>
<dd>the fitted network</dd>
<dt>...</dt>
<dd>additional parameters</dd></dl>

Arguments

Average the parameters of multiple dbn.fit objects with identical structures — mean.dbn.fit

<dl>

<dt>x</dt>
<dd>the fitted network</dd>


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

</dl>

mean.dbn.fit: Average the parameters of multiple dbn.fit objects with identical structures

Description

Usage

Value

Arguments