all.equal.dbn

Generic method for checking the equality of two
"dbn" S3 objects. Calls bnlearn's <code><a href="/link/all.equal?package=dbnR&version=0.7.8" data-mini-rdoc="dbnR::all.equal">all.equal</a></code> 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

all.equal.dbn function

<dl><dt>target</dt>
<dd>"dbn" object</dd>
<dt>current</dt>
<dd>the other "dbn" object</dd>
<dt>...</dt>
<dd>additional parameters</dd></dl>

Arguments

Generic method for checking the equality of two
"dbn" S3 objects. Calls bnlearn's <code><a href='https://rdrr.io/r/base/all.equal.html'>all.equal</a></code> underneath.

Check if two network structures are equal to each other — all.equal.dbn

<dl>

<dt>target</dt>
<dd>"dbn" object</dd>


<dt>current</dt>
<dd>the other "dbn" object</dd>


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

</dl>

all.equal.dbn: Check if two network structures are equal to each other

Description

Usage

Value

Arguments