create_natcauslist_cpp

Create a natural causal list from a DBN. This is the C++ backend of the function.

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

create_natcauslist_cpp function

<dl><dt>cl</dt>
<dd>an initialized causality list</dd>
<dt>net</dt>
<dd>a dbn object treated as a list of lists</dd>
<dt>ordering</dt>
<dd>a vector with the names of the variables in order</dd></dl>

Arguments

Create a natural causal list from a DBN. This is the C++ backend of the function. — create_natcauslist_cpp

<dl>

<dt>cl</dt>
<dd>an initialized causality list</dd>


<dt>net</dt>
<dd>a dbn object treated as a list of lists</dd>


<dt>ordering</dt>
<dd>a vector with the names of the variables in order</dd>

</dl>

create_natcauslist_cpp: Create a natural causal list from a DBN. This is the C++ backend of the function.

Description

Usage

Value

Arguments