ordering_gen_exp

Given the total number of variables, this function generates a character
vector with variables named "Xi", where i is a number in the interval [0,n-1]

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

ordering_gen_exp function

<dl><dt>n</dt>
<dd>the total number of variables desired</dd></dl>

Arguments

Generates the names of n variables. — ordering_gen_exp

<dl>

<dt>n</dt>
<dd>the total number of variables desired</dd>

</dl>

ordering_gen_exp: Generates the names of n variables.

Description

Usage

Value

Arguments