nat_pos_minus_pos_cpp

Subtracts two natPositions to obtain the natVelocity that transforms ps1 into ps2

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

nat_pos_minus_pos_cpp function

<dl><dt>ps1</dt>
<dd>the first position's causal list</dd>
<dt>ps2</dt>
<dd>the second position's causal list</dd>
<dt>vl</dt>
<dd>the natVelocity's positive causal list</dd>
<dt>vl_neg</dt>
<dd>the natVelocity's negative causal list</dd></dl>

Arguments

Subtracts two natPositions to obtain the natVelocity that transforms ps1 into ps2 — nat_pos_minus_pos_cpp

<dl>

<dt>ps1</dt>
<dd>the first position's causal list</dd>


<dt>ps2</dt>
<dd>the second position's causal list</dd>


<dt>vl</dt>
<dd>the natVelocity's positive causal list</dd>


<dt>vl_neg</dt>
<dd>the natVelocity's negative causal list</dd>

</dl>

nat_pos_minus_pos_cpp: Subtracts two natPositions to obtain the natVelocity that transforms ps1 into ps2

Description

Usage

Value

Arguments