Causlist

a vector with the names of the nodes in t_0

ordering

size

Constructor of the 'Causlist' class

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
and 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

Causlist function

<dl class="dl-horizontal">
<dt><code>cl</code></dt><dd>List of causal units</dd></dl><dt><code>size</code></dt><dd>Size of the DBN</dd><dt><code>ordering</code></dt><dd>String vector defining the order of the nodes in a timeslice</dd>

Fields

This file contains all the classes needed for the PSOHO structure learning 
algorithm. It was implemented as an independent package in
https://github.com/dkesada/PSOHO and then merged into dbnR. All the original
source files are merged into one to avoid bloating the R/ folder of the
package. — Causlist

This file contains all the classes needed for the PSOHO structure learning 
algorithm. It was implemented as an independent package in
https://github.com/dkesada/PSOHO and then merged into dbnR. All the original
source files are merged into one to avoid bloating the R/ folder of the
package.

Description

Arguments

Value

Fields

Details