node_levels

a topological order of the nodes, with the orphan nodes
in the first place. See <code><a rd-options="" href="/link/node.ordering?package=dbnR&version=0.7.1" data-mini-rdoc="dbnR::node.ordering">node.ordering</a></code>

order

accumulator of the nodes already processed

Calculates the levels in which the nodes will be distributed when plotting
the structure. This level is defined by their parent nodes: a node with no
parents will always be in the level 0. Subsequently, the level of a node
will be one more of the maximum level of his parents.

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

node_levels function

a topological order of the nodes, with the orphan nodes
in the first place. See <code><a rd-options='' href='node.ordering'>node.ordering</a></code>

node_levels: Defines a level for every node in the net

Description

Usage

Arguments

Value