make_topology: Bayesian Networks with varying topologies

In BNDataGenerator: Data Generator based on Bayesian Network Model

Description

Bayesian Networks with varying topologies (DAGs) with number of nodes.

Usage

	make_topology(nodes, topology, Probs, nodename=NULL, cardinality=NULL)

Arguments

nodes	The number of nodes.
topology	Geometric characteristic. Collapse, Line, Star, PseudoLoop, Diamond, Rhombus.
Probs	The conditional probabilities.
nodename	The names of each nodes.
cardinality	The cardinality of each nodes.

Details

The volume of the manifold is a geometric characteristic associated with the topology of Bayesian network. Each BN produces a different magnitude of the volume based on the DAG of Bayesian network. Collapse, Line, Star, PseudoLoop, Diamond, Rhombus.

Author(s)

Jae-seong Yoo <[e-mail]>

References

Eitel J. M. L., (2008), An Information-geometric approach to learning Bayesian network topologies from data, Innovations in Bayesian Networks Studies in Computational Intelligence, Vol. 156, 187-217.

See Also

See demo(topology).

BNDataGenerator documentation built on May 1, 2019, 8:04 p.m.