BayesNetBP (version 1.6.1)

Propagate: Propagate the cluster tree

Description

This function propagates the discrete compartment of a '>ClusterTree object.

Usage

Propagate(tree, targets = NA)

Arguments

tree

an initialized '>ClusterTree object

targets

the cluster involved in evidence propagation, usually set by default

Value

a '>ClusterTree object

Details

The discrete compartment must be propagted to get the joint distributions of discrete variables in each discrete clusters. A '>ClusterTree object must be propagated before absorbing evidence and making queries.

References

Cowell, R. G. (2005). Local propagation in conditional Gaussian Bayesian networks. Journal of Machine Learning Research, 6(Sep), 1517-1550.

Lauritzen, S. L., & Spiegelhalter, D. J. (1988). Local computations with probabilities on graphical structures and their application to expert systems. Journal of the Royal Statistical Society. Series B (Methodological), 157-224.

Yu H, Moharil J, Blair RH (2020). BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks. Journal of Statistical Software, 94(3), 1-31. <doi:10.18637/jss.v094.i03>.

Examples

# NOT RUN {
data(liver)
tree.init <- Initializer(dag=liver$dag, data=liver$data,
                         node.class=liver$node.class,
                         propagate = FALSE)
tree.init@propagated
tree.init.p <- Propagate(tree.init)
tree.init.p@propagated

# }