Propagate {BayesNetBP}

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

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.

Value

a ClusterTree object

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

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