AbsorbEvidence: Absorb evidence into the model
In Yam76/BayesNetBP: Bayesian Network Belief Propagation

Description Usage Arguments Details Value Author(s) References Examples

Absorb evidence into the model

1	AbsorbEvidence(tree, vars, values)

`tree`	a `ClusterTree` object
`vars`	a `vector` of the names of observed variables
`values`	a `list` of observed values of the variables. Aside from a single value, The element of the list can also be a vector of likelihood values

Absorb multiple types and pieces of evidences into a ClusterTree object. The discrete compartment of the ClusterTree will be automatically propagated after evidence absorption, so that the object will be ready for making queries and absorbing additional evidence.

ClusterTree object with the evidence absorbed

Han Yu

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.

data(liver)
tree.init.p <- Initializer(dag=liver$dag, data=liver$data,
                           node.class=liver$node.class,
                           propagate = TRUE)
tree.post <- AbsorbEvidence(tree.init.p, c("Nr1i3", "chr1_42.65"), list(1,"1"))