belief.propagation: perform belief propagation.

Description Usage Arguments Value Examples

Description

Perform belief propagation for the network of an InferenceEngine, given a set of observations. In the current version of bnstruct, belief propagation can be computed only over a junction tree.

Usage

1
2
3
4
belief.propagation(ie, observations = NULL, return.potentials = FALSE)

## S4 method for signature 'InferenceEngine'
belief.propagation(ie, observations = NULL, return.potentials = FALSE)

Arguments

ie

an InferenceEngine object.

observations

list of observations, consisting in two vector, observed.vars for the observed variables, and observed.vals for the values taken by the variables listed in observed.vars. If no observations are provided, the InferenceEngine will use the ones it already contains.

return.potentials

if TRUE only the potentials are returned, instead of the default BN.

Value

updated InferenceEngine object.

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
## Not run: 
dataset <- BNDataset("file.header", "file.data")
bn <- BN(dataset)
ie <- InferenceEngine(bn)
ie <- belief.propagation(ie)

observations(ie) <- list("observed.vars"=("A","G","X"), "observed.vals"=c(1,2,1))
belief.propagation(ie)

## End(Not run)

bnstruct documentation built on July 2, 2020, 2:26 a.m.