test.updated.bn: check if an updated 'BN' is present in an 'InferenceEngine'.

In tavazzie/bnstructScore: Bayesian Network Structure Learning from Data with Missing Values

Description

Check if an InferenceEngine actually contains an updated network, in order to provide the chance of a fallback and use the original network if no belief propagation has been performed. An InferenceEngine built specifying a set of interventions will contain an updated BN with altered structure and no conditional probability tables (unless they are computed by a belief propagation operation.)

Usage

test.updated.bn(x)

## S4 method for signature 'InferenceEngine'
test.updated.bn(x)

Arguments

x	an InferenceEngine.

Value

TRUE if an updated network is contained in the InferenceEngine, FALSE otherwise.

Examples

## Not run: 
dataset <- BNDataset("file.header", "file.data")
bn <- BN(dataset)
ie <- InferenceEngine(bn)
test.updated.bn(ie) # FALSE

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

interventions <- list("intervention.vars"=("A","G","X"), "intervention.vals"=c(1,2,1))
ie2 <- InferenceEngine(bn, interventions = interventions)
test.updated.bn(ie2) # TRUE

## End(Not run)

tavazzie/bnstructScore documentation built on Dec. 23, 2021, 7:47 a.m.