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

In bnstruct: Bayesian Network Structure Learning from Data with Missing Values

check if an updated BN is present in an InferenceEngine.

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)

bnstruct documentation built on Dec. 1, 2022, 1:22 a.m.