Description Usage Arguments Value Slots Examples
InferenceEngine class.
Constructor method of InferenceEngine
class.
constructor for InferenceEngine
object
1 2 3 4  ## S4 method for signature 'InferenceEngine'
initialize(.Object, ...)
InferenceEngine(bn = NULL, observations = NULL, interventions = NULL, ...)

.Object 
an empty InferenceEngine object. 
... 
potential further arguments of methods. 
bn 
a 
observations 
a list of observations composed by the two following vectors:

interventions 
a list of interventions composed of the following two vectors:

an InferenceEngine object.
InferenceEngine object.
junction.tree
:junction tree adjacency matrix.
num.nodes
:number of nodes in the junction tree.
cliques
:list of cliques composing the nodes of the junction tree.
triangulated.graph
:adjacency matrix of the original triangulated graph.
jpts
:inferred joint probability tables.
bn
:original Bayesian Network (as object of class BN
) as provided by the user, or learnt from a dataset.
NULL
if missing.
updated.bn
:Bayesian Network (as object of class BN
) as modified by a belief propagation computation. In particular,
it will have different conditional probability tables with respect to its original version. NULL
if missing.
observed.vars
:list of observed variables, by name or number.
observed.vals
:list of observed values for the corresponding variables in observed.vars
.
intervention.vars
:list of manipulated variables, by name or number.
intervention.vals
:list of specified values for the corresponding variables in intervention.vars
.
1 2 3 4 5 6 7 8 9 10  ## Not run:
dataset < BNDataset()
dataset < read.dataset(dataset, "file.header", "file.data")
bn < BN(dataset)
eng < InferenceEngine(bn)
obs < list(c("A","G,"X),c(1,2,1))
eng.2 < InferenceEngine(bn, obs)
## End(Not run)

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