InferenceEngineclass {bnstruct}  R Documentation 
InferenceEngine class.
Description
InferenceEngine class.
Constructor method of InferenceEngine
class.
constructor for InferenceEngine
object
Usage
## S4 method for signature 'InferenceEngine'
initialize(.Object, ...)
InferenceEngine(bn = NULL, observations = NULL, interventions = NULL, ...)
Arguments
.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:

Value
an InferenceEngine object.
InferenceEngine object.
Slots
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
.
Examples
## 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)