test.updated.bn

test.updated.bn,InferenceEngine-method

test.updated.bn,InferenceEngine

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 <code>InferenceEngine</code> built specifying a set of interventions will contain
an updated <code>BN</code> with altered structure and no conditional probability tables
(unless they are computed by a belief propagation operation.)

Bayesian Network Structure Learning from Data with Missing Values.
The package implements the Silander-Myllymaki complete search,
the Max-Min Parents-and-Children, the Hill-Climbing, the
Max-Min Hill-climbing heuristic searches, and the Structural
Expectation-Maximization algorithm. Available scoring functions are
BDeu, AIC, BIC. The package also implements methods for generating and using
bootstrap samples, imputed data, inference.

Alberto Franzin

bnstruct

Bayesian Network Structure Learning from Data with Missing
Values

Francesco Sambo

test.updated.bn function

<dl><dt>x</dt>
<dd>an <code>InferenceEngine</code>.</dd></dl>

Arguments

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

<dl>

<dt>x</dt>
<dd>an <code>InferenceEngine</code>.</dd>

</dl>

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

Description

Usage

Value

Arguments