junction.tree&lt;-

junction.tree&lt;-,InferenceEngine-method

Set the adjacency matrix of the junction tree computed for a network.

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

junction.tree&lt;- function

<dl><dt>x</dt>
<dd>an <code>InferenceEngine</code>.</dd>
<dt>value</dt>
<dd>the junction tree to be inserted in the <code>InferenceEngine</code>.</dd></dl>

Arguments

set the junction tree of an InferenceEngine. — junction.tree&lt;-

<dl>

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


<dt>value</dt>
<dd>the junction tree to be inserted in the <code>InferenceEngine</code>.</dd>

</dl>

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junction.tree<-: set the junction tree of an `InferenceEngine`.

Description

Usage

Arguments