junction.tree

junction.tree,InferenceEngine-method

junction.tree,InferenceEngine

Return the adjacency matrix representing 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 function

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

Arguments

get the junction tree of an InferenceEngine. — junction.tree

<dl>

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

</dl>

junction.tree: get the junction tree of an `InferenceEngine`.

Description

Usage

Value

Arguments

Details

See Also