bn&lt;-

bn&lt;-,InferenceEngine-method

Add an original network to an InferenceEngine.

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

bn&lt;- function

<dl><dt>x</dt>
<dd>an <code>InferenceEngine</code>.</dd>
<dt>value</dt>
<dd>the <code>BN</code> object contained in an <code>InferenceEngine</code>.</dd></dl>

Arguments

set the original BN object contained in an InferenceEngine. — bn&lt;-

<dl>

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


<dt>value</dt>
<dd>the <code>BN</code> object contained in an <code>InferenceEngine</code>.</dd>

</dl>

bn<-: set the original `BN` object contained in an `InferenceEngine`.

Description

Usage

Arguments