marginals

marginals,InferenceEngine-method

marginals,InferenceEngine

Given an <code>InferenceEngine</code>, it returns a list containing the marginals for the variables
in the network, according to the propagated beliefs.

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

marginals function

<dl><dt>x</dt>
<dd>an <code>InferenceEngine</code></dd>
<dt>...</dt>
<dd>potential further arguments of methods.</dd></dl>

Arguments

compute the list of inferred marginals of a BN. — marginals

<dl>

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


<dt>...</dt>
<dd>potential further arguments of methods.</dd>

</dl>

marginals: compute the list of inferred marginals of a BN.

Description

Usage

Value

Arguments

Examples