scoring.func

scoring.func,BN-method

scoring.func,BN

Read the scoring function used in the <code>learn.structure</code> method.
Outcome is meaningful only if the structure of a network has been learnt.

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

scoring.func function

<dl><dt>x</dt>
<dd>the <code>BN</code> object.</dd></dl>

Arguments

Read the scoring function used to learn the structure of a network. — scoring.func

<dl>

<dt>x</dt>
<dd>the <code>BN</code> object.</dd>

</dl>

scoring.func: Read the scoring function used to learn the structure of a network.

Description

Usage

Value

Arguments