wpdag&lt;-

wpdag&lt;-,BN-method

Set the weighted partially directed acyclic graph of a network (e.g. in case bootstrap on dataset is performed).

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

wpdag&lt;- function

<dl><dt>x</dt>
<dd>an object.</dd>
<dt>value</dt>
<dd>matrix contaning the WPDAG of the object.</dd></dl>

Arguments

set WPDAG of the object. — wpdag&lt;-

<dl>

<dt>x</dt>
<dd>an object.</dd>


<dt>value</dt>
<dd>matrix contaning the WPDAG of the object.</dd>

</dl>

wpdag<-: set WPDAG of the object.

Description

Usage

Arguments