dag&lt;-

dag&lt;-,BN-method

Set the adjacency matrix of the directed acyclic graph representing the structure of 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

dag&lt;- function

<dl><dt>x</dt>
<dd>an object.</dd>
<dt>value</dt>
<dd>matrix containing the adjacency matrix of the directed acyclic graph representing
the structure of the object.</dd></dl>

Arguments

set adjacency matrix of an object. — dag&lt;-

<dl>

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


<dt>value</dt>
<dd>matrix containing the adjacency matrix of the directed acyclic graph representing
the structure of the object.</dd>

</dl>

dag<-: set adjacency matrix of an object.

Description

Usage

Arguments