node.sizes&lt;-

node.sizes&lt;-,BN-method

node.sizes&lt;-,BNDataset-method

Set the size of the variables of a BN or BNDataset object. It represents the actual cardinality
of discrete variables, and the cardinality of the discretized variable for continuous variables.

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

node.sizes&lt;- function

<dl><dt>x</dt>
<dd>an object.</dd>
<dt>value</dt>
<dd>vector contaning the size of each variable of the object.</dd></dl>

Arguments

set the size of variables of an object. — node.sizes&lt;-

<dl>

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


<dt>value</dt>
<dd>vector contaning the size of each variable of the object.</dd>

</dl>

node.sizes<-: set the size of variables of an object.

Description

Usage

Arguments