imputed.data&lt;-

imputed.data&lt;-,BNDataset-method

Insert imputed data in a <code>BNDataset</code> object.

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

imputed.data&lt;- function

<dl><dt>x</dt>
<dd>a <code>BNDataset</code>.</dd>
<dt>value</dt>
<dd>a matrix of integers containing a dataset.</dd></dl>

Arguments

add imputed data. — imputed.data&lt;-

<dl>

<dt>x</dt>
<dd>a <code>BNDataset</code>.</dd>


<dt>value</dt>
<dd>a matrix of integers containing a dataset.</dd>

</dl>

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imputed.data<-: add imputed data.

Description

Usage

Arguments

See Also