has.boots

has.boots,BNDataset-method

has.boots,BNDataset

Return <code>TRUE</code> if the given dataset contains samples for bootstrap, <code>FALSE</code> otherwise.

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

has.boots function

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

Arguments

check whether a BNDataset has bootstrap samples or not. — has.boots

<dl>

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

</dl>

has.boots: check whether a `BNDataset` has bootstrap samples or not.

Description

Usage

Value

Arguments

See Also