child_NA_5000

<p>The <code>Child</code> dataset contains 5000 randomly generated items with missing data (no latent variables) of the <code>Child</code> Bayesian Network.
Imputation is performed, so both raw and imputed data is present.</p>

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

child_NA_5000 function

<p>a <code>BNDataset</code> with a raw and imputed data slow filled with 5000 items.</p>

child_NA_5000: `Child` dataset.

Description

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Format

Details

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See Also