has.imputed.boots

has.imputed.boots,BNDataset-method

has.imputed.boots,BNDataset

a <code><a rd-options="" href="/link/BNDataset?package=bnstruct&version=1.0.6" data-mini-rdoc="bnstruct::BNDataset">BNDataset</a></code> object.

Return <code>TRUE</code> if the given dataset contains samples for bootstrap from inputed dataset, <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.imputed.boots function

a <code><a rd-options='' href='BNDataset'>BNDataset</a></code> object.

check whether a <code><a rd-options='' href='BNDataset'>BNDataset</a></code> has bootstrap samples from imputed data or not. — has.imputed.boots

check whether a <code><a rd-options='' href='BNDataset'>BNDataset</a></code> has bootstrap samples from imputed data or not.

check whether a <code><a rd-options="" href="/link/BNDataset?package=bnstruct&version=1.0.6" data-mini-rdoc="bnstruct::BNDataset">BNDataset</a></code> has bootstrap samples from imputed data or not.

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

Description

Usage

Arguments

Value

See Also