has.imputed.boots

has.imputed.boots,BNDataset

has.imputed.boots,BNDataset-method

a <code><a rd-options="" href="/link/BNDataset?package=bnstruct&version=1.0" 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 Hill-climbing heuristic search, 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.

Francesco Sambo

bnstruct

Bayesian Network Structure Learning from Data with Missing
Values

has.imputed.boots function

check whether a <code><a rd-options="" href="/link/BNDataset?package=bnstruct&version=1.0" 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