boots<-

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.

value


Add to a dataset a list of samples from raw data computed using bootstrap.


boots&lt;-

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

boots&lt;- function

set list of bootstrap samples of a <code><a rd-options="" href="/link/BNDataset?package=bnstruct&version=1.0" data-mini-rdoc="bnstruct::BNDataset">BNDataset</a></code>.

boots<-: set list of bootstrap samples of a `BNDataset`.

Description

Usage

Arguments