sample.dataset

sample.dataset,BN

sample.dataset,BN-method

sample.dataset,InferenceEngine

sample.dataset,InferenceEngine-method

a <code><a rd-options="" href="/link/BN?package=bnstruct&version=1.0" data-mini-rdoc="bnstruct::BN">BN</a></code> or <code><a rd-options="" href="/link/InferenceEngine?package=bnstruct&version=1.0" data-mini-rdoc="bnstruct::InferenceEngine">InferenceEngine</a></code> object.


sample a <code><a rd-options="" href="/link/BNDataset?package=bnstruct&version=1.0" data-mini-rdoc="bnstruct::BNDataset">BNDataset</a></code> from a network of an inference engine.


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

sample.dataset function

sample a <code><a rd-options="" href="/link/BNDataset?package=bnstruct&version=1.0" data-mini-rdoc="bnstruct::BNDataset">BNDataset</a></code> from a network of an inference engine.

sample.dataset: sample a `BNDataset` from a network of an inference engine.

Description

Usage

Arguments

Value