variables

variables,BN-method

variables,BN

variables,BNDataset-method

variables,BNDataset

<p>Get the list of variables (with their names) of a <code><a rd-options="" href="/link/BN?package=bnstruct&version=1.0.6" data-mini-rdoc="bnstruct::BN">BN</a></code> or <code><a rd-options="" href="/link/BNDataset?package=bnstruct&version=1.0.6" data-mini-rdoc="bnstruct::BNDataset">BNDataset</a></code>.</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

variables function

<p>Get the list of variables (with their names) of a <code><a rd-options='' href='BN'>BN</a></code> or <code><a rd-options='' href='BNDataset'>BNDataset</a></code>.</p>

get variables of an object. — variables

get variables of an object.

variables: get variables of an object.

Description

Usage

Arguments

Value