num.variables

num.variables,BNDataset-method

num.variables,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 the number of the variables contained in a dataset. This value corresponds to the value
of <code><a rd-options="" href="/link/num.nodes?package=bnstruct&version=1.0.6" data-mini-rdoc="bnstruct::num.nodes">num.nodes</a></code> of a network built upon the same dataset.

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

num.variables function

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

Return the number of the variables contained in a dataset. This value corresponds to the value
of <code><a rd-options='' href='num.nodes'>num.nodes</a></code> of a network built upon the same dataset.

get number of variables of a <code><a rd-options='' href='BNDataset'>BNDataset</a></code>. — num.variables

get number of variables of a <code><a rd-options='' href='BNDataset'>BNDataset</a></code>.

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

num.variables: get number of variables of a `BNDataset`.

Description

Usage

Arguments

Value

See Also