num.variables

num.variables,BNDataset

num.variables,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 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" 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 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

num.variables function

get number of variables of a <code><a rd-options="" href="/link/BNDataset?package=bnstruct&version=1.0" data-mini-rdoc="bnstruct::BNDataset">BNDataset</a></code>.

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

Description

Usage

Arguments

Value

See Also