num.items<-

num.items<-,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


Set the number of observed items (rows) in a dataset.


num.items&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

num.items&lt;- function

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

num.items<-: set number of items of a `BNDataset`.

Description

Usage

Arguments