num.nodes&lt;-

num.nodes&lt;-,BN-method

num.nodes&lt;-,InferenceEngine-method

the number of nodes in the object.

value

Set the number of nodes of an object of type <code><a rd-options="" href="/link/BN?package=bnstruct&version=1.0.6" data-mini-rdoc="bnstruct::BN">BN</a></code> (number of nodes of the network)
or <code><a rd-options="" href="/link/InferenceEngine?package=bnstruct&version=1.0.6" data-mini-rdoc="bnstruct::InferenceEngine">InferenceEngine</a></code> (where parameter contains the number of nodes of the junction tree).

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.nodes&lt;- function

Set the number of nodes of an object of type <code><a rd-options='' href='BN'>BN</a></code> (number of nodes of the network)
or <code><a rd-options='' href='InferenceEngine'>InferenceEngine</a></code> (where parameter contains the number of nodes of the junction tree).

num.nodes<-: set number of nodes of an object.

Description

Usage

Arguments