scoring.func<-

scoring.func<-,BN-method

the <code><a rd-options="" href="/link/BN?package=bnstruct&version=1.0" data-mini-rdoc="bnstruct::BN">BN</a></code> object.

value


Set the scoring function used in the <code><a rd-options="" href="/link/learn.structure?package=bnstruct&version=1.0" data-mini-rdoc="bnstruct::learn.structure">learn.structure</a></code> method.


scoring.func&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.

scoring.func<-: Set the scoring function used to learn the structure of a network.

Description

Usage

Arguments

Value