junction.tree<-

junction.tree<-,InferenceEngine-method

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

the junction tree to be inserted in the <code><a rd-options="" href="/link/InferenceEngine?package=bnstruct&version=1.0" data-mini-rdoc="bnstruct::InferenceEngine">InferenceEngine</a></code>.

value


Set the adjacency matrix of the junction tree computed for a network.


junction.tree&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

junction.tree&lt;- function

set the junction tree of an <code><a rd-options="" href="/link/InferenceEngine?package=bnstruct&version=1.0" data-mini-rdoc="bnstruct::InferenceEngine">InferenceEngine</a></code>.

junction.tree<-: set the junction tree of an `InferenceEngine`.

Description

Usage

Arguments