jt.cliques&lt;-

jt.cliques&lt;-,InferenceEngine-method

an <code><a rd-options="" href="/link/InferenceEngine?package=bnstruct&version=1.0.6" data-mini-rdoc="bnstruct::InferenceEngine">InferenceEngine</a></code>.

the list of cliques of the junction tree contained in the <code><a rd-options="" href="/link/InferenceEngine?package=bnstruct&version=1.0.6" data-mini-rdoc="bnstruct::InferenceEngine">InferenceEngine</a></code>.

value

Add to the InferenceEngine a list containing the cliques of variables composing the 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

jt.cliques&lt;- function

an <code><a rd-options='' href='InferenceEngine'>InferenceEngine</a></code>.

the list of cliques of the junction tree contained in the <code><a rd-options='' href='InferenceEngine'>InferenceEngine</a></code>.

set the list of cliques of the junction tree of an <code><a rd-options='' href='InferenceEngine'>InferenceEngine</a></code>. — jt.cliques&lt;-

set the list of cliques of the junction tree of an <code><a rd-options='' href='InferenceEngine'>InferenceEngine</a></code>.

set the list of cliques of the junction tree of an <code><a rd-options="" href="/link/InferenceEngine?package=bnstruct&version=1.0.6" data-mini-rdoc="bnstruct::InferenceEngine">InferenceEngine</a></code>.

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

Description

Usage

Arguments