bn<-

bn<-,InferenceEngine-method

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

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

value


Add an original network to an InferenceEngine.


bn&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

bn&lt;- function

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

bn<-: set the original `BN` object contained in an `InferenceEngine`.

Description

Usage

Arguments