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.
Bayesian Network Structure Learning from Data with Missing
Values
R (>= 2.10), bitops, Matrix, igraph, methods
c(person("Francesco", "Sambo", role=c("aut","cre"), email="francesco.sambo@unipd.it"),
person("Alberto", "Franzin", role=c("aut"), email="afranzin@ulb.ac.be"))
Francesco Sambo [aut, cre],
Alberto Franzin [aut]

graph, Rgraphviz, qgraph, knitr, testthat
c(person("Francesco", "Sambo", role=c("aut"),
email="magodellepercussioni@gmail.com"), person("Alberto", "Franzin", role=c("aut","cre"),
email="afranzin@ulb.ac.be"))
Francesco Sambo [aut],
Alberto Franzin [aut, cre]

c(person("Francesco", "Sambo", role=c("aut"),
email="francesco.sambo@unipd.it"), person("Alberto", "Franzin", role=c("aut","cre"),
email="afranzin@ulb.ac.be"))

R (>= 3.5.0), bitops, Matrix, igraph, methods

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.
c(person("Francesco", "Sambo", role=c("aut","cre"), email="francesco.sambo@dei.unipd.it"),
person("Alberto", "Franzin", role=c("aut"), email="afranzin@ulb.ac.be"))

Interactive Visualization of Bayesian Networks
Interactive visualization of Bayesian Networks.
The 'bnviewer' package reads various structure learning algorithms provided by the
'bnlearn' package and allows you to view them interactively.
visNetwork (>= 2.0.4), bnlearn (>= 4.3), methods, igraph (>=
1.2.1)