bnstruct

Bayesian Network Structure Learning from Data with Missing Values

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.

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Description file content

Package
bnstruct
Description
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.
Type
Package
Title
Bayesian Network Structure Learning from Data with Missing Values
Version
1.0.6
Date
2019-07-09
Depends
R (>= 3.5.0), bitops, Matrix, igraph, methods
Suggests
graph, Rgraphviz, qgraph, knitr, testthat
License
GPL (>= 2) | file LICENSE
Encoding
UTF-8
RoxygenNote
6.1.1
VignetteBuilder
knitr
NeedsCompilation
yes
Packaged
2019-07-09 08:53:42 UTC; alberto
Author
Francesco Sambo [aut], Alberto Franzin [aut, cre]
Maintainer
Alberto Franzin
Repository
CRAN
Date/Publication
2019-07-09 10:23:07 UTC

install.packages('bnstruct')

1.0.6

9 days ago

Alberto Franzin

GPL (>= 2) | file LICENSE

Depends on

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

Suggests

graph, Rgraphviz, qgraph, knitr, testthat

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