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.
Version: | 1.0.11 |
Depends: | R (≥ 3.5.0), bitops, igraph, methods |
Suggests: | graph, Rgraphviz, qgraph, knitr, testthat |
Published: | 2021-05-19 |
Author: | Francesco Sambo [aut], Alberto Franzin [aut, cre] |
Maintainer: | Alberto Franzin <afranzin at ulb.ac.be> |
License: | GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE] |
NeedsCompilation: | yes |
Citation: | bnstruct citation info |
Materials: | README NEWS |
In views: | gR |
CRAN checks: | bnstruct results |
Reference manual: | bnstruct.pdf |
Vignettes: |
\texttt{bnstruct}: an R package for Bayesian Network Structure Learning |
Package source: | bnstruct_1.0.11.tar.gz |
Windows binaries: | r-devel: bnstruct_1.0.11.zip, r-devel-UCRT: bnstruct_1.0.11.zip, r-release: bnstruct_1.0.11.zip, r-oldrel: bnstruct_1.0.11.zip |
macOS binaries: | r-release (arm64): bnstruct_1.0.11.tgz, r-release (x86_64): bnstruct_1.0.11.tgz, r-oldrel: bnstruct_1.0.11.tgz |
Old sources: | bnstruct archive |
Reverse imports: | NIMAA, TGS |
Reverse suggests: | BoltzMM |
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