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.
| Version: |
1.0.14 |
| Depends: |
R (≥ 3.5.0), bitops, igraph, methods |
| Suggests: |
graph, Rgraphviz, qgraph, knitr, testthat |
| Published: |
2022-11-30 |
| 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: |
GraphicalModels, MissingData |
| CRAN checks: |
bnstruct results |
Documentation:
Downloads:
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