bnstruct: Bayesian Network Structure Learning from Data with MissingValues
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: | 1.0.15 |
| Depends: | R (≥ 3.5.0),bitops,igraph, methods |
| Suggests: | graph,Rgraphviz,qgraph,knitr,testthat |
| Published: | 2024-01-09 |
| DOI: | 10.32614/CRAN.package.bnstruct |
| Author: | Francesco Sambo [aut], Alberto Franzin [aut, cre] |
| Maintainer: | Alberto Franzin <afranzin at ulb.ac.be> |
| License: | GPL-2 |GPL-3 | fileLICENSE [expanded from: GPL (≥ 2) | file LICENSE] |
| NeedsCompilation: | yes |
| Citation: | bnstruct citation info |
| Materials: | README,NEWS |
| In views: | GraphicalModels,MissingData |
| CRAN checks: | bnstruct results |
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