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 | 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: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=bnstruct to link to this page.
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