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: | 1.0.2 |
| Depends: | R (≥ 2.10), bitops, Matrix, igraph, methods |
| Suggests: | graph, Rgraphviz, knitr, testthat |
| Published: | 2016-12-13 |
| Author: | Francesco Sambo [aut, cre], Alberto Franzin [aut] |
| Maintainer: | Francesco Sambo <francesco.sambo at unipd.it> |
| License: | GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE] |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | bnstruct results |
| Reference manual: | bnstruct.pdf |
| Vignettes: |
\texttt{bnstruct}: an R package for Bayesian Network Structure Learning |
| Package source: | bnstruct_1.0.2.tar.gz |
| Windows binaries: | r-devel: bnstruct_1.0.2.zip, r-release: bnstruct_1.0.2.zip, r-oldrel: bnstruct_1.0.2.zip |
| OS X El Capitan binaries: | r-release: bnstruct_1.0.2.tgz |
| OS X Mavericks binaries: | r-oldrel: bnstruct_1.0.2.tgz |
| Old sources: | bnstruct archive |
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