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 |
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_1.0.2.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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