Package: r.blip
Title: Bayesian Network Learning Improved Project
Version: 1.1
Authors@R: person("Mauro", "Scanagatta", email = "mauro@idsia.ch", role = c("aut", "cre"))
Description: Allows the user to learn Bayesian networks from datasets containing thousands of variables. It focuses on score-based learning, mainly the 'BIC' and the 'BDeu' score functions. It provides state-of-the-art algorithms for the following tasks: (1) parent set identification - Mauro Scanagatta (2015) <http://papers.nips.cc/paper/5803-learning-bayesian-networks-with-thousands-of-variables>; (2) general structure optimization - Mauro Scanagatta (2018) <doi:10.1007/s10994-018-5701-9>, Mauro Scanagatta (2018) <http://proceedings.mlr.press/v73/scanagatta17a.html>; (3) bounded treewidth structure optimization - Mauro Scanagatta (2016) <http://papers.nips.cc/paper/6232-learning-treewidth-bounded-bayesian-networks-with-thousands-of-variables>; (4) structure learning on incomplete data sets - Mauro Scanagatta (2018) <doi:10.1016/j.ijar.2018.02.004>. Distributed under the LGPL-3 by IDSIA.
Depends: R (>= 3.0.0)
Imports: foreign, bnlearn (>= 4.0)
SystemRequirements: Java (>= 1.5)
License: LGPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-02-19 13:03:35 UTC; loskana
Author: Mauro Scanagatta [aut, cre]
Maintainer: Mauro Scanagatta <mauro@idsia.ch>
Repository: CRAN
Date/Publication: 2019-02-27 19:20:21 UTC
Built: R 4.5.1; ; 2025-10-06 01:29:01 UTC; windows
