Crandore Hub

r.blip

Bayesian Network Learning Improved Project

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.

Versions across snapshots

VersionRepositoryFileSize
1.1 rolling linux/jammy R-4.5 r.blip_1.1.tar.gz 991.5 KiB
1.1 rolling linux/noble R-4.5 r.blip_1.1.tar.gz 991.7 KiB
1.1 rolling source/ R- r.blip_1.1.tar.gz 1.3 MiB
1.1 latest linux/jammy R-4.5 r.blip_1.1.tar.gz 991.5 KiB
1.1 latest linux/noble R-4.5 r.blip_1.1.tar.gz 991.7 KiB
1.1 latest source/ R- r.blip_1.1.tar.gz 1.3 MiB
1.1 2026-04-26 source/ R- r.blip_1.1.tar.gz 1.3 MiB
1.1 2026-04-23 source/ R- r.blip_1.1.tar.gz 1.3 MiB
1.1 2026-04-09 windows/windows R-4.5 r.blip_1.1.zip 995.5 KiB
1.1 2025-04-20 source/ R- r.blip_1.1.tar.gz 1.3 MiB

Dependencies (latest)

Imports