The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
| Version: | 1.1 |
| Depends: | R (≥ 3.0.0) |
| Imports: | foreign, bnlearn (≥ 4.0) |
| Published: | 2019-02-27 |
| Author: | Mauro Scanagatta [aut, cre] |
| Maintainer: | Mauro Scanagatta <mauro at idsia.ch> |
| License: | LGPL-3 |
| NeedsCompilation: | no |
| SystemRequirements: | Java (>= 1.5) |
| Materials: | README INSTALL |
| CRAN checks: | r.blip results |
| Reference manual: | r.blip.pdf |
| Package source: | r.blip_1.1.tar.gz |
| Windows binaries: | r-devel: r.blip_1.1.zip, r-release: r.blip_1.1.zip, r-oldrel: r.blip_1.1.zip |
| macOS binaries: | r-release (arm64): r.blip_1.1.tgz, r-oldrel (arm64): r.blip_1.1.tgz, r-release (x86_64): r.blip_1.1.tgz, r-oldrel (x86_64): r.blip_1.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=r.blip to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.