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Authors: Marco Scutari
Title: [download]
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Learning Bayesian Networks with the bnlearn R Package
Reference: Vol. 35, Issue 3, Jul 2010
Submitted 2009-09-30, Accepted 2010-05-13
Type: Article
Abstract:

bnlearn is an R package (R Development Core Team 2010) which includes several algorithms for learning the structure of Bayesian networks with either discrete or continuous variables. Both constraint-based and score-based algorithms are implemented, and can use the functionality provided by the snow package (Tierney et al. 2008) to improve their performance via parallel computing. Several network scores and conditional independence algorithms are available for both the learning algorithms and independent use. Advanced plotting options are provided by the Rgraphviz package (Gentry et al. 2010).

Paper: [download]
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Learning Bayesian Networks with the bnlearn R Package
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Supplements: [download]
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bnlearn_2.1.1.tar.gz: R source package
(application/x-gzip, 1.2 MB)
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v35i03.R: R example code from the paper
(application/octet-stream, 5.7 KB)
Resources: BibTeX | OAI
Creative Commons License
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.
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