Learning Bayesian Networks with the bnlearn R Package

Marco Scutari

Journal of Statistical Software, 2010, vol. 035, issue i03

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).

Date: 2010-07-16
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Citations: View citations in EconPapers (89)

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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:035:i03

DOI: 10.18637/jss.v035.i03

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