Learning Bayesian Networks with the bnlearn R Package

Details Learning Bayesian Networks with the bnlearn R Package Learning Bayesian Networks with the bnlearn R Package

2009-08-26

arxiv.org/abs/0908.3817v2

Journal of Statistical Software (2010), 35(3), 1-22

Statistics

Machine Learning

22 pages, 4 pictures

Scientific paper

bnlearn is an R package 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 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.

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