Learning Bayesian Networks with thebnlearnRPackage
Copyright policy )Learning Bayesian Networks with thebnlearnRPackage
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.
22 pages, 4 pictures
- University of Padua Italy
- University of Oxford United Kingdom
FOS: Computer and information sciences, score-based algorithms, Statistics, R, Machine Learning (stat.ML), structure learning algorithms, conditional independence tests, HA1-4737, Statistics - Machine Learning, bayesian networks, constraint-based algorithms
FOS: Computer and information sciences, score-based algorithms, Statistics, R, Machine Learning (stat.ML), structure learning algorithms, conditional independence tests, HA1-4737, Statistics - Machine Learning, bayesian networks, constraint-based algorithms
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