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Abstract: bnlearn is an R package which includes several algorithms for learning thestructure of Bayesian networks with either discrete or continuous variables.Both constraint-based and score-based algorithms are implemented, and can usethe functionality provided by the snow package to improve their performance viaparallel computing. Several network scores and conditional independencealgorithms are available for both the learning algorithms and independent use.Advanced plotting options are provided by the Rgraphviz package.



Autor: Marco Scutari

Fuente: https://arxiv.org/







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