Learning Bayesian Networks with the bnlearn RPackage (Q5705874): Difference between revisions

In this paper, the bnlearn package for R is introduced. It offers multiple algorithms for learning the structure of Bayesian networks with discrete or continuous variables. It supports both constraint-based and score-based methods, leveraging the snow package for parallel computing to enhance performance. A variety of network scores and conditional independence tests are available for use within the learning algorithms or independently. Additionally, advanced plotting capabilities are provided through the Rgraphviz package.