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An overview of the bnlearn R package: learning algorithms, conditional independence tests and network scores.
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bnlearn - Bayesian network structure learning bnlearn - an R package for Bayesian network learning and inference Home Page Documentation Examples Research Notes Small Simulation Studies Bayesian Network Repository About the Author info & code data & R code data & R code Are you using, or planning to use, Bayesian network models in your work? I have more than 10 years of experience in doing that both in academia and in the industry. Feel free to get in touch at consulting@bnlearn.com to discuss your needs and to see how I can help. bnlearn is an R package for learning the graphical structure of Bayesian networks, estimating their parameters and performing probabilistic and causal inference. First released in 2007, it has been under continuous development for more than 10 years (and still going strong). To get started and install the latest development snapshot type install.packages("https:...
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