BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks

• Main Authors: Han Yu, Janhavi Moharil, Rachael Hageman Blair
• Format: Article
• Language: English
• Published: Foundation for Open Access Statistics 2020-06-01
• Series: Journal of Statistical Software
• Subjects: bayesian network; belief propagation; r; shiny; gene networks; visualization
• Online Access: https://www.jstatsoft.org/index.php/jss/article/view/3128

The BayesNetBP package has been developed for probabilistic reasoning and visualization in Bayesian networks with nodes that are purely discrete, continuous or mixed (discrete and continuous). Probabilistic reasoning enables a user to absorb information into a Bayesian network and make queries about how the probabilities within the network change in light of new information. The package was developed in the R programming language and is freely available from the Comprehensive R Archive Network. A shiny app with Cytoscape widgets provides an interactive interface for evidence absorption, queries, and visualizations.