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Bayesnetbp: An R package for probabilistic reasoning in Bayesian networks

  • Roswell Park Comprehensive Cancer Center
  • HTG Molecular Diagnostics

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)1-31
Number of pages31
JournalJournal of Statistical Software
Volume94
DOIs
StatePublished - Jun 2020

Keywords

  • Bayesian network
  • Belief propagation
  • Gene networks
  • R
  • Shiny
  • Visualization

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