Bayesian Network Belief Propagation

Belief propagation methods in Bayesian Networks to propagate evidence through the network. The implementation of these methods are based on the article: Cowell, RG (2005). Local Propagation in Conditional Gaussian Bayesian Networks <>. For details please see Yu et. al. (2020) BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks . The optional 'cyjShiny' package for running the Shiny app is available at <>. Please see the example in the documentation of 'runBayesNetApp' function for installing 'cyjShiny' package from GitHub.


Reference manual

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1.5.9 by Han Yu, 6 months ago

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Authors: Han Yu , Rachael Blair , Janhavi Moharil , Andrew Yan

Documentation:   PDF Manual  

GPL (>= 2) license

Imports igraph, RColorBrewer, fields, doBy, methods, graph, bnlearn, graphics

Depends on stats, utils

Suggests Rgraphviz, shiny, googleVis, cyjShiny, qtl, qtlnet

See at CRAN