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 < http://www.jmlr.org/papers/volume6/cowell05a/>. 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 < https://github.com/cytoscape/cyjShiny>. Please see the example in the documentation of 'runBayesNetApp' function for installing 'cyjShiny' package from GitHub.


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Reference manual

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install.packages("BayesNetBP")

1.5.5 by Han Yu, 4 months ago


Report a bug at https://github.com/hyu-ub/BayesNetBP/issues


Browse source code at https://github.com/cran/BayesNetBP


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


Documentation:   PDF Manual  


GPL (>= 2) license


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

Depends on stats, utils

Suggests Rgraphviz, shiny, googleVis, cyjShiny


See at CRAN