BayesNetBP: 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 <doi:10.18637/jss.v094.i03>. 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.

Version: 1.6.1
Depends: R (≥ 3.6.0), stats, utils
Imports: igraph, RColorBrewer, fields, doBy, methods, graph, bnlearn, graphics
Suggests: Rgraphviz, shiny, googleVis, cyjShiny, qtl, qtlnet
Published: 2022-05-08
DOI: 10.32614/CRAN.package.BayesNetBP
Author: Han Yu, Rachael Blair, Janhavi Moharil, Andrew Yan
Maintainer: Han Yu <hyu9 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: BayesNetBP citation info
CRAN checks: BayesNetBP results


Reference manual: BayesNetBP.pdf


Package source: BayesNetBP_1.6.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BayesNetBP_1.6.1.tgz, r-oldrel (arm64): BayesNetBP_1.6.1.tgz, r-release (x86_64): BayesNetBP_1.6.1.tgz, r-oldrel (x86_64): BayesNetBP_1.6.1.tgz
Old sources: BayesNetBP archive


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