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 <>. 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: 1.5.2
Depends: R (≥ 3.6.0), stats, utils
Imports: igraph, RColorBrewer, fields, doBy, methods, qtl, graph, bnlearn, graphics, qtlnet
Suggests: Rgraphviz, shiny, googleVis, cyjShiny
Published: 2020-04-14
Author: Han Yu, Rachael Blair, Janhavi Moharil, Andrew Yan
Maintainer: Han Yu <hyu9 at>
License: GPL-2
NeedsCompilation: no
CRAN checks: BayesNetBP results


Reference manual: BayesNetBP.pdf
Package source: BayesNetBP_1.5.2.tar.gz
Windows binaries: r-prerelease:, r-release:, r-oldrel:
macOS binaries: r-prerelease: BayesNetBP_1.5.2.tgz, r-release: BayesNetBP_1.5.2.tgz, r-oldrel: BayesNetBP_1.4.0.tgz
Old sources: BayesNetBP archive


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