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 <>.

Version: 1.3.0
Depends: R (≥ 3.3.0), stats, graphics, utils
Imports: Rgraphviz, gRbase, igraph, RColorBrewer, fields, doBy, qtlnet, methods, qtl, graph, bnlearn
Suggests: shiny, googleVis
Published: 2018-02-16
Author: Han Yu
Maintainer: Han Yu <hyu9 at>
License: GPL-2
NeedsCompilation: no
CRAN checks: BayesNetBP results


Reference manual: BayesNetBP.pdf
Package source: BayesNetBP_1.3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: BayesNetBP_1.3.0.tgz
OS X Mavericks binaries: r-oldrel: BayesNetBP_1.2.1.tgz
Old sources: BayesNetBP archive


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