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 <http://www.jmlr.org/papers/volume6/cowell05a/>. 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.

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 buffalo.edu>
BugReports: https://github.com/hyu-ub/BayesNetBP/issues
License: GPL-2
NeedsCompilation: no
CRAN checks: BayesNetBP results

Downloads:

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

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