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/>.

Version: 1.2.1
Depends: R (≥ 3.3.1), stats, graphics, utils
Imports: Rgraphviz, gRbase, igraph, RColorBrewer, fields, doBy, qtlnet, methods, qtl, graph
Suggests: shiny, googleVis
Published: 2017-06-06
Author: Han Yu
Maintainer: Han Yu <hyu9 at buffalo.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: BayesNetBP results

Downloads:

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

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