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: | 1.4.0 |
Depends: | R (≥ 3.3.0), stats, graphics, utils |
Imports: | Rgraphviz, igraph, RColorBrewer, fields, doBy, qtlnet, methods, qtl, graph, bnlearn |
Suggests: | shiny, googleVis |
Published: | 2018-08-22 |
Author: | Han Yu |
Maintainer: | Han Yu <hyu9 at buffalo.edu> |
BugReports: | https://github.com/hyu-ub/BayesNetBP/issues |
License: | GPL-2 |
URL: | https://github.com/hyu-ub/BayesNetBP |
NeedsCompilation: | no |
CRAN checks: | BayesNetBP results |
Reference manual: | BayesNetBP.pdf |
Package source: | BayesNetBP_1.4.0.tar.gz |
Windows binaries: | r-devel: BayesNetBP_1.4.0.zip, r-release: BayesNetBP_1.4.0.zip, r-oldrel: BayesNetBP_1.4.0.zip |
OS X binaries: | r-release: BayesNetBP_1.4.0.tgz, r-oldrel: BayesNetBP_1.4.0.tgz |
Old sources: | BayesNetBP archive |
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