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 <https://www.jmlr.org/papers/v6/cowell05a.html>. For details please see Yu et. al. (2020) BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks <doi:10.18637/jss.v094.i03>. 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: | 1.6.1 |
Depends: | R (≥ 3.6.0), stats, utils |
Imports: | igraph, RColorBrewer, fields, doBy, methods, graph, bnlearn, graphics |
Suggests: | Rgraphviz, shiny, googleVis, cyjShiny, qtl, qtlnet |
Published: | 2022-05-08 |
DOI: | 10.32614/CRAN.package.BayesNetBP |
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 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Citation: | BayesNetBP citation info |
CRAN checks: | BayesNetBP results |
Reference manual: | BayesNetBP.pdf |
Package source: | BayesNetBP_1.6.1.tar.gz |
Windows binaries: | r-devel: BayesNetBP_1.6.1.zip, r-release: BayesNetBP_1.6.1.zip, r-oldrel: BayesNetBP_1.6.1.zip |
macOS binaries: | r-devel (arm64): BayesNetBP_1.6.1.tgz, r-release (arm64): BayesNetBP_1.6.1.tgz, r-oldrel (arm64): BayesNetBP_1.6.1.tgz, r-devel (x86_64): BayesNetBP_1.6.1.tgz, r-release (x86_64): BayesNetBP_1.6.1.tgz, r-oldrel (x86_64): BayesNetBP_1.6.1.tgz |
Old sources: | BayesNetBP archive |
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