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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-release (arm64): BayesNetBP_1.6.1.tgz, r-oldrel (arm64): 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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