The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
Please use the canonical form https://CRAN.R-project.org/package=BayesNetBP to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.