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.

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 <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

Documentation:

Reference manual: BayesNetBP.pdf

Downloads:

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

Linking:

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.