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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=BayesNetBP to link to this page.
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