Bayesian Network Belief Propagation R package BayesNetBP version 1.6.1 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. Software Depends: R (>= 3.6.0), stats, utils Imports: igraph, RColorBrewer, fields, doBy, methods, graph, bnlearn, graphics Suggests: Rgraphviz, shiny, googleVis, cyjShiny, qtl, qtlnet Han Yu <hyu9@buffalo.edu> Comprehensive R Archive Network (CRAN) Han Yu, Rachael Blair, Janhavi Moharil, Andrew Yan GPL (>= 2) 2022-05-08 application/tgz https://CRAN.R-project.org/package=BayesNetBP doi:10.32614/CRAN.package.BayesNetBP