Package: BayesNetBP
Type: Package
Title: Bayesian Network Belief Propagation
Version: 1.6.1
Date: 2022-05-08
Author: Han Yu, Rachael Blair, Janhavi Moharil, Andrew Yan
Maintainer: Han Yu <hyu9@buffalo.edu>
Depends: R (>= 3.6.0), stats, utils
Imports: igraph, RColorBrewer, fields, doBy, methods, graph, bnlearn,
        graphics
Suggests: Rgraphviz, shiny, googleVis, cyjShiny, qtl, qtlnet
BugReports: https://github.com/hyu-ub/BayesNetBP/issues
LazyData: true
Description: 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. 
License: GPL (>= 2)
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2022-05-08 16:38:42 UTC; yuhan
Repository: CRAN
Date/Publication: 2022-05-08 17:40:02 UTC
Built: R 4.6.0; ; 2026-04-30 22:21:51 UTC; unix
