Package: BayesNetBP
Type: Package
Title: Bayesian Network Belief Propagation
Version: 1.6.2
Date: 2025-05-31
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: 2026-10-16 09:06:50 UTC; root
Config/pak/sysreqs: libglpk-dev libicu-dev libxml2-dev
Repository: https://hyu-ub.r-universe.dev
Date/Publication: 2025-06-02 22:30:12 UTC
RemoteUrl: https://github.com/hyu-ub/bayesnetbp
RemoteRef: HEAD
RemoteSha: 40bf771539ee001ac99fa16badd7ccf23cd9f3c8
RemoteSubdir: BayesNetBP