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 |
| 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 |