BayesNetBP
Bayesian Network Belief Propagation
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.
- Version1.6.1
- R version≥ 3.6.0 stats
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- BayesNetBP citation info
- Last release05/08/2022
Team
Han Yu
Rachael Blair
Show author detailsRolesAuthorJanhavi Moharil
Show author detailsRolesAuthorAndrew Yan
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 301 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 3,919 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 24, 2024 with 40 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports5 packages
- Suggests5 packages