https://github.com/bearloga/shinybn
[WIP] Interactive Bayesian Networks with Shiny
https://github.com/bearloga/shinybn
Last synced: about 1 year ago
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[WIP] Interactive Bayesian Networks with Shiny
- Host: GitHub
- URL: https://github.com/bearloga/shinybn
- Owner: bearloga
- License: gpl-3.0
- Created: 2019-01-20T03:46:33.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-01-23T03:42:51.000Z (over 7 years ago)
- Last Synced: 2025-02-17T11:25:59.825Z (over 1 year ago)
- Language: R
- Homepage:
- Size: 84 KB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# \[WIP\] Interactive Bayesian Networks with ShinyBN
The primary function `launch_shinyBN` is used to launch a Shiny app to make it easy to work with a `bn.fit` object from the [bnlearn](http://www.bnlearn.com/) package.
Initially, all the variables (nodes) are unobserved. However, the user can set some (or all) of the nodes to specific values. When only a subset of the variables are observed, that is *evidence*. The plots for unobserved nodes are updated from the evidence propagating throughout the network.
## Licensing
The **shinyBN** R package and interface are open source licensed under the GNU Public License, version 3 (GPLv3).