README.md
In bearloga/shinyBN: Interactive Visualization for Bayesian Networks
[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 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).
bearloga/shinyBN documentation built on May 25, 2019, 4:01 a.m.
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[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 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).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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