In JiajinChen/shinyBN: A web application for interactively construct, visualization and inference with Bayesian Network
shinyBN is an R/Shiny application for interactive inference and visualization of Bayesian network.
It's based on five R packages:
bnlearn: Structure learning and parameter traininggRain: Network inferencevisNetwork: Network visualizationpROC: Receiver Operating Characteristic (ROC) curve plotrmda: Decision Curves Analysis (DCA) plot
Which is further wrapped by R/Shiny. It's friendly to users and can easily use through the following workflow :
JiajinChen/shinyBN documentation built on Sept. 6, 2022, 2:47 p.m.
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.
shinyBN is an R/Shiny application for interactive inference and visualization of Bayesian network.
It's based on five R packages:
bnlearn: Structure learning and parameter traininggRain: Network inferencevisNetwork: Network visualizationpROC: Receiver Operating Characteristic (ROC) curve plotrmda: Decision Curves Analysis (DCA) plot
Which is further wrapped by R/Shiny. It's friendly to users and can easily use through the following workflow :
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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