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 training
gRain: Network inference
visNetwork: Network visualization
pROC: Receiver Operating Characteristic (ROC) curve plot
rmda: 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 :
Separated by a comma.
To change default network, please input 'Stroke_bnfit' (For Stroke Network) or 'Asia_fit,Asia_data' (For Asia Network).
Please input a csv file with 3 column: From, To, Type!