A Shiny Application for End-to-End Bayesian Decision Network Analysis and Web-Deployment

A Shiny application for learning Bayesian Decision Networks from data. This package can be used for probabilistic reasoning (in the observational setting), causal inference (in the presence of interventions) and learning policy decisions (in Decision Network setting). Functionalities include end-to-end implementations for data-preprocessing, structure-learning, exact inference, approximate inference, extending the learned structure to Decision Networks and policy optimization using statistically rigorous methods such as bootstraps, resampling, ensemble-averaging and cross-validation. In addition to Bayesian Decision Networks, it also features correlation networks, community-detection, graph visualizations, graph exports and web-deployment of the learned models as Shiny dashboards.


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install.packages("wiseR")

1.0.1 by Tavpritesh Sethi, 2 months ago


https://github.com/SAFE-ICU/wiseR


Report a bug at https://github.com/SAFE-ICU/wiseR/issues


Browse source code at https://github.com/cran/wiseR


Authors: Tavpritesh Sethi [aut, cre] , Shubham Maheshwari [aut]


Documentation:   PDF Manual  


GPL-3 | file LICENSE license


Imports Rgraphviz, RBGL, graph, bnlearn, HydeNet, rhandsontable, shiny, shinydashboard, dplyr, visNetwork, shinyWidgets, missRanger, tools, shinyalert, shinycssloaders, rintrojs, arules, psych, DescTools, DT, linkcomm, igraph, parallel, shinyBS

Suggests knitr, rmarkdown, rcompanion


See at CRAN