wiseR (1.0.1)

0 users

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

https://github.com/SAFE-ICU/wiseR
http://cran.r-project.org/web/packages/wiseR

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.

Maintainer: Tavpritesh Sethi
Author(s): Tavpritesh Sethi [aut, cre], Shubham Maheshwari [aut]

License: GPL-3 | file LICENSE

Uses: arules, bnlearn, DescTools, dplyr, DT, graph, HydeNet, igraph, linkcomm, missRanger, psych, RBGL, rhandsontable, rintrojs, shiny, shinyalert, shinyBS, shinycssloaders, shinydashboard, shinyWidgets, visNetwork, knitr, rmarkdown, rcompanion

Released about 1 year ago.


Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of wiseR yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for wiseR on google, google scholar, r-help, r-devel.

Visit wiseR on R Graphical Manual.