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wiseR  

A Shiny Application for End-to-End Bayesian Decision Network Analysis and Web-Deployment
View on CRAN: Click here


Download and install wiseR package within the R console
Install from CRAN:
install.packages("wiseR")

Install from Github:
library("remotes")
install_github("cran/wiseR")

Install by package version:
library("remotes")
install_version("wiseR", "1.0.1")



Attach the package and use:
library("wiseR")
Maintained by
Tavpritesh Sethi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-29
Latest Update: 2023-05-18
Description:
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.
How to cite:
Tavpritesh Sethi (2018). wiseR: A Shiny Application for End-to-End Bayesian Decision Network Analysis and Web-Deployment. R package version 1.0.1, https://cran.r-project.org/web/packages/wiseR. Accessed 07 Apr. 2025.
Previous versions and publish date:
1.0.1 (2018-11-29 17:10)
Other packages that cited wiseR R package
View wiseR citation profile
Other R packages that wiseR depends, imports, suggests or enhances
Functions, R codes and Examples using the wiseR R package
Some associated functions: wiser . 
Some associated R codes: wiser.R .  Full wiseR package functions and examples
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