The {riskassessment} app, presented by Aaron Clark from the R Validation Hub, was voted best Shiny app at shinyConf 2023. Congratulations!
- The Demo app: https://rinpharma.shinyapps.io/risk_assessment/
- GitHub: https://github.com/pharmaR/riskassessment
- User guide: https://pharmar.github.io/riskassessment/
- Get Involved: https://pharmar.org
The 2nd Annual Shiny Conference was held March 15-17, 2023. It was all virtual with over 4k global registrants. Aaron Clark, from the R Validation Hub Executive Committee, presented on the {riskassessment} app.
The app features several key features such as providing a framework to quantify risk via metrics that evaluate package dev best practices, code documentation, community engagement, and sustainability. The app aims to be a platform for quality assessment within organizations that operate in regulated industries but can be leveraged in various contexts.
More Information
The {riskassessment} app extends the functionality of riskmetric by allowing the reviewer to:
- Analyze riskmetric output without the need to write code in R
- Categorize a package with an overall assessment (i.e., low, medium, or high risk) based on subjective opinions or after tabulating user(s) consensus after the evaluating metric output
- Download static reports with the package risk, metrics outputs, review comments, and more
- Store assessments in a database for future viewing and historical backup
- User authentication with admin roles to manage users and metric weighting
Note: Development of both riskassessment and riskmetric was made possible thanks to the R Validation Hub, a collaboration to support the adoption of R within a biopharmaceutical regulatory setting.
For more information, the talk is currently available on Appsilon’s Youtube channel.