Customizing the {riskassessment} App based on organizational needs simplifies validating R packages in regulated industries like pharma, ensuring efficiency and compliance.
The app, built on {riskmetric}, offers a structured, user-friendly approach that can be customized to specific risk assessment requirements, making package approval easier.
Key factors evaluated by the {riskassessment} App include license availability, bug reporting mechanisms, test coverage, documentation completeness, and community engagement.
The app streamlines the communication between package users and system administrators, providing a structured risk report for informed decision-making.
The validation process using the app involves logging in, reviewing package metrics, checking dependencies, justifying package requests, and submitting requests for approval.
The app allows customization of risk assessment rules, automates decision-making based on predefined criteria, manages roles and privileges, and stores organization-specific settings for consistency.
Features like automated package assessments, decision automation, dependency analysis, built-in commenting, role-based access, and historical tracking make the app stand out in R package validation.
Addressing challenges such as risk scores vs. individual metrics and code coverage limitations, the {riskassessment} App provides a centralized and structured approach to R package validation.
For more information and resources related to the app, including slides, GitHub repository, documentation, and presentation demo app, visit pharma.r.org.
The {riskassessment} App simplifies package risk assessment and decision-making, offering a centralized platform for evaluating R packages and making informed choices.