Pedro Silva: Convincing IT that R packages are safe
R packages are essential tools for data science, but how reliable are they? This talk will explore methods for evaluating the quality and potential risks associated with R packages, focusing on key factors like community engagement, development activity, documentation standards, and code quality. We’ll discuss the toolset used as the standard at Jumping Rivers for validating packages with clients, offering advanced scoring methods, customizable risk thresholds, and the ability to incorporate data from external sources to deliver a more comprehensive assessment of package risks.
This week's Shiny in Production video is from our very own Pedro Silva, in which he goes through methods for evaluating the quality and potential risks associated with R packages.
Check the link in the comments for this year's Shiny in Production Conference!
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