Our packages are carefully vetted, staff- and community-contributed R software tools that in particular lower barriers to working with local and remote scientific data sources. Browse use cases and read our blog to learn how to use specific packages or contribute to their improvement.
Below are some highlighted categories of packages. If you are not too sure where to look, use the page with all packages. In any case, all packages pages have a search bar. If a tool for your need seems missing, feel free to post on our forum.
Our suite of packages is comprised of contributions from staff engineers and the wider R community via a transparent, constructive and open review process utilising GitHub's open source infrastructure.Find out more
We combine academic peer reviews with production software code reviews to create a transparent, collaborative & more efficient review processView open reviews
Based on best practices of software development and standards of R, its applications and user base.View Documentation