rOpenSci is very excited to announce our first peer-reviewed statistical R packages!

One of rOpenSci’s core programs is software peer-review, where we use best practices from software engineering and academic peer-review to improve scientific software. Through this, we aim to make scientific software more robust, usable, and trustworthy, and build a supportive community of practitioners.

Historically, we have focused on R packages that manage the research data life cycle. Now, thanks to work over the past two years supported by the Sloan Foundation we also facilitate peer-review of packages that implement statistical algorithms. The first statistical packages to pass peer review are:

• community
• Software Peer Review
• editor
• statistics

We released two new packages that we are using in R-universe to render package documentation: postdoc and prismjs

• r-universe
• tech notes
• documentation
• syntax highlighting
• postdoc

This is the first post of our interview series “Meeting the stars of the R-universe”. We begin our journey in Argentina with a team that uses R and develops R packages in the Argentinean State.

• community
• r-universe
• interviews
• r-universe-stars

Multilingual publishing (Spanish!), champions program, coworking, Twitter alternatives, new packages and package news

• newsletter

We announce our actions on rOpenSci’s communication channels as alternatives to Twitter.

• community