Welcome to rOpenSci’s system for peer-review of statistical software in R packages and beyond. This system extends our existing system for software peer review, through expanding the scope to include explicitly statistical software. As such, it is a direct extension of rOpenSci Packages: Development, Maintenance, and Peer Review. This book provides guidelines for authors on how to develop statistical software, and for editors and reviewers on our processes for peer review of statistical software.
You are invited to contribute to this project by filing suggestions as issues in the book’s GitHub repository. We also have a dedicated area for discussion on the rOpenSci forum. Feedback on standards is particularly welcome.
For this project we are lucky to have support of a great advisory and editorial committee. The committee has helped us along with way with outreach to statistical communities, vetting community input and prioritizing our work.
- Ben Bolker (@bolkerb) McMaster University, Canada
- Rebecca Killick, Lancaster University, UK
- Stephanie Hicks (@stephaniehicks), Johns Hopkins University, USA
- Paula Moraga, King Abdullah University of Science and Technology, Saudi Arabia
- Leonardo Collado-Torres (@lcolladotor), Lieber Institute for Brain Development, USA
- Toby Hocking, Northern Arizona University, USA
We are also grateful to former members of our advisory board: