This is the source repository for rOpenSci's Statistical Software Peer Review book, which can be viewed at https://ropensci.github.io/statistical-software-review-book. This book is an extension of rOpenSci Packages: Development, Maintenance, and Peer Review book, documenting our guidelines and procedures 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.
For this project we are lucky to have support of a great editorial committee, the members of which guide the editorial process, help with outreach to statistical communities, vet community input, and prioritize future development. The editorial committee members are:
- 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, Lieber Institute for Brain Development, USA
- Toby Hocking, Northern Arizona University, USA
This work is supported by the Sloan Foundation and is organized under an R Consortium Working Group.
The structure of this book was derived from rOpenSci's Blog Guidelines for Authors and Editors by Stefanie Butland and Maëlle Salmon, itself started using Sean Kross's minimal bookdown example.
All of the content of this repository is licensed CC0-1.0.
All contributions to this project are gratefully acknowledged using the allcontributors package following the allcontributors specification. Contributions of any kind are welcome!
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