A peer-reviewed publication dedicated to the dissemination of knowledge pertaining to statistical computing. It features articles documenting the development, functionality, and use of statistical software. These articles are typically accompanied by the actual software, enhancing reproducibility and practical application of the described methods. Examples include packages for R, Python, and other computational environments used in statistical analysis.
This type of publication serves as a crucial resource for researchers, practitioners, and educators in statistics and related fields. It facilitates the sharing of innovative tools and techniques, promoting advancements in statistical methodology and data analysis. Historically, such resources have played a vital role in standardizing practices and fostering collaboration within the statistical community.