Business Profile
The Journal of Statistical Software provides open-access articles on statistical software, published with the corresponding source code and replication code to support full reproducibility.
{"Practitioners in statistics and data science","Statistics educators/teachers","Researchers in empirical statistics","Software developers and programmers in statistical computing"}
Open-source software and articles are published together with full reproducibility; source code and replication materials accompany each article; articles describe software implementations across multiple languages; content is freely accessible under open licenses; publications use CCAL with GPL-licensed code where applicable.
Content is published and made publicly accessible as part of the journalâs regular publication cycle; organizational transitions (e.g., to new editorial systems) are announced and managed publicly to address issues and improvements.
A scholarly journal publishing open-source statistical software articles with accompanying source code and replication materials, freely accessible under open licenses.
Researchers, educators, and practitioners in statistics and statistical computing who seek open, reproducible software and associated scholarly articles
JSS uniquely combines open-access publication with full reproducibility by pairing articles with their open-source software and replication materials, across multiple programming languages, under permissive licenses.
Code can be in languages including R, Python, Julia, MATLAB, SAS, Stata, Fortran, C, C++, Java, and more; authors should provide tools to run the code; Octave compatibility encouraged for MATLAB-related work
No author fees or subscription fees; supported by foundations and institutional support
Based on matching: problems solved, target roles, key features, industries
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