Journal of Statistical Software

Aims & Scope

The Journal of Statistical Software (JSS) publishes open-source software and corresponding reproducible articles discussing all aspects of the design, implementation, documentation, application, evaluation, comparison, maintainance and distribution of software dedicated to improvement of state-of-the-art in statistical computing in all areas of empirical research.

Open-source code and articles are jointly reviewed and published in this journal and should be accessible to a broad community of practitioners, teachers, and researchers in the field of statistics.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Decision Sciences and Mathematics, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Apc url
• License

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Computer Science, Decision Sciences and Mathematics, ensuring accessibility and quality in research dissemination.

This journal does not charge a mandatory Article Processing Charge (APC). However, optional open access publication may incur fees based on the publisher’s policies.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Fitting Linear Mixed-Effects Models Using<b>lme4</b>

  Citation: 65334

  Authors: Douglas, Martin, Ben, Steve

• <b>lavaan</b>: An<i>R</i>Package for Structural Equation Modeling

  Citation: 19312

  Authors: Yves

• <b>lmerTest</b> Package: Tests in Linear Mixed Effects Models

  Citation: 17082

  Authors: Alexandra, Per B., Rune H. B.

• Conducting Meta-Analyses in<i>R</i>with the<b>metafor</b>Package

  Citation: 13729

  Authors: Wolfgang

• Regularization Paths for Generalized Linear Models via Coordinate Descent

  Citation: 12630

  Authors: Jerome, Trevor, Robert

• <b>mice</b>: Multivariate Imputation by Chained Equations in<i>R</i>

  Citation: 7289

  Authors: Stef van, Karin

• <b>FactoMineR</b>: An<i>R</i>Package for Multivariate Analysis

  Citation: 6962

  Authors: Sébastien, Julie, François

• Building Predictive Models in<i>R</i>Using the<b>caret</b>Package

  Citation: 6949

  Authors: Max

• <b>brms</b>: An <i>R</i> Package for Bayesian Multilevel Models Using <i>Stan</i>

  Citation: 6449

  Authors: Paul-Christian

• <i>Stan</i>: A Probabilistic Programming Language

  Citation: 5078

  Authors: Bob, Andrew, Matthew D., Daniel, Ben, Michael, Marcus, Jiqiang, Peter, Allen