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repkit: Tools for reproducible coding

Author

Listed:
  • Kristoffer Bjärkefur

    (World Bank)

  • Benjamin Daniels

    (T. H. Chan School of Public Health, Harvard University)

  • Luis Eduardo San Martín

    (World Bank)

  • Ankriti Singh

    (World Bank)

Abstract

Writing Stata code that produces the same results on another user’s machine is an essential component of modern reproducible data analysis work- flows. However, a number of reasons may make it difficult to do so without detailed knowledge of the recipient’s environment. For example, differences be- tween installation of (third-party) community-contributed files may cause failures. Furthermore, even when the environment is not an issue, users may make er- rors regarding random-number generation in the Stata code. These issues can be very challenging to detect from the code output alone. The repkit package provides new tools to automate: the location of root file paths; the configuration of community-contributed command installations; “linting” of the Stata code for readability; and the precise detection of code issues affecting reproducibility.

Suggested Citation

  • Kristoffer Bjärkefur & Benjamin Daniels & Luis Eduardo San Martín & Ankriti Singh, 2025. "repkit: Tools for reproducible coding," Stata Journal, StataCorp LLC, vol. 25(4), pages 699-718, December.
    • Handle: RePEc:tsj:stataj:v:25:y:2025:i:4:p:699-718
    DOI: 10.1177/1536867X251398246
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