repkit: Tools for reproducible coding

Kristoffer Bjärkefur (), Benjamin Daniels, Luis Eduardo San Martín () and Ankriti Singh ()
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Kristoffer Bjärkefur: World Bank
Luis Eduardo San Martín: World Bank
Ankriti Singh: World Bank

Stata Journal, 2025, vol. 25, issue 4, 699-718

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.

Keywords: repkit; reproot; repado; reprun; lint; linter; ado-files; root paths; directory paths; reproducibility (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1177/1536867X251398246

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