repkit: Tools for reproducible coding

Writing Stata code that produces the same results on another user’s machine is an essential component of modern reproducible data analysis workflows. However, a number of reasons may make it difficult to do so without detailed knowledge of the recipient’s environment. For example, differences between installation of (third-party) community-contributed files may cause failures. Furthermore, even when the environment is not an issue, users may make errors 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.

Authors

Institutions

Publication Details

Journal
The Stata Journal Promoting communications on statistics and Stata
Published
2025-12-01
DOI
https://doi.org/10.1177/1536867x251398246
Primary Topic
Probability and Statistical Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

repkit: Tools for reproducible coding

Laura Martín, Benjamin Daniels, Kristoffer Bjärkefur, Awadhesh N. Singh
The Stata Journal Promoting communications on statistics and Stata
Probability and Statistical Research
article

repkit: Tools for reproducible coding

Laura Martín, Benjamin Daniels, Kristoffer Bjärkefur, Awadhesh N. Singh
article en

Abstract

Writing Stata code that produces the same results on another user’s machine is an essential component of modern reproducible data analysis workflows. However, a number of reasons may make it difficult to do so without detailed knowledge of the recipient’s environment. For example, differences between installation of (third-party) community-contributed files may cause failures. Furthermore, even when the environment is not an issue, users may make errors 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.

The Stata Journal Promoting communications on statistics and StataVol. 25(4)
Harvard University (US), World Bank Group (US)
Openalex Percentile: Top 65%
Probability and Statistical Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.