audit-reproducibility

To verify numeric claims in a research manuscript, you can cross-check the manuscript text against analysis outputs. This automated process reports PASS or FAIL based on defined tolerance thresholds to ensure numeric accuracy.

Manuscript reproducibility checking is the automated cross-validation of numeric results against analysis outputs. You need it before manuscript submission to reduce errors and ensure that all reported numbers match your computational outputs.

Yes, reproducibility checking works with R, Stata, and Python analysis outputs. You provide the manuscript file and the outputs directory, and the tool cross-checks the numeric claims against the generated results.

To run a pre-submission numeric cross-check, provide the path to your manuscript and the outputs directory. The tool automatically verifies numeric claims and reports PASS or FAIL based on established tolerance thresholds.

Automated numeric claim verification requires analysis outputs from R, Stata, or Python and a manuscript file. It validates numbers strictly based on tolerance thresholds, meaning any missing analysis outputs or unformatted numeric claims will prevent successful verification.

The best way to prepare a replication package for numeric validation is to ensure your R, Stata, or Python analysis outputs are fully generated and accessible. The validation tool then cross-checks manuscript claims against these outputs.