Reproducibility and accountability are not checkboxes. They are the foundation of trustworthy science, defensible regulatory submissions, and research that holds up under scrutiny — months, years, or decades later.
We build open-source R tooling that makes reproducibility and auditability automatic, verifiable, and actionable — for academic, clinical, and pharmaceutical settings alike.
| Description | Status | CRAN | |
|---|---|---|---|
| reproducr | Behavioural reproducibility auditing — scan scripts, certify outputs, detect drift |  |
|
| regulog | Tamper-evident, hash-chained audit logging for R applications |  |
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We welcome contributions of all kinds — new packages, bug reports, or documentation improvements. See the individual package repositories for contribution guidelines.
If your analysis is worth running, it is worth running reproducibly.