Model-Aware Validation and Audit Certificates for Statistical Analyses
Overview
Provides model-aware behavioral validation and audit certificates for statistical analyses. Controlled transformations and model-specific diagnostic checks are organized across five domains: computational integrity, numerical stability, design adequacy, assumption screening, and influence stability. Supported workflows include linear models, generalized linear models, classical and repeated-measures analyses of variance, mixed-effects models fitted using 'lme4' or 'glmmTMB', and survival models fitted using 'survival'. Checks are selected according to registered applicability conditions for each model class. The resulting certificates describe computational behavior and selected diagnostic findings; they do not establish causal validity, model correctness, or scientific appropriateness.
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK7 OK2026-07-22
Documentation
- Help pages
- 5includes a package overview page
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 25%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
6 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/george33cy/statwitness on 2026-10-22.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Dependencies
Installing statwitness adds 3 packages (1 with compiled code, 1.5 MB of source tarballs). Heaviest: rbibutils 1.1 MB, Rdpack 370 KB, reformulas 83 KB.
Code & Tests
People & History
- 0.1.0Latest2026-07-21 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-21
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 46 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("statwitness")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.