statwitness: Model-Aware Validation and Audit Certificates for Statistical
Analyses
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.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
graphics, reformulas, stats, tools |
| Suggests: |
afex, glmmTMB, knitr, lme4, rmarkdown, survival, testthat (≥
3.0.0) |
| Published: |
2026-07-21 |
| DOI: |
10.32614/CRAN.package.statwitness (may not be active yet) |
| Author: |
Georgios P. Georgiou [aut, cre] |
| Maintainer: |
Georgios P. Georgiou <georgiou.georg at unic.ac.cy> |
| BugReports: |
https://github.com/George33cy/statwitness/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/George33cy/statwitness |
| NeedsCompilation: |
no |
| Citation: |
statwitness citation info |
| Materials: |
README |
| CRAN checks: |
statwitness results |
Documentation:
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