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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:

Reference manual: statwitness.html , statwitness.pdf
Vignettes: Introduction to statwitness (source, R code)

Downloads:

Package source: statwitness_0.1.0.tar.gz
Windows binaries: r-devel: statwitness_0.1.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): statwitness_0.1.0.tgz, r-oldrel (arm64): statwitness_0.1.0.tgz, r-release (x86_64): statwitness_0.1.0.tgz, r-oldrel (x86_64): statwitness_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=statwitness to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.