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ReproStat: Reproducibility Diagnostics for Statistical Modeling

Tools for diagnosing the reproducibility of statistical model outputs under data perturbations. Implements bootstrap, subsampling, and noise-based perturbation schemes and computes coefficient stability, p-value stability, selection stability, prediction stability, and a composite reproducibility index on a 0 to 100 scale. Includes cross-validation ranking stability for model comparison and visualization utilities. Optional 'backends' support robust M-estimation ('MASS') and penalized regression ('glmnet'). Bootstrap perturbation follows 'Efron' and 'Tibshirani' (1993, ISBN:9780412042317); selection stability follows 'Meinshausen' and 'Buhlmann' (2010) <doi:10.1111/j.1467-9868.2010.00740.x>; reproducibility framework follows 'Peng' (2011) <doi:10.1126/science.1213847>.

Version: 0.1.2
Imports: stats, graphics
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, MASS (≥ 7.3), glmnet (≥ 4.0), ggplot2 (≥ 3.0)
Published: 2026-03-30
DOI: 10.32614/CRAN.package.ReproStat
Author: Gideon Nti Boateng [aut, cre]
Maintainer: Gideon Nti Boateng <gidiboateng200 at gmail.com>
BugReports: https://github.com/ntiGideon/ReproStat/issues
License: GPL (≥ 3)
URL: https://ntigideon.github.io/ReproStat/, https://github.com/ntiGideon/ReproStat
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: ReproStat results

Documentation:

Reference manual: ReproStat.html , ReproStat.pdf
Vignettes: Introduction to ReproStat (source, R code)
Backend Guide (source, R code)
Interpreting ReproStat Outputs (source, R code)
Workflow Patterns (source, R code)

Downloads:

Package source: ReproStat_0.1.2.tar.gz
Windows binaries: r-devel: ReproStat_0.1.2.zip, r-release: ReproStat_0.1.2.zip, r-oldrel: not available
macOS binaries: r-release (arm64): ReproStat_0.1.2.tgz, r-oldrel (arm64): not available, r-release (x86_64): ReproStat_0.1.2.tgz, r-oldrel (x86_64): ReproStat_0.1.2.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ReproStat 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.