Reproducibility Diagnostics for Statistical Modeling R package ReproStat version 0.1.2 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>. Software Imports: stats, graphics Suggests: testthat (>= 3.0.0), knitr, rmarkdown, MASS (>= 7.3), glmnet (>= 4.0), ggplot2 (>= 3.0) Gideon Nti Boateng <gidiboateng200@gmail.com> Comprehensive R Archive Network (CRAN) Gideon Nti Boateng [aut, cre] GPL (>= 3) 2026-03-30 application/tgz https://CRAN.R-project.org/package=ReproStat doi:10.32614/CRAN.package.ReproStat