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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 |
| 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) |
| 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 |
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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.