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ReproStat  

Reproducibility Diagnostics for Statistical Modeling
View on CRAN: Click here


Download and install ReproStat package within the R console
Install from CRAN:
install.packages("ReproStat")

Install from Github:
library("remotes")
install_github("cran/ReproStat")

Install by package version:
library("remotes")
install_version("ReproStat", "0.1.2")



Attach the package and use:
library("ReproStat")
Maintained by
Gideon Nti Boateng
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-30
Latest Update: 2026-03-30
Description:
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>.
How to cite:
Gideon Nti Boateng (2026). ReproStat: Reproducibility Diagnostics for Statistical Modeling. R package version 0.1.2, https://cran.r-project.org/web/packages/ReproStat. Accessed 28 Jul. 2026.
Previous versions and publish date:
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Complete documentation for ReproStat
Functions, R codes and Examples using the ReproStat R package
Full ReproStat package functions and examples
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