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ReproStat

Reproducibility Diagnostics for Statistical Modeling

v0.1.2 · Mar 30, 2026 · GPL (>= 3)

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>.

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CRAN Check Status

12 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 31, 2026

Version History

new 0.1.2 Mar 30, 2026