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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>.

Versions across snapshots

VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 ReproStat_0.1.2.tar.gz 139.1 KiB
0.1.2 rolling linux/noble R-4.5 ReproStat_0.1.2.tar.gz 139.1 KiB
0.1.2 rolling source/ R- ReproStat_0.1.2.tar.gz 87.8 KiB
0.1.2 latest linux/jammy R-4.5 ReproStat_0.1.2.tar.gz 139.1 KiB
0.1.2 latest linux/noble R-4.5 ReproStat_0.1.2.tar.gz 139.1 KiB
0.1.2 latest source/ R- ReproStat_0.1.2.tar.gz 87.8 KiB
0.1.2 2026-04-26 source/ R- ReproStat_0.1.2.tar.gz 87.8 KiB
0.1.2 2026-04-23 source/ R- ReproStat_0.1.2.tar.gz 87.8 KiB
0.1.2 2026-04-09 windows/windows R-4.5 ReproStat_0.1.2.zip 149.7 KiB

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