bioLeak: Leakage-Safe Modeling and Auditing for Genomic and Clinical Data
Prevents and detects information leakage in biomedical machine learning.
Provides leakage-resistant split policies (subject-grouped, batch-blocked, study leave-out, time-ordered),
guarded preprocessing (train-only imputation, normalization, filtering, feature selection),
cross-validated fitting with common learners, permutation-gap auditing, batch and fold association tests,
and duplicate detection.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.3) |
| Imports: |
digest, methods, stats, utils, SummarizedExperiment, graphics, hardhat, parsnip |
| Suggests: |
BiocParallel, cli, dials, FNN, future, future.apply, ggplot2, glmnet, mice, missForest, pkgload, ranger, randomForest, recipes, RANN, rsample, tune, VIM, workflows, xgboost, yardstick, pROC, PRROC, survival, knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2026-02-06 |
| DOI: |
10.32614/CRAN.package.bioLeak (may not be active yet) |
| Author: |
Selcuk Korkmaz 
[aut, cre] |
| Maintainer: |
Selcuk Korkmaz <selcukorkmaz at gmail.com> |
| BugReports: |
https://github.com/selcukorkmaz/bioLeak/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/selcukorkmaz/bioLeak |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
bioLeak results |
Documentation:
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