Leakage-Safe Modeling and Auditing for Genomic and Clinical Data R package bioLeak version 0.3.8 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. Software Depends: R (>= 4.3) Imports: digest, generics, methods, stats, utils, SummarizedExperiment, graphics, hardhat, parsnip Suggests: BiocParallel, splitGraph, cli, dials, FNN, future, future.apply, ggplot2, glmnet, mice, missForest, pkgload, ranger, randomForest, recipes, RANN, rsample, tune, VIM, withr, workflows, xgboost, yardstick, pROC, PRROC, survival, knitr, rmarkdown, testthat (>= 3.0.0) Selcuk Korkmaz <selcukorkmaz@gmail.com> Comprehensive R Archive Network (CRAN) Selcuk Korkmaz [aut, cre] (ORCID: <https://orcid.org/0000-0003-4632-6850>) MIT + file LICENSE (https://CRAN.R-project.org/package=bioLeak/LICENSE) 2026-05-21 application/tgz https://CRAN.R-project.org/package=bioLeak doi:10.32614/CRAN.package.bioLeak