Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification R package QuanDA version 1.0.0 Implements quantile-based discriminant analysis (QuanDA) for imbalanced classification in high-dimensional, low-sample-size settings. The method fits penalized quantile regression directly on discrete class labels and tunes the quantile level to reflect class imbalance. Software Depends: R (>= 3.5.0) Imports: hdqr, pROC, stats, methods Qian Tang <tang1015@umn.edu> Comprehensive R Archive Network (CRAN) Qian Tang [aut, cre], Yuwen Gu [aut], Boxiang Wang [aut] GPL-2 2025-11-24 application/tgz https://CRAN.R-project.org/package=QuanDA doi:10.32614/CRAN.package.QuanDA