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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.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | hdqr, pROC, stats, methods |
| Published: | 2025-11-24 |
| DOI: | 10.32614/CRAN.package.QuanDA |
| Author: | Qian Tang [aut, cre], Yuwen Gu [aut], Boxiang Wang [aut] |
| Maintainer: | Qian Tang <tang1015 at umn.edu> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | QuanDA results |
| Reference manual: | QuanDA.html , QuanDA.pdf |
| Package source: | QuanDA_1.0.0.tar.gz |
| Windows binaries: | r-devel: QuanDA_1.0.0.zip, r-release: QuanDA_1.0.0.zip, r-oldrel: QuanDA_1.0.0.zip |
| macOS binaries: | r-release (arm64): QuanDA_1.0.0.tgz, r-oldrel (arm64): QuanDA_1.0.0.tgz, r-release (x86_64): QuanDA_1.0.0.tgz, r-oldrel (x86_64): QuanDA_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.