QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional
Imbalanced Classification
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 (may not be active yet) |
| 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 |
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