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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | QuanDA_1.0.0.tar.gz |
1.6 MiB |
1.0.0 |
rolling linux/noble R-4.5 | QuanDA_1.0.0.tar.gz |
1.6 MiB |
1.0.0 |
rolling source/ R- | QuanDA_1.0.0.tar.gz |
1.6 MiB |
1.0.0 |
latest linux/jammy R-4.5 | QuanDA_1.0.0.tar.gz |
1.6 MiB |
1.0.0 |
latest linux/noble R-4.5 | QuanDA_1.0.0.tar.gz |
1.6 MiB |
1.0.0 |
latest source/ R- | QuanDA_1.0.0.tar.gz |
1.6 MiB |
1.0.0 |
2026-04-26 source/ R- | QuanDA_1.0.0.tar.gz |
1.6 MiB |
1.0.0 |
2026-04-23 source/ R- | QuanDA_1.0.0.tar.gz |
1.6 MiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | QuanDA_1.0.0.zip |
1.6 MiB |