sda
Shrinkage Discriminant Analysis and CAT Score Variable Selection
Provides an efficient framework for high-dimensional linear and diagonal discriminant analysis with variable selection. The classifier is trained using James-Stein-type shrinkage estimators and predictor variables are ranked using correlation-adjusted t-scores (CAT scores). Variable selection error is controlled using false non-discovery rates or higher criticism.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.9 |
rolling linux/jammy R-4.5 | sda_1.3.9.tar.gz |
3.8 MiB |
1.3.9 |
rolling linux/noble R-4.5 | sda_1.3.9.tar.gz |
3.8 MiB |
1.3.9 |
rolling source/ R- | sda_1.3.9.tar.gz |
3.8 MiB |
1.3.9 |
latest linux/jammy R-4.5 | sda_1.3.9.tar.gz |
3.8 MiB |
1.3.9 |
latest linux/noble R-4.5 | sda_1.3.9.tar.gz |
3.8 MiB |
1.3.9 |
latest source/ R- | sda_1.3.9.tar.gz |
3.8 MiB |
1.3.9 |
2026-04-26 source/ R- | sda_1.3.9.tar.gz |
3.8 MiB |
1.3.9 |
2026-04-23 source/ R- | sda_1.3.9.tar.gz |
3.8 MiB |
1.3.9 |
2026-04-09 windows/windows R-4.5 | sda_1.3.9.zip |
3.8 MiB |
1.3.9 |
2025-04-20 source/ R- | sda_1.3.9.tar.gz |
3.8 MiB |