penalizedSVM
Feature Selection SVM using Penalty Functions
Support Vector Machine (SVM) classification with simultaneous feature selection using penalty functions is implemented. The smoothly clipped absolute deviation (SCAD), 'L1-norm', 'Elastic Net' ('L1-norm' and 'L2-norm') and 'Elastic SCAD' (SCAD and 'L2-norm') penalties are available. The tuning parameters can be found using either a fixed grid or a interval search.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.0 |
rolling linux/jammy R-4.5 | penalizedSVM_1.2.0.tar.gz |
206.3 KiB |
1.2.0 |
rolling linux/noble R-4.5 | penalizedSVM_1.2.0.tar.gz |
206.4 KiB |
1.2.0 |
rolling source/ R- | penalizedSVM_1.2.0.tar.gz |
68.2 KiB |
1.2.0 |
latest linux/jammy R-4.5 | penalizedSVM_1.2.0.tar.gz |
206.3 KiB |
1.2.0 |
latest linux/noble R-4.5 | penalizedSVM_1.2.0.tar.gz |
206.4 KiB |
1.2.0 |
latest source/ R- | penalizedSVM_1.2.0.tar.gz |
68.2 KiB |
1.2.0 |
2026-04-26 source/ R- | penalizedSVM_1.2.0.tar.gz |
68.2 KiB |
1.2.0 |
2026-04-23 source/ R- | penalizedSVM_1.2.0.tar.gz |
68.2 KiB |
1.2.0 |
2026-04-09 windows/windows R-4.5 | penalizedSVM_1.2.0.zip |
209.4 KiB |
1.1.4 |
2025-04-20 source/ R- | penalizedSVM_1.1.4.tar.gz |
60.1 KiB |