sdwd
Sparse Distance Weighted Discrimination
Formulates a sparse distance weighted discrimination (SDWD) for high-dimensional classification and implements a very fast algorithm for computing its solution path with the L1, the elastic-net, and the adaptive elastic-net penalties. More details about the methodology SDWD is seen on Wang and Zou (2016) (<doi:10.1080/10618600.2015.1049700>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.5 |
rolling linux/jammy R-4.5 | sdwd_1.0.5.tar.gz |
1023.6 KiB |
1.0.5 |
rolling linux/noble R-4.5 | sdwd_1.0.5.tar.gz |
1023.5 KiB |
1.0.5 |
rolling source/ R- | sdwd_1.0.5.tar.gz |
949.1 KiB |
1.0.5 |
latest linux/jammy R-4.5 | sdwd_1.0.5.tar.gz |
1023.6 KiB |
1.0.5 |
latest linux/noble R-4.5 | sdwd_1.0.5.tar.gz |
1023.5 KiB |
1.0.5 |
latest source/ R- | sdwd_1.0.5.tar.gz |
949.1 KiB |
1.0.5 |
2026-04-26 source/ R- | sdwd_1.0.5.tar.gz |
949.1 KiB |
1.0.5 |
2026-04-23 source/ R- | sdwd_1.0.5.tar.gz |
949.1 KiB |
1.0.5 |
2026-04-09 windows/windows R-4.5 | sdwd_1.0.5.zip |
1.0 MiB |
1.0.5 |
2025-04-20 source/ R- | sdwd_1.0.5.tar.gz |
949.1 KiB |