PSGD
Projected Subset Gradient Descent
Functions to generate ensembles of generalized linear models using a greedy projected subset gradient descent algorithm. The sparsity and diversity tuning parameters are selected by cross-validation.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.6 |
rolling linux/jammy R-4.5 | PSGD_1.0.6.tar.gz |
192.9 KiB |
1.0.6 |
rolling linux/noble R-4.5 | PSGD_1.0.6.tar.gz |
200.7 KiB |
1.0.6 |
rolling source/ R- | PSGD_1.0.6.tar.gz |
59.0 KiB |
1.0.6 |
latest linux/jammy R-4.5 | PSGD_1.0.6.tar.gz |
192.9 KiB |
1.0.6 |
latest linux/noble R-4.5 | PSGD_1.0.6.tar.gz |
200.7 KiB |
1.0.6 |
latest source/ R- | PSGD_1.0.6.tar.gz |
59.0 KiB |
1.0.6 |
2026-04-26 source/ R- | PSGD_1.0.6.tar.gz |
59.0 KiB |
1.0.6 |
2026-04-23 source/ R- | PSGD_1.0.6.tar.gz |
59.0 KiB |
1.0.6 |
2026-04-09 windows/windows R-4.5 | PSGD_1.0.6.zip |
510.3 KiB |
1.0.6 |
2025-04-20 source/ R- | PSGD_1.0.6.tar.gz |
59.0 KiB |