regRSM
Random Subspace Method (RSM) for Linear Regression
Performs Random Subspace Method (RSM) for high-dimensional linear regression to obtain variable importance measures. The final model is chosen based on validation set or Generalized Information Criterion.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.5 |
rolling linux/jammy R-4.5 | regRSM_0.5.tar.gz |
12.9 KiB |
0.5 |
rolling linux/noble R-4.5 | regRSM_0.5.tar.gz |
12.9 KiB |
0.5 |
rolling source/ R- | regRSM_0.5.tar.gz |
12.9 KiB |
0.5 |
latest linux/jammy R-4.5 | regRSM_0.5.tar.gz |
12.9 KiB |
0.5 |
latest linux/noble R-4.5 | regRSM_0.5.tar.gz |
12.9 KiB |
0.5 |
latest source/ R- | regRSM_0.5.tar.gz |
12.9 KiB |
0.5 |
2026-04-26 source/ R- | regRSM_0.5.tar.gz |
12.9 KiB |
0.5 |
2026-04-23 source/ R- | regRSM_0.5.tar.gz |
12.9 KiB |
0.5 |
2025-04-20 source/ R- | regRSM_0.5.tar.gz |
12.9 KiB |