SHRED
Setwise Hierarchical Rate of Erroneous Discovery
Setwise Hierarchical Rate of Erroneous Discovery (SHRED) methods for setwise variable selection with false discovery rate (FDR) control. Setwise variable selection means that sets of variables may be selected when the true variable cannot be identified. This allows us to maintain FDR control but increase power. Details of the SHRED methods are in Organ, Kenney & Gu (2026) <doi:10.48550/arXiv.2603.02160>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | SHRED_1.0.0.tar.gz |
42.5 KiB |
1.0.0 |
rolling linux/noble R-4.5 | SHRED_1.0.0.tar.gz |
42.4 KiB |
1.0.0 |
rolling source/ R- | SHRED_1.0.0.tar.gz |
9.2 KiB |
1.0.0 |
latest linux/jammy R-4.5 | SHRED_1.0.0.tar.gz |
42.5 KiB |
1.0.0 |
latest linux/noble R-4.5 | SHRED_1.0.0.tar.gz |
42.4 KiB |
1.0.0 |
latest source/ R- | SHRED_1.0.0.tar.gz |
9.2 KiB |
1.0.0 |
2026-04-26 source/ R- | SHRED_1.0.0.tar.gz |
9.2 KiB |
1.0.0 |
2026-04-23 source/ R- | SHRED_1.0.0.tar.gz |
9.2 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | SHRED_1.0.0.zip |
44.9 KiB |