tilting
Variable Selection via Tilted Correlation Screening Algorithm
Implements an algorithm for variable selection in high-dimensional linear regression using the "tilted correlation", a new way of measuring the contribution of each variable to the response which takes into account high correlations among the variables in a data-driven way.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.1 |
rolling linux/jammy R-4.5 | tilting_1.1.1.tar.gz |
32.5 KiB |
1.1.1 |
rolling linux/noble R-4.5 | tilting_1.1.1.tar.gz |
32.4 KiB |
1.1.1 |
rolling source/ R- | tilting_1.1.1.tar.gz |
4.8 KiB |
1.1.1 |
latest linux/jammy R-4.5 | tilting_1.1.1.tar.gz |
32.5 KiB |
1.1.1 |
latest linux/noble R-4.5 | tilting_1.1.1.tar.gz |
32.4 KiB |
1.1.1 |
latest source/ R- | tilting_1.1.1.tar.gz |
4.8 KiB |
1.1.1 |
2026-04-26 source/ R- | tilting_1.1.1.tar.gz |
4.8 KiB |
1.1.1 |
2026-04-23 source/ R- | tilting_1.1.1.tar.gz |
4.8 KiB |
1.1.1 |
2026-04-09 windows/windows R-4.5 | tilting_1.1.1.zip |
35.2 KiB |
1.1.1 |
2025-04-20 source/ R- | tilting_1.1.1.tar.gz |
4.8 KiB |