SOIL
Sparsity Oriented Importance Learning
Sparsity Oriented Importance Learning (SOIL) provides a new variable importance measure for high dimensional linear regression and logistic regression from a sparse penalization perspective, by taking into account the variable selection uncertainty via the use of a sensible model weighting. The package is an implementation of Ye, C., Yang, Y., and Yang, Y. (2017+).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1 |
rolling linux/jammy R-4.5 | SOIL_1.1.tar.gz |
39.0 KiB |
1.1 |
rolling linux/noble R-4.5 | SOIL_1.1.tar.gz |
38.8 KiB |
1.1 |
rolling source/ R- | SOIL_1.1.tar.gz |
6.2 KiB |
1.1 |
latest linux/jammy R-4.5 | SOIL_1.1.tar.gz |
39.0 KiB |
1.1 |
latest linux/noble R-4.5 | SOIL_1.1.tar.gz |
38.8 KiB |
1.1 |
latest source/ R- | SOIL_1.1.tar.gz |
6.2 KiB |
1.1 |
2026-04-26 source/ R- | SOIL_1.1.tar.gz |
6.2 KiB |
1.1 |
2026-04-23 source/ R- | SOIL_1.1.tar.gz |
6.2 KiB |
1.1 |
2026-04-09 windows/windows R-4.5 | SOIL_1.1.zip |
41.4 KiB |
1.1 |
2025-04-20 source/ R- | SOIL_1.1.tar.gz |
6.2 KiB |