rare
Linear Model with Tree-Based Lasso Regularization for Rare Features
Implementation of an alternating direction method of multipliers algorithm for fitting a linear model with tree-based lasso regularization, which is proposed in Algorithm 1 of Yan and Bien (2020) <doi:10.1080/01621459.2020.1796677>. The package allows efficient model fitting on the entire 2-dimensional regularization path for large datasets. The complete set of functions also makes the entire process of tuning regularization parameters and visualizing results hassle-free.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.2 |
rolling linux/jammy R-4.5 | rare_0.1.2.tar.gz |
296.9 KiB |
0.1.2 |
rolling linux/noble R-4.5 | rare_0.1.2.tar.gz |
300.5 KiB |
0.1.2 |
rolling source/ R- | rare_0.1.2.tar.gz |
2.1 MiB |
0.1.2 |
latest linux/jammy R-4.5 | rare_0.1.2.tar.gz |
296.9 KiB |
0.1.2 |
latest linux/noble R-4.5 | rare_0.1.2.tar.gz |
300.5 KiB |
0.1.2 |
latest source/ R- | rare_0.1.2.tar.gz |
2.1 MiB |
0.1.2 |
2026-04-26 source/ R- | rare_0.1.2.tar.gz |
2.1 MiB |
0.1.2 |
2026-04-23 source/ R- | rare_0.1.2.tar.gz |
2.1 MiB |
0.1.2 |
2026-04-09 windows/windows R-4.5 | rare_0.1.2.zip |
614.9 KiB |
0.1.1 |
2025-04-20 source/ R- | rare_0.1.1.tar.gz |
2.5 MiB |