SSGL
Spike-and-Slab Group Lasso for Group-Regularized Generalized Linear Models
Fits group-regularized generalized linear models (GLMs) using the spike-and-slab group lasso (SSGL) prior of Bai et al. (2022) <doi:10.1080/01621459.2020.1765784> and extended to GLMs by Bai (2023) <doi:10.48550/arXiv.2007.07021>. This package supports fitting the SSGL model for the following GLMs with group sparsity: Gaussian linear regression, binary logistic regression, and Poisson regression.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0 |
rolling linux/jammy R-4.5 | SSGL_2.0.tar.gz |
65.8 KiB |
2.0 |
rolling linux/noble R-4.5 | SSGL_2.0.tar.gz |
65.7 KiB |
2.0 |
rolling source/ R- | SSGL_2.0.tar.gz |
13.2 KiB |
2.0 |
latest linux/jammy R-4.5 | SSGL_2.0.tar.gz |
65.8 KiB |
2.0 |
latest linux/noble R-4.5 | SSGL_2.0.tar.gz |
65.7 KiB |
2.0 |
latest source/ R- | SSGL_2.0.tar.gz |
13.2 KiB |
2.0 |
2026-04-26 source/ R- | SSGL_2.0.tar.gz |
13.2 KiB |
2.0 |
2026-04-23 source/ R- | SSGL_2.0.tar.gz |
13.2 KiB |
2.0 |
2026-04-09 windows/windows R-4.5 | SSGL_2.0.zip |
68.0 KiB |
2.0 |
2025-04-20 source/ R- | SSGL_2.0.tar.gz |
13.2 KiB |