ProSGPV
Penalized Regression with Second-Generation P-Values
Implementation of penalized regression with second-generation p-values for variable selection. The algorithm can handle linear regression, GLM, and Cox regression. S3 methods print(), summary(), coef(), predict(), and plot() are available for the algorithm. Technical details can be found at Zuo et al. (2021) <doi:10.1080/00031305.2021.1946150>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | ProSGPV_1.0.0.tar.gz |
2.3 MiB |
1.0.0 |
rolling linux/noble R-4.5 | ProSGPV_1.0.0.tar.gz |
2.3 MiB |
1.0.0 |
rolling source/ R- | ProSGPV_1.0.0.tar.gz |
4.6 MiB |
1.0.0 |
latest linux/jammy R-4.5 | ProSGPV_1.0.0.tar.gz |
2.3 MiB |
1.0.0 |
latest linux/noble R-4.5 | ProSGPV_1.0.0.tar.gz |
2.3 MiB |
1.0.0 |
latest source/ R- | ProSGPV_1.0.0.tar.gz |
4.6 MiB |
1.0.0 |
2026-04-26 source/ R- | ProSGPV_1.0.0.tar.gz |
4.6 MiB |
1.0.0 |
2026-04-23 source/ R- | ProSGPV_1.0.0.tar.gz |
4.6 MiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | ProSGPV_1.0.0.zip |
2.3 MiB |
1.0.0 |
2025-04-20 source/ R- | ProSGPV_1.0.0.tar.gz |
4.6 MiB |