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>.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.5.0), glmnet, brglm2 |
| Imports: | MASS, survival |
| Suggests: | rmarkdown, knitr |
| Published: | 2021-08-06 |
| DOI: | 10.32614/CRAN.package.ProSGPV |
| Author: | Yi Zuo |
| Maintainer: | Yi Zuo <yi.zuo at vanderbilt.edu> |
| BugReports: | https://github.com/zuoyi93/ProSGPV/issues |
| License: | GPL-3 |
| URL: | https://github.com/zuoyi93/ProSGPV |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | ProSGPV results |
| Reference manual: | ProSGPV.html , ProSGPV.pdf |
| Vignettes: |
ProSGPV in GLM and Cox models (source, R code) ProSGPV in linear regression (source, R code) |
| Package source: | ProSGPV_1.0.0.tar.gz |
| Windows binaries: | r-devel: ProSGPV_1.0.0.zip, r-release: ProSGPV_1.0.0.zip, r-oldrel: ProSGPV_1.0.0.zip |
| macOS binaries: | r-release (arm64): ProSGPV_1.0.0.tgz, r-oldrel (arm64): ProSGPV_1.0.0.tgz, r-release (x86_64): ProSGPV_1.0.0.tgz, r-oldrel (x86_64): ProSGPV_1.0.0.tgz |
| Old sources: | ProSGPV archive |
Please use the canonical form https://CRAN.R-project.org/package=ProSGPV to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.