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>.

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 ORCID iD [aut, cre], Thomas Stewart [aut], Jeffrey Blume [aut]
Maintainer: Yi Zuo <yi.zuo at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ProSGPV results


Reference manual: ProSGPV.pdf
Vignettes: ProSGPV in GLM and Cox models
ProSGPV in linear regression


Package source: ProSGPV_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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