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 <arXiv:2012.07941>.

Version: 0.3.0
Depends: R (≥ 3.5.0), glmnet, brglm2
Imports: MASS, survival
Suggests: rmarkdown, knitr
Published: 2021-05-15
Author: Yi Zuo ORCID iD [aut, cre], Thomas Stewart [aut], Jeffrey Blume [aut]
Maintainer: Yi Zuo <yi.zuo at vanderbilt.edu>
BugReports: https://github.com/zuoyi93/ProSGPV/issues
License: GPL-3
URL: https://github.com/zuoyi93/ProSGPV, https://arxiv.org/abs/2012.07941
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ProSGPV results

Downloads:

Reference manual: ProSGPV.pdf
Vignettes: ProSGPV in GLM and Cox models
ProSGPV in linear regression
Package source: ProSGPV_0.3.0.tar.gz
Windows binaries: r-devel: ProSGPV_0.1.0.zip, r-release: ProSGPV_0.1.0.zip, r-oldrel: ProSGPV_0.1.0.zip
macOS binaries: r-release: ProSGPV_0.1.0.tgz, r-oldrel: ProSGPV_0.1.0.tgz
Old sources: ProSGPV archive

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