CRAN/E | ProSGPV

ProSGPV

Penalized Regression with Second-Generation P-Values

Installation

About

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.

github.com/zuoyi93/ProSGPV
Bug report File report

Key Metrics

Version 1.0.0
R ≥ 3.5.0
Published 2021-08-06 994 days ago
Needs compilation? no
License GPL-3
CRAN checks ProSGPV results

Downloads

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Last 7 days 57 +12%
Last 30 days 190 +9%
Last 90 days 524 -26%
Last 365 days 2.275 -14%

Maintainer

Maintainer

Yi Zuo

yi.zuo@vanderbilt.edu

Authors

Yi Zuo

aut / cre

Thomas Stewart

aut

Jeffrey Blume

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

ProSGPV in GLM and Cox models
ProSGPV in linear regression

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

ProSGPV archive

Depends

R ≥ 3.5.0
glmnet
brglm2

Imports

MASS
survival

Suggests

rmarkdown
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