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ProSGPV  

Penalized Regression with Second-Generation P-Values
View on CRAN: Click here


Download and install ProSGPV package within the R console
Install from CRAN:
install.packages("ProSGPV")

Install from Github:
library("remotes")
install_github("cran/ProSGPV")

Install by package version:
library("remotes")
install_version("ProSGPV", "1.0.0")



Attach the package and use:
library("ProSGPV")
Maintained by
Yi Zuo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-06
Latest Update: 2021-08-06
Description:
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) .
How to cite:
Yi Zuo (2021). ProSGPV: Penalized Regression with Second-Generation P-Values. R package version 1.0.0, https://cran.r-project.org/web/packages/ProSGPV. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2021-01-06 10:50), 0.3.0 (2021-05-15 15:20)
Other packages that cited ProSGPV R package
View ProSGPV citation profile
Other R packages that ProSGPV depends, imports, suggests or enhances
Complete documentation for ProSGPV
Functions, R codes and Examples using the ProSGPV R package
Some associated functions: coef.sgpv . gen.sim.data . get.candidate . get.coef . get.var . gvif . plot.sgpv . predict.sgpv . print.sgpv . pro.sgpv . spine . summary.sgpv . t.housing . 
Some associated R codes: data.R . pro.sgpv.R . utils.R . zzz.R .  Full ProSGPV package functions and examples
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