# Penalized Regression with Second-Generation P-Values

## Documentation for package ‘ProSGPV’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

coef.sgpv | 'coef.sgpv': Extract coefficients from the model fit
gen.sim.data | 'gen.sim.data': Generate simulation data
get.candidate | 'get.candidate': Get candidate set
get.coef | 'get.coef': Get coefficients at each 'lambda'
get.var | 'get.var': Get indices
gvif | 'gvif': Get GVIF for each variable
plot.sgpv | 'plot.sgpv': Plot variable selection results
predict.sgpv | 'predict.sgpv': Prediction using the fitted model
print.sgpv | 'print.sgpv': Print variable selection results
pro.sgpv | 'pro.sgpv' function
spine | Spine data
summary.sgpv | 'summary.sgpv': Summary of the final model
t.housing | Tehran housing data