Penalized Regression with Second-Generation P-Values

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Documentation for package ‘ProSGPV’ version 1.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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