Reference

Model fitting
grpreg()	Fit a group penalized regression path
grpsurv()	Fit an group penalized survival model
gBridge()	Fit a group bridge regression path
Model selection and cross-validation
cv.grpreg() cv.grpsurv()	Cross-validation for grpreg/grpsurv
plot(<cv.grpreg>)	Plots the cross-validation curve from a cv.grpreg object
summary(<cv.grpreg>) print(<summary.cv.grpreg>)	Summarizing inferences based on cross-validation
AUC(<cv.grpsurv>)	Calculates AUC for cv.grpsurv objects
select()	Select an value of lambda along a grpreg path
Plotting and extracting model features
logLik(<grpreg>)	logLik method for grpreg
predict(<grpreg>) coef(<grpreg>) predict(<cv.grpreg>) coef(<cv.grpreg>)	Model predictions based on a fitted grpreg object
predict(<grpsurv>)	Model predictions for grpsurv objects
plot(<grpreg>)	Plot coefficients from a "grpreg" object
plot(<grpsurv.func>)	Plot survival curve for grpsurv model
residuals(<grpreg>)	Extract residuals from a grpreg or grpsurv fit
Utilities for additive models
expand_spline()	Expand feature matrix using basis splines
gen_nonlinear_data()	Generate nonlinear example data
plot_spline()	Plot spline curve for a fitted additive model
Data sets
Birthwt	Risk Factors Associated with Low Infant Birth Weight
Lung	VA lung cancer data set