Package index • grpreg

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(): Calculates AUC for cv.grpsurv objects

select(): Select an value of lambda along a grpreg path

Plotting and extracting model features

logLik(<grpreg>) logLik(<grpsurv>): logLik method for grpreg

predict(<cv.grpreg>) coef(<cv.grpreg>) predict(<grpreg>) coef(<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