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