Man pages for pbreheny/grpreg
Regularization Paths for Regression Models with Grouped Covariates
| AUC.cv.grpsurv | Calculates AUC for cv.grpsurv objects |
| Birthwt | Risk Factors Associated with Low Infant Birth Weight |
| birthwt.grpreg | Risk Factors Associated with Low Infant Birth Weight |
| cv.grpreg | Cross-validation for grpreg/grpsurv |
| expand_spline | Expand feature matrix using basis splines |
| gBridge | Fit a group bridge regression path |
| gen_nonlinear_data | Generate nonlinear example data |
| grpreg | Fit a group penalized regression path |
| grpreg-package | grpreg: Regularization Paths for Regression Models with... |
| grpsurv | Fit an group penalized survival model |
| logLik.grpreg | logLik method for grpreg |
| Lung | VA lung cancer data set |
| plot.cv.grpreg | Plots the cross-validation curve from a 'cv.grpreg' object |
| plot.grpreg | Plot coefficients from a "grpreg" object |
| plot.grpsurv.func | Plot survival curve for grpsurv model |
| plot_spline | Plot spline curve for a fitted additive model |
| predict.grpreg | Model predictions based on a fitted 'grpreg' object |
| predict.grpsurv | Model predictions for grpsurv objects |
| residuals.grpreg | Extract residuals from a grpreg or grpsurv fit |
| select | Select an value of lambda along a grpreg path |
| summary.cv.grpreg | Summarizing inferences based on cross-validation |
