R: Regularization Paths for Regression Models with Grouped Covariates

# Regularization Paths for Regression Models with Grouped Covariates

## Documentation for package ‘grpreg’ version 3.0-2

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

## Help Pages

grpreg-package | Regularization paths for regression models with grouped covariates
AUC | Calculates AUC for cv.grpsurv objects
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
coef.cv.grpreg | Model predictions based on a fitted 'grpreg' object
coef.grpreg | Model predictions based on a fitted 'grpreg' object
coef.grpsurv | Model predictions based on a fitted "grpsurv" object.
cv.grpreg | Cross-validation for grpreg
cv.grpsurv | Cross-validation for grpsurv
gBridge | Fit a group bridge regression path
grpreg | Fit a group penalized regression path
grpsurv | Fit an group penalized survival model
logLik | logLik method for grpreg
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
predict.cv.grpreg | Model predictions based on a fitted 'grpreg' object
predict.grpreg | Model predictions based on a fitted 'grpreg' object
predict.grpsurv | Model predictions based on a fitted "grpsurv" object.
print.summary.cv.grpreg | Summarizing inferences based on cross-validation
select | Select an value of lambda along a grpreg path
select.grpreg | Select an value of lambda along a grpreg path
summary.cv.grpreg | Summarizing inferences based on cross-validation