Regularization Paths for Regression Models with Grouped Covariates

Documentation for package ‘grpreg’ version 3.1-4

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