Regularization Paths for Regression Models with Grouped Covariates

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Documentation for package ‘grpreg’ version 3.4.0

• 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
cv.grpreg	Cross-validation for grpreg/grpsurv
cv.grpsurv	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
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
plot.grpsurv.func	Plot survival curve for grpsurv model
plot_spline	Plot spline curve for a fitted additive model
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 for grpsurv objects
print.summary.cv.grpreg	Summarizing inferences based on cross-validation
residuals.grpreg	Extract residuals from a grpreg or grpsurv fit
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