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 |