| coef.tune_xrnet | Get coefficient estimates from "tune_xrnet" model object. | 
| coef.xrnet | Get coefficient estimates from "xrnet" model object. | 
| define_enet | Define elastic net regularization object for predictor and external data | 
| define_lasso | Define lasso regularization object for predictor and external data | 
| define_penalty | Define regularization object for predictor and external data. | 
| define_ridge | Define ridge regularization object for predictor and external data | 
| ext_linear | Simulated external data | 
| plot.tune_xrnet | Plot k-fold cross-validation error grid | 
| predict.tune_xrnet | Predict function for "tune_xrnet" object | 
| predict.xrnet | Predict function for "xrnet" object | 
| tune_xrnet | k-fold cross-validation for hierarchical regularized regression | 
| xrnet | Fit hierarchical regularized regression model | 
| xrnet_control | Control function for xrnet fitting | 
| x_linear | Simulated example data for hierarchical regularized linear regression | 
| y_linear | Simulated outcome data |