Man pages for gmweaver/hierr
Hierarchical Regularized Regression
| 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... |
| define_lasso | Define lasso regularization object for predictor and external... |
| define_penalty | Define regularization object for predictor and external data. |
| define_ridge | Define ridge regularization object for predictor and external... |
| 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... |
| x_linear | Simulated example data for hierarchical regularized linear... |
| xrnet | Fit hierarchical regularized regression model |
| xrnet_control | Control function for xrnet fitting |
| y_linear | Simulated outcome data |
