R: Hierarchical Regularized Regression

# Hierarchical Regularized Regression

## Documentation for package ‘xrnet’ version 1.0.1

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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