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