| auto | Auto MPG Data Set |
| coef.cv.grpnet | Extract Coefficients for cv.grpnet and grpnet Fits |
| coef.grpnet | Extract Coefficients for cv.grpnet and grpnet Fits |
| cv.compare | Compare Multiple cv.grpnet Solutions |
| cv.grpnet | Cross-Validation for grpnet |
| cv.grpnet.default | Cross-Validation for grpnet |
| cv.grpnet.formula | Cross-Validation for grpnet |
| family.grpnet | Prepare 'family' Argument for grpnet |
| grpnet | Fit a Group Elastic Net Regularized GLM/GAM |
| grpnet.default | Fit a Group Elastic Net Regularized GLM/GAM |
| grpnet.formula | Fit a Group Elastic Net Regularized GLM/GAM |
| grpnetStartupMessage | Startup Message for grpnet |
| plot.cv.grpnet | Plot Cross-Validation Curve for cv.grpnet Fits |
| plot.grpnet | Plot Regularization Path for grpnet Fits |
| predict.cv.grpnet | Predict Method for cv.grpnet Fits |
| predict.grpnet | Predict Method for grpnet Fits |
| print.coef.grpnet | S3 'print' Methods for grpnet |
| print.cv.grpnet | S3 'print' Methods for grpnet |
| print.grpnet | S3 'print' Methods for grpnet |
| rk | Reproducing Kernel Basis |
| rk.model.matrix | Construct Design Matrices via Reproducing Kernels |
| row.kronecker | Row-Wise Kronecker Product |
| StartupMessage | Startup Message for grpnet |
| visualize.loss | Plots grpnet Loss Function on Link or Response Scale |
| visualize.penalty | Plots grpnet Penalty Function or its Derivative |
| visualize.shrink | Plots grpnet Shrinkage Operator or its Estimator |