Man pages for hierNest
Penalized Regression with Hierarchical Nested Parameterization Structure
| coef.cv.sparsegl | Extract coefficients from a 'cv.sparsegl' object. |
| coef.sparsegl | Extract model coefficients from a 'sparsegl' object. |
| cv.hierNest | Cross-validated hierarchical nested regularization for... |
| estimate_risk | Calculate information criteria. |
| example_data | Example dataset |
| grouped_sp_norm | Calculate common norms |
| hierNest | Fit Hierarchical Nested Regularization Model (hierNest) |
| hierNest-package | hierNest: Penalized Regression with Hierarchical Nested... |
| make_irls_warmup | Create starting values for iterative reweighted least squares |
| overlapping_gl | Fit an Overlapping Group Lasso Model |
| pipe | Pipe operator |
| plot.cv.hierNest | Plot method for cv.hierNest objects |
| predict.cv.sparsegl | Make predictions from a 'cv.sparsegl' object. |
| predict_hierNest | Predict Method for hierNest Objects |
| predict.sparsegl | Make predictions from a 'sparsegl' object. |
