Man pages for SGPR
Sparse Group Penalized Regression for Bi-Level Variable Selection
| coef.sgp | Coefficients from an SGP model |
| coef.sgp.cv | Coefficients from SGP models |
| get.loss | A function that calculates the loss/cost |
| plot.sgp | Plots the coefficient path of an SGP object |
| plot.sgp.cv | Plots the cross-validation curve from a SGP object |
| predict.sgp | Predictions based on a SGP model |
| predict.sgp.cv | Predictions based on a SGP models |
| process.group | Process groupings for a sparse group penalty |
| process.lambda | Set up a lambda sequence |
| process.penalty | Process the arguments about the sparse group penalty |
| process.X | Process X for a sparse group penalty |
| process.y | Process y for a sparse group penalty |
| process.Z | Process Z for a sparse group penalty |
| sgp | Fit a sparse group regularized regression path |
| sgp.cv | Cross-validation for sparse group penalties |
| SGPR-package | SGPR: Sparse Group Penalized Regression for Bi-Level Variable... |
