API for SGPR
Sparse Group Penalized Regression for Bi-Level Variable Selection
| Global functions | |
|---|---|
| SGPR | Man page |
| SGPR-package | Man page |
| approx | Source code |
| coef.sgp | Man page Source code |
| coef.sgp.cv | Man page Source code |
| ep | Source code |
| get.loss | Man page Source code |
| get_loss | Source code |
| get_norm | Source code |
| inv_log_link | Source code |
| lasso | Source code |
| lcdfit_linear | Source code |
| lcdfit_logistic | Source code |
| max_cor | Source code |
| mcp | Source code |
| plot.sgp | Man page Source code |
| plot.sgp.cv | Man page Source code |
| predict.sgp | Man page Source code |
| predict.sgp.cv | Man page Source code |
| process.X | Man page Source code |
| process.Z | Man page Source code |
| process.group | Man page Source code |
| process.lambda | Man page Source code |
| process.penalty | Man page Source code |
| process.y | Man page Source code |
| scad | Source code |
| sgp | Man page Source code |
| sgp.cv | Man page Source code |
| xty | Source code |
