Man pages for SALES
The (Adaptive) Elastic Net and Lasso Penalized Sparse Asymmetric Least Squares (SALES) and Coupled Sparse Asymmetric Least Squares (COSALES) using Coordinate Descent and Proximal Gradient Algorithms
| coef | Extract Model Coefficients |
| coef.cpernet | Get coefficients from a cpernet object |
| coef.cv.cpernet | Get coefficients from a cv.cpernet object |
| coef.cv.ernet | Get coefficients from a cv.ernet object |
| coef.ernet | Get coefficients from an ernet object |
| cpernet | Regularization paths for the coupled sparse asymmetric least... |
| cv.cpernet | Cross-validation for cpernet |
| cv.ernet | Cross-validation for ernet |
| ernet | Regularization paths for the sparse asymmetric least squares... |
| plot.cpernet | Plot coefficients from a cpernet object |
| plot.cv.cpernet | Plot the cross-validated curve produced by cv.cpernet |
| plot.cv.ernet | Plot the cross-validated curve produced by cv.ernet |
| plot.ernet | Plot coefficients from an ernet object |
| predict | Model predictions |
| predict.cpernet | Make predictions from a cpernet object |
| predict.cv.cpernet | Make predictions from a cv.cpernet object |
| predict.cv.ernet | Make predictions from a cv.ernet object |
| predict.ernet | Make predictions from an ernet object |
| print.cpernet | Print a cpernet object |
| print.ernet | Print an ernet object |
