Man pages for SLOPE
Sorted L1 Penalized Estimation
| abalone | Abalone |
| bodyfat | Bodyfat |
| coef.SLOPE | Obtain coefficients |
| createFolds | Create cross-validation folds |
| cvSLOPE | Tune SLOPE with cross-validation |
| deviance.SLOPE | Model deviance |
| heart | Heart disease |
| interpolateCoefficients | Interpolate coefficients |
| interpolatePenalty | Interpolate penalty values |
| plotClusters | Plot cluster structure |
| plotDiagnostics | Plot results from diagnostics collected during model fitting |
| plot.SLOPE | Plot coefficients |
| plot.TrainedSLOPE | Plot results from cross-validation |
| predict.SLOPE | Generate predictions from SLOPE models |
| print.SLOPE | Print results from SLOPE fit |
| regularizationWeights | Generate Regularization (Penalty) Weights for SLOPE |
| score | Compute one of several loss metrics on a new data set |
| setup_diagnostics | Setup a data.frame of diagnostics |
| SLOPE | Sorted L-One Penalized Estimation |
| SLOPE-package | SLOPE: Sorted L1 Penalized Estimation |
| sortedL1Prox | Sorted L1 Proximal Operator |
| student | Student performance |
| trainSLOPE | Train a SLOPE model |
| wine | Wine cultivars |
