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 |
| glioma | Glioma Metabolomics |
| 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 |
| print.summary_SLOPE | Print Summary of SLOPE Model |
| print.summary_TrainedSLOPE | Print Summary of TrainedSLOPE Model |
| refit | Refit SLOPE Model with Optimal Parameters |
| 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 |
| summary.SLOPE | Summarize SLOPE Model |
| summary.TrainedSLOPE | Summarize TrainedSLOPE Model |
| trainSLOPE | Train a SLOPE Model |
| wine | Wine Cultivars |
