Man pages for AndrewjSage/RFLOWESS
A robust approach to random forest regression
| ApplyAcross_m_and_p | Sim across m and p |
| ApplyAcross_p | Sim across m and p |
| Assess_Folds | Assess_Folds |
| Assess_Real_Data | Assess_Real_Data |
| AssignFolds | Partition training data |
| Calc_fold_CV_Error | Apply Parameter Tuning |
| Calculate_CV_Error | Parameter tuning function #' For each candidate parameter... |
| Compute_deltas | Function to compute RFLOWESS weight multipliers for training... |
| Evaluate_Tuning_Candidates | Evaluate Tuning Candidates |
| generate_LMdata | Generate Li, Martin data |
| generate_RLdata | Generate Roy, Larocque data |
| Get_CVWeights | Parameter Tuning Weighting Function |
| hello | Hello, World! |
| Huber | Pseudo-Huber function |
| LiPred | Li, Martin Predictions |
| LOWESSPred | RFLOWESS Prediction |
| Make_All_Preds | Make Predictions |
| MakeLowessPred | Predict RFLOWESS Tuning |
| Node_Tree_Agg | Median Aggregation Predictions. |
| Partition_Real_Data | Partition Real Data |
| RunSimulation | Run Simulation |
| Tukey | Tukey bisquare function |
| TuneMultifoldCV | Main Parameter Tuning Function |
