| print.rfdata | Print function for class rfdata |
| regAENN | All-k Edited Nearest Neighbors for Regression |
| regAENN.default | All-k Edited Nearest Neighbors for Regression |
| regAENN.formula | All-k Edited Nearest Neighbors for Regression |
| regBBNR | Blame Based Noise Reduction for Regression |
| regBBNR.default | Blame Based Noise Reduction for Regression |
| regBBNR.formula | Blame Based Noise Reduction for Regression |
| regCNN | Condensed Nearest Neighbors for Regression |
| regCNN.default | Condensed Nearest Neighbors for Regression |
| regCNN.formula | Condensed Nearest Neighbors for Regression |
| regCVCF | Cross-Validated Committees Filter for Regression |
| regCVCF.default | Cross-Validated Committees Filter for Regression |
| regCVCF.formula | Cross-Validated Committees Filter for Regression |
| regDF | Dynamic Filter for Regression |
| regDF.default | Dynamic Filter for Regression |
| regDF.formula | Dynamic Filter for Regression |
| regEF | Ensemble Filter for Regression |
| regEF.default | Ensemble Filter for Regression |
| regEF.formula | Ensemble Filter for Regression |
| regENN | Edited Nearest Neighbors for Regression |
| regENN.default | Edited Nearest Neighbors for Regression |
| regENN.formula | Edited Nearest Neighbors for Regression |
| regFMF | Fusion of Multiple Filters for Regression |
| regFMF.default | Fusion of Multiple Filters for Regression |
| regFMF.formula | Fusion of Multiple Filters for Regression |
| regGE | Generalized Edition for Regression |
| regGE.default | Generalized Edition for Regression |
| regGE.formula | Generalized Edition for Regression |
| regHRRF | Hybrid Repair-Remove Filter for Regression |
| regHRRF.default | Hybrid Repair-Remove Filter for Regression |
| regHRRF.formula | Hybrid Repair-Remove Filter for Regression |
| regIPF | Iterative Partitioning Filter for Regression |
| regIPF.default | Iterative Partitioning Filter for Regression |
| regIPF.formula | Iterative Partitioning Filter for Regression |
| regIRF | Iterative Robust Filter for Regression |
| regIRF.default | Iterative Robust Filter for Regression |
| regIRF.formula | Iterative Robust Filter for Regression |
| regRND | Regressand Noise Detection for Regression |
| regRND.default | Regressand Noise Detection for Regression |
| regRND.formula | Regressand Noise Detection for Regression |
| regRNN | Reduced Nearest Neighbors for Regression |
| regRNN.default | Reduced Nearest Neighbors for Regression |
| regRNN.formula | Reduced Nearest Neighbors for Regression |
| summary.rfdata | Summary function for class rfdata |