Man pages for rknn
Random KNN Classification and Regression
| be | Backward Elimination Feature Selection with Random KNN |
| bestset | Extract the Best Subset of Feature from Selection Process |
| confusion | Classification Confusion Matrix and Accuracy |
| cv.coef | Coefficient of Variation |
| eta | Coverage Probability |
| fitted.rknn | Extract Model Fitted Values |
| internal | Random KNN Internal Functions |
| lambda | Compute Number of Silent Features |
| normalize | Data Normalization |
| package_summary | Random KNN Classification and Regression |
| plot.be | Plot Function for Recursive Backward Elimination Feature... |
| plot.rknnSupport | Plot Function for Support Criterion |
| predicted | Prediced Value From a Linear Model |
| PRESS | Predicted Residual Sum of Squares |
| print.rknn | Print method for Random KNN |
| print.rknnBe | Print Method for Recursive Backward Elimination Feature... |
| print.rknnSupport | Print Method for Random KNN Support Criterion |
| r | Choose number of KNNs |
| rknn | Random KNN Classification and Regression |
| rknnSupport | Support Criterion |
| rsqp | Predicted R-square |
| varUsed | Features Used or Not Used in Random KNN |
