rknn v1.2-1
0
Monthly downloads
Random KNN Classification and Regression
Random knn classification and regression are implemented. Random knn based feature selection methods are also included. The approaches are mainly developed for high-dimensional data with small sample size.
Functions in rknn
| Name | Description | |
| plot rknn support | Plot Function for Support Criterion | |
| lambda | Compute Number of Silent Features | |
| normalize | Data Normalization | |
| cv.coef | Coefficient of Variation | |
| print.rknn | Print method for Random KNN | |
| rknnSupport | Support Criterion | |
| eta | Coverage Probability | |
| rknn-package | Random KNN Classification and Regression | |
| bestset | Extract the Best Subset of Feature from Selection Process | |
| rknn | Random KNN Classification and Regression | |
| internal functions | Random KNN Internal Functions | |
| PRESS | Predicted Residual Sum of Squares | |
| rsqp | Predicted R-square | |
| print.rknnBE | Print Method for Recursive Backward Elimination Feature Selection | |
| plot backward elimination | Plot Function for Recursive Backward Elimination Feature Selection | |
| varUsed | Features Used or Not Used in Random KNN | |
| r | Choose number of KNNs | |
| fitted | Extract Model Fitted Values | |
| print.rknnSupport | Print Method for Random KNN Support Criterion | |
| rknnBeg | Backward Elimination Feature Selection with Random KNN | |
| predicted | Prediced Value From a Linear Model | |
| confusion | Classification Confusion Matrix and Accuracy | |
| No Results! | ||
Last month downloads
Details
| Type | Package |
| Date | 2015-06-07 |
| License | GPL (>= 2) |
| LazyLoad | yes |
| NeedsCompilation | yes |
| Packaged | 2015-06-07 11:27:21 UTC; Tiger |
| Repository | CRAN |
| Date/Publication | 2015-06-09 00:14:51 |
| depends | base (>= 2.14) , gmp (>= 0.5-5) , R (>= 2.14) |
| suggests | Biobase , chemometrics , genefilter , golubEsets , Hmisc |
| Contributors | Shengqiao Li |
Include our badge in your README
[](http://www.rdocumentation.org/packages/rknn)