R: Random KNN Classification and Regression

rknn-package {rknn} | R Documentation

## Random KNN Classification and Regression

### Description

Random KNN Classification and Regression

### Details

Package: | rknn
Type: | Package
Version: | 1.1
Date: | 2013-08-05
Depends: | R (>= 2.15.0), gmp
Suggests: | Hmisc, Biobase, genefilter, golubEsets, chemometrics
Imports: | class, FNN
License: | GPL (>=2)
LazyLoad: | yes
Packaged: | 2013-08-5

Index:

    PRESS                   Predicted Residual Sum of Squares
    begKNN                  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.randomKNN        Extract Model Fitted Values
    knn.reg                 KNN Regression
    knn.reg.cv              KNN Regression Cross-Validation
    lambda                  Compute Number of Silent Features
    normalize.decscale      Data Normalization
    plot.begKNN             Plot Function for Recursive Backward
                            Elimination Feature Selection
    plot.supportRKNN        Plot Function for Support Criterion
    predicted               Prediced Value From a Linear Model
    print.KNNregcv          Print Method for KNN Regression
                            Cross-validation
    print.beKNN             Print Method for Recursive Backward Elimination
                            Feature Selection
    print.randomKNN         Print method for Random KNN regression
                            cross-validation
    print.supportRKNN       Print Method for Random KNN Support Criterion
    r                       Choose number of KNNs
    randomKNN               Random KNN Classification and Regression
    rknn-package            Random KNN Classification and Regression
    rsqp                    Predicted R-square
    supportRKNN             Support Criterion
    varUsed                 Features Used or Not Used in Random KNN

### Author(s)

Shengqiao Li

Maintainer: Shengqiao Li <lishengqiao@yahoo.com>

### References

Shengqiao Li, E James Harner and Donald A Adjeroh. Random KNN feature selection - a fast and stable alternative to Random Forests. BMC Bioinformatics 2011, 12:450. http://www.biomedcentral.com/1471-2105/12/450

[Package rknn version 1.2-1 Index]