rknn v1.0
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by Shengqiao Li
Random KNN Classification and Regression
Random KNN Classification and Regression
Functions in rknn
Name | Description | |
print.rknnBE | Print Method for Recursive Backward Elimination Feature Selection | |
PRESS | Predicted Residual Sum of Squares | |
confusion | Classification Confusion Matrix and Accuracy | |
plot backward elimination | Plot Function for Recursive Backward Elimination Feature Selection | |
print.rknn | Print method for Random KNN | |
rknnSupport | Support Criterion | |
rknn | Random KNN Classification and Regression | |
plot rknn support | Plot Function for Support Criterion | |
bestset | Extract the Best Subset of Feature from Selection Process | |
internal functions | Random KNN Internal Functions | |
eta | Coverage Probability | |
normalize | Data Normalization | |
rsqp | Predicted R-square | |
cv.coef | Coefficient of Variation | |
rknn-package | Random KNN Classification and Regression | |
fitted | Extract Model Fitted Values | |
predicted | Prediced Value From a Linear Model | |
print.rknnSupport | Print Method for Random KNN Support Criterion | |
r | Choose number of KNNs | |
varUsed | Features Used or Not Used in Random KNN | |
rknnBeg | Backward Elimination Feature Selection with Random KNN | |
lambda | Compute Number of Silent Features | |
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Details
Type | Package |
Date | 2012-04-22 |
License | GPL (>= 2) |
LazyLoad | yes |
Packaged | 2012-04-22 05:18:20 UTC; Tiger |
Repository | CRAN |
Date/Publication | 2012-04-23 05:04:08 |
depends | base (>= 2.4.0) , FNN (>= 0.6-3) , gmp , R (>= 2.4.0) |
suggests | Biobase , chemometrics , genefilter , golubEsets , Hmisc |
Contributors | Shengqiao Li |
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