rknn v1.0

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by Shengqiao Li

Random KNN Classification and Regression

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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depends	base (>= 2.4.0) , FNN (>= 0.6-3) , gmp , R (>= 2.4.0)
suggests	Biobase , chemometrics , genefilter , golubEsets , Hmisc
Contributors	Shengqiao Li