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

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