Given a sample of class 0 and class 1 and a classification method, the package generates the corresponding Neyman-Pearson classifier with a pre-specified type-I error control and Neyman-Pearson Receiver Operating Characteristics.
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Yang Feng, 21 days ago
Browse source code at
Yang Feng, Jessica Li and Xin Tong
Imports glmnet, e1071, randomForest, MASS, parallel, ada, stats, graphics, ROCR, tree
Suggests knitr, rmarkdown
See at CRAN