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, 6 months 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