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 Operator Curve.
| Version: | 0.1 |
| Imports: | glmnet, e1071, randomForest, MASS, parallel, ada, stats, graphics |
| Published: | 2016-02-13 |
| Author: | Yang Feng, Jessica Li and Xin Tong |
| Maintainer: | Yang Feng <yang.feng at columbia.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | nproc results |
| Reference manual: | nproc.pdf |
| Package source: | nproc_0.1.tar.gz |
| Windows binaries: | r-devel: nproc_0.1.zip, r-release: nproc_0.1.zip, r-oldrel: nproc_0.1.zip |
| OS X Snow Leopard binaries: | r-release: nproc_0.1.tgz, r-oldrel: not available |
| OS X Mavericks binaries: | r-release: nproc_0.1.tgz |