nproc: Neyman-Pearson Receiver Operating Characteristics

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.

Version: 2.0.4
Imports: glmnet, e1071, randomForest, MASS, parallel, ada, stats, graphics
Suggests: knitr, rmarkdown
Published: 2017-01-13
Author: Yang Feng, Jessica Li and Xin Tong
Maintainer: Yang Feng <yang.feng at columbia.edu>
License: GPL-2
URL: http://arxiv.org/abs/1608.03109
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: nproc results

Downloads:

Reference manual: nproc.pdf
Vignettes: nproc demo
Package source: nproc_2.0.4.tar.gz
Windows binaries: r-devel: nproc_2.0.4.zip, r-release: nproc_2.0.4.zip, r-oldrel: nproc_2.0.4.zip
OS X Mavericks binaries: r-release: nproc_2.0.4.tgz, r-oldrel: nproc_2.0.4.tgz
Old sources: nproc archive

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