Package: npcs
Type: Package
Title: Neyman-Pearson Classification via Cost-Sensitive Learning
Version: 0.1.0
Authors@R: c(person("Ye", "Tian", role = c("aut", "cre"), email = "ye.t@columbia.edu"), person("Yang", "Feng", role = "aut", email = "yang.feng@nyu.edu"))
Description: We connect the multi-class Neyman-Pearson classification (NP) problem to the cost-sensitive learning (CS) problem, and propose two algorithms (NPMC-CX and NPMC-ER) to solve the multi-class NP problem through cost-sensitive learning tools. Under certain conditions, the two algorithms are shown to satisfy multi-class NP properties. More details are available in the paper "Neyman-Pearson Multi-class Classification via Cost-sensitive Learning" (Ye Tian and Yang Feng, 2021), which will be posted on arXiv soon.
Imports: dfoptim, nnet, randomForest, e1071, magrittr, MASS,
        smotefamily, rpart, foreach, naivebayes, caret, formatR
License: GPL-2
Depends: R (>= 3.5.0)
Encoding: UTF-8
RoxygenNote: 7.1.2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-10-18 14:16:01 UTC; yetian
Author: Ye Tian [aut, cre],
  Yang Feng [aut]
Maintainer: Ye Tian <ye.t@columbia.edu>
Repository: CRAN
Date/Publication: 2021-10-19 07:20:05 UTC
Built: R 4.1.3; ; 2023-04-17 20:03:21 UTC; windows
