Package: npcs
Type: Package
Title: Neyman-Pearson Classification via Cost-Sensitive Learning
Version: 0.1.1
Authors@R: c(person("Ye", "Tian", role = c("aut"), email = "ye.t@columbia.edu"), person("Ching-Tsung", "Tsai", role = c("aut", "cre"), email = "tctsung@nyu.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).
Imports: dfoptim, magrittr, smotefamily, foreach, caret, formatR,
        dplyr, forcats, ggplot2, tidyr, nnet
License: GPL-2
Depends: R (>= 3.5.0)
Encoding: UTF-8
RoxygenNote: 7.2.2
Suggests: knitr, rmarkdown, gbm
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-04-26 15:18:10 UTC; tsung_macbook
Author: Ye Tian [aut],
  Ching-Tsung Tsai [aut, cre],
  Yang Feng [aut]
Maintainer: Ching-Tsung Tsai <tctsung@nyu.edu>
Repository: CRAN
Date/Publication: 2023-04-27 08:20:02 UTC
Built: R 4.6.0; ; 2026-04-30 14:41:35 UTC; unix
