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: 2026-10-01 08:38:38 UTC; root
Author: Ye Tian [aut], Ching-Tsung Tsai [aut, cre], Yang Feng [aut]
Maintainer: Ching-Tsung Tsai <tctsung@nyu.edu>
Config/pak/sysreqs: libglpk-dev libicu-dev libxml2-dev
Repository: https://tctsung.r-universe.dev
Date/Publication: 2023-04-27 07:20:02 UTC
RemoteUrl: https://github.com/cran/npcs
RemoteRef: HEAD
RemoteSha: 788e78e7899be473e994fb8e89f9407813b6e04c