Package: rawKS
Title: Easily Get True-Positive Rate and False-Positive Rate and KS
        Statistic
Version: 0.1.0
Authors@R: 
    person(given = "Jiaxiang",
           family = "Li",
           role = c("aut", "cre"),
           email = "alex.lijiaxiang@foxmail.com",
           comment = c(ORCID = "https://orcid.org/0000-0003-3196-6492"))
Description: The Kolmogorov-Smirnov (K-S) statistic is a standard
        method to measure the model strength for credit risk scoring
        models. This package calculates the K–S statistic and plots the
        true-positive rate and false-positive rate to measure the model
        strength. This package was written with the credit marketer,
        who uses risk models in conjunction with his campaigns. The
        users could read more details from Thrasher (1992)
        <doi:10.1002/dir.4000060408> and 'pyks'
        <https://pypi.org/project/pyks/>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, magrittr, ROCR, ggplot2, tidyr
Roxygen: list(markdown = TRUE)
RoxygenNote: 6.1.1
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Config/pak/sysreqs: libicu-dev
Repository: https://jiaxiangbu.r-universe.dev
Date/Publication: 2020-02-08 12:10:14 UTC
RemoteUrl: https://github.com/jiaxiangbu/rawks
RemoteRef: HEAD
RemoteSha: 37b24cfc2c40e339bd808f16ec914427f35f58dd
NeedsCompilation: no
Packaged: 2026-10-01 10:07:25 UTC; root
Author: Jiaxiang Li [aut, cre] (ORCID: <https://orcid.org/0000-0003-3196-6492>)
Maintainer: Jiaxiang Li <alex.lijiaxiang@foxmail.com>