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
RoxygenNote: 6.1.1
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-26 15:09:41 UTC; lijiaxiang
Author: Jiaxiang Li [aut, cre] (<https://orcid.org/0000-0003-3196-6492>)
Maintainer: Jiaxiang Li <alex.lijiaxiang@foxmail.com>
Repository: CRAN
Date/Publication: 2020-02-06 16:00:06 UTC
Built: R 4.6.0; ; 2026-04-30 01:34:22 UTC; unix
