Package: rawKS 0.1.0

rawKS: Easily Get True-Positive Rate and False-Positive Rate and KS Statistic

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/>.

Authors:Jiaxiang Li [aut, cre]

rawKS_0.1.0.tar.gz
rawKS_0.1.0.zip(r-4.7)rawKS_0.1.0.zip(r-4.6)rawKS_0.1.0.zip(r-4.5)
rawKS_0.1.0.tgz(r-4.6-any)rawKS_0.1.0.tgz(r-4.5-any)
rawKS_0.1.0.tar.gz(r-4.7-any)rawKS_0.1.0.tar.gz(r-4.6-any)
rawKS_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
rawKS/json (API)
NEWS

# Install 'rawKS' in R:
install.packages('rawKS', repos = c('https://jiaxiangbu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jiaxiangbu/rawks/issues

Datasets:

On CRAN:

Conda:

ksmodel-evaluation

4.18 score 3 stars 5 scripts 148 downloads 3 exports 35 dependencies

Last updated from:37b24cfc2c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK137
source / vignettesOK182
linux-release-x86_64OK131
macos-release-arm64OK143
macos-oldrel-arm64OK155
windows-develOK90
windows-releaseOK88
windows-oldrelOK79
wasm-releaseOK109

Exports:%>%ks_plotks_table

Dependencies:bitopscaToolsclicpp11dplyrfarvergenericsggplot2gluegplotsgtablegtoolsisobandKernSmoothlabelinglifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerrlangROCRS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

intro

Rendered fromintro.Rmdusingknitr::rmarkdownon May 28 2026.

Last update: 2020-01-26
Started: 2020-01-26