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]

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NEWS

Peer review:

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

On CRAN:

ksmodel-evaluation

3 exports 3 stars 0.92 score 42 dependencies 5 scripts 137 downloads

Last updated 5 years agofrom:37b24cfc2c. Checks:OK: 7. Indexed: yes.

Exports:%>%ks_plotks_table

Dependencies:bitopscaToolsclicolorspacecpp11dplyrfansifarvergenericsggplot2gluegplotsgtablegtoolsisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangROCRscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr