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:
rawKS_0.1.0.tar.gz
rawKS_0.1.0.zip(r-4.5)rawKS_0.1.0.zip(r-4.4)rawKS_0.1.0.zip(r-4.3)
rawKS_0.1.0.tgz(r-4.4-any)rawKS_0.1.0.tgz(r-4.3-any)
rawKS_0.1.0.tar.gz(r-4.5-noble)rawKS_0.1.0.tar.gz(r-4.4-noble)
rawKS_0.1.0.tgz(r-4.4-emscripten)rawKS_0.1.0.tgz(r-4.3-emscripten)
rawKS.pdf |rawKS.html✨
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
- two_class_example_edited - A sample with the target and predictions
Last updated 5 years agofrom:37b24cfc2c. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win | OK | Nov 04 2024 |
R-4.5-linux | OK | Nov 04 2024 |
R-4.4-win | OK | Nov 04 2024 |
R-4.4-mac | OK | Nov 04 2024 |
R-4.3-win | OK | Nov 04 2024 |
R-4.3-mac | OK | Nov 04 2024 |
Dependencies:bitopscaToolsclicolorspacecpp11dplyrfansifarvergenericsggplot2gluegplotsgtablegtoolsisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangROCRscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Plot KS chart | ks_plot |
Get KS statistics | ks_table |
A sample with the target and predictions | two_class_example_edited |