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intro.Rmdusingknitr::rmarkdownThe 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-any)rawKS_0.1.0.zip(r-4.6-any)rawKS_0.1.0.zip(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
rawKS/json (API)
| # 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
4.18 score 3 stars 6 scripts 262 downloads 3 exports 35 dependencies
Last updated from:37b24cfc2c. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 124 | ||
| source / vignettes | OK | 198 | ||
| linux-release | OK | 139 | ||
| macos-release | OK | 84 | ||
| macos-oldrel | OK | 108 | ||
| windows-devel | OK | 73 | ||
| windows-release | OK | 83 | ||
| windows-oldrel | OK | 97 | ||
| wasm-release | OK | 120 |
Dependencies:bitopscaToolsclicpp11dplyrfarvergenericsggplot2gluegplotsgtablegtoolsisobandKernSmoothlabelinglifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerrlangROCRS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
| Help page | Topics |
|---|---|
| Plot KS chart | ks_plot |
| Get KS statistics | ks_table |
| A sample with the target and predictions | two_class_example_edited |