Package: mob 0.4.2
mob: Monotonic Optimal Binning
Generate the monotonic binning and perform the woe (weight of evidence) transformation for the logistic regression used in the consumer credit scorecard development. The woe transformation is a piecewise transformation that is linear to the log odds. For a numeric variable, all of its monotonic functional transformations will converge to the same woe transformation.
Authors:
mob_0.4.2.tar.gz
mob_0.4.2.zip(r-4.5)mob_0.4.2.zip(r-4.4)mob_0.4.2.zip(r-4.3)
mob_0.4.2.tgz(r-4.4-any)mob_0.4.2.tgz(r-4.3-any)
mob_0.4.2.tar.gz(r-4.5-noble)mob_0.4.2.tar.gz(r-4.4-noble)
mob_0.4.2.tgz(r-4.4-emscripten)mob_0.4.2.tgz(r-4.3-emscripten)
mob.pdf |mob.html✨
mob/json (API)
| # Install 'mob' in R: |
| install.packages('mob', repos = c('https://statcompute.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/statcompute/mob/issues
- hmeq - Credit attributes of 5,960 home equity loans
Last updated 3 years agofrom:1e5cb564ad. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 21 2024 |
| R-4.5-win | OK | Nov 21 2024 |
| R-4.5-linux | OK | Nov 21 2024 |
| R-4.4-win | OK | Nov 21 2024 |
| R-4.4-mac | OK | Nov 21 2024 |
| R-4.3-win | OK | Nov 21 2024 |
| R-4.3-mac | OK | Nov 21 2024 |
Exports:arb_binbad_binbatch_binbatch_woecal_woegbm_biniso_binkmn_binpool_binqcutqtl_binrng_bin
Dependencies:data.tabledigestgbmlatticeMatrixRboristRcppsurvival
