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:WenSui Liu

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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'))

Peer review:

Bug tracker:https://github.com/statcompute/mob/issues

Datasets:
  • hmeq - Credit attributes of 5,960 home equity loans

On CRAN:

12 exports 1.45 score 8 dependencies 5 mentions 11 scripts 260 downloads

Last updated 3 years agofrom:1e5cb564ad. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-winOKAug 23 2024
R-4.5-linuxOKAug 23 2024
R-4.4-winOKAug 23 2024
R-4.4-macOKAug 23 2024
R-4.3-winOKAug 23 2024
R-4.3-macOKAug 23 2024

Exports:arb_binbad_binbatch_binbatch_woecal_woegbm_biniso_binkmn_binpool_binqcutqtl_binrng_bin

Dependencies:data.tabledigestgbmlatticeMatrixRboristRcppsurvival