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.

Version: 0.3
Depends: R (≥ 3.3.3)
Imports: stats, gbm, Rborist
Published: 2020-11-02
Author: WenSui Liu
Maintainer: WenSui Liu <liuwensui at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/statcompute/mob
NeedsCompilation: no
CRAN checks: mob results

Downloads:

Reference manual: mob.pdf
Package source: mob_0.3.tar.gz
Windows binaries: r-devel: mob_0.3.zip, r-release: mob_0.3.zip, r-oldrel: mob_0.3.zip
macOS binaries: r-release: mob_0.3.tgz, r-oldrel: mob_0.3.tgz
Old sources: mob archive

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