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: 0.4.2
Depends: R (≥ 3.3.3)
Imports: stats, gbm, Rborist
Published: 2021-07-31
DOI: 10.32614/CRAN.package.mob
Author: WenSui Liu
Maintainer: WenSui Liu <liuwensui at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: mob results


Reference manual: mob.pdf


Package source: mob_0.4.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mob_0.4.2.tgz, r-oldrel (arm64): mob_0.4.2.tgz, r-release (x86_64): mob_0.4.2.tgz, r-oldrel (x86_64): mob_0.4.2.tgz
Old sources: mob archive


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