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: 0.1.0
Depends: R (≥ 3.6.0)
Imports: stats, gbm, Rborist, Hmisc
Published: 2020-02-29
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_0.1.0.tar.gz
Windows binaries: r-prerelease:, r-release:, r-oldrel: not available
macOS binaries: r-prerelease: mob_0.1.0.tgz, r-release: mob_0.1.0.tgz, r-oldrel: not available


Please use the canonical form to link to this page.