smbinning: Optimal Binning for Scoring Modeling

It categorizes a numeric variable into bins mapped to a binary target variable for its ulterior usage in scoring modeling. Its purpose is to automate the time consuming process of selecting the right cut points, quickly calculate metrics such as Weight of Evidence and Information Value; and also document SQL codes, tables, and plots used throughout the development stage. The package also allows users to establish their own cut points for numeric characteristics and run the analysis for categorical variables.

Version: 0.2
Depends: R (≥ 3.1.2), sqldf, partykit, Formula
Imports: gsubfn
Published: 2015-06-14
Author: Herman Jopia
Maintainer: Herman Jopia <hjopia at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: smbinning results


Reference manual: smbinning.pdf
Package source: smbinning_0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: smbinning_0.2.tgz, r-oldrel: smbinning_0.1.tgz
OS X Mavericks binaries: r-release: smbinning_0.2.tgz
Old sources: smbinning archive