smbinning: Optimal Binning for Scoring Modeling

The main purpose of the package is to categorize a numeric variable into bins mapped to a binary target variable for its ulterior usage in scoring modeling. This functionality reduces dramatically the time consuming process of finding the optimal cut points for a given numeric variable, quickly calculates the Information Value, either for one variable at the time or all at once in one line of code; and also outputs 'SQL' codes, tables, and plots used throughout the development stage. The package also allows the user to understand the data via exploratory data analysis in one step, establish customized cut points for numeric characteristics, and run the analysis for categorical variables.

Version: 0.3
Depends: R (≥ 3.1.2), sqldf, partykit, Formula
Imports: gsubfn
Published: 2016-06-20
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_0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: smbinning_0.3.tgz
OS X Mavericks binaries: r-oldrel: smbinning_0.3.tgz
Old sources: smbinning archive


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