Rprofet: WOE Transformation and Scorecard Builder

Performs all steps in the credit scoring process. This package allows the user to follow all the necessary steps for building an effective scorecard. It provides the user functions for coarse binning of variables, Weights of Evidence (WOE) transformation, variable clustering, custom binning, visualization, and scaling of logistic regression coefficients. The results will generate a scorecard that can be used as an effective credit scoring tool to evaluate risk. For complete details on the credit scoring process, see Siddiqi (2005, ISBN:047175451X).

Version: 2.2.1
Imports: binr, ClustOfVar, ggplot2, gridExtra, plyr, sqldf, stringr
Suggests: ISLR, MASS
Published: 2020-04-01
Author: Thomas Brandenburger [cre], Eric Stratman [aut], Riaz Khan [aut], Allison Lempola [aut]
Maintainer: Thomas Brandenburger <thomas.brandenburger at sdstate.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: Rprofet results

Documentation:

Reference manual: Rprofet.pdf

Downloads:

Package source: Rprofet_2.2.1.tar.gz
Windows binaries: r-devel: Rprofet_2.2.1.zip, r-release: Rprofet_2.2.1.zip, r-oldrel: Rprofet_2.2.1.zip
macOS binaries: r-release (arm64): Rprofet_2.2.1.tgz, r-oldrel (arm64): Rprofet_2.2.1.tgz, r-release (x86_64): Rprofet_2.2.1.tgz, r-oldrel (x86_64): Rprofet_2.2.1.tgz
Old sources: Rprofet archive

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