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 |
| Reference manual: | Rprofet.pdf |
| 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: Rprofet_2.2.1.tgz, r-oldrel: Rprofet_2.2.1.tgz |
| Old sources: | Rprofet archive |
Please use the canonical form https://CRAN.R-project.org/package=Rprofet to link to this page.