scoringTools: Credit Scoring Tools

Grouping essential tools for credit scoring. These statistical tools may be useful for other use-cases as well but were primarily designed for it. First, there are Reject Inference methods (Ehrhardt et al. (2017) <arXiv:1903.10855>). Second, we build upon the already CRAN-available package 'discretization' to automate discretization of continuous features.

Version: 0.1.1
Imports: discretization, sqldf, magrittr, dplyr, methods
Suggests: MASS, rpart, Rmixmod, mvtnorm, ggplot2, speedglm, knitr, rmarkdown, plotly, pROC, shiny, testthat, covr
Published: 2020-10-27
Author: Adrien Ehrhardt [aut, cre]
Maintainer: Adrien Ehrhardt <adrien.ehrhardt at centraliens-lille.org>
BugReports: https://github.com/adimajo/scoringTools/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://adimajo.github.io/scoringTools/
NeedsCompilation: no
Citation: scoringTools citation info
Materials: NEWS
CRAN checks: scoringTools results

Downloads:

Reference manual: scoringTools.pdf
Vignettes: Appendix: tree biasedness
Figure 1: CEM algorithm
Figure 2: MAR well-specified
Figure 3: MAR misspecified
'scoringTools' package
Package source: scoringTools_0.1.1.tar.gz
Windows binaries: r-devel: scoringTools_0.1.1.zip, r-release: scoringTools_0.1.1.zip, r-oldrel: scoringTools_0.1.1.zip
macOS binaries: r-release: scoringTools_0.1.1.tgz, r-oldrel: scoringTools_0.1.1.tgz
Old sources: scoringTools archive

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