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: 0.1.2
Imports: discretization, sqldf, magrittr, dplyr, methods
Suggests: MASS, rpart, Rmixmod, mvtnorm, ggplot2, speedglm, knitr, rmarkdown, plotly, pROC, shiny, testthat, covr
Published: 2021-01-10
Author: Adrien Ehrhardt [aut, cre]
Maintainer: Adrien Ehrhardt <adrien.ehrhardt at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: scoringTools citation info
Materials: NEWS
CRAN checks: scoringTools results


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_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): scoringTools_0.1.2.tgz, r-oldrel (arm64): scoringTools_0.1.2.tgz, r-release (x86_64): scoringTools_0.1.2.tgz
Old sources: scoringTools archive


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