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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.
Getting started
Package overview
Credit Scoring Tools: the `scoringTools` package
Supplementary material for ``Reject Inference in Credit Scoring: a rationale review'': Figure 1
Supplementary material for ``Reject Inference in Credit Scoring: a rationale review'': Figure 2
Supplementary material for ``Reject Inference in Credit Scoring: a rationale review'': Figure 3
Supplementary material for ``Reject Inference in Credit Scoring: a rationale review'': tree biasedness
Browse package contents
Package details |
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| Author | Adrien Ehrhardt [aut, cre] |
| Maintainer | Adrien Ehrhardt <adrien.ehrhardt@centraliens-lille.org> |
| License | GPL (>= 2) |
| Version | 0.1.2 |
| URL | https://adimajo.github.io/scoringTools/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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