scorecard: Credit Risk Scorecard

The 'scorecard' package makes the development of credit risk scorecard easier and efficient by providing functions for some common tasks, such as data partition, variable selection, woe binning, scorecard scaling, performance evaluation and report generation. These functions can also used in the development of machine learning models. The references including: 1. Refaat, M. (2011, ISBN: 9781447511199). Credit Risk Scorecard: Development and Implementation Using SAS. 2. Siddiqi, N. (2006, ISBN: 9780471754510). Credit risk scorecards. Developing and Implementing Intelligent Credit Scoring.

Version: 0.3.1
Depends: R (≥ 3.5.0)
Imports: data.table (≥ 1.10.0), ggplot2, gridExtra, foreach, doParallel, parallel, openxlsx, stringi
Suggests: knitr, rmarkdown, pkgdown, testthat
Published: 2020-08-30
Author: Shichen Xie [aut, cre]
Maintainer: Shichen Xie <xie at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: scorecard results


Reference manual: scorecard.pdf
Vignettes: Developing a Credit Scorecard
Package source: scorecard_0.3.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: scorecard_0.3.1.tgz, r-oldrel: scorecard_0.3.1.tgz
Old sources: scorecard archive


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