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: 0.2.5
Depends: R (≥ 3.1.0)
Imports: data.table (≥ 1.10.0), ggplot2, gridExtra, foreach, doParallel, parallel, openxlsx
Suggests: knitr, rmarkdown, pkgdown, testthat
Published: 2019-07-04
Author: Shichen Xie [aut, cre]
Maintainer: Shichen Xie <xie at shichen.name>
BugReports: https://github.com/ShichenXie/scorecard/issues
License: MIT + file LICENSE
URL: https://github.com/ShichenXie/scorecard
NeedsCompilation: no
Materials: README NEWS
CRAN checks: scorecard results

Downloads:

Reference manual: scorecard.pdf
Vignettes: Developing a Credit Scorcard
Package source: scorecard_0.2.5.tar.gz
Windows binaries: r-devel: scorecard_0.2.5.zip, r-release: scorecard_0.2.5.zip, r-oldrel: scorecard_0.2.5.zip
OS X binaries: r-release: scorecard_0.2.5.tgz, r-oldrel: scorecard_0.2.5.tgz
Old sources: scorecard archive

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