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: 0.4.4 Depends: R (≥ 3.5.0) Imports: data.table (≥ 1.10.0), ggplot2, gridExtra, foreach, doParallel, parallel, openxlsx, stringi, cli, xml2, xefun (≥ 0.1.3) Suggests: knitr, rmarkdown, pkgdown, testthat Published: 2024-04-13 DOI: 10.32614/CRAN.package.scorecard 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, http://shichen.name/scorecard/ NeedsCompilation: no Materials: README NEWS CRAN checks: scorecard results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=scorecard to link to this page.
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