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.

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Description file content

Package
scorecard
Version
0.2.3
Title
Credit Risk Scorecard
Description
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.
Depends
R (>= 3.1.0)
Imports
data.table (>= 1.10.0), ggplot2, gridExtra, foreach, doParallel, parallel, openxlsx
Suggests
knitr, rmarkdown, pkgdown, testthat
License
MIT + file LICENSE
URL
BugReports
https://github.com/ShichenXie/scorecard/issues
LazyData
true
VignetteBuilder
knitr
RoxygenNote
6.1.1
Encoding
UTF-8
NeedsCompilation
no
Packaged
2019-02-10 16:30:02 UTC; shichenxie
Author
Shichen Xie [aut, cre]
Maintainer
Shichen Xie
Repository
CRAN
Date/Publication
2019-02-10 16:50:03 UTC

install.packages('scorecard')

0.2.3

a month ago

https://github.com/ShichenXie/scorecard

Shichen Xie

MIT + file LICENSE

Depends on

R (>= 3.1.0)

Imports

data.table (>= 1.10.0), ggplot2, gridExtra, foreach, doParallel, parallel, openxlsx

Suggests

knitr, rmarkdown, pkgdown, testthat

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