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autoScorecard: Fully Automatic Generation of Scorecards

Provides an efficient suite of R tools for scorecard modeling, analysis, and visualization. Including equal frequency binning, equidistant binning, K-means binning, chi-square binning, decision tree binning, data screening, manual parameter modeling, fully automatic generation of scorecards, etc. This package is designed to make scorecard development easier and faster. References include: 1. <http://shichen.name/posts/>. 2. Dong-feng Li(Peking University),Class PPT. 3. <https://zhuanlan.zhihu.com/p/389710022>. 4. <https://www.zhangshengrong.com/p/281oqR9JNw/>.

Version: 0.3.0
Depends: R (≥ 2.10)
Imports: infotheo, ROCR, rpart, discretization, stats, graphics, grDevices, corrplot, ggplot2
Suggests: knitr, rmarkdown
Published: 2023-06-13
Author: Tai-Sen Zheng [aut, cre]
Maintainer: Tai-Sen Zheng <jc3802201 at gmail.com>
License: AGPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: autoScorecard results

Documentation:

Reference manual: autoScorecard.pdf
Vignettes: my-vignette

Downloads:

Package source: autoScorecard_0.3.0.tar.gz
Windows binaries: r-devel: autoScorecard_0.3.0.zip, r-release: autoScorecard_0.3.0.zip, r-oldrel: autoScorecard_0.3.0.zip
macOS binaries: r-release (arm64): autoScorecard_0.3.0.tgz, r-oldrel (arm64): autoScorecard_0.3.0.tgz, r-release (x86_64): autoScorecard_0.3.0.tgz, r-oldrel (x86_64): autoScorecard_0.3.0.tgz
Old sources: autoScorecard archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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