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Provides infrastructure functionalities such as missing value treatment, information value calculation, GINI calculation etc. which are used for developing a traditional credit scorecard as well as a machine learning based model. The functionalities defined are standard steps for any credit underwriting scorecard development, extensively used in financial domain.
| Version: | 0.0.1.0 |
| Imports: | car, e1071, gbm, partykit, randomForest, reshape2, sqldf, stringr, stats, ggplot2, utils |
| Published: | 2019-04-14 |
| DOI: | 10.32614/CRAN.package.scorecardModelUtils |
| Author: | Arya Poddar [aut, cre], Aiana Goyal [ctb], Kanishk Dogar [ctb] |
| Maintainer: | Arya Poddar <aryapoddar290990 at gmail.com> |
| License: | GPL-2 | GPL-3 |
| NeedsCompilation: | no |
| In views: | MissingData |
| CRAN checks: | scorecardModelUtils results |
| Reference manual: | scorecardModelUtils.pdf |
| Package source: | scorecardModelUtils_0.0.1.0.tar.gz |
| Windows binaries: | r-devel: scorecardModelUtils_0.0.1.0.zip, r-release: scorecardModelUtils_0.0.1.0.zip, r-oldrel: scorecardModelUtils_0.0.1.0.zip |
| macOS binaries: | r-release (arm64): scorecardModelUtils_0.0.1.0.tgz, r-oldrel (arm64): scorecardModelUtils_0.0.1.0.tgz, r-release (x86_64): scorecardModelUtils_0.0.1.0.tgz, r-oldrel (x86_64): scorecardModelUtils_0.0.1.0.tgz |
| Old sources: | scorecardModelUtils archive |
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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.