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Native R tools for optimal binning workflows in predictive modeling. The package provides APIs for binary, multi-class and continuous targets, with multi-variable binning and scorecard workflows. Methods are informed by Navas-Palencia (2020) <doi:10.48550/arXiv.2001.08025> and Navas-Palencia (2021) <doi:10.48550/arXiv.2104.08619>.
| Version: | 0.2.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | stats, utils |
| Suggests: | testthat (≥ 3.0.0), jsonlite, lintr, covr |
| Published: | 2026-03-16 |
| DOI: | 10.32614/CRAN.package.optbinningR |
| Author: | S. Rani [aut, cre] |
| Maintainer: | S. Rani <s.rani at live.com> |
| BugReports: | https://github.com/s-rani1/optbinningR/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/s-rani1/optbinningR |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | optbinningR results |
| Reference manual: | optbinningR.html , optbinningR.pdf |
| Package source: | optbinningR_0.2.1.tar.gz |
| Windows binaries: | r-devel: optbinningR_0.2.1.zip, r-release: optbinningR_0.2.1.zip, r-oldrel: optbinningR_0.2.1.zip |
| macOS binaries: | r-release (arm64): optbinningR_0.2.1.tgz, r-oldrel (arm64): optbinningR_0.2.1.tgz, r-release (x86_64): optbinningR_0.2.1.tgz, r-oldrel (x86_64): optbinningR_0.2.1.tgz |
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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.