optbinningR
Optimal Binning Methods for Predictive Modeling and Analytics
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.1 |
rolling linux/jammy R-4.5 | optbinningR_0.2.1.tar.gz |
815.4 KiB |
0.2.1 |
rolling linux/noble R-4.5 | optbinningR_0.2.1.tar.gz |
815.4 KiB |
0.2.1 |
rolling source/ R- | optbinningR_0.2.1.tar.gz |
593.4 KiB |
0.2.1 |
latest linux/jammy R-4.5 | optbinningR_0.2.1.tar.gz |
815.4 KiB |
0.2.1 |
latest linux/noble R-4.5 | optbinningR_0.2.1.tar.gz |
815.4 KiB |
0.2.1 |
latest source/ R- | optbinningR_0.2.1.tar.gz |
593.4 KiB |
0.2.1 |
2026-04-26 source/ R- | optbinningR_0.2.1.tar.gz |
593.4 KiB |
0.2.1 |
2026-04-23 source/ R- | optbinningR_0.2.1.tar.gz |
593.4 KiB |
0.2.1 |
2026-04-09 windows/windows R-4.5 | optbinningR_0.2.1.zip |
822.8 KiB |