vtreat
A Statistically Sound 'data.frame' Processor/Conditioner
A 'data.frame' processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. 'vtreat' prepares variables so that data has fewer exceptional cases, making it easier to safely use models in production. Common problems 'vtreat' defends against: 'Inf', 'NA', too many categorical levels, rare categorical levels, and new categorical levels (levels seen during application, but not during training). Reference: "'vtreat': a data.frame Processor for Predictive Modeling", Zumel, Mount, 2016, <DOI:10.5281/zenodo.1173313>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.6.5 |
rolling linux/jammy R-4.5 | vtreat_1.6.5.tar.gz |
1.3 MiB |
1.6.5 |
rolling linux/noble R-4.5 | vtreat_1.6.5.tar.gz |
1.3 MiB |
1.6.5 |
rolling source/ R- | vtreat_1.6.5.tar.gz |
1.5 MiB |
1.6.5 |
latest linux/jammy R-4.5 | vtreat_1.6.5.tar.gz |
1.3 MiB |
1.6.5 |
latest linux/noble R-4.5 | vtreat_1.6.5.tar.gz |
1.3 MiB |
1.6.5 |
latest source/ R- | vtreat_1.6.5.tar.gz |
1.5 MiB |
1.6.5 |
2026-04-26 source/ R- | vtreat_1.6.5.tar.gz |
1.5 MiB |
1.6.5 |
2026-04-23 source/ R- | vtreat_1.6.5.tar.gz |
1.5 MiB |
1.6.5 |
2026-04-09 windows/windows R-4.5 | vtreat_1.6.5.zip |
1.3 MiB |
1.6.5 |
2025-04-20 source/ R- | vtreat_1.6.5.tar.gz |
1.5 MiB |