Rforestry
Random Forests, Linear Trees, and Gradient Boosting for Inference and Interpretability
Provides fast implementations of Random Forests, Gradient Boosting, and Linear Random Forests, with an emphasis on inference and interpretability. Additionally contains methods for variable importance, out-of-bag prediction, regression monotonicity, and several methods for missing data imputation.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.11.1.0 |
rolling linux/jammy R-4.5 | Rforestry_0.11.1.0.tar.gz |
362.6 KiB |
0.11.1.0 |
rolling linux/noble R-4.5 | Rforestry_0.11.1.0.tar.gz |
370.7 KiB |
0.11.1.0 |
rolling source/ R- | Rforestry_0.11.1.0.tar.gz |
93.7 KiB |
0.11.1.0 |
latest linux/jammy R-4.5 | Rforestry_0.11.1.0.tar.gz |
362.6 KiB |
0.11.1.0 |
latest linux/noble R-4.5 | Rforestry_0.11.1.0.tar.gz |
370.7 KiB |
0.11.1.0 |
latest source/ R- | Rforestry_0.11.1.0.tar.gz |
93.7 KiB |
0.11.1.0 |
2026-04-26 source/ R- | Rforestry_0.11.1.0.tar.gz |
93.7 KiB |
0.11.1.0 |
2026-04-23 source/ R- | Rforestry_0.11.1.0.tar.gz |
93.7 KiB |
0.11.1.0 |
2026-04-09 windows/windows R-4.5 | Rforestry_0.11.1.0.zip |
675.6 KiB |
0.11.1.0 |
2025-04-20 source/ R- | Rforestry_0.11.1.0.tar.gz |
93.7 KiB |