RLT
Reinforcement Learning Trees
Random forest with a variety of additional features for regression, classification and survival analysis. The features include: parallel computing with OpenMP, embedded model for selecting the splitting variable, based on Zhu, Zeng & Kosorok (2015) <doi:10.1080/01621459.2015.1036994>, subject weight, variable weight, tracking subjects used in each tree, etc.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
3.2.6 |
rolling linux/jammy R-4.5 | RLT_3.2.6.tar.gz |
89.2 KiB |
3.2.6 |
rolling linux/noble R-4.5 | RLT_3.2.6.tar.gz |
91.7 KiB |
3.2.6 |
rolling source/ R- | RLT_3.2.6.tar.gz |
50.3 KiB |
3.2.6 |
latest linux/jammy R-4.5 | RLT_3.2.6.tar.gz |
89.2 KiB |
3.2.6 |
latest linux/noble R-4.5 | RLT_3.2.6.tar.gz |
91.7 KiB |
3.2.6 |
latest source/ R- | RLT_3.2.6.tar.gz |
50.3 KiB |
3.2.6 |
2026-04-26 source/ R- | RLT_3.2.6.tar.gz |
50.3 KiB |
3.2.6 |
2026-04-23 source/ R- | RLT_3.2.6.tar.gz |
50.3 KiB |
3.2.6 |
2026-04-09 windows/windows R-4.5 | RLT_3.2.6.zip |
219.1 KiB |
3.2.6 |
2025-04-20 source/ R- | RLT_3.2.6.tar.gz |
50.3 KiB |