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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

VersionRepositoryFileSize
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

Dependencies (latest)

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