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RegEnRF

Regression-Enhanced Random Forests

A novel generalized Random Forest method, that can improve on RFs by borrowing the strength of penalized parametric regression. Based on Zhang et al. (2019) <doi:10.48550/arXiv.1904.10416>.

Versions across snapshots

VersionRepositoryFileSize
1.0.0 rolling linux/jammy R-4.5 RegEnRF_1.0.0.tar.gz 22.3 KiB
1.0.0 rolling linux/noble R-4.5 RegEnRF_1.0.0.tar.gz 22.3 KiB
1.0.0 rolling source/ R- RegEnRF_1.0.0.tar.gz 13.1 KiB
1.0.0 latest linux/jammy R-4.5 RegEnRF_1.0.0.tar.gz 22.3 KiB
1.0.0 latest linux/noble R-4.5 RegEnRF_1.0.0.tar.gz 22.3 KiB
1.0.0 latest source/ R- RegEnRF_1.0.0.tar.gz 13.1 KiB
1.0.0 2026-04-26 source/ R- RegEnRF_1.0.0.tar.gz 13.1 KiB
1.0.0 2026-04-23 source/ R- RegEnRF_1.0.0.tar.gz 13.1 KiB
1.0.0 2026-04-09 windows/windows R-4.5 RegEnRF_1.0.0.zip 25.9 KiB

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