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LogicForest

Logic Forest

Logic Forest is an ensemble machine learning method that identifies important and interpretable combinations of binary predictors using logic regression trees to model complex relationships with an outcome. Wolf, B.J., Slate, E.H., Hill, E.G. (2010) <doi:10.1093/bioinformatics/btq354>.

Versions across snapshots

VersionRepositoryFileSize
2.1.4 rolling linux/jammy R-4.5 LogicForest_2.1.4.tar.gz 109.5 KiB
2.1.4 rolling linux/noble R-4.5 LogicForest_2.1.4.tar.gz 109.6 KiB
2.1.4 rolling source/ R- LogicForest_2.1.4.tar.gz 24.0 KiB
2.1.4 latest linux/jammy R-4.5 LogicForest_2.1.4.tar.gz 109.5 KiB
2.1.4 latest linux/noble R-4.5 LogicForest_2.1.4.tar.gz 109.6 KiB
2.1.4 latest source/ R- LogicForest_2.1.4.tar.gz 24.0 KiB
2.1.4 2026-04-26 source/ R- LogicForest_2.1.4.tar.gz 24.0 KiB
2.1.4 2026-04-23 source/ R- LogicForest_2.1.4.tar.gz 24.0 KiB
2.1.4 2026-04-09 windows/windows R-4.5 LogicForest_2.1.4.zip 112.6 KiB
2.1.1 2025-04-20 source/ R- LogicForest_2.1.1.tar.gz 19.5 KiB

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