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>.
Version: 2.1.2 Depends: R (≥ 2.10) Imports: LogicReg, methods, survival Suggests: data.table Published: 2025-07-14 DOI: 10.32614/CRAN.package.LogicForest Author: Bethany Wolf [aut], Melica Nikahd [ctb, cre], Andrew Gothard [ctb], Madison Hyer [ctb] Maintainer: Melica Nikahd <melica.nikahd at osumc.edu> License: GPL-3 NeedsCompilation: no CRAN checks: LogicForest results Documentation: Reference manual: LogicForest.html , LogicForest.pdf Downloads: Package source: LogicForest_2.1.2.tar.gz Windows binaries: r-devel: LogicForest_2.1.2.zip, r-release: LogicForest_2.1.2.zip, r-oldrel: LogicForest_2.1.2.zip macOS binaries: r-release (arm64): LogicForest_2.1.2.tgz, r-oldrel (arm64): LogicForest_2.1.2.tgz, r-release (x86_64): LogicForest_2.1.2.tgz, r-oldrel (x86_64): LogicForest_2.1.2.tgz Old sources: LogicForest archive Linking:Please use the canonical form https://CRAN.R-project.org/package=LogicForest to link to this page.
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