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>.

Version:	2.1.2
Depends:	R (≥ 2.10)
Imports:	LogicReg, methods, survival
Suggests:	data.table
Published:	2025-07-14
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:

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