LogicForest: Logic Forest

Two classification ensemble methods based on logic regression models. LogForest() uses a bagging approach to construct an ensemble of logic regression models. LBoost() uses a combination of boosting and cross-validation to construct an ensemble of logic regression models. Both methods are used for classification of binary responses based on binary predictors and for identification of important variables and variable interactions predictive of a binary outcome. Wolf, B.J., Slate, E.H., Hill, E.G. (2010) <doi:10.1093/bioinformatics/btq354>.

Package details

AuthorBethany Wolf [aut], Melica Nikahd [ctb, cre], Madison Hyer [ctb]
MaintainerMelica Nikahd <melica.nikahd@osumc.edu>
Package repositoryView on CRAN
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LogicForest documentation built on June 22, 2024, 7:05 p.m.