Package: LogicForest
Title: Logic Forest
Version: 2.1.4
Authors@R: c(person("Bethany", "Wolf", email = "wolf@musc.edu", role = "aut"), person("Melica", "Nikahd", email = "melica.nikahd@osumc.edu", role = c("ctb", "cre")), person("Andrew", "Gothard", email = "andrew.gothard@osumc.edu", role = "ctb"), person("Madison", "Hyer", email = "madison.hyer@osumc.edu", role = "ctb"))
Depends: R (>= 2.10)
Imports: LogicReg, methods, survival, utils
Suggests: data.table
Description: 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>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.1
NeedsCompilation: no
Packaged: 2026-04-03 14:59:34 UTC; nika02
Author: Bethany Wolf [aut],
  Melica Nikahd [ctb, cre],
  Andrew Gothard [ctb],
  Madison Hyer [ctb]
Maintainer: Melica Nikahd <melica.nikahd@osumc.edu>
Repository: CRAN
Date/Publication: 2026-04-03 15:20:02 UTC
Built: R 4.5.2; ; 2026-04-08 01:37:36 UTC; unix
