Package: LogicForest 2.1.5

Melica Nikahd

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>.

Authors:Bethany Wolf [aut], Melica Nikahd [ctb, cre], Andrew Gothard [ctb], Madison Hyer [ctb]

LogicForest_2.1.5.tar.gz
LogicForest_2.1.5.zip(r-4.7-any)LogicForest_2.1.5.zip(r-4.6-any)
LogicForest_2.1.5.tar.gz(r-4.7-any)LogicForest_2.1.5.tar.gz(r-4.6-any)
LogicForest_2.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
LogicForest/json (API)

# Install 'LogicForest' in R:
install.packages('LogicForest', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.48 score 1 stars 371 downloads 4 exports 4 dependencies

Last updated from:bad144d553. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK119
source / vignettesOK168
linux-releaseOK129
windows-develOK75
windows-releaseOK78
wasm-releaseOK101

Exports:frame.logreg2logforestprime.impproportion.positive

Dependencies:latticeLogicRegMatrixsurvival