Package: LogicForest 2.1.4

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_2.1.4.tar.gz
LogicForest_2.1.4.tar.gz(r-4.7-any)LogicForest_2.1.4.tar.gz(r-4.6-any)
LogicForest_2.1.4.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 1 scripts 252 downloads 4 exports 4 dependencies

Last updated from:aef83fa162. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK122
source / vignettesOK174
linux-release-x86_64OK136
wasm-releaseOK104

Exports:frame.logreg2logforestprime.impproportion.positive

Dependencies:latticeLogicRegMatrixsurvival