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:
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✨
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:aef83fa162. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 125 | ||
| source / vignettes | OK | 162 | ||
| linux-release-x86_64 | OK | 104 | ||
| wasm-release | OK | 94 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Building Interactions | build.interactions |
| Logic Forest & Logic Survival Forest | logforest |
| Predict Outcomes Using a Logic Forest Model | predict.logforest |
| Print Method for Logic Forest Predictions | print.LFprediction |
| Print Method for Logic Forest Models | print.logforest |