Package: EPX 1.0.4
EPX: Ensemble of Phalanxes
An ensemble method for the statistical detection of a rare class in two-class classification problems. The method uses an ensemble of classifiers where the constituent models of the ensemble use disjoint subsets (phalanxes) of explanatory variables. We provide an implementation of the phalanx-formation algorithm. Please see Tomal et al. (2015) <doi:10.1214/14-AOAS778>, Tomal et al. (2016) <doi:10.1021/acs.jcim.5b00663>, and Tomal et al. (2019) <arxiv:1706.06971> for more details.
Authors:
EPX_1.0.4.tar.gz
EPX_1.0.4.zip(r-4.5)EPX_1.0.4.zip(r-4.4)EPX_1.0.4.zip(r-4.3)
EPX_1.0.4.tgz(r-4.4-x86_64)EPX_1.0.4.tgz(r-4.4-arm64)EPX_1.0.4.tgz(r-4.3-x86_64)EPX_1.0.4.tgz(r-4.3-arm64)
EPX_1.0.4.tar.gz(r-4.5-noble)EPX_1.0.4.tar.gz(r-4.4-noble)
EPX_1.0.4.tgz(r-4.4-emscripten)EPX_1.0.4.tgz(r-4.3-emscripten)
EPX.pdf |EPX.html✨
EPX/json (API)
| # Install 'EPX' in R: |
| install.packages('EPX', repos = c('https://jhtomal.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 3 years agofrom:a1859e1e5b. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 13 2024 |
| R-4.5-win-x86_64 | OK | Nov 13 2024 |
| R-4.5-linux-x86_64 | OK | Nov 13 2024 |
| R-4.4-win-x86_64 | OK | Nov 13 2024 |
| R-4.4-mac-x86_64 | OK | Nov 13 2024 |
| R-4.4-mac-aarch64 | OK | Nov 13 2024 |
| R-4.3-win-x86_64 | OK | Nov 13 2024 |
| R-4.3-mac-x86_64 | OK | Nov 13 2024 |
| R-4.3-mac-aarch64 | OK | Nov 13 2024 |
Exports:AHRcv.epxepxhit.curveIERKLTOP1
Dependencies:codetoolsdigestdoParalleldoRNGforeachiteratorsnnetrandomForestrngtools
