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:Jabed Tomal [aut, cre], Grace Hsu [aut], William Welch [aut], Marcia Wang [ctb]

EPX_1.0.4.tar.gz
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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'))
Datasets:
  • BNhold - AID348 hold-out data using Burden Numbers for testing the EPX package
  • BNsample - AID348 sample (training) data with Burden Numbers for testing the EPX package
  • harvest - Simulated dataset for testing the EPX package

On CRAN:

Conda:

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

2.00 score 1 scripts 261 downloads 1 mentions 7 exports 9 dependencies

Last updated 4 years agofrom:a1859e1e5b. Checks:12 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 13 2025
R-4.5-win-x86_64OKMar 13 2025
R-4.5-mac-x86_64OKMar 13 2025
R-4.5-mac-aarch64OKMar 13 2025
R-4.5-linux-x86_64OKMar 13 2025
R-4.4-win-x86_64OKMar 13 2025
R-4.4-mac-x86_64OKMar 13 2025
R-4.4-mac-aarch64OKMar 13 2025
R-4.4-linux-x86_64OKMar 13 2025
R-4.3-win-x86_64OKMar 13 2025
R-4.3-mac-x86_64OKMar 13 2025
R-4.3-mac-aarch64OKMar 13 2025

Exports:AHRcv.epxepxhit.curveIERKLTOP1

Dependencies:codetoolsdigestdoParalleldoRNGforeachiteratorsnnetrandomForestrngtools

How to use the EPX package

Rendered fromEPX_2021.Rnwusingutils::Sweaveon Mar 13 2025.

Last update: 2021-07-06
Started: 2021-07-06