ClassificationEnsembles: Automatically Builds 12 Classification Models (6 Individual and 6 Ensembles of Models) from Classification Data

Automatically builds 12 classification models from data. The package also returns 25 plots, 5 tables and a summary report.

Version: 1.0.0
Depends: C50, car, caret, corrplot, doParallel, dplyr, e1071, ggplot2, gt, ipred, MachineShop, magrittr, parallel, pls, purrr, R (≥ 3.5), randomForest, ranger, reactable, reactablefmtr, scales, tidyr, tree
Suggests: knitr, rmarkdown
Published: 2026-02-15
DOI: 10.32614/CRAN.package.ClassificationEnsembles
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte at mac.com>
BugReports: https://github.com/InfiniteCuriosity/ClassificationEnsembles/issues
License: MIT + file LICENSE
URL: https://github.com/InfiniteCuriosity/ClassificationEnsembles
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: ClassificationEnsembles results

Documentation:

Reference manual: ClassificationEnsembles.html , ClassificationEnsembles.pdf
Vignettes: ClassificationEnsembles-vignette (source)

Downloads:

Package source: ClassificationEnsembles_1.0.0.tar.gz
Windows binaries: r-devel: ClassificationEnsembles_0.7.1.zip, r-release: ClassificationEnsembles_0.7.1.zip, r-oldrel: ClassificationEnsembles_0.7.1.zip
macOS binaries: r-release (arm64): ClassificationEnsembles_0.7.1.tgz, r-oldrel (arm64): ClassificationEnsembles_0.7.1.tgz, r-release (x86_64): ClassificationEnsembles_0.7.1.tgz, r-oldrel (x86_64): ClassificationEnsembles_0.7.1.tgz
Old sources: ClassificationEnsembles archive

Linking:

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