Cubist: Rule- And Instance-Based Regression Modeling

Regression modeling using rules with added instance-based corrections.

Version: 0.4.4
Depends: lattice
Imports: reshape2, utils
Suggests: covr, dplyr (≥ 0.7.4), knitr, mlbench, modeldata, rlang, rmarkdown, rules, testthat (≥ 3.0.0)
Published: 2024-07-02
DOI: 10.32614/CRAN.package.Cubist
Author: Max Kuhn [aut, cre], Steve Weston [ctb], Chris Keefer [ctb], Nathan Coulter [ctb], Ross Quinlan [aut] (Author of imported C code), Rulequest Research Pty Ltd. [cph] (Copyright holder of imported C code)
Maintainer: Max Kuhn <mxkuhn at>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
In views: MachineLearning
CRAN checks: Cubist results


Reference manual: Cubist.pdf
Vignettes: Cubist Regresion Models


Package source: Cubist_0.4.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): Cubist_0.4.4.tgz, r-oldrel (arm64): Cubist_0.4.4.tgz, r-release (x86_64): Cubist_0.4.4.tgz, r-oldrel (x86_64): Cubist_0.4.4.tgz
Old sources: Cubist archive

Reverse dependencies:

Reverse imports: C50, dendroTools, finnts, geomod, rminer, tsensembler
Reverse suggests: caret, caretForecast, dissever, flowml, fscaret, imputeR, LDLcalc, mlr, pdp, rules, soilassessment, tidypredict, tidyrules, viralx
Reverse enhances: vip


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