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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 gmail.com>
BugReports: https://github.com/topepo/Cubist/issues
License: GPL-3
URL: https://topepo.github.io/Cubist/, https://github.com/topepo/Cubist
NeedsCompilation: yes
Materials: NEWS
In views: MachineLearning
CRAN checks: Cubist results

Documentation:

Reference manual: Cubist.pdf
Vignettes: Cubist Regresion Models

Downloads:

Package source: Cubist_0.4.4.tar.gz
Windows binaries: r-devel: Cubist_0.4.4.zip, r-release: Cubist_0.4.4.zip, r-oldrel: Cubist_0.4.4.zip
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, utsf
Reverse suggests: caret, caretForecast, dissever, flowml, fscaret, imputeR, mlr, pdp, rules, soilassessment, tidypredict, tidyrules, viralmodels, viralx
Reverse enhances: vip

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Cubist to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.