Cubist: Rule- And Instance-Based Regression Modeling

Regression modeling using rules with added instance-based corrections.

Version: 0.2.2
Depends: lattice
Imports: reshape2
Suggests: mlbench, caret, knitr
Published: 2018-05-21
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_0.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: Cubist_0.2.2.tgz, r-oldrel: Cubist_0.2.2.tgz
Old sources: Cubist archive

Reverse dependencies:

Reverse imports: C50, dendroTools, rminer, tsensembler
Reverse suggests: caret, dissever, fscaret, imputeR, mlr, pdp


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