Cubist: Rule- And Instance-Based Regression Modeling

Regression modeling using rules with added instance-based corrections.

Version: 0.2.1
Depends: lattice
Imports: reshape2
Suggests: mlbench, caret, knitr
Published: 2017-12-01
Author: Max Kuhn [aut, cre], Weston Steve [ctb], Keefer Chris [ctb], Coulter Nathan [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_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: Cubist_0.2.1.tgz
OS X Mavericks binaries: r-oldrel: Cubist_0.2.1.tgz
Old sources: Cubist archive

Reverse dependencies:

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


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