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Cubist
View on CRAN: Click
here
Download and install Cubist package within the R console
Install from CRAN:
install.packages("Cubist")
Install from Github:
library("remotes")
install_github("cran/Cubist") Install by package version:
library("remotes")
install_version("Cubist", "0.6.0") Attach the package and use:
library("Cubist")
Maintained by
Max Kuhn
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-04-27
Latest Update: 2025-04-03
Description:
Regression modeling using rules with added instance-based
corrections.
How to cite:
Max Kuhn (2011). Cubist: Rule- And Instance-Based Regression Modeling. R package version 0.6.0, https://cran.r-project.org/web/packages/Cubist. Accessed 08 Oct. 2026.
Previous versions and publish date:
0.0.5 (2011-04-27 20:55), 0.0.6 (2011-04-30 14:40), 0.0.7 (2011-06-02 07:33), 0.0.8 (2011-06-22 08:32), 0.0.11 (2012-02-15 16:50), 0.0.12 (2012-02-29 09:24), 0.0.13 (2013-01-31 18:23), 0.0.15 (2014-01-16 07:05), 0.0.18 (2014-06-07 08:13), 0.0.19 (2016-12-11 12:26), 0.2.0 (2017-11-28 01:16), 0.2.1 (2017-12-02 00:18), 0.2.2 (2018-05-21 19:58), 0.2.3 (2020-01-10 18:50), 0.2.40 (2021-05-10 19:42), 0.3.0 (2021-05-28 17:00), 0.4.0 (2022-02-05 14:40), 0.4.1 (2022-11-09 09:40), 0.4.2.1 (2023-03-09 08:57), 0.4.2 (2023-02-08 22:20), 0.4.4 (2024-07-02 04:40), 0.5.0 (2025-04-03 18:20), 0.5.1 (2025-10-25 07:10), (2026-07-09 08:01)
Other packages that cited Cubist R package
View Cubist citation profile
Other R packages that Cubist depends,
imports, suggests or enhances
Complete documentation for Cubist
Functions, R codes and Examples using
the Cubist R package
Some associated functions: QuinlanAttributes . cubist.default . cubistControl . dotplot.cubist . exportCubistFiles . predict.cubist . summary.cubist .
Some associated R codes: QuinlanAttributes.R . cubist.R . exportCubistFiles.R . formatAttributes.R . lattice.R . makeDataFile.R . makeNamesFile.R . parseCubistModel.R . predict.cubist.R . varUsage.R . Full Cubist package functions and examples
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