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rules  

Model Wrappers for Rule-Based Models
View on CRAN: Click here


Download and install rules package within the R console
Install from CRAN:
install.packages("rules")

Install from Github:
library("remotes")
install_github("cran/rules")

Install by package version:
library("remotes")
install_version("rules", "1.0.2")



Attach the package and use:
library("rules")
Maintained by
Emil Hvitfeldt
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-20
Latest Update: 2023-03-08
Description:
Bindings for additional models for use with the 'parsnip' package. Models include prediction rule ensembles (Friedman and Popescu, 2008) , C5.0 rules (Quinlan, 1992 ISBN: 1558602380), and Cubist (Kuhn and Johnson, 2013) .
How to cite:
Emil Hvitfeldt (2020). rules: Model Wrappers for Rule-Based Models. R package version 1.0.2, https://cran.r-project.org/web/packages/rules. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:54), 0.0.1 (2020-05-20 17:00), 0.0.2 (2020-06-10 15:30), 0.0.3 (2020-10-02 06:10), 0.1.0 (2020-10-28 06:30), 0.1.1 (2021-01-16 16:50), 0.1.2 (2021-08-08 01:10), 0.2.0 (2022-03-14 19:10), 1.0.0 (2022-06-23 15:00), 1.0.1 (2023-01-17 09:20), 1.0.2 (2023-03-09 00:40)
Other packages that cited rules R package
View rules citation profile
Other R packages that rules depends, imports, suggests or enhances
Complete documentation for rules
Functions, R codes and Examples using the rules R package
Some associated functions: committees . multi_predict . reexports . rules-internal . rules-package . tidy.cubist . 
Some associated R codes: C5_rules.R . C5_rules_data.R . cubist_rules.R . cubist_rules_data.R . rule_fit.R . rule_fit_data.R . rules-package.R . tidy_C5.0.R . tidy_cubist.R . tidy_xrf.R . zzz.R .  Full rules package functions and examples
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