rules: Model Wrappers for Rule-Based Models

Bindings for additional models for use with the 'parsnip' package. Models include prediction rule ensembles (Friedman and Popescu, 2008) <doi:10.1214/07-AOAS148>, C5.0 rules (Quinlan, 1992 ISBN: 1558602380), and Cubist (Kuhn and Johnson, 2013) <doi:10.1007/978-1-4614-6849-3>.

Version: 1.0.2
Depends: parsnip (≥ 0.2.1.9004), R (≥ 3.4)
Imports: dials (≥ 0.1.1.9001), dplyr, generics (≥ 0.1.0), purrr, rlang, stats, stringr, tidyr, utils
Suggests: C50, covr, Cubist, knitr, modeldata, recipes, rmarkdown, spelling, testthat (≥ 3.0.0), tibble, xrf (≥ 0.2.0)
Published: 2023-03-08
Author: Emil Hvitfeldt ORCID iD [aut, cre], Max Kuhn ORCID iD [aut], Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt at posit.co>
BugReports: https://github.com/tidymodels/rules/issues
License: MIT + file LICENSE
URL: https://github.com/tidymodels/rules, https://rules.tidymodels.org/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: rules results

Documentation:

Reference manual: rules.pdf

Downloads:

Package source: rules_1.0.2.tar.gz
Windows binaries: r-devel: rules_1.0.2.zip, r-release: rules_1.0.2.zip, r-oldrel: rules_1.0.2.zip
macOS binaries: r-release (arm64): rules_1.0.2.tgz, r-oldrel (arm64): rules_1.0.2.tgz, r-release (x86_64): rules_1.0.2.tgz
Old sources: rules archive

Reverse dependencies:

Reverse imports: finnts
Reverse suggests: tidyAML, viruslearner

Linking:

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