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Rfuzzycoco: Provides an R Interface to the 'FuzzyCoCo' C++ Library and Extends It

Provides and extends the 'Fuzzy Coco' algorithm by wrapping the 'FuzzyCoCo' 'C++' Library, cf <https://github.com/Lonza-RND-Data-Science/fuzzycoco>. 'Fuzzy Coco' constructs systems that predict the outcome of a human decision-making process while providing an understandable explanation of a possible reasoning leading to it. The constructed fuzzy systems are composed of rules and linguistic variables. This package provides a 'S3' classic interface (fit_xy()/fit()/predict()/evaluate()) and a 'tidymodels'/'parsnip' interface, a custom engine with custom iteration stop criterion and progress bar support as well as a systematic implementation that do not rely on genetic programming but rather explore all possible combinations.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: generics, methods, Rcpp, stats, utils
LinkingTo: Rcpp
Suggests: knitr, parsnip, progressr, rlang, rmarkdown, testthat
Published: 2025-10-21
DOI: 10.32614/CRAN.package.Rfuzzycoco (may not be active yet)
Author: Karl Forner [aut, cre]
Maintainer: Karl Forner <karl.forner at gmail.com>
BugReports: https://github.com/Lonza-RND-Data-Science/Rfuzzycoco/issues
License: GPL (≥ 3)
URL: https://github.com/Lonza-RND-Data-Science/Rfuzzycoco
NeedsCompilation: yes
SystemRequirements: C++17
Materials: README, NEWS
CRAN checks: Rfuzzycoco results

Documentation:

Reference manual: Rfuzzycoco.html , Rfuzzycoco.pdf
Vignettes: Getting started (source, R code)

Downloads:

Package source: Rfuzzycoco_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: Rfuzzycoco_0.1.0.zip, r-oldrel: Rfuzzycoco_0.1.0.zip
macOS binaries: r-release (arm64): Rfuzzycoco_0.1.0.tgz, r-oldrel (arm64): Rfuzzycoco_0.1.0.tgz, r-release (x86_64): Rfuzzycoco_0.1.0.tgz, r-oldrel (x86_64): Rfuzzycoco_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.