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