https://lonza-rnd-data-science.r-universe.devRecent package updates in lonza-rnd-data-scienceR-universehttps://github.com/lonza-rnd-data-science.pnghttps://lonza-rnd-data-science.r-universe.devThu, 16 Oct 2025 13:10:03 GMTkarl.forner@gmail.com (Karl Forner)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.https://github.com/r-universe/lonza-rnd-data-science/actions/runs/27817060376Thu, 16 Oct 2025 13:10:03 GMTRfuzzycoco0.1.0successhttps://lonza-rnd-data-science.r-universe.devhttps://github.com/lonza-rnd-data-science/rfuzzycocogetting_started.Rmdgetting_started.htmlGetting started2025-09-02 17:34:132025-10-16 13:10:03