Package: Rfuzzycoco 0.1.0

Karl Forner

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.

Authors:Karl Forner [aut, cre]

Rfuzzycoco_0.1.0.tar.gz
Rfuzzycoco_0.1.0.zip(r-4.7)Rfuzzycoco_0.1.0.zip(r-4.6)Rfuzzycoco_0.1.0.zip(r-4.5)
Rfuzzycoco_0.1.0.tgz(r-4.6-x86_64)Rfuzzycoco_0.1.0.tgz(r-4.6-arm64)Rfuzzycoco_0.1.0.tgz(r-4.5-x86_64)Rfuzzycoco_0.1.0.tgz(r-4.5-arm64)
Rfuzzycoco_0.1.0.tar.gz(r-4.7-arm64)Rfuzzycoco_0.1.0.tar.gz(r-4.7-x86_64)Rfuzzycoco_0.1.0.tar.gz(r-4.6-arm64)Rfuzzycoco_0.1.0.tar.gz(r-4.6-x86_64)
Rfuzzycoco_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
Rfuzzycoco/json (API)

# Install 'Rfuzzycoco' in R:

install.packages('Rfuzzycoco', repos = c('https://lonza-rnd-data-science.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/lonza-rnd-data-science/rfuzzycoco/issues

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

cpp

4.30 score 1 stars 3 scripts 157 downloads 20 exports 2 dependencies

Last updated from:c7267ec519. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	200
linux-devel-x86_64	OK	198
source / vignettes	OK	291
linux-release-arm64	OK	185
linux-release-x86_64	OK	213
macos-release-arm64	OK	190
macos-release-x86_64	OK	389
macos-oldrel-arm64	OK	240
macos-oldrel-x86_64	OK	285
windows-devel	OK	162
windows-release	OK	180
windows-oldrel	OK	180
wasm-release	OK	160

Exports:compute_optimal_quantile_fuzzy_set_positions evaluate evaluate_fuzzy_system example_iris_binary_categorical example_iris36 example_mtcars fit fit_to_df fit_xy fs_rules_to_df fs_used_vars_to_df fuzzy_coco_parsnip fuzzy_coco_parsnip_wrapper fuzzy_coco_systematic_fit fuzzycoco fuzzycoco_fit_df_hybrid params predict_fuzzy_system stop_engine_if_stalling stop_engine_on_first_of

Dependencies:generics Rcpp

Getting started

Rendered fromgetting_started.Rmdusingknitr::rmarkdown

Last update: 2025-10-16
Started: 2025-09-02

Help page	Topics
Rfuzzycoco: Provides an R Interface to the 'FuzzyCoCo' C++ Library and Extends It	Rfuzzycoco-package Rfuzzycoco
computes the optimal fuzzy set positions based on the distribution of the data	compute_optimal_quantile_fuzzy_set_positions
evaluate the fuzzy system from a fit on some given data	evaluate_fuzzy_system
evaluate the fuzzy system from a fit on some given data	evaluate.fuzzycoco_fit
model parameters and data for the IRIS36 classification example	example_iris_binary_categorical
model parameters and data for the IRIS36 classification example	example_iris36
model parameters and data for the mtcars regression example	example_mtcars
a one-row overview of a fuzzy system with the usage of variables, the fitness, number of generations and optionally a metric	fit_to_df
fit the FuzzyCoco model using the dataframe interface	fit_xy.fuzzycoco_model
fit the FuzzyCoco model using the formula interface	fit.fuzzycoco_model
format the fuzzy rules as a data frame	fs_rules_to_df
extract the usage of the variables by a fuzzy system	fs_used_vars_to_df
parsnip model function	fuzzy_coco_parsnip
systematic search	fuzzy_coco_systematic_fit
creates a model for the Fuzzy Coco algorithm	fuzzycoco
lowest-level implementation of the fitting of a fuzzy coco model using the hybrid engine	fuzzycoco_fit_df_hybrid
utility to build the Fuzzy Coco parameters data structure	params
predict the outcome of a fuzzy system on some input data	predict_fuzzy_system
predict the outcome on some input data using a fitted model	predict.fuzzycoco_fit
an utility function to easily generate a stop function that stops when the convergence is stalling	stop_engine_if_stalling
an utility function to easily generate the commonly used 'until' parameter, as used by 'fuzzycoco_fit_df_hybrid()'	stop_engine_on_first_of

Package: Rfuzzycoco 0.1.0

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

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)