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