SDEFSR: Subgroup Discovery Algorithms for R

#' SDEFSR: A package for Subgroup Discovery with Evolutionary Fuzzy Systems in R
#'
#' @description The SDEFSR package provide a tool for read KEEL datasets and four evolutionary fuzzy rule-based 
#' algorithms for subgroup discovery. 
#' 
#' @details The algorithms provided works with datasets in KEEL, ARFF or CSV format and also with \code{data.frame} objects.
#'    
#'    The package also provide a Shiny app for making the same tasks that the package can do
#'    and can display some additional information about data for making an exploratory analysis.
#'    
#'    The algorithms provided are Evolutionary Fuzzy Systems (EFS) which take advantages of evolutionary algorithms 
#'    for maximize more than one quality measure and fuzzy logic, which makes a representation of numerical variables that are
#'    more understandable for humans and more robust to noise. 
#'    
#'    The algorithms in the SDEFSR package support target variable with more than two values. However, this target variables
#'    must be categorical. Thus, if you have a numeric target variable, a discretization must be perfomed before executing the
#'    method.
#' 
#'   
#' @section SDEFSR functions:
#' \itemize{
#'   \item{\code{\link{MESDIF}}                 Multiobjective Evolutionary Subgroup DIscovery Fuzzy rules (MESDIF) Algorithm.}
#'   \item{\code{\link{NMEEF_SD}}               Non-dominated Multi-objective Evolutionary algorithm for Extracting Fuzzy rules in Subgroup Discovery (NMEEF-SD).}
#'   \item{\code{\link{read.dataset}}           reads a KEEL, ARFF or CSV format file.}
#'   \item{\code{\link{SDIGA}}                  Subgroup Discovery Iterative Genetic Algorithm (SDIGA).}
#'   \item{\code{\link{SDEFSR_GUI}}}               Launch the Shiny app in your browser.
#'   \item{\code{\link{FUGEPSD}}                Fuzzy Genetic Programming-based learning for Subgroup Discovery (FuGePSD) Algorithm.}
#'   \item{\code{\link{plotRules}}              Plot the discovered rules by a SDEFSR algorithm.}
#'   \item{\code{\link{sort.SDEFSR_Rules}}             Sort the discovered rules by a given quality measure.}
#'   \item{\code{\link{SDEFSR_DatasetFromDataFrame}}   Reads a data.frame and create a \code{SDEFSR_Dataset} object to be execute by an algorithm of this package.}
#' }
#'
#' @author Angel M. Garcia-Vico <agvico@@ujaen.es>
#' @import methods
#' @import parallel
#' @import stats
#' @import utils
#' @docType package
#' @name SDEFSR
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