#' catRpillar: Functions for handling data from categorisation experiments
#'
#' The catRpillar package provides functions to process categorisation data according to different approaches.
#'
#' @section Signal Detection Theory:
#' The \code{\link{dprime}} function returns sensitivity and criterion (bias) measures according to the Signal Detection Theory.
#'
#' @section Choice Theory:
#' The \code{\link{ChoiceTheory}} function return sensitivity and bias measures according to the Choice Theory.
#'
#' @section FITA:
#' The \code{\link{fita}} and \code{\link{confusion.matrix}} functions offer analysis tools according to the Feature Information Transmission Analysis approach.
#'
#' @author Etienne Gaudrain, \email{etienne.gaudrain@@cnrs.fr}
#'
#' @docType package
#' @name catRpillar
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