#' epimatch.
#'
#' Find matching patient records across tabular datasets
#'
#' @description This package provides an interactive way to visualize
#' potentially duplicated records across tabular data sets by calculating
#' dissimilarity scores on user-specified columns in the data.
#'
#' @section Running the User Interface: The user interface can be invoked with
#' the function \code{\link{launch}}. This will launch the app in your
#' browser.
#'
#' @section Backend: The backend to the user interface is a modular set of
#' functions that can calculate dissimilarity scores on any column(s) of the
#' data. Once dissimilarity scores are calculated, they are given weights
#' based on importance, summed, and scaled from zero to one. This resulting
#' matrix is traversed, and indices below the given threshold are returned.
#'
#' @section Wrapper Functions:
#'
#' The wrapper functions provide a way to programmatically execute the
#' distance functions on the data. They retun a list of matrices and a list of
#' matching indices, respectively.
#'
#' \itemize{
#' \item \code{\link{processFunctionList}}
#' \item \code{\link{matchEpiData}}
#' }
#'
#' @section Dissimilarity Functions: Each dissimilarity function returns a
#' distance matrix scaled from 0 to 1 where 0 indicates a perfect match and 1
#' indicates no match. The following distances are available:
#'
#' \itemize{
#' \item \code{\link{ageDists}}
#' \item \code{\link{dateDists}}
#' \item \code{\link{genderDists}}
#' \item \code{\link{genericDists}}
#' \item \code{\link{locationDists}}
#' \item \code{\link{nameDists}}
#' }
#'
#' @section Matrix Summary Functions:
#'
#' Once matrices are computed and stored in a list, they have weights applied,
#' and are summed. When summing, missing values are given a custom defined
#' weight (default 0.5). The following functions work with the matrices:
#'
#' \itemize{
#' \item \code{\link{collapseDistMatrices}}
#' \item \code{\link{returnMatches}}
#' }
#'
#' @name epimatch
#' @docType package
NULL
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