#' #' An S4 class to represent individual D-score data
#' #'
#' #' The \code{individualDS} class stores individual milestone 0/1 data
#' #' and calculates the D-score and DAZ.
#' #' @slot mst An numeric \code{matrix} or a \code{data.frame} with
#' #' milestone responses data.
#' #' The matrix should contain a column indicating age of measurement
#' #' for each row, and columns with 0/1/NA responses on
#' #' milestones. Colomn names of milestones must adhere to the 9-position
#' #' GSED milestones naming convention.
#' #' @slot dfa D-score for age in D-units (\code{xyz})
#' #' @slot xname Name of the age variable
#' #' @slot xunit Time unit of the age variable
#' #' @slot key The conversion key for the D-score
#' #' @slot population The reference population for DAZ calculation
#' #' @seealso \code{\link{xyz-class}}, \code{\link[dscore]{dscore}}
#' #' @author Stef van Buuren 2019
#' #' @keywords classes
#' #' @export
#' setClass("individualDS",
#' slots = c(
#' mst = "data.frame",
#' dfa = "xyz",
#' xname = "character",
#' xunit = "character",
#' key = "character",
#' population = "character"),
#' prototype = list(
#' mst = data.frame(),
#' dfa = new("xyz"),
#' xname = "age",
#' xunit = "decimal",
#' key = "gsed",
#' population = "gcdg"
#' )
#' )
# setMethod(
# "initialize", "individualDS",
# function (.Object, mst, dfa, ...) {
#
# # convert to numeric, do nothing if data has no rows
# if (missing(mst))
# .Object@mst <- data.frame(age = numeric(0))
# else
# .Object@mst <- mst
#
# if (missing(dfa)) {
# # calculate the D-score
# .Object@dfa <- new("xyz", yname = "dfa", ...)
# #d <- dscore(data = .Object@mst,
# # xname = .Object@xname, xunit = .Object@xunit,
# # key = .Object@key, population = .Object@key)
# #.Object@dfa <- new("xyz",
# # x = d$a, y = d$d, z = d$daz,
# # yname = "dfa", ...)
# }
# callNextMethod(.Object, ...)
# }
# )
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