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#' Data simulated for model selection under WGEE framework for missing longitudinal data under the mechanism of missing at random and drop-out.
#'
#'
#' @docType data
#'
#' @usage data(wgeesimdata)
#'
#' @format An object of class \code{"list"}
#' \describe{
#' \item{y}{The outcomes generated from Bernoulli distribution with three repeated measurements from each subject. The data is longitudinal dropout and missing at random.}
#' \item{x}{A full covariate matrix. The first column corresponds to the intercept; the second column contains time-independent continuous-scale variable x1; the third column contains a doctor-visit variable x2; the third column contains time-independent binary-scale variable x3.}
#' \item{x_mis}{A covariate matrix for missing data model. The first column corresponds to the intercept; the second column contains continuous variable x_mis1.}
#' \item{id}{A vector indicating subject id.}
#' \item{obs_ind}{A vector indicating observations for each record: 1 for observed records, and 0 for unobserved records.}
#' }
#' @references This data set was artificially created for the ELCIC package.
#' @keywords datasets
#' @examples
#'
#' data(wgeesimdata)
#' wgeesimdata$y
#'
"wgeesimdata"
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