datasets.R

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#' Dataset used to illustrate Stefanski and Boos examples.
#'
#' The data used to illustrate examples 1-9 of Stefanski and Boos (2002).
#'
#' @docType data
#' @format a dataset with 9 variables and 100 observations
#' \itemize{
#'    \item{Y1}{ rnorm(mean = 5, sd = 4)}
#'    \item{Y2}{ rnorm(mean = 2, sd = 1)}
#'    \item{X1}{ rgamma(shape =5)}
#'    \item{Y3}{ 2 + 3*X1 + 1*rnorm(0, 1)}
#'    \item{W1}{ X1 + 0.25 * rnorm(0, 1)}
#'    \item{Z1}{ 2 + 1.5*X1 + 1*rnorm(0, 1)}
#'    \item{X2}{ 0 for first 50 observation, 1 for rest}
#'    \item{Y4}{ 0.1 + 0.1*X1 + 0.5*X2 + rnorm(0, 1)}
#'    \item{Y5}{ rbinom(prob = plogis(0.1 + 0.1*X1 + 0.5*X2))}
#'  }
#' @references Stefanski, L. A., & Boos, D. D. (2002). The calculus of m-estimation. The American Statistician, 56(1), 29-38.
#' @name geexex
#' @keywords datasets
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