R/nonlineardata.R

In controlfunctionIV: Control Function Methods with Possibly Invalid Instrumental Variables

#' nonlineardata
#'
#' Psuedo data provided by Youjin Lee, which is generated mimicing the structure of Framingham Heart Study data.
#'
#' @docType data
#'
#' @usage data(nonlineardata)
#'
#' @format A data.frame with 3733 observations on 9 variables:
#' \itemize{
#'  \item \strong{Y:} The incidence of cardiovascular diseases.
#'  \item \strong{bmi:} The BMI level.
#'  \item \strong{insulin:} The insulin level.
#'  \item \strong{Z.1:} SNP genotypes.
#'  \item \strong{Z.2:} SNP genotypes.
#'  \item \strong{Z.3:} SNP genotypes.
#'  \item \strong{Z.4:} SNP genotypes.
#'  \item \strong{age:} the age of the subject.
#'  \item \strong{sex:} the sex of the subject.
#
#' }
#' @source The Framingham Heart Study data supported by the National Heart, Lung, and Blood Institute (NHLBI) in collaboration with Boston University.
#' @examples data(nonlineardata)
"nonlineardata"