R/SimDataLst.R

In ellenxtan/ifedtree: Tree-based Federated Learning Approach for Personalized Effect Estimation and Prediction

#' A list of data from K=20 sites
#'
#' A list of data from K=20 sites where odd sites and even sites form two distinct groups.
#' Each data contains information of site index, subject index, treatment assignment,
#' covariates, true treatment effect, outcome.
#'
#' Obtained by the following codes: \cr
#' coord_id <- 1 \cr
#' K <- 20 \cr
#' SimDataLst <- list() \cr
#' for (k in 1:K) \{ \cr
#'     tmpdf <- GenSimData(k) \cr
#'     SimDataLst[[k]] <- tmpdf \cr
#' \} \cr
#'
#' @format A list contains 20 data tables. Each data contains 100 rows and 10 variables.
#' \describe{
#'   \item{SimDataLst}{A list contains 20 data tables}
#'   \item{S}{Site index (for each data table within `SimDataLst`)}
#'   \item{idx}{subject index (for each data table within `SimDataLst`)}
#'   \item{Z}{Binary treatment assignment (for each data table within `SimDataLst`)}
#'   \item{X1 - X5}{Covariates (for each data table within `SimDataLst`)}
#'   \item{tau}{True treatment effect (for each data table within `SimDataLst`)}
#'   \item{Y}{Outcome (for each data table within `SimDataLst`)}
#'
#'
#' }
"SimDataLst"