#' causalsim: Simulation-Ready Causal Data Generating Processes
#'
#' Construct, simulate, and evaluate causal data generating processes (DGPs)
#' with known ground truth. Covariate roles (confounder, effect modifier,
#' noise) and heterogeneous treatment effects are first-class concepts, and
#' estimator performance is summarised with bias, RMSE, confidence-interval
#' coverage, and power. Results are returned as plain data frames for further
#' analysis or plotting.
#'
#' @keywords internal
"_PACKAGE"
