#' prome: Latent-outcome models for RCTs with differential measurement error
#'
#' Tools for fitting latent continuous-outcome models in randomized trials with
#' a binary response process and a surrogate measurement subject to
#' response-dependent error. The package provides EM estimators implemented with
#' compiled C code for fast E-steps and observed-data log-likelihood
#' evaluation, plus Bayesian Stan wrappers for corresponding models.
#'
#' @keywords internal
"_PACKAGE"
