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#' @title Compare original and filtered ETA shrinkage
#'
#' @description Computes filtered overall ETA shrinkage from the stored
#' subject-by-ETA data and returns a comparison table without modifying
#' the \code{xpdb} object.
#'
#' @inheritParams update_etaShrinkageNlme
#'
#' @return A tibble with one row per processed ETA containing:
#' \describe{
#' \item{Eta}{ETA name}
#' \item{n_total}{Total number of subjects for this ETA}
#' \item{n_kept}{Number of subjects kept after filtering}
#' \item{n_removed}{Number of subjects removed}
#' \item{threshold_applied}{Resolved threshold used for this ETA}
#' \item{original_shrinkage}{Shrinkage computed from all subjects}
#' \item{filtered_shrinkage}{Shrinkage computed after filtering}
#' \item{omega_sd}{Population omega standard deviation for this ETA}
#' }
#'
#' @export
compare_etaShrinkageNlme <- function(xpdb,
threshold = 1e-6,
eta_threshold = NULL,
eta_name = NULL,
.problem = 1) {
stopifnot(inherits(xpdb, "xpose_data"))
eta_subject <- get_etaSubjectNlme(xpdb, .problem = .problem)
omega_diag <- .get_omegaDiagNlme(xpdb, .problem = .problem)
.compute_etaShrinkageNlme(
eta_subject = eta_subject,
omega_diag = omega_diag,
threshold = threshold,
eta_threshold = eta_threshold,
eta_name = eta_name
)
}
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