#' Final probability distribution of region in a macroregion
#'
#' @param mr an object of class \code{macroregion}
#' @param n number of stages to compute (default is 1)
#' @param state an object of class \code{state}
#'
#' @return a list of dataframes, each element of the list is a time (or an ID
#' for every further organ), each dataframe report the final
#' @export
get_final_p_macroregion_by_time <- function(mr, n = 1L, state ) {
get_p_position_by_time_nitp(mr, n, state) %>%
purrr::map(function(stage) {
(stage * get_p_accept_by_position_nitp(mr, state)) %>%
rowSums() %>%
dplyr::as_data_frame() %>%
dplyr::mutate(
region = get_initial_strip(mr)
) %>%
dplyr::group_by(region) %>%
dplyr::summarise_all(sum)
})
}
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