EpiBayesHistorical. It does
    so by plotting the posterior distributions of the cluster-level prevalence across
    all time periods in different colors within a particular subzone. Similar plots
    are made for each subzone in separate plotting windows (Caveat: too many
    subzones can make manipulation of the plotting windows unmageable).
"plot"(x, ...)ebhistorical (e.g., the output of
function EpiBayesHistorical).plot.