Shows the effective, resolved priors on the familiar SD/scale
parameterization rather than JAGS precision. Use verbose = TRUE to also
see the symbolic rule, its description, source, and kind.
Value
A tibble with one row per model parameter, ordered and labeled
the same way as summary(): change points first, then mu, then the
other distributional parameters, then ar/ma components - each with
segment and dpar columns.