Summarize posterior draws for selected parameters

Usage

.summarize_posterior(object, pars = NULL, probs = c(0.025, 0.5, 0.975))

Arguments

object: mixgpd_fit
pars: character vector; if NULL uses all non-v parameters
probs: quantiles to report

Value

data.frame with mean/sd/quantiles + ess/rhat where available

Details

This helper powers the one-arm summary methods. It extracts the retained draw matrix, chooses a default set of non-redundant parameters when pars is not supplied, and computes posterior means, standard deviations, quantiles, effective sample sizes, and Gelman diagnostics when available.

The resulting table is parameter oriented rather than prediction oriented. It is the internal workhorse behind summary.mixgpd_fit().