Summarize posterior draws from a one-arm fitted model

summary.mixgpd_fit() computes posterior summaries for monitored model parameters.

Usage

# S3 method for class 'mixgpd_fit'
summary(object, pars = NULL, probs = c(0.025, 0.5, 0.975), ...)

Arguments

object

A fitted object of class "mixgpd_fit".

pars

Optional character vector of parameters to summarize. If NULL, summarize all (excluding v's).

probs

Numeric vector of quantiles to report.

...

Unused.

Value

An object of class "mixgpd_summary".

Details

The returned table is a parameter-level summary of the posterior draws, not a predictive summary. Use predict.mixgpd_fit for posterior predictive quantities such as densities, survival probabilities, quantiles, and means.

The summary respects the stored truncation metadata and reports WAIC if it was requested during MCMC.

See also

print.mixgpd_fit, params, predict.mixgpd_fit, ess_summary.

Examples

if (FALSE) { # \dontrun{
y <- abs(stats::rnorm(50)) + 0.1
bundle <- build_nimble_bundle(y = y, backend = "sb", kernel = "normal",
                             GPD = TRUE, components = 6,
                             mcmc = list(niter = 200, nburnin = 50, thin = 1, nchains = 1))
fit <- run_mcmc_bundle_manual(bundle)
summary(fit, pars = c("alpha", "threshold"))
} # }