Extract posterior mean parameters in natural shape

params() reshapes posterior mean summaries back into the parameter layout implied by the fitted model specification.

Usage

params(object, ...)

Arguments

object: A fitted object of class "mixgpd_fit".
...: Unused.

Value

An object of class "mixgpd_params" (a named list). For causal fits, params() returns a treated/control pair and includes a ps block when a propensity-score model was fitted.

Details

This extractor is intended for structural inspection of the fitted model. Scalar quantities remain scalar, component-specific parameters are returned as vectors, and linked regression blocks are returned as matrices with covariate names as columns when available. If propensity-score adjustment is active for a linked bulk parameter, its coefficient is folded into the returned beta matrix as a leading "PropScore" column.

For a spliced model, the extractor returns posterior means of the bulk mixture parameters together with component-level threshold, tail-scale, and tail-shape terms. When tail terms are link-mode, the corresponding component-by-covariate beta blocks are returned.

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)
params(fit)
p <- params(fit)
} # }