CausalMixGPD

Summarize a QTE-style effect object

summary.causalmixgpd_qte() converts QTE, QTT, or CQTE output into a tabular summary suitable for reporting.

Usage

# S3 method for class 'causalmixgpd_qte'
summary(object, ...)

Arguments

• object:

  A "causalmixgpd_qte" object from qte().

• …:

  Unused.

Value

An object of class "summary.causalmixgpd_qte" with overall, quantile_summary, effect_table, ci_summary, meta, and the original object.

Details

The summary reorganizes the posterior effect object into reporting tables. The target estimand remains a quantile contrast, $$\Delta(\tau) = Q_{Y^1}(\tau) - Q_{Y^0}(\tau),$$ with the appropriate marginal, treated-standardized, or conditional interpretation depending on whether the source object came from qte(), qtt(), or cqte().

Besides the effect table itself, the summary records the quantile grid, the interval settings, and per-quantile distributional summaries when posterior draws are available. This makes the object convenient for reporting and downstream printing without recomputing the estimand.

See also

print.causalmixgpd_qte, plot.causalmixgpd_qte, qte, cqte.

Examples

if (FALSE) { # \dontrun{
cb <- build_causal_bundle(y = y, X = X, A = A, backend = "sb", kernel = "normal", components = 6)
fit <- run_mcmc_causal(cb, show_progress = FALSE)
q <- qte(fit, probs = c(0.25, 0.5, 0.75), interval = "credible")
summary(q)
} # }