CausalMixGPD

Print a QTE-style effect object

print.causalmixgpd_qte() prints a compact summary for objects produced by qte, qtt, or cqte.

Usage

# S3 method for class 'causalmixgpd_qte'
print(x, digits = 3, max_rows = 6, ...)

Arguments

• x:

  A "causalmixgpd_qte" object from qte().

• digits:

  Number of digits to display.

• max_rows:

  Maximum number of estimate rows to display.

• …:

  Unused.

Value

The object x, invisibly.

Details

These objects store posterior summaries of quantile treatment contrasts. In the marginal case, $$\Delta(\tau) = Q_{Y^1}(\tau) - Q_{Y^0}(\tau).$$ For qtt(), the same contrast is standardized to the treated covariate distribution, and for cqte() it is evaluated conditionally at the supplied covariate profiles.

The print method is intentionally compact: it reports the prediction setup and the resulting effect table, but it does not attempt to reproduce all posterior draws. Use summary() or plot() on the same object for more structured reporting.

See also

summary.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")
print(q)
} # }