CausalMixGPD

Summarize an ATE-style effect object

summary.causalmixgpd_ate() converts ATE, ATT, CATE, or restricted-mean output into a tabular summary suitable for reporting.

Usage

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

Arguments

• object:

  A "causalmixgpd_ate" object from ate().

• …:

  Unused.

Value

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

Details

The summary reorganizes posterior treatment-effect output on the mean scale. Depending on the source object, the target estimand is a marginal ATE, treated-standardized ATT, conditional ATE, or a restricted-mean contrast based on $$\int_0^c \S_1(t) - S_0(t)\\dt.$$

The returned object stores overall metadata, effect tables, and interval summaries in a reporting-friendly format. It does not refit the model or recompute arm-specific predictions.

See also

print.causalmixgpd_ate, plot.causalmixgpd_ate, ate, cate.

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)
a <- ate(fit, interval = "credible")
summary(a)
} # }