print.causalmixgpd_causal_fit() provides a compact overview of the
fitted treated/control outcome blocks and the PS component when present.
# S3 method for class 'causalmixgpd_causal_fit'
print(x, ...)
x:
A "causalmixgpd_causal_fit" object.
…:
Unused.
The input object (invisibly).
A fitted causal object combines posterior draws for the treated outcome model, the control outcome model, and optionally the propensity-score model. Those fitted blocks are the ingredients used later to evaluate causal estimands such as \\mu_1(x) - \mu_0(x)\ or \Q_{Y^1}(\tau \mid x) - Q_{Y^0}(\tau \mid x)\.
The print method is deliberately high level. It identifies which models
were fitted and whether GPD tails are active, but it does not report
posterior summaries or treatment-effect estimates. Use
summary(),
predict(), or the dedicated
causal estimand helpers for inferential output.
summary.causalmixgpd_causal_fit,
predict.causalmixgpd_causal_fit,
ate,
qte.