% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/methods.R
\name{print.causalmixgpd_causal_fit}
\alias{print.causalmixgpd_causal_fit}
\title{Print a fitted causal model}
\usage{
\method{print}{causalmixgpd_causal_fit}(x, ...)
}
\arguments{
\item{x}{A \code{"causalmixgpd_causal_fit"} object.}

\item{...}{Unused.}
}
\value{
The input object (invisibly).
}
\description{
\code{print.causalmixgpd_causal_fit()} provides a compact overview of the
fitted treated/control outcome blocks and the PS component when present.
}
\details{
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 \eqn{\mu_1(x) - \mu_0(x)} or
\eqn{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 \code{summary()}, \code{predict()}, or the
dedicated causal estimand helpers for inferential output.
}
\seealso{
\code{\link{summary.causalmixgpd_causal_fit}},
\code{\link{predict.causalmixgpd_causal_fit}}, \code{\link{ate}},
\code{\link{qte}}.
}
