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

\item{...}{Unused.}
}
\value{
The input object (invisibly).
}
\description{
Print a propensity score fit
}
\details{
A propensity-score fit models the treatment assignment probability
\eqn{e(x) = \Pr(A = 1 \mid X = x)}. The printed header identifies which PS
family was fitted, but it intentionally omits coefficient-level summaries.

Use \code{summary()} on the same object when you need posterior means, spread, and
intervals for the monitored PS parameters. The compact print method is mainly
an identity check inside larger causal workflows.
}
