% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/smsncut.R
\name{cutoff_ci}
\alias{cutoff_ci}
\title{Wald confidence interval for the optimal cutoff}
\usage{
cutoff_ci(c_star, V, n, conf_level = 0.95)
}
\arguments{
\item{c_star}{Numeric. The plug-in optimal cutoff.}

\item{V}{Numeric. Asymptotic variance from \code{\link{cutoff_variance}}.}

\item{n}{Integer. Total sample size \eqn{n = n_0 + n_1}.}

\item{conf_level}{Numeric in \eqn{(0,1)}. Default \code{0.95}.}
}
\value{
Named numeric vector \code{c(lower, upper, length)}.
}
\description{
Constructs a Wald-type \eqn{(1-\alpha)} confidence interval for
\eqn{c^*} (equation (31) of de Paula et al., 2026):
\deqn{\hat{c} \pm z_{1-\alpha/2}\sqrt{\hat{V}/n}.}
}
\examples{
cutoff_ci(c_star = 1.6, V = 0.81, n = 400, conf_level = 0.95)
}
