% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/simulate.R
\name{acs_simulate}
\alias{acs_simulate}
\title{Simulate ACS estimates from published estimates and MOEs.}
\usage{
acs_simulate(
  estimates,
  moes,
  cov = NULL,
  n_sims = 1000,
  dist = c("normal", "censored_normal"),
  conf = 0.9
)
}
\arguments{
\item{estimates}{Numeric estimates.}

\item{moes}{Numeric MOEs corresponding to \code{estimates}.}

\item{cov}{Optional covariance matrix on the standard-error scale.}

\item{n_sims}{Number of Monte Carlo simulations.}

\item{dist}{Distribution assumption: \code{"normal"} or \code{"censored_normal"}. The
censored variant replaces below-zero draws with zero, matching the
convention used in Napierala & Denton (2017) for ACS counts.}

\item{conf}{Confidence level associated with input MOEs.}
}
\value{
A numeric matrix of simulated draws.
}
\description{
Simulate ACS estimates from published estimates and MOEs.
}
\examples{
set.seed(1)
acs_simulate(c(x = 100, y = 50), c(10, 5), n_sims = 5)
}
