% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/core.R
\name{acs_prop}
\alias{acs_prop}
\title{Propagate ACS uncertainty for a proportion.}
\usage{
acs_prop(num, num_moe, denom, denom_moe, cov = 0, conf = 0.9)
}
\arguments{
\item{num}{Numerator estimate.}

\item{num_moe}{Numerator MOE.}

\item{denom}{Denominator estimate.}

\item{denom_moe}{Denominator MOE.}

\item{cov}{Numerator-denominator covariance on the standard-error scale.}

\item{conf}{Confidence level associated with input and output MOEs.}
}
\value{
A data frame with \code{estimate}, \code{moe}, and \code{se}.
}
\description{
Propagate ACS uncertainty for a proportion.
}
\details{
This function follows the Census approximation used for proportions
where the numerator is a subset of the denominator. It does not validate
that \code{num <= denom}; behavior for non-nested ratios is formulaic rather
than a claim that the inputs define a valid proportion.
}
\examples{
acs_prop(num = 10, num_moe = 2, denom = 50, denom_moe = 5)
}
