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\name{binciWu}
\alias{binciWu}
\title{Upper binomial confidence limit}
\description{
Calculates an upper binomial confidence limit using the Wilson approximation.
}
\usage{
binciWu(x,n,alpha=0.05,trueval=TRUE,na.rm=TRUE)
}
\arguments{
\item{x}{The number of successes or failures for which the CI is to be calculated.}
\item{n}{The number of trials as above.}
\item{alpha}{The desired coverage - 0.05 produces 95 percent coverage}
\item{trueval}{The value representing the outcome of interest for the CI.}
\item{na.rm}{Argument needed to make this work}
}
\details{
\samp{binciWu} calculates the upper binomial confidence limit for the
given number of successes and trials. It is mainly to allow binomial
confidence limits to be calculated in the \samp{brkdnNest} function,
which is why the upper and lower CIs are calculated separately.
}
\value{The upper binomial confidence interval}
\author{Jim Lemon}
\seealso{\link{binciWl}}
\examples{
binciWu(5,42)
}
\keyword{misc}
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