WP_known(NT, p)
}
\arguments{
-\item{NT}{vector of case counts}
+\item{NT}{Vector of case counts.}
-\item{p}{discretized version of the serial distribution}
+\item{p}{Discretized version of the serial distribution.}
}
\value{
-The function returns \code{Rhat}, the maximum likelihood estimator of R0.
+The function returns the maximum likelihood estimator of R0.
}
\description{
-This is a background/internal function called by \code{WP}. It computes the maximum likelihood estimator of R0 assuming that the serial distribution is known and finite discrete.
+This is a background/internal function called by \code{WP}. It computes the maximum
+likelihood estimator of R0 assuming that the serial distribution is known and finite discrete.
}
+\keyword{internal}