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-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/ID.R
-\name{ID}
-\alias{ID}
-\title{ID method}
-\usage{
-ID(NT, mu)
-}
-\arguments{
-\item{NT}{Vector of case counts.}
-
-\item{mu}{Mean of the serial distribution. This needs to match case counts
-in time units. For example, if case counts are weekly and the
-serial distribution has a mean of seven days, then \code{mu} should
-be set to one. If case counts are daily and the serial distribution
-has a mean of seven days, then \code{mu} should be set to seven.}
-}
-\value{
-\code{ID} returns a single value, the estimate of R0.
-}
-\description{
-This function implements a least squares estimation method of R0 due to
-Fisman et al. (PloS One, 2013). See details for implementation notes.
-}
-\details{
-The method is based on a straightforward incidence decay model. The estimate
-of R0 is the value which minimizes the sum of squares between observed case
-counts and cases counts 'expected' under the model.
-
-This method is based on an approximation of the SIR model, which is most
-valid at the beginning of an epidemic. The method assumes that the mean of
-the serial distribution (sometimes called the serial interval) is known. The
-final estimate can be quite sensitive to this value, so sensitivity testing
-is strongly recommended. Users should be careful about units of time (e.g.,
-are counts observed daily or weekly?) when implementing.
-}
-\examples{
-# Weekly data:
-NT <- c(1, 4, 10, 5, 3, 4, 19, 3, 3, 14, 4)
-
-# Obtain R0 when the serial distribution has a mean of five days.
-ID(NT, mu = 5 / 7)
-
-# Obtain R0 when the serial distribution has a mean of three days.
-ID(NT, mu = 3 / 7)
-
-}