% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/coarseDataTools-package.R
\docType{data}
\name{simulated.outbreak.deaths}
\alias{simulated.outbreak.deaths}
\title{Simulated case and death reports from a fictional outbreak}
\format{
\describe{
            \item{\code{time}}{time, t,  after start of outbreak}
            \item{\code{grp}}{an categorical variable indicating membership in one of two groups of a covariate, j}
            \item{\code{R}}{number of recovered cases reported at the given t and j}
            \item{\code{D}}{number of deaths reported at the given t and j}
            \item{\code{N}}{total number of cases and deaths reported at t and j, or D+R}
            }
}
\source{
Reich NG, Lessler J, Cummings DAT, Brookmeyer R. Estimating case fatality ratios from infectious disease surveillance data. Biometrics. 2012. 68(2): 598-606.
}
\usage{
data(simulated.outbreak.deaths)
}
\description{
This dataset provides reported counts of cases and deaths occurring at different time points across a simulated outbreak. Details of the data simulation algorithm are provided in the manuscript "Estimating case fatality ratios from infectious disease surveillance data" (Reich et al., under review, available upon request).
}
\examples{
data(simulated.outbreak.deaths)
head(simulated.outbreak.deaths)
plot(simulated.outbreak.deaths[simulated.outbreak.deaths[,"grp"]==1,"D"], type="l")
}