R/rprev.R

In rprev: Estimating Disease Prevalence from Registry Data

#' rprev: Estimate disease point prevalence using a combination of registry data and
#' Monte Carlo simulations.
#'
#' The rprev package uses available registry data to estimate point prevalence
#' at a specified index date. This is done by fitting two models to the registry
#' data: an incidence and a survival model. The first model is used to generate
#' an incident population with the survival model determining whether an individual
#' is alive at the index date and therefore contributing to prevalence.
#'
#' Prevalence is estimated using incident cases from a set number of years,
#' where the larger this values the more accurate the prevalence estimates are.
#' However, if the user asks to use more years of incident cases than are
#' available in the registry data set, then the remaining years of incidence are
#' simulated.
#'
#' The primary function in this package is thereby \code{\link{prevalence}},
#' which performs the combination of counted incidence from the registry data,
#' and the simulated cases, along with the calculation of their survival
#' probabilities at the index date.
#'
#' \code{\link{test_homogeneity}} provides a summary of the incident cases in the
#' registry data set, allowing for inspection of whether the default
#' homogeneous Poisson process assumption holds for the disease in question.
#'
#' @docType package
#' @name rprev
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