R/DATA.R

In SizeEstimation: Estimating the Sizes of Populations at Risk of HIV Infection from Multiple Data Sources Using a Bayesian Hierarchical Model

#' The number of people who inject drugs in Bangladesh in 2004.
#'
#' @docType data
#'
#' @description
#' The data is on the number of people who inject drugs(PWID)
#' in Bangladesh in 2004 from several sources and sampling methods.
#' PWID were defined as male drug users who had taken drugs primarily
#' intraveneously in the previous three to six months.
#'
#'
#' @usage DATA
#'
#' @format
#' A data frame with 64 obsevations on 9 variables.
#'
#' First column is district.
#' Second column is area. Third column is size of the population in that area. Fourth column is National Assessment of the situation and Response to Opioid/Opiate Use in Bangladesh(NASROB).
#' Fifth column is the the data from Behavioral Surveillance Surveys in four cities(BSS). Sixth column is the data from Needle Exchange Program(NEP).
#' Seventh column is the number of people who are captured by boyh BSS and NEP. Eighth column is the data from CARE Bangladesh Rapid Situation Assessment(RSA).
#' Ninth column is division.

#'
#' @keywords datasets
#'
#' @references Bao L, Raftery A, Reddy A. (2015) Estimating the Sizez of Populations At Risk of HIV Infection From Multiple Data Sources Using a Bayesian Hierarchical Model, Statistics and Its Interface.
#'
#'
#' @source Bao L, Raftery A, Reddy A. (2015) Estimating the Sizez of Populations At Risk of HIV Infection From Multiple Data Sources Using a Bayesian Hierarchical Model, Statistics and Its Interface.

"DATA"