sizeestima: Estimating the sizes of populations who inject drugs
from multiple data sources using a Bayesian hierarchical model.
Description
This R package is for reproducing Bao L, Raftery A, Reddy A. (2015) Estimating the Sizes of Populations At Risk of HIV Infection From Multiple Data Sources Using a Bayesian Hierarchical Model, Statistics and Its Interface. This function develops an algorithm for presenting a Bayesian hierarchical
model for estimating the sizes of drug injected
populations in Bangladesh. The model incorporates multiple commonly used data sources
including mapping data, surveys, interventions, capture-recapture data,
estimates or guesstimates from organizations, and expert opinion. This function provides the posterior samples of burnin thin at-risk population sizes at the subnational level.
Usage
sizeestima(DATA, size, burnin, thin)
Arguments
DATA
dataset from Bangladesh which used in 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.
size
the number of iteration in MCMC algorithm.
burnin
the number of Burn-In in MCMC algorithm.
thin
keep every thin-th scan.
Value
A matrix of posterior samples of at-risk population sizes at the sub-national level, where the rows correspond to sub-national areas and the columns correspond to MCMC iterations.
Details
This function runs MCMC algorithm for reproducing 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.
References
Bao L, Raftery A, Reddy A. (2015) Estimating the Sizes of Populations At Risk of HIV Infection From Multiple Data Sources Using a Bayesian Hierarchical Model, Statistics and Its Interface.