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

This function develops an algorithm for presenting a Bayesian hierarchical model for estimating the sizes of local and national 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.

AuthorLe Bao, Adrian E. Raftery, Kyongwon Kim
Date of publication2016-07-26 12:07:19
MaintainerKyongwon Kim<kbk5206@psu.edu>
LicenseGPL-3
Version1.1.1

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Files

SizeEstimation
SizeEstimation/NAMESPACE
SizeEstimation/data
SizeEstimation/data/pwid.RData
SizeEstimation/R
SizeEstimation/R/DATA.R SizeEstimation/R/sizeestima.R
SizeEstimation/MD5
SizeEstimation/DESCRIPTION
SizeEstimation/man
SizeEstimation/man/sizeestima.Rd SizeEstimation/man/DATA.Rd

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