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.
Version: |
1.1.1 |
Imports: |
MCMCpack, msm |
Published: |
2016-07-26 |
Author: |
Le Bao, Adrian E. Raftery, Kyongwon Kim |
Maintainer: |
Kyongwon Kim <kbk5206 at psu.edu> |
License: |
GPL-3 |
NeedsCompilation: |
no |
CRAN checks: |
SizeEstimation results |
Documentation:
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