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sae4health: Small Area Estimation for Key Health and Demographic Indicators from Household Surveys
Enables small area estimation (SAE) of health and demographic indicators in low- and middle-income countries (LMICs). It powers an R 'shiny' application for generating subnational estimates and prevalence maps of 150+ binary indicators from Demographic and Health Surveys (DHS). It builds on the SAE analysis workflow from the 'surveyPrev' package. For documentation, visit <https://sae4health.stat.uw.edu/>. Methodological details can be found at Wu et al. (2025) <doi:10.48550/arXiv.2505.01467>.
Getting started
Browse package contents
Package details |
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| Author | Yunhan Wu [cre, aut], Qianyu Dong [aut], Zehang R Li [aut], Jon Wakefield [aut] |
| Maintainer | Yunhan Wu <wu-thomas@outlook.com> |
| License | AGPL-3 |
| Version | 1.2.3 |
| URL | https://sae4health.stat.uw.edu/ https://github.com/wu-thomas/sae4health |
| Package repository | View on CRAN |
| Installation |
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