sae4health
1.2.3Small Area Estimation for Key Health and Demographic Indicators from Household Surveys
Overview
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.
Install
Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-05-1113 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- WARNING2026-05-1012 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
- OK2026-05-0213 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
- ERROR2026-04-2511 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 67%
- References docs
- 7%
Downloads
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Checks run against github.com/wu-thomas/sae4health on 2026-07-19.
Dependencies
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Code & Tests
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Package metadata
- First published
- 2025-03-28
- Total releases
- 4 / 1 yrs
- License
- AGPL-3 OSI
- Additional repositories
- inla.r-inla-download.org
- Minimum R
- ≥ 4.3
- Bundled data
- 419 KB / 9 files
- Download size
- 606 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet