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>.
| Version: |
1.2.3 |
| Depends: |
R (≥ 4.3) |
| Imports: |
config, dplyr, DT, ggplot2, golem (≥ 0.4.1), grid, gridExtra, htmltools, htmlwidgets, leaflet, R6, sf, sp, shiny (≥ 1.7.4), shinyBS, shinydashboard, shinyFeedback, shinyjs, shinyWidgets, SUMMER, surveyPrev, survey, geodata, bookdown, markdown, haven, ggridges, ggthemes, RColorBrewer, viridisLite, scales, patchwork, leaflegend, leafsync, methods, graphics, plotly, readr, sn |
| Suggests: |
INLA, testthat (≥ 3.0.0) |
| Published: |
2025-05-07 |
| DOI: |
10.32614/CRAN.package.sae4health |
| Author: |
Yunhan Wu [cre, aut],
Qianyu Dong [aut],
Zehang R Li [aut],
Jon Wakefield [aut] |
| Maintainer: |
Yunhan Wu <wu-thomas at outlook.com> |
| BugReports: |
https://github.com/wu-thomas/sae4health/issues |
| License: |
AGPL-3 |
| URL: |
https://sae4health.stat.uw.edu/,
https://github.com/wu-thomas/sae4health |
| NeedsCompilation: |
no |
| Additional_repositories: |
https://inla.r-inla-download.org/R/testing/ |
| Language: |
en-US |
| Citation: |
sae4health citation info |
| Materials: |
README |
| CRAN checks: |
sae4health results |