Enables small area estimation (SAE) of health and demographic indicators in low- and middle-income countries (LMICs). It powers an R 'shiny' application that helps public health analysts, policymakers, and researchers generate subnational estimates and prevalence maps for 150+ binary indicators from Demographic and Health Surveys (DHS). Basing its core SAE analysis workflow on the 'surveyPrev' package, the app ensures methodological rigor through guided model selection, automated fitting, and interactive visualization. For more details, visit <https://sae4health.stat.uw.edu/>.
| Version: |
1.2.1 |
| 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: |
2025-04-01 |
| 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 |
| Materials: |
README |
| CRAN checks: |
sae4health results |