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 |