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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 |
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 |
Reference manual: | sae4health.pdf |
Package source: | sae4health_1.2.1.tar.gz |
Windows binaries: | r-devel: sae4health_1.2.0.zip, r-release: sae4health_1.2.0.zip, r-oldrel: sae4health_1.2.0.zip |
macOS binaries: | r-devel (arm64): sae4health_1.2.0.tgz, r-release (arm64): sae4health_1.2.0.tgz, r-oldrel (arm64): sae4health_1.2.0.tgz, r-devel (x86_64): sae4health_1.2.0.tgz, r-release (x86_64): sae4health_1.2.0.tgz, r-oldrel (x86_64): sae4health_1.2.0.tgz |
Old sources: | sae4health archive |
Please use the canonical form https://CRAN.R-project.org/package=sae4health to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.