Package: sae4health 1.2.3

sae4health: Small Area Estimation for Key Health and Demographic Indicators from Household Surveys

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>.

Authors:Yunhan Wu [cre, aut], Qianyu Dong [aut], Zehang R Li [aut], Jon Wakefield [aut]

sae4health_1.2.3.tar.gz
sae4health_1.2.3.zip(r-4.7)sae4health_1.2.3.zip(r-4.6)sae4health_1.2.3.zip(r-4.5)
sae4health_1.2.3.tgz(r-4.6-any)sae4health_1.2.3.tgz(r-4.5-any)
sae4health_1.2.3.tar.gz(r-4.7-any)sae4health_1.2.3.tar.gz(r-4.6-any)
sae4health_1.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sae4health/json (API)

# Install 'sae4health' in R:

install.packages('sae4health', repos = c('https://wu-thomas.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/wu-thomas/sae4health/issues

Datasets:

adm2.link.all - WHO Administrative Level 2 Linkage
DHS_ind_dictionary - DHS Indicator Dictionary
natl.WHO.shp - WHO National-Level Shapefile

On CRAN:

5.03 score 2 stars 12 scripts 602 downloads 3 exports 174 dependencies

Last updated from:be22e132ef. Checks:7 ERROR, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	ERROR	215
source / vignettes	OK	294
linux-release-x86_64	ERROR	236
macos-release-arm64	ERROR	152
macos-oldrel-arm64	ERROR	162
windows-devel	ERROR	168
windows-release	ERROR	180
windows-oldrel	ERROR	164
wasm-release	OK	247

Exports:admin_to_num num_to_admin run_app

Dependencies:askpass attempt backports base64enc bit bit64 bookdown boot brio bslib cachem checkmate class classInt cli clipr codetools commonmark config cpp11 crayon crosstalk curl data.table datawizard DBI deldir digest dotCall64 dplyr DT e1071 evaluate expss farver fastmap fields fontawesome fontBitstreamVera fontLiberation fontquiver forcats foreign fs gdtools generics geodata getPass ggiraph ggplot2 ggridges ggthemes glue golem gridExtra gtable haven highr hms htmlTable htmltools htmlwidgets httpuv httr insight iotools isoband jquerylib jsonlite KernSmooth knitr labeling labelled later lattice lazyeval leaflegend leaflet leaflet.providers leafsync lifecycle litedown maditr magrittr maps markdown MASS Matrix MatrixModels matrixStats memoise mime minqa mitools mnormt naniar norm numDeriv openssl otel patchwork pillar pkgconfig plotly plyr png prettyunits progress promises proxy purrr qdapRegex quantreg R6 rappdirs raster RColorBrewer Rcpp RcppArmadillo rdhs readr reshape2 rlang rmarkdown rstudioapi s2 S7 sass scales sf shadowtext shiny shinyBS shinydashboard shinyFeedback shinyjs shinyWidgets sjlabelled sn sourcetools sp spam SparseM spData spdep storr stringi stringr SUMMER survey surveyPrev survival sys systemfonts terra tibble tidyr tidyselect tinytex tzdb units UpSetR utf8 vctrs viridis viridisLite visdat vroom withr wk xfun xml2 xtable yaml

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
R Shiny App for Small Area Estimation of Health and Demographic Indicators	sae4health-package sae4health
WHO Administrative Level 2 Linkage	adm2.link.all
Convert Administrative Level String to Numeric Code	admin_to_num
DHS API Estimates	DHS_api_est
DHS Indicator Dictionary	DHS_ind_dictionary
DHS Country Metadata	DHS.country.meta
DHS Dataset Metadata	DHS.dataset.meta
DHS Survey Metadata	DHS.survey.meta
Matching Results Between DHS and GitHub Indicators, Imported from surveyPrev	match_all_result
WHO National-Level Shapefile	natl.WHO.shp
Convert Numeric Code to Administrative Level String	num_to_admin
Reference Table for Original 22 Indicators	ref_tab_22
Combined Indicators Reference Table	ref_tab_all
Newly Added Indicators Reference Table	ref_tab_new
Run the Shiny Application	run_app