Package: sae4health
Title: Small Area Estimation for Key Health and Demographic Indicators
        from Household Surveys
Version: 1.2.3
Authors@R: c(
    person(given = "Yunhan", family = "Wu", email= "wu-thomas@outlook.com", role = c("cre", "aut")),
    person(given = "Qianyu", family = "Dong", email= "qdong14@ucsc.edu", role = "aut"),
    person(given = "Zehang R", family = "Li", email= "lizehang@gmail.com", role = "aut"),
    person(given = "Jon", family = "Wakefield", email = "jonno@uw.edu", role = "aut")
    )
Description: 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>.
License: AGPL-3
URL: https://sae4health.stat.uw.edu/,
        https://github.com/wu-thomas/sae4health
BugReports: https://github.com/wu-thomas/sae4health/issues
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)
Additional_repositories: https://inla.r-inla-download.org/R/testing/
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
NeedsCompilation: no
Config/build/clean-inst-doc: FALSE
Config/testthat/edition: 3
Language: en-US
Packaged: 2025-05-07 01:05:45 UTC; wu-th
Author: Yunhan Wu [cre, aut],
  Qianyu Dong [aut],
  Zehang R Li [aut],
  Jon Wakefield [aut]
Maintainer: Yunhan Wu <wu-thomas@outlook.com>
Repository: CRAN
Date/Publication: 2025-05-07 12:30:02 UTC
Built: R 4.6.0; ; 2025-12-24 05:25:29 UTC; windows
