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cff-version: 1.2.0
message: 'To cite package "sae4health" in publications use:'
type: software
license: AGPL-3.0-only
title: 'sae4health: Small Area Estimation for Key Health and Demographic Indicators
  from Household Surveys'
version: 1.2.1
doi: 10.32614/CRAN.package.sae4health
abstract: 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/>.
authors:
- family-names: Wu
  given-names: Yunhan
  email: wu-thomas@outlook.com
- family-names: Dong
  given-names: Qianyu
  email: qdong14@ucsc.edu
- family-names: Li
  given-names: Zehang R
  email: lizehang@gmail.com
- family-names: Wakefield
  given-names: Jon
  email: jonno@uw.edu
repository: https://wu-thomas.r-universe.dev
repository-code: https://github.com/wu-thomas/sae4health
commit: a1dbb12f94de6dc56dc429d4975713f766cfa0e5
url: https://sae4health.stat.uw.edu/
contact:
- family-names: Wu
  given-names: Yunhan
  email: wu-thomas@outlook.com