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cff-version: 1.2.0
message: 'To cite package "bayescoveragemodel" in publications use:'
type: software
license: MIT
title: 'bayescoveragemodel: Bayesian Transition Models for Estimating and Forecasting
  Health Coverage Indicators'
version: '0.11'
doi: 10.32614/CRAN.package.bayescoveragemodel
abstract: Fits Bayesian hierarchical transition models to health coverage indicators
  (e.g., ANC4, institutional delivery) using survey and routine data. Implements models
  using Stan for Bayesian inference, with support for global and local (country-specific)
  model fitting, out-of-sample validation, and subnational estimation.
authors:
- family-names: Alkema
  given-names: Leontine
  email: lalkema@umass.edu
- family-names: Mooney
  given-names: Shauna
repository: https://alkemalab.r-universe.dev
repository-code: https://github.com/AlkemaLab/bayescoveragemodel
commit: f07593599f03cf6c239dd1787be6d4ad05df7134
url: https://alkemalab.github.io/bayescoveragemodel/
date-released: '2026-06-08'
contact:
- family-names: Alkema
  given-names: Leontine
  email: lalkema@umass.edu