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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "RSTr" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'RSTr: Gibbs Samplers for Discrete Bayesian Spatiotemporal Models'
version: 1.1.4
doi: 10.32614/CRAN.package.RSTr
abstract: Takes Poisson or Binomial discrete spatial data and runs a Gibbs sampler
  for a variety of Spatiotemporal Conditional Autoregressive (CAR) models. Includes
  measures to prevent estimate over-smoothing through a restriction of model informativeness
  for select models. Also provides tools to load output and get median estimates.
  Implements methods from Besag, York, and Mollié (1991) "Bayesian image restoration,
  with two applications in spatial statistics" <https://doi.org/10.1007/BF00116466>,
  Gelfand and Vounatsou (2003) "Proper multivariate conditional autoregressive models
  for spatial data analysis" <https://doi.org/10.1093/biostatistics/4.1.11>, Quick
  et al. (2017) "Multivariate spatiotemporal modeling of age-specific stroke mortality"
  <https://doi.org/10.1214/17-AOAS1068>, and Quick et al. (2021) "Evaluating the informativeness
  of the Besag-York-Mollié CAR model" <https://doi.org/10.1016/j.sste.2021.100420>.
authors:
- family-names: DeLara
  given-names: David
  email: sfq1@cdc.gov
  orcid: https://orcid.org/0000-0003-0485-7549
- name: Centers for Disease Control and Prevention
repository: https://cran.r-universe.dev
commit: 8abc989ad4e19e5f73c7e363d26c6cc89960f694
url: https://cehi-code-repos.github.io/RSTr/
date-released: '2026-01-31'
contact:
- family-names: DeLara
  given-names: David
  email: sfq1@cdc.gov
  orcid: https://orcid.org/0000-0003-0485-7549