Rate Stabilizing Tool: Gibbs Samplers for Bayesian Spatiotemporal CAR Models

Takes Poisson or Binomial discrete spatial data and runs a Gibbs sampler for a variety of Spatiotemporal 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.

Details

The RSTr package is designed to spatially smooth discrete small-area event rates using information from neighboring spatial regions. See `browseVignettes("RSTr")` for a series of tutorials on basic usage of the RSTr functions.

Author

David DeLara [aut, cre] (ORCID: <https://orcid.org/0000-0003-0485-7549>), Centers for Disease Control and Prevention [aut] (https://ror.org/042twtr12)

Maintainer: David DeLara <sfq1@cdc.gov>

References

Besag, J., York, J. and Mollie, A. (1991) Bayesian Image Restoration with Two Applications in Spatial Statistics (with Discussion). Annals of the Institute of Statistical Mathematics, 43, 1-59. https://doi.org/10.1007/BF00116466 Multivariate spatiotemporal modeling of age-specific stroke mortality. (2017). Ann. Appl. Stat., 11(4), 2165–2177. https://doi.org/10.1214/17-AOAS1068 Song, G. (n.d.). Estimating the Informativeness of the Conditional Autoregressive Model Framework with Applications. Drexel University Libraries. https://doi.org/10.17918/00001456