tools:::Rd_package_description("RSTr")
tools:::Rd_package_author("RSTr")
Maintainer: tools:::Rd_package_maintainer("RSTr")
The RSTr package uses Bayesian spatiotemporal modeling to spatially smooths 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.
Besag, J., York, J., and Mollié, A. (1991). Bayesian Image Restoration with Two Applications in Spatial Statistics (with Discussion). Annals of the Institute of Statistical Mathematics, 43, 1–59. tools:::Rd_expr_doi("10.1007/BF00116466")
Gelfand, A. E., & Vounatsou, P. (2003). Proper multivariate conditional autoregressive models for spatial data analysis. Biostatistics, 4(1), 11–25. tools:::Rd_expr_doi("10.1093/biostatistics/4.1.11")
Quick, et al. (2017). Multivariate spatiotemporal modeling of age-specific stroke mortality. Annals of Applied Statistics, 11(4), 2165–2177. tools:::Rd_expr_doi("10.1214/17-AOAS1068")
Quick, et al. (2021). Evaluating the informativeness of the Besag-York-Mollié CAR model. Spatial and Spatio-temporal Epidemiology, 37, 100420. tools:::Rd_expr_doi("10.1016/j.sste.2021.100420")