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RSTr  

Gibbs Samplers for Discrete Bayesian Spatiotemporal Models
View on CRAN: Click here


Download and install RSTr package within the R console
Install from CRAN:
install.packages("RSTr")

Install from Github:
library("remotes")
install_github("cran/RSTr")

Install by package version:
library("remotes")
install_version("RSTr", "1.0.0")



Attach the package and use:
library("RSTr")
Maintained by
David DeLara
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-01
Latest Update: 2026-02-01
Description:
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" <doi:10.1007/BF00116466>, Gelfand and Vounatsou (2003) "Proper multivariate conditional autoregressive models for spatial data analysis" <doi:10.1093/biostatistics/4.1.11>, Quick et al. (2017) "Multivariate spatiotemporal modeling of age-specific stroke mortality" <doi:10.1214/17-AOAS1068>, and Quick et al. (2021) "Evaluating the informativeness of the Besag-York-Mollié CAR model" <doi:10.1016/j.sste.2021.100420>.
How to cite:
David DeLara (2026). RSTr: Gibbs Samplers for Discrete Bayesian Spatiotemporal Models. R package version 1.0.0, https://cran.r-project.org/web/packages/RSTr. Accessed 10 Mar. 2026.
Previous versions and publish date:
1.0.0 (2026-01-17 21:10)
Other packages that cited RSTr R package
View RSTr citation profile
Other R packages that RSTr depends, imports, suggests or enhances
Complete documentation for RSTr
Functions, R codes and Examples using the RSTr R package
Full RSTr package functions and examples
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