RSTr
1.2.0Gibbs Samplers for Discrete Bayesian Spatiotemporal Models
Overview
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.
Install
Health
- OK2026-05-1213 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- WARNING2026-05-1112 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-04-2212 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1811 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 5%
Downloads
Repository
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Code & Tests
Datasets
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- 1.2.0Latest
- RR 4.6.0 released · 2026-04-24
- 1.1.42026-01-31 · diff ↗
- 1.0.02026-01-17
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-01-17
- Total releases
- 3 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.3.0
- Bundled data
- 428 KB / 7 files
- Download size
- 1.8 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet