geostan: Bayesian Spatial Analysis

For Bayesian inference with spatial data, provides exploratory spatial analysis tools, multiple spatial model specifications, spatial model diagnostics, and special methods for inference with small area survey data (e.g., the America Community Survey (ACS)) and censored population health surveillance data. Models are pre-specified using the Stan programming language, a platform for Bayesian inference using Markov chain Monte Carlo (MCMC). References: Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>; Donegan (2021) <doi:10.31219/>; Donegan (2022) <doi:10.21105/joss.04716>; Donegan, Chun and Hughes (2020) <doi:10.1016/j.spasta.2020.100450>; Donegan, Chun and Griffith (2021) <doi:10.3390/ijerph18136856>; Morris et al. (2019) <doi:10.1016/j.sste.2019.100301>.

Version: 0.5.1
Depends: R (≥ 3.4.0)
Imports: spdep (≥ 1.1-8), sf, ggplot2 (≥ 3.0.0), methods, graphics, stats, MASS, truncnorm, signs, gridExtra, utils, Matrix (≥ 1.3), Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), rstantools (≥ 2.1.1)
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥, RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests: testthat, knitr, rmarkdown, bayesplot
Published: 2023-06-03
Author: Connor Donegan ORCID iD [aut, cre], Mitzi Morris [ctb]
Maintainer: Connor Donegan <connor.donegan at>
License: GPL (≥ 3)
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: geostan citation info
Materials: README NEWS
In views: Spatial
CRAN checks: geostan results


Reference manual: geostan.pdf
Vignettes: Exploratory spatial data analysis
Raster regression
Spatial measurement error models


Package source: geostan_0.5.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): geostan_0.5.1.tgz, r-oldrel (arm64): geostan_0.5.1.tgz, r-release (x86_64): geostan_0.5.1.tgz, r-oldrel (x86_64): geostan_0.5.1.tgz
Old sources: geostan archive


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