geostan: Bayesian Spatial Analysis

For Bayesian inference with spatial data, provides exploratory 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)). 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, 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: 0.2.1
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: 2022-02-09
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
CRAN checks: geostan results


Reference manual: geostan.pdf
Vignettes: Measuring and visualizing spatial autocorrelation
Working with American Community Survey data


Package source: geostan_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): geostan_0.2.1.tgz, r-release (x86_64): geostan_0.2.1.tgz, r-oldrel: geostan_0.2.1.tgz


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