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 (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests:	testthat, knitr, rmarkdown, bayesplot
Published:	2022-02-09
Author:	Connor Donegan [aut, cre], Mitzi Morris [ctb]
Maintainer:	Connor Donegan <connor.donegan at gmail.com>
License:	GPL (≥ 3)
URL:	https://connordonegan.github.io/geostan/, https://github.com/ConnorDonegan/geostan/
NeedsCompilation:	yes
SystemRequirements:	GNU make
Citation:	geostan citation info
Materials:	README
CRAN checks:	geostan results

Documentation:

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

Downloads:

Package source:	geostan_0.2.1.tar.gz
Windows binaries:	r-devel: geostan_0.2.1.zip, r-release: geostan_0.2.1.zip, r-oldrel: geostan_0.2.1.zip
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

Linking:

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