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/osf.io/3ey65>; 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: | 0.3.0 |
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: | 2022-07-11 |
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 NEWS |
CRAN checks: | geostan results |
Reference manual: | geostan.pdf |
Vignettes: |
Exploratory spatial data analysis Spatial measurement error models |
Package source: | geostan_0.3.0.tar.gz |
Windows binaries: | r-devel: geostan_0.3.0.zip, r-release: geostan_0.3.0.zip, r-oldrel: geostan_0.3.0.zip |
macOS binaries: | r-release (arm64): geostan_0.3.0.tgz, r-oldrel (arm64): geostan_0.3.0.tgz, r-release (x86_64): geostan_0.3.0.tgz, r-oldrel (x86_64): geostan_0.3.0.tgz |
Old sources: | geostan archive |
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