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geostan  

Bayesian Spatial Analysis
View on CRAN: Click here


Download and install geostan package within the R console
Install from CRAN:
install.packages("geostan")

Install from Github:
library("remotes")
install_github("cran/geostan")

Install by package version:
library("remotes")
install_version("geostan", "0.6.0")



Attach the package and use:
library("geostan")
Maintained by
Connor Donegan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-09
Latest Update: 2024-03-03
Description:
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) ; Donegan (2021) ; Donegan (2022) ; Donegan, Chun and Hughes (2020) ; Donegan, Chun and Griffith (2021) ; Morris et al. (2019) .
How to cite:
Connor Donegan (2022). geostan: Bayesian Spatial Analysis. R package version 0.6.0, https://cran.r-project.org/web/packages/geostan
Previous versions and publish date:
0.2.1 (2022-02-09 20:20), 0.3.0 (2022-07-11 21:10), 0.4.0 (2022-09-20 04:36), 0.4.1 (2022-12-04 23:10), 0.5.0 (2023-05-29 18:30), 0.5.1 (2023-06-04 01:40), 0.5.2 (2023-10-05 00:30), 0.5.3 (2023-11-24 23:30), 0.5.4 (2024-03-03 16:22), 0.6.0 (2024-04-16 16:00), 0.6.1 (2024-05-11 00:23)
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