Implements an objective Bayes intrinsic conditional autoregressive prior. This model provides an objective Bayesian approach for modeling spatially correlated areal data using an intrinsic conditional autoregressive prior on a vector of spatial random effects.
| Version: | 2.0.2 |
| Imports: | sf,sp,spdep,mvtnorm,coda,MCMCglmm,Rdpack, graphics,pracma, stats,classInt,dplyr,ggplot2,gtools |
| Suggests: | maps,MASS,knitr,rmarkdown,RColorBrewer,rcrossref,spData,formatR |
| Published: | 2025-01-22 |
| DOI: | 10.32614/CRAN.package.ref.ICAR |
| Author: | Erica M. Porter [aut, cre], Matthew J. Keefe [aut], Christopher T. Franck [aut], Marco A.R. Ferreira [aut] |
| Maintainer: | Erica M. Porter <emporte at clemson.edu> |
| License: | MIT + fileLICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | ref.ICAR results |