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: |
2.0.1 |
| Imports: |
sf, sp, spdep, mvtnorm, coda, MCMCglmm, Rdpack, graphics, pracma, stats, classInt, dplyr, ggplot2, gtools |
| Suggests: |
maps, MASS, knitr, rmarkdown, RColorBrewer, rcrossref |
| Published: |
2023-08-22 |
| DOI: |
10.32614/CRAN.package.ref.ICAR |
| Author: |
Erica M. Porter, Matthew J. Keefe, Christopher T. Franck, and Marco A.R. Ferreira |
| Maintainer: |
Erica M. Porter <emporte at clemson.edu> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
ref.ICAR results |