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: |
1.0 |
| Depends: |
R (≥ 3.1.0) |
| Imports: |
rgdal, spdep, mvtnorm, coda, MCMCglmm, Rdpack, graphics |
| Suggests: |
maptools, maps, MASS, sp, knitr, rmarkdown, RColorBrewer, captioner, rcrossref |
| Published: |
2018-11-19 |
| Author: |
Erica M. Porter, Matthew J. Keefe, Christopher T. Franck, and Marco A.R. Ferreira |
| Maintainer: |
Erica M. Porter <ericamp at vt.edu> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
ref.ICAR results |