Objective Bayes Intrinsic Conditional Autoregressive Model for Areal Data R package ref.ICAR version 2.0.2 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. Software Imports: sf, sp, spdep, mvtnorm, coda, MCMCglmm, Rdpack, graphics, pracma, stats, classInt, dplyr, ggplot2, gtools Suggests: maps, MASS, knitr, rmarkdown, RColorBrewer, rcrossref, spData, formatR Erica M. Porter <emporte@clemson.edu> Comprehensive R Archive Network (CRAN) Erica M. Porter [aut, cre], Matthew J. Keefe [aut], Christopher T. Franck [aut], Marco A.R. Ferreira [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=ref.ICAR/LICENSE) 2025-01-22 application/tgz https://CRAN.R-project.org/package=ref.ICAR doi:10.32614/CRAN.package.ref.ICAR