ref.ICAR: Objective Bayes Intrinsic Conditional Autoregressive Model for Areal Data

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>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: ref.ICAR results


Reference manual: ref.ICAR.pdf
Vignettes: Applying an ICAR reference prior


Package source: ref.ICAR_2.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ref.ICAR_2.0.1.tgz, r-oldrel (arm64): ref.ICAR_2.0.1.tgz, r-release (x86_64): ref.ICAR_2.0.1.tgz, r-oldrel (x86_64): ref.ICAR_2.0.1.tgz
Old sources: ref.ICAR archive


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