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 + file LICENSE |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | ref.ICAR results |
Reference manual: | ref.ICAR.pdf |
Vignettes: |
Applying an ICAR reference prior (source, R code) |
Package source: | ref.ICAR_2.0.2.tar.gz |
Windows binaries: | r-devel: ref.ICAR_2.0.2.zip, r-release: ref.ICAR_2.0.2.zip, r-oldrel: ref.ICAR_2.0.2.zip |
macOS binaries: | r-devel (arm64): ref.ICAR_2.0.2.tgz, r-release (arm64): ref.ICAR_2.0.2.tgz, r-oldrel (arm64): ref.ICAR_2.0.2.tgz, r-devel (x86_64): ref.ICAR_2.0.2.tgz, r-release (x86_64): ref.ICAR_2.0.2.tgz, r-oldrel (x86_64): ref.ICAR_2.0.2.tgz |
Old sources: | ref.ICAR archive |
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