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: 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

Downloads:

Reference manual: ref.ICAR.pdf
Vignettes: Applying an ICAR reference prior
Package source: ref.ICAR_1.0.tar.gz
Windows binaries: r-devel: ref.ICAR_1.0.zip, r-devel-gcc8: ref.ICAR_1.0.zip, r-release: ref.ICAR_1.0.zip, r-oldrel: ref.ICAR_1.0.zip
OS X binaries: r-release: ref.ICAR_1.0.tgz, r-oldrel: ref.ICAR_1.0.tgz

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