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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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