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:
2.0.2
Imports:
sf,
sp,
spdep,
mvtnorm,
coda,
MCMCglmm,
Rdpack, graphics,
pracma, stats,
classInt,
dplyr,
ggplot2,
gtools
Published:
2025年01月22日
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>
NeedsCompilation:
no
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=ref.ICAR
to link to this page.