CARBayes: Spatial Generalised Linear Mixed Models for Areal Unit Data

Implements a class of univariate and multivariate spatial generalised linear mixed models for areal unit data, with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC) simulation. The response variable can be binomial, Gaussian or Poisson. Spatial autocorrelation is modelled by a set of random effects, which are assigned a conditional autoregressive (CAR) prior distribution. A number of different CAR priors are available for the random effects, including a multivariate CAR (MCAR) model for multivariate spatial data. Full details are given in the vignette accompanying this package. The initial creation of this package was supported by the Economic and Social Research Council (ESRC) grant RES-000-22-4256, and on-going development was supported by the Engineering and Physical Science Research Council (EPSRC) grant EP/J017442/1.

Version: 4.7
Depends: MASS, R (≥ 3.0.0), Rcpp (≥ 0.11.5)
Imports: CARBayesdata, coda, matrixcalc, MCMCpack, sp, spam, spdep, stats, truncnorm, utils
LinkingTo: Rcpp
Suggests: boot, deldir, foreign, grid, maptools, Matrix, nlme, shapefiles, splines
Published: 2017-02-01
Author: Duncan Lee
Maintainer: Duncan Lee <Duncan.Lee at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: CARBayes citation info
In views: Spatial
CRAN checks: CARBayes results


Reference manual: CARBayes.pdf
Vignettes: Vignette for CARBayes package.
Package source: CARBayes_4.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: CARBayes_4.7.tgz, r-oldrel: CARBayes_4.7.tgz
Old sources: CARBayes archive

Reverse dependencies:

Reverse suggests: lsmeans


Please use the canonical form to link to this page.