CARBayesST: Poisson Log-linear Models with Spatio-temporal Random Effects

Implements a series of Poisson log-linear models with spatio-temporal random effects. The spatial and temporal autocorrelation in the random effects are induced using the class of Conditional AutoRegressive (CAR) priors, which are a special case of Gaussian Markov Random Fields (GMRF). All models are fitted in a Bayesian context using Markov chain Monte Carlo (McMC) simulation.

Version: 1.1
Depends: R (≥ 3.0.0), Rcpp (≥ 0.11.2)
Imports: spam, truncdist, coda
LinkingTo: Rcpp
Published: 2014-11-14
Author: Duncan Lee and Alastair Rushworth
Maintainer: Duncan Lee <Duncan.Lee at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: CARBayesST results


Reference manual: CARBayesST.pdf
Package source: CARBayesST_1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: CARBayesST_1.1.tgz, r-oldrel: CARBayesST_1.1.tgz
OS X Mavericks binaries: r-release: CARBayesST_1.1.tgz
Old sources: CARBayesST archive