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 glasgow.ac.uk> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| CRAN checks: |
CARBayesST results |
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