This package fits Bayesian conditional autoregressive
models for spatial and spatiotemporal data on a lattice. It
uses Nvidia GPUs to perform rejection sampling to obtain
independent samples from the joint posterior distribution of
model parameters.
| Version: |
0.1.2 |
| Suggests: |
coda |
| Published: |
2012-10-29 |
| Author: |
Kate Cowles and Stephen Bonett; with thanks to Juan Cervantes,
Dong Liang, Alex Sawyer, and Michael Seedorff |
| Maintainer: |
Kate Cowles <kate-cowles at uiowa.edu> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
yes |
| SystemRequirements: |
Nvidia CUDA driver (>= 270.xx.xx), Nvidia CUDA
Toolkit (>= release 3.0) |
| Installation: |
CARramps installation info |
| CRAN checks: |
CARramps results |