This package fits Bayesian conditional autoregressive models for spatial and spatiotemporal data on a lattice. It uses OpenCL kernels running on GPUs to perform rejection sampling to obtain independent samples from the joint posterior distribution of model parameters.
| Version: | 0.1.4 |
| Imports: | OpenCL, fields |
| Suggests: | coda |
| Published: | 2013-10-25 |
| Author: | Kate Cowles and Michael Seedorff and Alex Sawyer |
| Maintainer: | Kate Cowles <kate-cowles at uiowa.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| SystemRequirements: | OpenCL library; double-precision AMD or Nvidia GPU; GNU make |
| Materials: | INSTALL |
| CRAN checks: | CARrampsOcl results |
| Reference manual: | CARrampsOcl.pdf |
| Package source: | CARrampsOcl_0.1.4.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| OS X binaries: | r-release: not available, r-oldrel: not available |
| Old sources: | CARrampsOcl archive |
Please use the canonical form https://CRAN.R-project.org/package=CARrampsOcl to link to this page.