Reparameterized and marginalized posterior sampling for conditional autoregressive models 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. Software Suggests: coda Kate Cowles <kate-cowles@uiowa.edu> Kate Cowles and Stephen Bonett; with thanks to Juan Cervantes, Dong Liang, Alex Sawyer, and Michael Seedorff GPL (>= 3) 2011-12-02 application/tgz http://CRAN.R-project.org/package=CARramps