CARramps: 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.

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)
Materials: INSTALL
CRAN checks: CARramps results

Downloads:

Reference manual: CARramps.pdf
Package source: CARramps_0.1.2.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
OS X Snow Leopard binaries: r-release: not available, r-oldrel: not available
OS X Mavericks binaries: r-release: not available