CARrampsOcl: Reparameterized and marginalized posterior sampling for conditional autoregressive models, OpenCL implementation
Version 0.1.4

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.

Package details

AuthorKate Cowles and Michael Seedorff and Alex Sawyer
Date of publication2013-10-25 18:55:12
MaintainerKate Cowles <[email protected]>
LicenseGPL (>= 3)
Version0.1.4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("CARrampsOcl")

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CARrampsOcl documentation built on May 29, 2017, 4:47 p.m.