CARrampsOcl (version 0.1.4)

Reparameterized and marginalized posterior sampling for conditional autoregressive models, OpenCL implementation

Description

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.

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Install

install.packages('CARrampsOcl')

Monthly Downloads

22

Version

0.1.4

License

GPL (>= 3)

Maintainer

Last Published

October 25th, 2013

Functions in CARrampsOcl (0.1.4)