CARrampsOcl (0.1.4)

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

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.

Maintainer: Kate Cowles
Author(s): Kate Cowles and Michael Seedorff and Alex Sawyer

License: GPL (>= 3)

Uses: Does not use any package

Released about 6 years ago.



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