CARramps (0.1.2)

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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.

Maintainer: Kate Cowles
Author(s): Kate Cowles and Stephen Bonett; with thanks to Juan Cervantes, Dong Liang, Alex Sawyer, and Michael Seedorff

License: GPL (>= 3)

Uses: coda

Released almost 8 years ago.



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