CARramps
0.1.2Reparameterized and marginalized posterior sampling for conditional autoregressive models
Overview
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.
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Documentation
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People & History
1 release. R releases are shown for context.
- RR 3.3.0 released · 2016-05-03
- archivedRemoved from CRAN2015-11-21check problems were not corrected despite reminders
- RR 3.2.0 released · 2015-04-16
- RR 3.1.0 released · 2014-04-10
- RR 3.0.0 released · 2013-04-03
- RR 2.15.0 released · 2012-03-30
- 0.1.22011-11-30
- RR 2.14.0 released · 2011-10-31
Package metadata
- Total releases
- 1
- License
- GPL (>= 3) OSI
- Bundled data
- 1.4 KB / 1 file
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