ramps: Bayesian Geostatistical Modeling with RAMPS

Bayesian geostatistical modeling of Gaussian processes using a reparameterized and marginalized posterior sampling (RAMPS) algorithm designed to lower autocorrelation in MCMC samples. Package performance is tuned for large spatial datasets.

Version: 0.6-10
Depends: R (≥ 2.5.1), coda, fields, Matrix (≥ 0.999375-10), maps, methods, nlme
Published: 2011-08-17
Author: Brian J. Smith, Jun Yan, and Mary Kathryn Cowles
Maintainer: Brian J. Smith <brian-j-smith at uiowa.edu>
License: GPL-2
Citation: ramps citation info
In views: Bayesian, Spatial
CRAN checks: ramps results

Downloads:

Package source: ramps_0.6-10.tar.gz
MacOS X binary: ramps_0.6-10.tgz
Windows binary: ramps_0.6-10.zip
Reference manual: ramps.pdf
Old sources: ramps archive