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: 0.6-13
Depends: coda, maps, Matrix, nlme
Imports: fields, methods
Published: 2015-02-16
Author: Brian J Smith [aut, cre], Jun Yan [aut], Mary Kathryn Cowles [aut]
Maintainer: Brian J Smith <brian-j-smith at uiowa.edu>
License: GPL-2
NeedsCompilation: no
Citation: ramps citation info
In views: Bayesian, Spatial
CRAN checks: ramps results


Reference manual: ramps.pdf
Package source: ramps_0.6-13.tar.gz
Windows binaries: r-devel: ramps_0.6-13.zip, r-release: ramps_0.6-13.zip, r-oldrel: ramps_0.6-13.zip
OS X Snow Leopard binaries: r-release: ramps_0.6-13.tgz, r-oldrel: ramps_0.6-13.tgz
OS X Mavericks binaries: r-release: ramps_0.6-13.tgz
Old sources: ramps archive