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: 0.6-14
Depends: coda, maps, Matrix, nlme
Imports: fields, graphics, grDevices, methods, stats
Published: 2016-06-29
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
URL: http://www.jstatsoft.org/v25/i10
NeedsCompilation: no
Citation: ramps citation info
In views: Bayesian, Spatial
CRAN checks: ramps results


Reference manual: ramps.pdf
Package source: ramps_0.6-14.tar.gz
Windows binaries: r-devel: ramps_0.6-14.zip, r-release: ramps_0.6-14.zip, r-oldrel: ramps_0.6-14.zip
OS X El Capitan binaries: r-release: ramps_0.6-14.tgz
OS X Mavericks binaries: r-oldrel: ramps_0.6-14.tgz
Old sources: ramps archive


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