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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: 0.6.18
Depends: coda, maps, Matrix, nlme
Imports: fields, graphics, grDevices, methods, stats
Published: 2023-03-13
DOI: 10.32614/CRAN.package.ramps
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: https://www.jstatsoft.org/v25/i10
NeedsCompilation: no
Citation: ramps citation info
In views: Bayesian, Spatial
CRAN checks: ramps results

Documentation:

Reference manual: ramps.pdf

Downloads:

Package source: ramps_0.6.18.tar.gz
Windows binaries: r-devel: ramps_0.6.18.zip, r-release: ramps_0.6.18.zip, r-oldrel: ramps_0.6.18.zip
macOS binaries: r-release (arm64): ramps_0.6.18.tgz, r-oldrel (arm64): ramps_0.6.18.tgz, r-release (x86_64): ramps_0.6.18.tgz, r-oldrel (x86_64): ramps_0.6.18.tgz
Old sources: ramps archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.