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.

Install the latest version of this package by entering the following in R:
AuthorBrian J Smith [aut, cre], Jun Yan [aut], Mary Kathryn Cowles [aut]
Date of publication2016-06-29 23:30:36
MaintainerBrian J Smith <brian-j-smith@uiowa.edu>

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corRCauchy Man page
corRClasses Man page
corRExp Man page
corRExp2 Man page
corRExpwr Man page
corRExpwr2 Man page
corRExpwr2Dt Man page
corRGaus Man page
corRGneit Man page
corRLin Man page
corRMatern Man page
corRSpher Man page
corRWave Man page
DIC Man page
DIC.ramps Man page
expand.chain Man page
genUSStateGrid Man page
genUSStateSites Man page
georamps Man page
NURE Man page
NURE.grid Man page
param Man page
plot.predict.ramps Man page
plot.ramps Man page
predict.ramps Man page
print.ramps Man page
ramps.control Man page
simGrid Man page
simIowa Man page
simJSS Man page
summary.ramps Man page
window.predict.ramps Man page
window.ramps Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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