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.


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Reference manual

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install.packages("ramps")

0.6.16 by Brian J Smith, a year ago


http://www.jstatsoft.org/v25/i10


Browse source code at https://github.com/cran/ramps


Authors: Brian J Smith [aut, cre] , Jun Yan [aut] , Mary Kathryn Cowles [aut]


Documentation:   PDF Manual  


Task views: Bayesian Inference, Analysis of Spatial Data


GPL-2 license


Imports fields, graphics, grDevices, methods, stats

Depends on coda, maps, Matrix, nlme


See at CRAN