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.


Reference manual

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0.6.16 by Brian J Smith, a year ago

Browse source code at

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