Bayesian Geostatistical Modeling with RAMPS
Cauchy Spatial Correlation Structure
Spatial Correlation Structure Classes
Exponential Spatial Correlation Structure
Non-Separable Exponential Spatio-Temporal Correlation Structure
Powered Exponential Spatial Correlation Structure
Non-Separable Powered Exponential Spatio-Temporal Correlation Structur...
Non-Separable Temporally Integrated Powered Exponential Spatial Correl...
Gaussian Spatial Correlation Structure
Gneiting Spatial Correlation Structure
Linear Spatial Correlation Structure
Matern Spatial Correlation Structure
Spherical Spatial Correlation Structure
Sine Wave Spatial Correlation Structure
Deviance Information Criterion
Expand MCMC Samples for georamps Model Fits
Generating a Grid over a US State
Generating Random Sites in a US State
Bayesian Geostatistical Model Fitting with RAMPS
Initialization of georamps Model Parameters
Posterior Spatial Distribution Plots
Prediction Method for georamps Model Fits
Auxiliary for Controlling georamps Model Fitting
Posterior Summaries of georamps Model Fits
Subsetting of MCMC Sampler Results
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.