R: Bayesian Geostatistical Modeling with RAMPS

# Bayesian Geostatistical Modeling with RAMPS

## Documentation for package ‘ramps’ version 0.6.18

- DESCRIPTION file

## Help Pages

corRCauchy | Cauchy Spatial Correlation Structure
corRClasses | Spatial Correlation Structure Classes
corRExp | Exponential Spatial Correlation Structure
corRExp2 | Non-Separable Exponential Spatio-Temporal Correlation Structure
corRExpwr | Powered Exponential Spatial Correlation Structure
corRExpwr2 | Non-Separable Powered Exponential Spatio-Temporal Correlation Structure
corRExpwr2Dt | Non-Separable Temporally Integrated Powered Exponential Spatial Correlation Structure
corRGaus | Gaussian Spatial Correlation Structure
corRGneit | Gneiting Spatial Correlation Structure
corRLin | Linear Spatial Correlation Structure
corRMatern | Matern Spatial Correlation Structure
corRSpher | Spherical Spatial Correlation Structure
corRWave | Sine Wave Spatial Correlation Structure
DIC | Deviance Information Criterion
DIC.ramps | Deviance Information Criterion
expand.chain | Expand MCMC Samples for georamps Model Fits
genUSStateGrid | Generating a Grid over a US State
genUSStateSites | Generating Random Sites in a US State
georamps | Bayesian Geostatistical Model Fitting with RAMPS
NURE | Dataset of USGS NURE Uranium Measurements
NURE.grid | Dataset of USGS NURE Uranium Measurements
param | Initialization of georamps Model Parameters
plot.predict.ramps | Posterior Spatial Distribution Plots
plot.ramps | Posterior Spatial Distribution Plots
predict.ramps | Prediction Method for georamps Model Fits
print.ramps | Bayesian Geostatistical Model Fitting with RAMPS
ramps.control | Auxiliary for Controlling georamps Model Fitting
simGrid | Dataset of Simulated Measurements from JSS Publication
simIowa | Dataset of Simulated Measurements from JSS Publication
simJSS | Dataset of Simulated Measurements from JSS Publication
summary.ramps | Posterior Summaries of georamps Model Fits
window.predict.ramps | Subsetting of MCMC Sampler Results
window.ramps | Subsetting of MCMC Sampler Results