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ramps (version 0.6.19)

Bayesian Geostatistical Modeling with RAMPS

Description

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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Version

Install

install.packages('ramps')

Monthly Downloads

524

Version

0.6.19

License

GPL-2

Maintainer

Brian Smith

Last Published

August 21st, 2026

Functions in ramps (0.6.19)

genUSStateSites

Generating Random Sites in a US State
corRMatern

Matern Spatial Correlation Structure
corRGneit

Gneiting Spatial Correlation Structure
param

Initialization of georamps Model Parameters
georamps

Bayesian Geostatistical Model Fitting with RAMPS
genUSStateGrid

Generating a Grid over a US State
plot

Posterior Spatial Distribution Plots
corRSpher

Spherical Spatial Correlation Structure
ramps.control

Auxiliary for Controlling georamps Model Fitting
predict.ramps

Prediction Method for georamps Model Fits
summary.ramps

Posterior Summaries of georamps Model Fits
window

Subsetting of MCMC Sampler Results
simJSS

Dataset of Simulated Measurements from JSS Publication
corRExpwr2Dt

Non-Separable Temporally Integrated Powered Exponential Spatial Correlation Structure
corRClasses

Spatial Correlation Structure Classes
NURE

Dataset of USGS NURE Uranium Measurements
corRGaus

Gaussian Spatial Correlation Structure
corRCauchy

Cauchy Spatial Correlation Structure
corRExpwr

Powered Exponential Spatial Correlation Structure
corRExp

Exponential Spatial Correlation Structure
corRExp2

Non-Separable Exponential Spatio-Temporal Correlation Structure
corRWave

Sine Wave Spatial Correlation Structure
expand.chain

Expand MCMC Samples for georamps Model Fits
corRExpwr2

Non-Separable Powered Exponential Spatio-Temporal Correlation Structure
corRLin

Linear Spatial Correlation Structure
DIC

Deviance Information Criterion