⚠️There's a newer version (0.6.18) of this package.Take me there.

ramps (version 0.5-2)

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.

Copy Link

Version

Install

install.packages('ramps')

Monthly Downloads

301

Version

0.5-2

License

GPL version 2 or newer

Maintainer

Brian Smith

Last Published

March 13th, 2023

Functions in ramps (0.5-2)

DIC

Deviance Information Criterion

expand.chain

Expand MCMC Samples for georamps Model Fits

window

Subsetting of MCMC Sampler Results

corClasses

Spatial Correlation Structure Classes

corRSpher

Spherical Spatial Correlation Structure

summary.ramps

Posterior Summaries of georamps Model Fits

corRMatern

Matern Spatial Correlation Structure

genUSStateGrid

Generating a Grid over a US State

ramps.control

Auxiliary for Controlling georamps Model Fitting

corRExp2

Non-Separable Exponential Spatio-Temporal Correlation Structure

corRLin

Linear Spatial Correlation Structure

plot

Posterior Spatial Distribution Plots

corRExpwr2

Non-Separable Powered Exponential Spatio-Temporal Correlation Structure

NURE

Dataset of USGS NURE Uranium Measurements

corRRatio

Rational Quadratic Spatial Correlation Structure

corRExp

Exponential Spatial Correlation Structure

corRWave

Sine Wave Spatial Correlation Structure

corRGaus

Gaussian Spatial Correlation Structure

param

Initialization of georamps Model Parameters

predict.ramps

Prediction Method for georamps Model Fits

corRExpwr

Powered Exponential Spatial Correlation Structure

corRExpwr2Dt

Non-Separable Temporally Integrated Powered Exponential Spatial Correlation Structure

georamps

Bayesian Geostatistical Model Fitting with RAMPS

genUSStateSites

Generating Random Sites in a US State