README.md

In BayesMRA: Bayesian Multi-Resolution Gaussian Process Approximations

BayesMRA

An R package for Bayesian spatial and spatio-temporal regression using sparse multi-resolution matrices. This package includes functions for setting up the multi-resolution process and a function mcmc_mra() for fitting a spatial model using Markov Chain Monte Carlo. For details about the model and an example using simulated data, see vignette("BayesMRA").

Installation

Package Installation

If this is your first time installing this package, make sure you have the appropriate compiler.

Installation from gitHub using devtools

To install the package from gitHub, make sure you have the appropriate compiler. Next, make sure you have the devtools package installed. You can install the devtools package using

install.packages("devtools")

Once the devtools library is installed, you can install the BayesMRA library using

devtools::install_github("jtipton25/BayesMRA")

Note: It is recommended to regularly check for updates by using devtools::install_github("jtipton25/BayesMRA") frequently as this package is in active development and regularly undergoes large changes

Installation from CRAN

Installation from CRAN is not currently supported (hopefully coming soon).

Make sure you have the appropriate compiler

• Linux: It is assumed on Linux systems, the appropriate compiler is available

• Windows: For Windows, download and install RTools. For R (>=4.0.0) follow the instructions here – older versions of R follow the instructions here.

• MacOS: If you are on a Mac, make sure you have an openMP supported compiler – see here for instructions on how to get this setup. Follow the instructions for your specific version of R

BayesMRA documentation built on Aug. 18, 2020, 5:08 p.m.