kflagg / poisDPmix

poisDPmix: R package to fit Bayesian spatial Cox process models with Dirchlet process mixture intensities

This package implements the methods of Flagg, Hoegh, and Borkowski (2020) "Modeling Partially Surveyed Point Process Data: Inferring Spatial Point Intensity of Geomagnetic Anomalies", JABES and supports the example code accompanying that paper.

The package is not under active development so new features are unlikely to appear. However, if you find bugs or have trouble installing it, please open an issue on Github.

Dependencies

R packages:

• coda
• mixtools
• mvtnorm
• Rcpp
• RcppArmadillo
• rgdal
• spatstat

Other libraries:

• libgdal

Installation option 1

If you have GNU-style build tools, simply clone this repo and run:

make

Installation option 2

Clone this repo. Open an R terminal in the poisDPmix/ directory. In R, run:

Rcpp::compileAttributes(verbose = TRUE)

Then, in a command line terminal, go into the poisDPmix/ directory and run:

R CMD INSTALL .