Analysis of Geostatistical Count Data using Gaussian Copulas
Description
Provides a variety of functions to analyze and model
geostatistical count data with Gaussian copulas, including
1) data simulation and visualization;
2) correlation structure assessment (here also known as the Normal To Anything);
3) calculate multivariate normal rectangle probabilities;
4) likelihood inference and parallel prediction at predictive locations.
Description of the method is available from: Han and DeOliveira (2018) .