gcKrig: Analysis of Geostatistical Count Data using Gaussian Copulas

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) <doi:10.18637/jss.v087.i13>.

Getting started

Package details

AuthorZifei Han
MaintainerZifei Han <hanzifei1@gmail.com>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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gcKrig documentation built on July 3, 2022, 1:05 a.m.