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
Installation Install the latest version of this package by entering the following in R:

Try the gcKrig package in your browser

Any scripts or data that you put into this service are public.

gcKrig documentation built on Oct. 14, 2021, 9:12 a.m.