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gcKrig  

Analysis of Geostatistical Count Data using Gaussian Copulas
View on CRAN: Click here


Download and install gcKrig package within the R console
Install from CRAN:
install.packages("gcKrig")

Install from Github:
library("remotes")
install_github("cran/gcKrig")

Install by package version:
library("remotes")
install_version("gcKrig", "1.1.8")



Attach the package and use:
library("gcKrig")
Maintained by
Zifei Han
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-10
Latest Update: 2022-07-02
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) .
How to cite:
Zifei Han (2016). gcKrig: Analysis of Geostatistical Count Data using Gaussian Copulas. R package version 1.1.8, https://cran.r-project.org/web/packages/gcKrig. Accessed 27 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:41), 1.0.0 (2016-11-10 13:17), 1.0.1 (2016-12-07 08:43), 1.0.2 (2017-04-18 07:29), 1.1.0 (2017-09-30 05:17), 1.1.1 (2017-10-08 23:42), 1.1.2 (2018-07-31 17:00), 1.1.3 (2018-12-21 13:00), 1.1.4 (2020-05-29 10:50), 1.1.5 (2021-06-20 12:00), 1.1.6 (2021-06-22 09:50), 1.1.7 (2021-10-14 11:00)
Other packages that cited gcKrig R package
View gcKrig citation profile
Other R packages that gcKrig depends, imports, suggests or enhances
Complete documentation for gcKrig
Functions, R codes and Examples using the gcKrig R package
Some associated functions: AtlanticFish . FHUBdiscrete . LansingTrees . OilWell . Plotgc . Weed95 . beta.gc . binomial.gc . corr.gc . corrTG . gamma.gc . gaussian.gc . marginal.gc . matern.gc . mlegc . mvnintGHK . negbin.gc . plotmlegc . plotpredgc . plotsimgc . poisson.gc . powerexp.gc . predgc . profilemlegc . simgc . spherical.gc . summary.predgc . summarymlegc . vcovmlegc . weibull.gc . zip.gc . 
Some associated R codes: Plotgc.R . S3Methods.R . TwoMethods.R . gcClass.R . mvnintGHK.R . predGHK.R . predGQT.R . simFHUB.R .  Full gcKrig package functions and examples
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