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gcKrig
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]
[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 08 Mar. 2026.
Previous versions and publish date:
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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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