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variosig  

Testing Spatial Dependence Using Empirical Variogram
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("variosig", "0.3-1")



Attach the package and use:
library("variosig")
Maintained by
Craig Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-14
Latest Update: 2020-02-09
Description:
Applying Monte Carlo permutation to generate pointwise variogram envelope and checking for spatial dependence at different scales using permutation test. Empirical Brown's method and Fisher's method are used to compute overall p-value for hypothesis test.
How to cite:
Craig Wang (2017). variosig: Testing Spatial Dependence Using Empirical Variogram. R package version 0.3-1, https://cran.r-project.org/web/packages/variosig. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.1 (2017-11-14 10:21), 0.2 (2018-11-08 20:00), 0.3-1 (2020-02-09 20:20), 0.3 (2018-12-20 16:50)
Other packages that cited variosig R package
View variosig citation profile
Other R packages that variosig depends, imports, suggests or enhances
Complete documentation for variosig
Functions, R codes and Examples using the variosig R package
Some associated functions: envelope . envplot . envsig . variosig-package . 
Some associated R codes: envelope.R . envplot.R . envsig.R .  Full variosig package functions and examples
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