variosig-package: Testing Spatial Dependence Using Empirical Variogram
In variosig: Testing Spatial Dependence Using Empirical Variogram
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.
Details
Package: variosig
Type: Package
Version: 0.3-1
Date: 2020-02-08
License: GPL (>= 3)
LazyLoad: yes
Author(s)
Craig Wang craig.wang@uzh.ch
variosig documentation built on Feb. 10, 2020, 1:06 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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.
Details
| Package: | variosig |
| Type: | Package |
| Version: | 0.3-1 |
| Date: | 2020-02-08 |
| License: | GPL (>= 3) |
| LazyLoad: | yes |
Author(s)
Craig Wang craig.wang@uzh.ch
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.