Package: variosig
Type: Package
Imports: gstat, sp, testthat
Suggests: geoR
Depends: R (>= 3.1.0)
Title: Testing Spatial Dependence Using Empirical Variogram
Version: 0.3-1
Authors@R: c(
    person("Craig", "Wang", email = "craig.wang@math.uzh.ch", role = c("aut","cre"),comment = c(ORCID = "0000-0003-1804-2463")),
    person("Reinhard", "Furrer", email = "reinhard.furrer@math.uzh.ch", role = "ctb",comment = c(ORCID = "0000-0002-6319-2332")))
Maintainer: Craig Wang <craig.wang@math.uzh.ch>
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.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2020-02-08 12:18:49 UTC; crwang
Author: Craig Wang [aut, cre] (<https://orcid.org/0000-0003-1804-2463>),
  Reinhard Furrer [ctb] (<https://orcid.org/0000-0002-6319-2332>)
Repository: CRAN
Date/Publication: 2020-02-09 19:20:02 UTC
Built: R 4.4.3; ; 2025-10-13 11:32:22 UTC; windows
