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.
Version: 0.3-1 Depends: R (≥ 3.1.0) Imports: gstat, sp, testthat Suggests: geoR Published: 2020-02-09 DOI: 10.32614/CRAN.package.variosig Author: Craig Wang [aut, cre], Reinhard Furrer [ctb] Maintainer: Craig Wang <craig.wang at math.uzh.ch> License: GPL (≥ 3) NeedsCompilation: no Citation: variosig citation info Materials: NEWS CRAN checks: variosig results Documentation: Reference manual: variosig.html , variosig.pdf Downloads: Package source: variosig_0.3-1.tar.gz Windows binaries: r-devel: variosig_0.3-1.zip, r-release: variosig_0.3-1.zip, r-oldrel: variosig_0.3-1.zip macOS binaries: r-release (arm64): variosig_0.3-1.tgz, r-oldrel (arm64): variosig_0.3-1.tgz, r-release (x86_64): variosig_0.3-1.tgz, r-oldrel (x86_64): variosig_0.3-1.tgz Old sources: variosig archive Linking:Please use the canonical form https://CRAN.R-project.org/package=variosig to link to this page.
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