[aut,
cre],
Reinhard Furrer
[ctb]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 |
| Depends: | R (≥ 3.1.0) |
| Imports: | gstat, geoR, sp, testthat |
| Published: | 2018-12-20 |
| Author: | Craig Wang [aut,
cre],
Reinhard Furrer
[ctb] |
| Maintainer: | Craig Wang <craig.wang at uzh.ch> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Citation: | variosig citation info |
| Materials: | NEWS |
| CRAN checks: | variosig results |
| Reference manual: | variosig.pdf |
| Package source: | variosig_0.3.tar.gz |
| Windows binaries: | r-devel: variosig_0.3.zip, r-devel-gcc8: variosig_0.3.zip, r-release: variosig_0.3.zip, r-oldrel: variosig_0.3.zip |
| OS X binaries: | r-release: variosig_0.3.tgz, r-oldrel: variosig_0.3.tgz |
| Old sources: | variosig archive |
Please use the canonical form https://CRAN.R-project.org/package=variosig to link to this page.