Package: variosig 0.3-1
Craig Wang
variosig: Testing Spatial Dependence Using Empirical Variogram
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.
Authors:
variosig_0.3-1.tar.gz
variosig_0.3-1.tar.gz(r-4.7-any)variosig_0.3-1.tar.gz(r-4.6-any)
variosig_0.3-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
variosig/json (API)
NEWS
| # Install 'variosig' in R: |
| install.packages('variosig', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:5d83aa4d8b. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 118 | ||
| source / vignettes | OK | 200 | ||
| linux-release-x86_64 | OK | 121 | ||
| wasm-release | OK | 123 |
Dependencies:abindbriocallrclassclassIntclicrayonDBIdescdiffobje1071evaluateFNNfsgluegstatintervalsjsonliteKernSmoothlatticelifecyclemagrittrMASSpkgbuildpkgloadpraiseprocessxproxypsR6Rcpprlangrprojroots2sfsftimespspacetimestarstestthatunitswaldowithrwkxtszoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Testing Spatial Dependence Using Empirical Variogram | variosig-package |
| Generate Pointwise Variogram Envelope | envelope envelope.gstatVariogram envelope.variogram |
| Plot Empirical Variogram and its Pointwise Envelope | envplot |
| Determine Significance of Spatial Dependence Using Pointwise Variogram Envelope | envsig |