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-4.5-noble)variosig_0.3-1.tar.gz(r-4.4-noble)
variosig_0.3-1.tgz(r-4.4-emscripten)variosig_0.3-1.tgz(r-4.3-emscripten)
variosig.pdf |variosig.html✨
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 5 years agofrom:5d83aa4d8b. Checks:2 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 20 2025 |
| R-4.5-linux | OK | Feb 20 2025 |
Dependencies:abindbriocallrclassclassIntclicrayonDBIdescdiffobjdigeste1071evaluateFNNfsgluegstatintervalsjsonliteKernSmoothlatticelifecyclemagrittrMASSpkgbuildpkgloadpraiseprocessxproxypsR6Rcpprlangrprojroots2sfsftimespspacetimestarstestthatunitswaldowithrwkxtszoo
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 |