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:Craig Wang [aut, cre], Reinhard Furrer [ctb]

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'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 7 scripts 144 downloads 3 exports 54 dependencies

Last updated 5 years agofrom:5d83aa4d8b. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 23 2024
R-4.5-linuxOKOct 23 2024

Exports:envelopeenvplotenvsig

Dependencies:abindbriocallrclassclassIntclicrayonDBIdescdiffobjdigeste1071evaluatefansiFNNfsgluegstatintervalsjsonliteKernSmoothlatticelifecyclemagrittrMASSpillarpkgbuildpkgconfigpkgloadpraiseprocessxproxypsR6Rcpprematch2rlangrprojroots2sfsftimespspacetimestarstestthattibbleunitsutf8vctrswaldowithrwkxtszoo