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.zip(r-4.7)variosig_0.3-1.zip(r-4.6)variosig_0.3-1.zip(r-4.5)
variosig_0.3-1.tgz(r-4.6-any)variosig_0.3-1.tgz(r-4.5-any)
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://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

On CRAN:

Conda:

archivedpackagesr-universe

1.78 score 5 stars 12 scripts 181 downloads 3 exports 46 dependencies

Last updated from:7f28d7788b (on package/variosig). Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK152
source / vignettesOK188
linux-release-x86_64OK140
macos-release-arm64OK112
macos-oldrel-arm64OK93
windows-develOK120
windows-releaseOK78
windows-oldrelOK92
wasm-releaseOK117

Exports:envelopeenvplotenvsig

Dependencies:abindbriocallrclassclassIntclicrayonDBIdescdiffobje1071evaluateFNNfsgluegstatintervalsjsonliteKernSmoothlatticelifecyclemagrittrMASSpkgbuildpkgloadpraiseprocessxproxypsR6Rcpprlangrprojroots2sfsftimespspacetimestarstestthatunitswaldowithrwkxtszoo