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Provides a variety of functions to analyze and model geostatistical count data with Gaussian copulas, including 1) data simulation and visualization; 2) correlation structure assessment (here also known as the Normal To Anything); 3) calculate multivariate normal rectangle probabilities; 4) likelihood inference and parallel prediction at predictive locations. Description of the method is available from: Han and DeOliveira (2018) <doi:10.18637/jss.v087.i13>.
Version: | 1.1.8 |
Depends: | R (≥ 3.2.5) |
Imports: | Rcpp (≥ 0.12.0) |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | EQL, FNN, lattice, latticeExtra, mvtnorm, Matrix, MASS, numDeriv, scatterplot3d, snowfall, sp |
Published: | 2022-07-02 |
DOI: | 10.32614/CRAN.package.gcKrig |
Author: | Zifei Han |
Maintainer: | Zifei Han <hanzifei1 at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
Citation: | gcKrig citation info |
CRAN checks: | gcKrig results |
Reference manual: | gcKrig.pdf |
Package source: | gcKrig_1.1.8.tar.gz |
Windows binaries: | r-devel: gcKrig_1.1.8.zip, r-release: gcKrig_1.1.8.zip, r-oldrel: gcKrig_1.1.8.zip |
macOS binaries: | r-release (arm64): gcKrig_1.1.8.tgz, r-oldrel (arm64): gcKrig_1.1.8.tgz, r-release (x86_64): gcKrig_1.1.8.tgz, r-oldrel (x86_64): gcKrig_1.1.8.tgz |
Old sources: | gcKrig archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.