gcKrig: Analysis of Geostatistical Count Data using Gaussian Copulas

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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