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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=gcKrig to link to this page.
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