gcKrig: Analysis of Geostatistical Count Data using Gaussian Copulas (original) (raw)
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 |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | gcKrig citation info |
| CRAN checks: | gcKrig results |
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