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 |
| 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.