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.
| Version: | 1.1.4 |
| Depends: | R (≥ 3.2.5) |
| Imports: | Rcpp (≥ 0.12.0) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | EQL, FNN, lattice, latticeExtra, Matrix, MASS, numDeriv, scatterplot3d, snowfall, sp |
| Published: | 2020-05-29 |
| 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_1.1.4.tar.gz |
| Windows binaries: | r-devel: gcKrig_1.1.4.zip, r-release: gcKrig_1.1.4.zip, r-oldrel: gcKrig_1.1.4.zip |
| macOS binaries: | r-release: gcKrig_1.1.4.tgz, r-oldrel: gcKrig_1.1.4.tgz |
| Old sources: | gcKrig archive |
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