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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.8 |
rolling source/ R- | gcKrig_1.1.8.tar.gz |
92.8 KiB |
1.1.8 |
rolling linux/jammy R-4.5 | gcKrig_1.1.8.tar.gz |
331.0 KiB |
1.1.8 |
latest source/ R- | gcKrig_1.1.8.tar.gz |
92.8 KiB |
1.1.8 |
latest linux/jammy R-4.5 | gcKrig_1.1.8.tar.gz |
331.0 KiB |
1.1.8 |
2026-04-23 source/ R- | gcKrig_1.1.8.tar.gz |
92.8 KiB |
1.1.8 |
2026-04-09 windows/windows R-4.5 | gcKrig_1.1.8.zip |
653.7 KiB |
1.1.8 |
2025-04-20 source/ R- | gcKrig_1.1.8.tar.gz |
92.8 KiB |