This work describes the R package gcKrig for the analysis of geostatistical count data using Gaussian copulas. The package performs likelihood-based inference and spatial prediction using Gaussian copula models with discrete marginals. Two different classes of methods are implemented to evaluate/approximate the likelihood and the predictive distribution. https://www.diegojavierfares.com/limited-save-1-64-Lowndes-2010-Triple-Eight-Race-Engineering-Suits-Holden-VE-Commodore-64168-special-save/
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