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) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.1.7 by Zifei Han, 3 months ago

Browse source code at

Authors: Zifei Han

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Rcpp

Suggests EQL, FNN, gcmr, lattice, latticeExtra, mvtnorm, Matrix, MASS, numDeriv, scatterplot3d, snowfall, sp

Linking to Rcpp, RcppArmadillo

See at CRAN