"Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal " by Matthew Sainsbury-Dale, Andrew Zammit- Mangion et al.
Non-Gaussian spatial and spatio-temporal data are becoming increasingly prevalent, and their analysis is needed in a variety of disciplines. FRK is an R package for spatial and spatio-temporal modeling and prediction with very large data sets that, to date, has only supported linear process models and Gaussian data models. In this paper, we describe a major upgrade to FRK that allows for non-Gaussian data to be analyzed in a generalized linear mixed model framework. These vastly more general spatial and spatio-temporal models are fitted using the Laplace approximation via the software TMB. The...
Source: uow.edu.au