Generalized Linear Mixed Models with Robust Random Fields for
Spatiotemporal Modeling
Description
Implements Bayesian spatial and spatiotemporal
models that optionally allow for extreme spatial deviations through
time. 'glmmfields' uses a predictive process approach with random
fields implemented through a multivariate-t distribution instead of
the usual multivariate normal. Sampling is conducted with 'Stan'.
References: Anderson and Ward (2019) .