Generalized Linear Mixed Models with Robust Random Fields for Spatiotemporal Modeling
Format data for fitting a glmmfields model
The 'glmmfields' package.
Fit a spatiotemporal random fields GLMM
Lognormal family
Return LOO information criteria
Negative binomial family
Plot predictions from an glmmfields model
Predict from a glmmfields model
Student-t and half-t priors
Simulate a random field with a MVT distribution
Return a vector of parameters
Tidy model output
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) <doi:10.1002/ecy.2403>.
Useful links