Installation
About
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.
| Citation | glmmfields citation info |
| github.com/seananderson/glmmfields | |
| System requirements | GNU make |
| Bug report | File report |
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