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>.
|Author||Sean C. Anderson [aut, cre], Eric J. Ward [aut], Trustees of Columbia University [cph]|
|Maintainer||Sean C. Anderson <[email protected]>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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