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glmmfields: Generalized Linear Mixed Models with Robust Random Fields for Spatiotemporal Modeling
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>.
Getting started
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Package details |
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| Author | Sean C. Anderson [aut, cre], Eric J. Ward [aut], Trustees of Columbia University [cph] |
| Maintainer | Sean C. Anderson <sean@seananderson.ca> |
| License | GPL (>= 3) |
| Version | 0.1.8 |
| URL | https://github.com/seananderson/glmmfields |
| Package repository | View on CRAN |
| Installation |
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