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>.

Package details

AuthorSean C. Anderson [aut, cre], Eric J. Ward [aut], Trustees of Columbia University [cph]
MaintainerSean C. Anderson <[email protected]>
LicenseGPL (>= 3)
Version0.1.3
URL https://github.com/seananderson/glmmfields
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("glmmfields")

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glmmfields documentation built on May 18, 2019, 9 a.m.