glmmfields (0.1.3)

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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) .

Maintainer: Sean C. Anderson
Author(s): Sean C. Anderson [aut, cre], Eric J. Ward [aut], Trustees of Columbia University [cph]

License: GPL (>= 3)

Uses: assertthat, broom, cluster, dplyr, forcats, ggplot2, loo, mvtnorm, nlme, Rcpp, reshape2, rstan, rstantools, coda, testthat, knitr, rmarkdown, viridis, bayesplot

Released 6 months ago.

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