Type: Package Package: glmmfields Title: Generalized Linear Mixed Models with Robust Random Fields for Spatiotemporal Modeling Version: 0.1.8 Authors@R: c(person(given = c("Sean", "C."), family = "Anderson", role = c("aut", "cre"), email = "sean@seananderson.ca"), person(given = c("Eric", "J."), family = "Ward", role = "aut"), person(given = "Trustees of", family = "Columbia University", role = "cph")) Description: 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) . License: GPL (>= 3) URL: https://github.com/seananderson/glmmfields BugReports: https://github.com/seananderson/glmmfields/issues Depends: methods, R (>= 3.4.0), Rcpp (>= 0.12.18) Imports: assertthat, broom, broom.mixed, cluster, dplyr (>= 0.8.0), forcats, ggplot2 (>= 2.2.0), loo (>= 2.0.0), mvtnorm, nlme, RcppParallel (>= 5.0.1), reshape2, rstan (>= 2.26.0), rstantools (>= 2.1.1), tibble Suggests: bayesplot, coda, knitr, parallel, rmarkdown, testthat, viridis LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.8), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), StanHeaders (>= 2.26.0) VignetteBuilder: knitr Encoding: UTF-8 RoxygenNote: 7.2.3 SystemRequirements: GNU make NeedsCompilation: yes Biarch: true Packaged: 2026-10-29 09:58:10 UTC; root Author: Sean C. Anderson [aut, cre], Eric J. Ward [aut], Trustees of Columbia University [cph] Maintainer: Sean C. Anderson Config/pak/sysreqs: make Repository: https://cran.r-universe.dev Date/Publication: 2023-10-20 18:30:24 UTC RemoteUrl: https://github.com/cran/glmmfields RemoteRef: HEAD RemoteSha: af8c1571cf8940a955a0567c51afda93e82683d9