Type: Package
Package: glmmfields
Title: Generalized Linear Mixed Models with Robust Random Fields for
        Spatiotemporal Modeling
Version: 0.1.4
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) <doi:10.1002/ecy.2403>.
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,
        reshape2, rstan (>= 2.18.2), rstantools (>= 1.5.1), tibble
Suggests: bayesplot, coda, knitr, parallel, rmarkdown, testthat,
        viridis
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.8), RcppEigen (>= 0.3.3.3.0),
        rstan (>= 2.18.2), StanHeaders (>= 2.18.0)
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.1.1
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2020-07-09 04:02:12 UTC; seananderson
Author: Sean C. Anderson [aut, cre],
  Eric J. Ward [aut],
  Trustees of Columbia University [cph]
Maintainer: Sean C. Anderson <sean@seananderson.ca>
Repository: CRAN
Date/Publication: 2020-07-09 05:50:03 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 13:38:39 UTC; windows
Archs: i386, x64
