DESCRIPTION

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) <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,
    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
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
SystemRequirements: GNU make
NeedsCompilation: yes
Biarch: true