Package: SpatGC
Type: Package
Title: Bayesian Modeling of Spatial Count Data
Version: 0.1.0
Authors@R: c(
    person("Mahsa", "Nadifar", email = "mahsa.nst@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9130-125X")),
    person("Hossein", "Baghishani", email = "hbaghishani@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-6396-0303"))
    )
Maintainer: Mahsa Nadifar <mahsa.nst@gmail.com>
Description: Provides a collection of functions for preparing data and
        fitting Bayesian count spatial regression models, with a
        specific focus on the Gamma-Count (GC) model. The GC model is
        well-suited for modeling dispersed count data, including
        under-dispersed or over-dispersed counts, or counts with
        equivalent dispersion, using Integrated Nested Laplace
        Approximations (INLA). The package includes functions for
        generating data from the GC model, as well as spatially
        correlated versions of the model. See Nadifar, Baghishani,
        Fallah (2023) <doi:10.1007/s13253-023-00550-5>.
License: GPL (>= 2)
URL: https://github.com/mahsanst/SpatGC
Encoding: UTF-8
RoxygenNote: 7.3.1
Depends: R (>= 4.0)
Additional_repositories: https://inla.r-inla-download.org/R/testing
Imports: mvtnorm, stats, spdep, sf
Suggests: INLA (>= 23.06.15)
Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev
        libssl-dev libproj-dev libsqlite3-dev libudunits2-dev
Repository: https://mahsanst.r-universe.dev
Date/Publication: 2024-04-27 09:11:07 UTC
RemoteUrl: https://github.com/mahsanst/spatgc
RemoteRef: HEAD
RemoteSha: 6e801329358081ab617da498d12085a93e923c58
NeedsCompilation: no
Packaged: 2026-09-22 10:53:58 UTC; root
Author: Mahsa Nadifar [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-9130-125X>),
  Hossein Baghishani [aut] (ORCID:
    <https://orcid.org/0000-0002-6396-0303>)