Package: GDILM.SEIRS
Title: Spatial Modeling of Infectious Disease with Reinfection
Version: 0.0.6
Authors@R: c(person(given = "Amin", family = "Abed", role = c("aut","cre","cph"), email = "abeda@myumanitoba.ca", comment = c(ORCID = "0000-0002-7381-4721")), person(given = "Mahmoud", family = "Torabi", role = "ths"), person(given = "Zeinab", family = "Mashreghi", role = "ths"))
Description: Geographically Dependent Individual Level Models (GDILMs) within the Susceptible-Exposed-Infectious-Recovered-Susceptible (SEIRS) framework are applied to model infectious disease transmission, incorporating reinfection dynamics. This package employs a likelihood based Monte Carlo Expectation Conditional Maximization (MCECM) algorithm for estimating model parameters. It also provides tools for GDILM fitting, parameter estimation, AIC calculation on real pandemic data, and simulation studies customized to user-defined model settings.
URL: https://doi.org/10.1016/j.sste.2025.100780
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: MASS, mvtnorm, ngspatial, stats
RoxygenNote: 7.3.2
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-02-12 19:33:03 UTC; aminabed
Author: Amin Abed [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-7381-4721>),
  Mahmoud Torabi [ths],
  Zeinab Mashreghi [ths]
Maintainer: Amin Abed <abeda@myumanitoba.ca>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-02-13 08:20:07 UTC
Built: R 4.6.0; ; 2026-04-26 00:46:10 UTC; unix
