Package: SeasEpi
Title: Spatiotemporal Modeling of Seasonal Infectious Disease
Version: 0.0.3
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: Spatiotemporal individual-level model of seasonal
        infectious disease transmission within the
        Susceptible-Exposed-Infectious-Recovered-Susceptible (SEIRS)
        framework are applied to model seasonal infectious disease
        transmission. This package employs a likelihood based Monte
        Carlo Expectation Conditional Maximization (MCECM) algorithm
        for estimating model parameters. In addition to model fitting
        and parameter estimation, the package offers functions for
        calculating AIC using real pandemic data and conducting
        simulation studies customized to user-specified model
        configurations.
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: 2026-06-19 07:35:34 UTC; root
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: https://amin-abed.r-universe.dev
Date/Publication: 2025-11-02 23:00:02 UTC
RemoteUrl: https://github.com/cran/SeasEpi
RemoteRef: HEAD
RemoteSha: 0f18d27bcf0f9ea2ed76ee9918812f78c12728f6