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cff-version: 1.2.0
message: 'To cite package "GDILM.SEIRS" in publications use:'
type: software
license: MIT
title: 'GDILM.SEIRS: Spatial Modeling of Infectious Disease with Reinfection'
version: 0.0.2
doi: 10.32614/CRAN.package.GDILM.SEIRS
abstract: 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.
authors:
- family-names: Abed
  given-names: Amin
  email: abeda@myumanitoba.ca
  orcid: https://orcid.org/0000-0002-7381-4721
repository: https://CRAN.R-project.org/package=GDILM.SEIRS
date-released: '2024-12-08'
contact:
- family-names: Abed
  given-names: Amin
  email: abeda@myumanitoba.ca
  orcid: https://orcid.org/0000-0002-7381-4721