# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "SeasEpi" in publications use:'
type: software
license: MIT
title: 'SeasEpi: Spatiotemporal Modeling of Seasonal Infectious Disease'
version: 0.0.3
doi: 10.32614/CRAN.package.SeasEpi
abstract: 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.
authors:
- family-names: Abed
  given-names: Amin
  email: abeda@myumanitoba.ca
  orcid: https://orcid.org/0000-0002-7381-4721
repository: https://amin-abed.r-universe.dev
commit: 0f18d27bcf0f9ea2ed76ee9918812f78c12728f6
date-released: '2025-11-02'
contact:
- family-names: Abed
  given-names: Amin
  email: abeda@myumanitoba.ca
  orcid: https://orcid.org/0000-0002-7381-4721