Package: MetaRVM
Title: Meta-Population Compartmental Model for Respiratory Virus
        Diseases
Version: 2.2.0.9000
Authors@R: c(
    person("Arindam", "Fadikar", , "afadikar@anl.gov", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0001-7396-0350")),
    person("Charles", "Macal", role = "ctb"),
    person("Martinez Moyano", "Ignacio Javier", role = "ctb"),
    person("Ozik", "Jonathan", role = "ctb")
  )
Description: Simulates respiratory virus epidemics using
        meta-population compartmental models following Fadikar et. al.
        (2025) <doi:10.1109/WSC68292.2025.11338996>. 'MetaRVM'
        implements a stochastic SEIRD
        (Susceptible-Exposed-Infected-Recovered-Dead) framework with
        demographic stratification by user provided attributes. It
        supports complex epidemiological scenarios including
        asymptomatic and presymptomatic transmission, hospitalization
        dynamics, vaccination schedules, and time-varying contact
        patterns via mixing matrices.
URL: https://RESUME-Epi.github.io/MetaRVM/,
        https://github.com/RESUME-Epi/MetaRVM
BugReports: https://github.com/RESUME-Epi/MetaRVM/issues
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Depends: R (>= 3.5.0)
Imports: data.table, dplyr, ggplot2, magrittr, methods, odin, purrr,
        R6, tidyr, yaml
Suggests: dde, doParallel, foreach, knitr, parallel, pkgdown,
        rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
Config/testthat/edition: 3
Config/pak/sysreqs: libicu-dev
Repository: https://resume-epi.r-universe.dev
Date/Publication: 2026-11-06 19:08:13 UTC
RemoteUrl: https://github.com/resume-epi/metarvm
RemoteRef: HEAD
RemoteSha: 03ac4074d7b53bcceb326c4d40698e14ae900e08
NeedsCompilation: no
Packaged: 2026-11-06 21:09:25 UTC; root
Author: Arindam Fadikar [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0001-7396-0350>),
  Charles Macal [ctb],
  Martinez Moyano Ignacio Javier [ctb],
  Ozik Jonathan [ctb]
Maintainer: Arindam Fadikar <afadikar@anl.gov>