Meta-Population Compartmental Model for Respiratory Virus Diseases R package MetaRVM version 2.1.0 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. Software Depends: R (>= 3.5.0) Imports: data.table, dplyr, ggplot2, magrittr, methods, odin, purrr, R6, tidyr, yaml Suggests: dde, knitr, pkgdown, rmarkdown, testthat (>= 3.0.0) Arindam Fadikar <afadikar@anl.gov> Comprehensive R Archive Network (CRAN) Arindam Fadikar [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-7396-0350>), Charles Macal [ctb], Martinez Moyano Ignacio Javier [ctb], Ozik Jonathan [ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=MetaRVM/LICENSE) 2026-03-26 application/tgz https://CRAN.R-project.org/package=MetaRVM doi:10.32614/CRAN.package.MetaRVM