MetaRVM: Meta-Population Compartmental Model for Respiratory Virus Diseases

Simulates respiratory virus epidemics using meta-population compartmental models following Fadikar et. al. (2025) <doi:10.1101/2025.05.05.25327021>. 'MetaRVM' implements a stochastic SEIRD (Susceptible-Exposed-Infected-Recovered-Dead) framework with demographic stratification by age, race, and geographic zones. It supports complex epidemiological scenarios including asymptomatic and presymptomatic transmission, hospitalization dynamics, vaccination schedules, and time-varying contact patterns via mixing matrices.

Version:	1.0.0
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)
Published:	2025-12-19
DOI:	10.32614/CRAN.package.MetaRVM
Author:	Arindam Fadikar [aut, cre, cph], Charles Macal [ctb], Martinez Moyano Ignacio Javier [ctb], Ozik Jonathan [ctb]
Maintainer:	Arindam Fadikar <afadikar at anl.gov>
BugReports:	https://github.com/RESUME-Epi/MetaRVM/issues
License:	MIT + file LICENSE
URL:	https://RESUME-Epi.github.io/MetaRVM/, https://github.com/RESUME-Epi/MetaRVM
NeedsCompilation:	no
Citation:	MetaRVM citation info
Materials:	README, NEWS
CRAN checks:	MetaRVM results [issues need fixing before 2026-01-12]

Documentation:

Reference manual:	MetaRVM.html , MetaRVM.pdf
Vignettes:	Checkpointing in MetaRVM (source, R code) Getting Started with MetaRVM (source, R code) Running a Simulation with metaRVM (source, R code) YAML Configuration for metaRVM (source, R code)

Downloads:

Package source:	MetaRVM_1.0.0.tar.gz
Windows binaries:	r-devel: MetaRVM_1.0.0.zip, r-release: MetaRVM_1.0.0.zip, r-oldrel: MetaRVM_1.0.0.zip
macOS binaries:	r-release (arm64): MetaRVM_1.0.0.tgz, r-oldrel (arm64): MetaRVM_1.0.0.tgz, r-release (x86_64): MetaRVM_1.0.0.tgz, r-oldrel (x86_64): MetaRVM_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MetaRVM to link to this page.