Package: MetaRVM 2.2.0.9000

Arindam Fadikar

MetaRVM: Meta-Population Compartmental Model for Respiratory Virus Diseases

Simulates respiratory virus epidemics using meta-population compartmental models following Fadikar et. al. (2025) <doi:10.1109/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.

Authors:Arindam Fadikar [aut, cre, cph], Charles Macal [ctb], Martinez Moyano Ignacio Javier [ctb], Ozik Jonathan [ctb]

MetaRVM_2.2.0.9000.tar.gz
MetaRVM_2.2.0.9000.zip(r-4.7-any)MetaRVM_2.2.0.9000.zip(r-4.6-any)MetaRVM_2.2.0.9000.zip(r-4.5-any)
MetaRVM_2.2.0.9000.tgz(r-4.6-any)MetaRVM_2.2.0.9000.tgz(r-4.5-any)
MetaRVM_2.2.0.9000.tar.gz(r-4.7-any)MetaRVM_2.2.0.9000.tar.gz(r-4.6-any)
MetaRVM_2.2.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MetaRVM/json (API)

# Install 'MetaRVM' in R:
install.packages('MetaRVM', repos = c('https://resume-epi.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/resume-epi/metarvm/issues

Pkgdown/docs site:https://resume-epi.github.io

On CRAN:

Conda:

5.78 score 3 stars 9 scripts 340 downloads 11 exports 37 dependencies

Last updated from:03ac4074d7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK327
source / vignettesOK281
linux-releaseOK294
macos-releaseOK278
macos-oldrelOK177
windows-develOK277
windows-releaseOK261
windows-oldrelOK215
wasm-releaseOK100

Exports:build_configcopy_configformat_metarvm_outputmeta_measles_simmeta_simmetaRVMMetaRVMCheckMetaRVMConfigMetaRVMResultsMetaRVMSummaryparse_config

Dependencies:cinterpolateclicpp11data.tabledeSolvedigestdplyrfarvergenericsggplot2gluegtableisobandjsonlitelabelinglifecyclemagrittrodinpillarpkgconfigpurrrR6RColorBrewerringrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithryaml

YAML Configuration for metaRVM
Introduction | Model Selection | Basic Configuration | Configuration Sections | Input File Structures | Population Data Files | Vaccination Schedule (flu only) | Mixing Matrix Files | Disease Parameter Descriptions | Flu parameters | Measles parameters | Measles Example Configuration | Defining Parameters with Distributions | Specifying Subgroup Parameters | Stochastic Simulation with Distributional Parameters | Checkpointing and Restoring Simulations | Enabling Checkpointing | Restoring from a Checkpoint
Rendered fromyaml-configuration.Rmdusingknitr::rmarkdown

Last update: 2026-11-05
Started: 2025-10-29

Checkpointing in MetaRVM
Introduction | How Checkpointing Works | Configuration Parameters | Example | Set Up | Create a Configuration with Checkpointing | Run Simulation with Checkpoints | Examine the Results | Resume from a Checkpoint | Plot | Checkpointing with Other Diseases (e.g., Measles) | Understanding Checkpoint Files
Rendered fromcheckpointing.Rmdusingknitr::rmarkdown

Last update: 2026-11-05
Started: 2025-11-26

Getting Started with MetaRVM
Introduction | Installation | Loading the Package | Basic Example | Running the Simulation
Rendered fromgetting-started.Rmdusingknitr::rmarkdown

Last update: 2026-11-05
Started: 2025-10-25

Running a Simulation with metaRVM
Introduction | Locating the Example Files | Running the Simulation | Deep-dive into MetaRVM Classes | Working with Configuration Files | Exploring Configuration Parameters | Accessing Demographic Information | Alternative Ways to Run the Simulation | Exploring the Results | Data Subsetting and Filtering | Specifying Disease Parameters via Distributions | Generating Summary Statistics across Demographics | Running a Stochastic Simulation with Static Parameters | Specifying Disease Parameters by Demographics | Running a Measles Simulation
Rendered fromrunning-a-simulation.Rmdusingknitr::rmarkdown

Last update: 2026-11-05
Started: 2025-10-29