Analyze Outbreak Models of Multi-Group Populations with Vaccination R package multigroup.vaccine version 0.1.1 Model infectious disease dynamics in populations with multiple subgroups having different vaccination rates, transmission characteristics, and contact patterns. Calculate final and intermediate outbreak sizes, form age-structured contact models with automatic fetching of U.S. census data, and explore vaccination scenarios with an interactive 'shiny' dashboard for a model with two subgroups, as described in Nguyen et al. (2024) <doi:10.1016/j.jval.2024.03.039> and Duong et al. (2026) <doi:10.1093/ofid/ofaf695.217>. Software Depends: R (>= 2.10) Imports: deSolve, graphics, shiny, stats, bslib (>= 0.9.0), htmltools, socialmixr Suggests: knitr, rmarkdown, testthat (>= 3.0.0), Damon Toth <damon.toth@hsc.utah.edu> Comprehensive R Archive Network (CRAN) Damon Toth [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-7393-4814>), Jake Wagoner [aut] (ORCID: <https://orcid.org/0009-0000-5053-2281>), Willy Ray [aut], George Vega Yon [ctb] (ORCID: <https://orcid.org/0000-0002-3171-0844>), Centers for Disease Control and Prevention's Center for Forecasting and Outbreak Analytics [fnd] (Cooperative agreement CDC-RFA-FT-23-0069) MIT + file LICENSE (https://CRAN.R-project.org/package=multigroup.vaccine/LICENSE) 2026-02-09 application/tgz https://CRAN.R-project.org/package=multigroup.vaccine doi:10.32614/CRAN.package.multigroup.vaccine