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epiworldRShiny: A 'shiny' Wrapper of the R Package 'epiworldR'
R 'shiny' web apps for epidemiological Agent-Based Models. It provides a user-friendly interface to the Agent-Based Modeling (ABM) R package 'epiworldR' (Meyer et al., 2023) <DOI:10.21105/joss.05781>. Some of the main features of the package include the Susceptible-Infected-Susceptible (SIS), Susceptible-Infected-Recovered (SIR), and Susceptible-Exposed-Infected-Recovered (SEIR) models. 'epiworldRShiny' provides a web-based user interface for running various epidemiological ABMs, simulating interventions, and visualizing results interactively.
Getting started
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Package details |
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| Author | George Vega Yon [aut] (ORCID: <https://orcid.org/0000-0002-3171-0844>), Derek Meyer [aut] (ORCID: <https://orcid.org/0009-0005-1350-6988>), Andrew Pulsipher [aut, cre] (ORCID: <https://orcid.org/0000-0002-0773-3210>), Centers for Disease Control and Prevention [fnd] (Award number 1U01CK000585; 75D30121F00003), Lindsay Keegan [ctb] (ORCID: <https://orcid.org/0000-0002-8526-3007>), Karim Khader [ctb] (ORCID: <https://orcid.org/0000-0002-7206-8077>), Damon Toth [ctb] (ORCID: <https://orcid.org/0000-0001-7393-4814>), Randon Gruninger [ctb], Matthew Samore [ctb] (ORCID: <https://orcid.org/0000-0002-4862-9196>), Jay Love [ctb] (ORCID: <https://orcid.org/0000-0002-9371-2466>), Kristina Stratford [ctb] |
| Maintainer | Andrew Pulsipher <pulsipher.a@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.2.3 |
| URL | https://github.com/UofUEpiBio/epiworldRShiny/ https://uofuepibio.github.io/epiworldRShiny/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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