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.

Version:	0.1-0
Depends:	shiny
Imports:	shinyjs, utils, shinydashboard, DT, ggplot2, epiworldR, shinycssloaders, plotly
Suggests:	knitr
Published:	2024-06-05
DOI:	10.32614/CRAN.package.epiworldRShiny
Author:	Derek Meyer [aut, cre], George Vega Yon [aut], Centers for Disease Control and Prevention [fnd] (Award number 1U01CK000585; 75D30121F00003), Lindsay Keegan [ctb], Karim Khader [ctb], Damon Toth [ctb], Randon Gruninger [ctb], Matthew Samore [ctb], Jay Love [ctb], Kristina Stratford [ctb]
Maintainer:	Derek Meyer <derekmeyer37 at gmail.com>
BugReports:	https://github.com/UofUEpiBio/epiworldRShiny/issues/
License:	MIT + file LICENSE
URL:	https://github.com/UofUEpiBio/epiworldRShiny/, https://uofuepibio.github.io/epiworldRShiny/,
NeedsCompilation:	no
Materials:	README
In views:	Epidemiology
CRAN checks:	epiworldRShiny results

Documentation:

Reference manual:

epiworldRShiny.pdf

Downloads:

Package source:	epiworldRShiny_0.1-0.tar.gz
Windows binaries:	r-devel: epiworldRShiny_0.1-0.zip, r-release: epiworldRShiny_0.1-0.zip, r-oldrel: epiworldRShiny_0.1-0.zip
macOS binaries:	r-release (arm64): epiworldRShiny_0.1-0.tgz, r-oldrel (arm64): epiworldRShiny_0.1-0.tgz, r-release (x86_64): epiworldRShiny_0.1-0.tgz, r-oldrel (x86_64): epiworldRShiny_0.1-0.tgz

Linking:

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