shinySIR: Interactive Plotting for Mathematical Models of Infectious Disease Spread

Provides interactive plotting for mathematical models of infectious disease spread. Users can choose from a variety of common built-in ordinary differential equation (ODE) models (such as the SIR, SIRS, and SIS models), or create their own. This latter flexibility allows 'shinySIR' to be applied to simple ODEs from any discipline. The package is a useful teaching tool as students can visualize how changing different parameters can impact model dynamics, with minimal knowledge of coding in R. The built-in models are inspired by those featured in Keeling and Rohani (2008) <doi:10.2307/j.ctvcm4gk0> and Bjornstad (2018) <doi:10.1007/978-3-319-97487-3>.

Version:	0.1.2
Depends:	dplyr (≥ 0.8.0.1), tidyr (≥ 0.8.3), ggplot2 (≥ 3.1.1), shiny (≥ 1.3.2), deSolve (≥ 1.2.1)
Suggests:	knitr (≥ 1.22), rmarkdown (≥ 1.12), testthat (≥ 2.2.0)
Published:	2020-10-18
DOI:	10.32614/CRAN.package.shinySIR
Author:	Sinead E. Morris [aut, cre], Ottar N. Bjornstad [ctb]
Maintainer:	Sinead E. Morris <sinead.morris at columbia.edu>
License:	MIT + file LICENSE
NeedsCompilation:	no
Citation:	shinySIR citation info
Materials:	NEWS
In views:	Epidemiology
CRAN checks:	shinySIR results

Documentation:

Reference manual:	shinySIR.pdf
Vignettes:	Vignette

Downloads:

Package source:	shinySIR_0.1.2.tar.gz
Windows binaries:	r-devel: shinySIR_0.1.2.zip, r-release: shinySIR_0.1.2.zip, r-oldrel: shinySIR_0.1.2.zip
macOS binaries:	r-release (arm64): shinySIR_0.1.2.tgz, r-oldrel (arm64): shinySIR_0.1.2.tgz, r-release (x86_64): shinySIR_0.1.2.tgz, r-oldrel (x86_64): shinySIR_0.1.2.tgz
Old sources:	shinySIR archive

Linking:

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