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: 0.1.0
Depends: dplyr (≥, 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: 2020-01-20
Author: Sinead E. Morris ORCID iD [aut, cre], Ottar N. Bjornstad [ctb]
Maintainer: Sinead E. Morris <sinead.morris at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: shinySIR results


Reference manual: shinySIR.pdf
Vignettes: Vignette
Package source: shinySIR_0.1.0.tar.gz
Windows binaries: r-devel:, r-devel-gcc8: not available, r-release:, r-oldrel:
OS X binaries: r-release: shinySIR_0.1.0.tgz, r-oldrel: shinySIR_0.1.0.tgz


Please use the canonical form to link to this page.