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) and Bjornstad (2018) .


Reference manual

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0.1.2 by Sinead E. Morris, a year ago

Browse source code at

Authors: Sinead E. Morris [aut, cre] , Ottar N. Bjornstad [ctb]

Documentation:   PDF Manual  

MIT + file LICENSE license

Depends on dplyr, tidyr, ggplot2, shiny, deSolve

Suggests knitr, rmarkdown, testthat

See at CRAN