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shinySIR  

Interactive Plotting for Mathematical Models of Infectious Disease Spread
View on CRAN: Click here


Download and install shinySIR package within the R console
Install from CRAN:
install.packages("shinySIR")

Install from Github:
library("remotes")
install_github("cran/shinySIR")

Install by package version:
library("remotes")
install_version("shinySIR", "0.1.2")



Attach the package and use:
library("shinySIR")
Maintained by
Sinead E. Morris
[Scholar Profile | Author Map]
First Published: 2020-01-20
Latest Update: 2020-10-18
Description:
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) .
How to cite:
Sinead E. Morris (2020). shinySIR: Interactive Plotting for Mathematical Models of Infectious Disease Spread. R package version 0.1.2, https://cran.r-project.org/web/packages/shinySIR. Accessed 21 Apr. 2025.
Previous versions and publish date:
0.1.0 (2020-01-20 10:30), 0.1.1 (2020-02-03 22:50)
Other packages that cited shinySIR R package
View shinySIR citation profile
Other R packages that shinySIR depends, imports, suggests or enhances
Complete documentation for shinySIR
Functions, R codes and Examples using the shinySIR R package
Some associated functions: SIR . SIRS . SIRSbirths . SIRSvaccination . SIRbirths . SIRvaccination . SIS . SISbirths . default_models . get_ics . get_name . get_params . plot_model . run_shiny . seir.app . seirs.app . solve_eqns . 
Some associated R codes: default_ics.R . default_names.R . default_params.R . globals.R . model_info.R . models.R . plotting.R . run_shiny.R . seasonalseir.R . seirs.R . solving.R .  Full shinySIR package functions and examples
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