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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 |
Maintainer: | Sinead E. Morris <sinead.morris at columbia.edu> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Citation: | shinySIR citation info |
Materials: | NEWS |
CRAN checks: | shinySIR results |
Reference manual: | shinySIR.pdf |
Vignettes: |
Vignette |
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 |
Please use the canonical form https://CRAN.R-project.org/package=shinySIR to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.