Package: shinySIR 0.1.2

Sinead E. Morris

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>.

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

shinySIR_0.1.2.tar.gz
shinySIR_0.1.2.tar.gz(r-4.5-noble)shinySIR_0.1.2.tar.gz(r-4.4-noble)
shinySIR_0.1.2.tgz(r-4.4-emscripten)shinySIR_0.1.2.tgz(r-4.3-emscripten)
shinySIR.pdf |shinySIR.html
shinySIR/json (API)
NEWS

# Install 'shinySIR' in R:
install.packages('shinySIR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.26 score 18 scripts 172 downloads 6 exports 60 dependencies

Last updated 4 years agofrom:b7d8aadc22. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 22 2024
R-4.5-linuxOKDec 22 2024

Exports:default_modelsget_nameget_paramsrun_shinyseir.appseirs.app

Dependencies:base64encbslibcachemclicolorspacecommonmarkcpp11crayondeSolvedigestdplyrfansifarverfastmapfontawesomefsgenericsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigpromisespurrrR6rappdirsRColorBrewerRcpprlangsassscalesshinysourcetoolsstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrxtable

shinySIR: Interactive plotting for infectious disease models

Rendered fromVignette.Rmdusingknitr::rmarkdownon Dec 22 2024.

Last update: 2020-02-03
Started: 2020-01-20