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.

2.23 score 17 scripts 283 downloads 6 exports 60 dependencies

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

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-linuxOKNov 22 2024

Exports:default_modelsget_nameget_paramsrun_shinyseir.appseirs.app

Dependencies:base64encbslibcachemclicolorspacecommonmarkcpp11crayondeSolvedigestdplyrfansifarverfastmapfontawesomefsgenericsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigpromisespurrrR6rappdirsRColorBrewerRcpprlangsassscalesshinysourcetoolsstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrxtable

shinySIR: Interactive plotting for infectious disease models

Rendered fromVignette.Rmdusingknitr::rmarkdownon Nov 22 2024.

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