Package: shinySIR 0.1.3
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:
shinySIR_0.1.3.tar.gz
shinySIR_0.1.3.zip(r-4.5)shinySIR_0.1.3.zip(r-4.4)shinySIR_0.1.3.zip(r-4.3)
shinySIR_0.1.3.tgz(r-4.5-any)shinySIR_0.1.3.tgz(r-4.4-any)shinySIR_0.1.3.tgz(r-4.3-any)
shinySIR_0.1.3.tar.gz(r-4.5-noble)shinySIR_0.1.3.tar.gz(r-4.4-noble)
shinySIR_0.1.3.tgz(r-4.4-emscripten)shinySIR_0.1.3.tgz(r-4.3-emscripten)
shinySIR.pdf |shinySIR.html✨
shinySIR/json (API)
NEWS
| # Install 'shinySIR' in R: |
| install.packages('shinySIR', repos = c('https://epiverse-connect.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sineadmorris/shinysir/issues
Last updated 10 months agofrom:9054f0a29a. Checks:9 OK. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 08 2025 |
| R-4.5-win | OK | Mar 08 2025 |
| R-4.5-mac | OK | Mar 08 2025 |
| R-4.5-linux | OK | Mar 08 2025 |
| R-4.4-win | OK | Mar 08 2025 |
| R-4.4-mac | OK | Mar 08 2025 |
| R-4.4-linux | OK | Mar 08 2025 |
| R-4.3-win | OK | Mar 08 2025 |
| R-4.3-mac | OK | Mar 08 2025 |
Exports:default_modelsget_nameget_paramsrun_shinyseir.appseirs.app
Dependencies:base64encbslibcachemclicolorspacecommonmarkcpp11crayondeSolvedigestdplyrfansifarverfastmapfontawesomefsgenericsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigpromisespurrrR6rappdirsRColorBrewerRcpprlangsassscalesshinysourcetoolsstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrxtable
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Model help | default_models |
| Get default initial conditions | get_ics |
| Get model display names | get_name |
| Get default parameters | get_params |
| Plot model output. This function plots the output of a fitted model data frame. | plot_model |
| Solve equations | run_shiny |
| Launch a shiny-app simulating the seasonal SEIR model | seir.app |
| Launch a shiny-app simulating the SEIRS model | seirs.app |
| SIR model | SIR |
| SIR model with demography | SIRbirths |
| SIRS model | SIRS |
| SIRS model with demography | SIRSbirths |
| SIRS model with vaccination at birth | SIRSvaccination |
| SIR model with vaccination at birth | SIRvaccination |
| SIS model | SIS |
| SIS model with demography | SISbirths |
| Solve equations | solve_eqns |
