Basic information | Author and maintainer | Contributors | Citing this package | Getting help | Recent updates | Quick start example | Model specification | User-defined models | Built-in models | SIR | SIR with demography | SIR with vaccination at birth | SIS | SIS with demography | SIRS | SIRS with demography | SIRS with vaccination | More detailed examples | References
This package is hidden from search results because it is not hosted in the universe of the upstream owner
sineadmorris. To fix this you can add URL: https://epiverse-connect.r-universe.dev/shinySIR to the package DESCRIPTION file. See also theR-universe documentation.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-4.7-any)shinySIR_0.1.3.zip(r-4.6-any)shinySIR_0.1.3.zip(r-4.5-any)
shinySIR_0.1.3.tgz(r-4.6-any)shinySIR_0.1.3.tgz(r-4.5-any)
shinySIR_0.1.3.tar.gz(r-4.7-any)shinySIR_0.1.3.tar.gz(r-4.6-any)
shinySIR_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
shinySIR/json (API)
| # 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 from:9054f0a29a. Checks:9 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 129 | ||
| source / vignettes | OK | 205 | ||
| linux-release | OK | 141 | ||
| macos-release | OK | 103 | ||
| macos-oldrel | OK | 117 | ||
| windows-devel | OK | 96 | ||
| windows-release | OK | 91 | ||
| windows-oldrel | OK | 91 | ||
| wasm-release | OK | 108 |
Exports:default_modelsget_nameget_paramsrun_shinyseir.appseirs.app
Dependencies:base64encbslibcachemclicommonmarkcpp11deSolvedigestdplyrfarverfastmapfontawesomefsgenericsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlifecyclemagrittrmemoisemimeotelpillarpkgconfigpromisespurrrR6rappdirsRColorBrewerRcpprlangS7sassscalesshinysourcetoolsstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrxtable
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 |