Package: epiworldRShiny 0.1-0
Derek Meyer
epiworldRShiny: A 'shiny' Wrapper of the R Package 'epiworldR'
R 'shiny' web apps for epidemiological Agent-Based Models. It provides a user-friendly interface to the Agent-Based Modeling (ABM) R package 'epiworldR' (Meyer et al., 2023) <doi:10.21105/joss.05781>. Some of the main features of the package include the Susceptible-Infected-Susceptible (SIS), Susceptible-Infected-Recovered (SIR), and Susceptible-Exposed-Infected-Recovered (SEIR) models. 'epiworldRShiny' provides a web-based user interface for running various epidemiological ABMs, simulating interventions, and visualizing results interactively.
Authors:
epiworldRShiny_0.1-0.tar.gz
epiworldRShiny_0.1-0.zip(r-4.5)epiworldRShiny_0.1-0.zip(r-4.4)epiworldRShiny_0.1-0.zip(r-4.3)
epiworldRShiny_0.1-0.tgz(r-4.4-any)epiworldRShiny_0.1-0.tgz(r-4.3-any)
epiworldRShiny_0.1-0.tar.gz(r-4.5-noble)epiworldRShiny_0.1-0.tar.gz(r-4.4-noble)
epiworldRShiny_0.1-0.tgz(r-4.4-emscripten)epiworldRShiny_0.1-0.tgz(r-4.3-emscripten)
epiworldRShiny.pdf |epiworldRShiny.html✨
epiworldRShiny/json (API)
| # Install 'epiworldRShiny' in R: |
| install.packages('epiworldRShiny', repos = c('https://uofuepibio.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/uofuepibio/epiworldrshiny/issues
abmagent-based-modelingcovid-19epidemic-simulationsepidemiologynetscinetwork-analysisshinyappsshinydashboardsimulation-modeling
Last updated 6 months agofrom:a4da9edd91. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 29 2024 |
| R-4.5-win | OK | Oct 29 2024 |
| R-4.5-linux | OK | Oct 29 2024 |
| R-4.4-win | OK | Oct 29 2024 |
| R-4.4-mac | OK | Oct 29 2024 |
| R-4.3-win | OK | Oct 29 2024 |
| R-4.3-mac | OK | Oct 29 2024 |
Exports:epiworldRenvepiworldRShinyfind_scaleinterventions_add_allmodels_setupnetwork_inputnpi_add_maskingnpi_add_school_closurenpis_inputnumeric_input_ndayspi_add_vaccineplot_epiplot_reproductive_epipop_generatorpopulation_inputrun_appseed_inputsimulate_buttonslider_input_rateslider_prevalencetext_input_disease_name
Dependencies:askpassbase64encbslibcachemclicolorspacecommonmarkcpp11crayoncrosstalkcurldata.tabledigestdplyrDTepiworldRevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesshinyshinycssloadersshinydashboardshinyjssourcetoolsstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxtableyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Access to the epiworldR environment. | epiworldRenv |
| epiworldRShiny App Launcher | epiworldRShiny run_app |
| epiworldRShiny UI builder functions | epiworldrshiny-ui models_setup network_input npis_input numeric_input_ndays population_input seed_input simulate_button slider_input_rate slider_prevalence text_input_disease_name |
| Find the right plotting-scale | find_scale |
| NPI adding function | interventions_add_all |
| Masking intervention (non-pharmaceutical intervention) | npi_add_masking |
| School closure intervention (non-pharmaceutical intervention) | npi_add_school_closure |
| Vaccination (pharmaceutical intervention) | pi_add_vaccine |
| Plot daily incidence | plot_epi |
| Plot Rt | plot_reproductive_epi |
| Population generator | pop_generator |
