Package: epiworldRShiny 0.2.6

Andrew Pulsipher

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:George Vega Yon [aut], Derek Meyer [aut], Andrew Pulsipher [aut, cre], Centers for Disease Control and Prevention [fnd], Lindsay Keegan [ctb], Karim Khader [ctb], Damon Toth [ctb], Randon Gruninger [ctb], Matthew Samore [ctb], Jay Love [ctb], Kristina Stratford [ctb]

epiworldRShiny_0.2.6.tar.gz
epiworldRShiny_0.2.6.zip(r-4.7)epiworldRShiny_0.2.6.zip(r-4.6)epiworldRShiny_0.2.6.zip(r-4.5)
epiworldRShiny_0.2.6.tgz(r-4.6-any)epiworldRShiny_0.2.6.tgz(r-4.5-any)
epiworldRShiny_0.2.6.tar.gz(r-4.7-any)epiworldRShiny_0.2.6.tar.gz(r-4.6-any)
epiworldRShiny_0.2.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
epiworldRShiny/json (API)
NEWS

# 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

Pkgdown/docs site:https://uofuepibio.github.io

On CRAN:

Conda:

abmagent-based-modelingcovid-19epidemic-simulationsepidemiologynetscinetwork-analysisshinyappsshinydashboardsimulation-modeling

3.78 score 3 stars 5 scripts 594 downloads 21 exports 71 dependencies

Last updated from:6a4205c35d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK158
source / vignettesOK174
linux-release-x86_64OK154
macos-release-arm64OK196
macos-oldrel-arm64OK177
windows-develOK109
windows-releaseOK101
windows-oldrelOK107
wasm-releaseOK130

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:askpassbase64encbslibcachemclicommonmarkcpp11crosstalkcurldata.tabledigestdplyrDTepiworldRevaluatefarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteknitrlabelinglaterlazyevallifecyclemagrittrmemoisemimeopensslotelpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownS7sassscalesshinysourcetoolsstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxtableyaml

Readme and manuals

Help Manual

Help pageTopics
Access to the epiworldR environment.epiworldRenv
epiworldRShiny App LauncherepiworldRShiny run_app
epiworldRShiny UI builder functionsepiworldrshiny-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-scalefind_scale
NPI adding functioninterventions_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 incidenceplot_epi
Plot Rtplot_reproductive_epi
Population generatorpop_generator