DSAIDE: Dynamical Systems Approach to Infectious Disease Epidemiology (Ecology/Evolution) (original) (raw)
Exploration of simulation models (apps) of various infectious disease transmission dynamics scenarios. The purpose of the package is to help individuals learn about infectious disease epidemiology (ecology/evolution) from a dynamical systems perspective. All apps include explanations of the underlying models and instructions on what to do with the models.
Version:
0.9.6
Depends:
R (≥ 4.0.0), shiny (≥ 1.2)
Imports:
adaptivetau, deSolve, dplyr, ggplot2, gridExtra, lhs, nloptr, plotly, rlang, stats, utils, XML
Suggests:
covr, devtools, emoji, knitr, pkgdown, rmarkdown, roxygen2, testthat
Published:
2023-08-23
DOI:
Author:
Andreas Handel 
[aut, cre], Cody Dailey [ctb], Isaac Chun-Hai Fung [ctb], Ronald Galiwango [ctb], Salil Goyal [ctb], Spencer Hall [ctb], Ben Listyg [ctb], Brian McKay [ctb], John Rossow [ctb], Sina Solaimanpour [ctb], Alexis Vittengl [ctb], Henok Woldu [ctb]
Maintainer:
Andreas Handel <andreas.handel at gmail.com>
BugReports:
https://github.com/ahgroup/DSAIDE/issues
License:
URL:
https://ahgroup.github.io/DSAIDE/,https://github.com/ahgroup/DSAIDE/
NeedsCompilation:
no
Citation:
Materials:
In views:
CRAN checks: