DSAIDE: Dynamical Systems Approach to Infectious Disease Epidemiology (Ecology/Evolution)

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: 0.9.1
Depends: R (≥ 4.0.0), shiny (≥ 1.2)
Imports: adaptivetau, deSolve, dplyr, ggplot2, gridExtra, lhs, nloptr, plotly, rlang, stats, utils, XML
Suggests: covr, devtools, knitr, pkgdown, rmarkdown, roxygen2, testthat
Published: 2021-03-22
Author: Andreas Handel ORCID iD [aut, cre], Cody Dailey [ctb], Isaac Chun-Hai Fung [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 <ahandel at uga.edu>
BugReports: https://github.com/ahgroup/DSAIDE/issues
License: GPL-3
URL: https://ahgroup.github.io/DSAIDE/, https://github.com/ahgroup/DSAIDE/
NeedsCompilation: no
Citation: DSAIDE citation info
Materials: NEWS
CRAN checks: DSAIDE results


Reference manual: DSAIDE.pdf
Vignettes: DSAIDE Package Tutorial
Package source: DSAIDE_0.9.1.tar.gz
Windows binaries: r-devel: DSAIDE_0.9.1.zip, r-release: DSAIDE_0.9.1.zip, r-oldrel: DSAIDE_0.8.3.zip
macOS binaries: r-release: DSAIDE_0.9.1.tgz, r-oldrel: DSAIDE_0.8.3.tgz
Old sources: DSAIDE archive


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