DSAIDE: Dynamical Systems Approach to Infectious Disease Epidemiology

A collection of 'shiny' apps that allow for the simulation and exploration of various infectious disease transmission dynamics scenarios. The purpose of the package is to help individuals learn about infectious disease epidemiology from a dynamical systems perspective. All apps include explanations of the underlying models and instructions on what to do with the models.

Version:	0.8.0
Depends:	R (≥ 3.4), shiny (≥ 1.0)
Imports:	adaptivetau (≥ 2.2), deSolve (≥ 1.13), dplyr (≥ 0.7.4), ggplot2 (≥ 2.2), gridExtra (≥ 2.3), lhs (≥ 0.15), plotly, stats (≥ 3.4), utils (≥ 3.4), XML (≥ 3.98)
Suggests:	covr, knitr (≥ 1.15), pkgdown, rmarkdown (≥ 1.10), testthat
Published:	2019-03-30
Author:	Andreas Handel [aut, cre], Isaac Chun-Hai Fung [ctb], Spencer Hall [ctb], Ben Listyg [ctb], Brian McKay [ctb], John Rossow [ctb], Sina Solaimanpour [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

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