DSAIRM: Dynamical Systems Approach to Immune Response Modeling

A collection of 'shiny' apps that allow for the simulation and exploration of various within-host immune response scenarios. The purpose of the package is to help individuals learn about within-host infection and immune response modeling from a dynamical systems perspective. All apps include explanations of the underlying models and instructions on what to do with the models. The development of this package was partially supported by NIH grant U19AI117891.

Version:	0.8.2
Depends:	R (≥ 3.4), shiny (≥ 1.0)
Imports:	adaptivetau (≥ 2.2), boot (≥ 1.3-20), deSolve (≥ 1.20), dplyr (≥ 0.7.4), ggplot2 (≥ 2.2.1), gridExtra (≥ 2.3), lhs (≥ 0.15), nloptr (≥ 1.0.4), plotly, stats (≥ 3.4), utils (≥ 3.4), XML (≥ 3.98)
Suggests:	covr, knitr (≥ 1.15), pkgdown, rmarkdown (≥ 1.10), testthat
Published:	2019-07-08
Author:	Andreas Handel [aut, cre], Yang Ge [ctb], Spencer Hall [ctb], Sina Solaimanpour [ctb], Henok Woldu [ctb]
Maintainer:	Andreas Handel <ahandel at uga.edu>
BugReports:	https://github.com/ahgroup/DSAIRM/issues
License:	GPL-3
URL:	https://ahgroup.github.io/DSAIRM, https://github.com/ahgroup/DSAIRM/
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	DSAIRM results

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