DSAIRM: Dynamical Systems Approach to Immune Response Modeling

Simulation models (apps) 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:	0.8.6
Depends:	R (≥ 3.5), 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, rlang, stats, tidyr, utils (≥ 3.4), XML (≥ 3.98)
Suggests:	covr, devtools, knitr, pkgdown, rmarkdown, roxygen2, testthat
Published:	2020-07-14
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
Citation:	DSAIRM citation info
Materials:	NEWS
CRAN checks:	DSAIRM results

Downloads:

Linking:

Please use the canonical form https://CRAN.R-project.org/package=DSAIRM to link to this page.