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.

Version: 0.9.6
Depends: R (≥ 4.0.0), shiny (≥ 1.2)
Imports: adaptivetau, boot, deSolve, dplyr, ggplot2, gridExtra, lhs, nloptr, plotly, rlang, stats, utils, XML
Suggests: covr, devtools, emoji, knitr, pkgdown, rmarkdown, roxygen2, testthat
Published: 2023-08-23
Author: Andreas Handel ORCID iD [aut, cre], Cody Dailey [ctb], Yang Ge [ctb], Spencer Hall [ctb], Brian McKay [ctb], Sina Solaimanpour [ctb], Alexis Vittengl [ctb], Henok Woldu [ctb]
Maintainer: Andreas Handel <andreas.handel at gmail.com>
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

Documentation:

Reference manual: DSAIRM.pdf
Vignettes: DSAIRM Package Tutorial

Downloads:

Package source: DSAIRM_0.9.6.tar.gz
Windows binaries: r-devel: DSAIRM_0.9.6.zip, r-release: DSAIRM_0.9.6.zip, r-oldrel: DSAIRM_0.9.6.zip
macOS binaries: r-release (arm64): DSAIRM_0.9.6.tgz, r-oldrel (arm64): DSAIRM_0.9.6.tgz, r-release (x86_64): DSAIRM_0.9.6.tgz
Old sources: DSAIRM archive

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