DSAIRM
1.0.0Dynamical Systems Approach to Immune Response Modeling
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 95%
- Documented parameters
- 100%
- Return-value docs
- 97%
- References docs
- 3%
Downloads
Repository
Stars over time
Forks over time
Releases over time
PRs over time
Commits over time
Repository practices
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/ahgroup/dsairm on 2026-08-16.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
11 releases. Pick two to compare their code metrics. R releases are shown for context.
- 1.0.0Latest
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.9.62023-08-23 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 0.9.52022-07-01 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.9.32021-07-29 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 0.8.72021-03-20 · diff ↗
- 0.8.62020-07-14 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.8.22019-07-08 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 0.8.02019-04-04 · diff ↗
Package metadata
- First published
- 2018-08-13
- Total releases
- 11 / 8 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 1.0 KB / 2 files
- Download size
- 3.2 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("DSAIRM")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.