Framework for Specifying and Simulating Individual Based Models
Overview
A framework which provides users a set of useful primitive elements for specifying individual based simulation models, with special attention models for infectious disease epidemiology. Users build models by specifying variables for each characteristic of individuals in the simulated population by using data structures exposed by the package. The package provides efficient methods for finding subsets of individuals based on these variables, or cohorts. Cohorts can then be targeted for variable updates or scheduled for events. Variable updates queued during a time step are executed at the end of a discrete time step, and the code places no restrictions on how individuals are allowed to interact. These data structures are designed to provide an intuitive way for users to turn their conceptual model of a system into executable code, which is fast and memory efficient.
- All variables and targeted events are resizable
- Ragged variables for integers and doubles
From NEWS.md in the release
Install
Health
CRAN check results are not tracked yet.
Documentation
- Help pages
- 19
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 5%
- Documented parameters
- 100%
- Return-value docs
- 32%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.3.0 released · 2023-04-21
- archivedRemoved from CRAN2022-08-08issues were not corrected in time
- 0.1.9
- RR 4.2.0 released · 2022-04-22
- 0.1.72021-10-25 · diff ↗
- 0.1.62021-10-14 · diff ↗
- unarchivedReturned to CRAN2021-07-29
- 0.1.42021-07-29 · diff ↗
- archivedRemoved from CRAN2021-07-04check issues were not corrected in time
- 0.1.12021-06-15
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-06-15
- Total releases
- 5 / 5 yrs
- License
- MIT + file LICENSE OSI
Cite
Cite this package
Run in R for the authors' entry:
citation("individual")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.21105/joss.03539.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.