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hybridModels

0.3.8Package record

An R Package for the Stochastic Simulation of Disease Spreading in Dynamic Networks

0packages depend
2.8Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Simulates stochastic hybrid models for transmission of infectious diseases in dynamic networks. It is a metapopulation model in which each node in the network is a sub-population and disease spreads within nodes and among them, combining two approaches: stochastic simulation algorithm (doi:10.1146/annurev.physchem.58.032806.104637) and individual-based approach, respectively. Equations that models spread within nodes are customizable and there are two link types among nodes: migration and influence (commuting). More information in Fernando S. Marques, Jose H. H. Grisi-Filho, Marcos Amaku et al. (2020) doi:10.18637/jss.v094.i06.

Changes in 0.3.8
  • Updates plot method
  • Fixed S3 method registration in NAMESPACE
  • Replaced deprecated doctype tag and removed unused references

From NEWS in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

Documentation signals are not tracked yet for this package.

Websitenot declared in DESCRIPTION

Downloads

2.8K
CRAN downloads in the past year
Rank #14,491 · ~8/day · ~231/mo
hybridModels
Daily download trend is not available in this view yet.
32130 days
81390 days
2.8K1 year
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Also on87 r2u2 autocran

Repository

3Stars
0Forks
0Open issues
0Open PRs
2Releases
167Commits
2Commit identities
License file reads as GPL-3.0 · 167 commits · Last activity 2025-04-19
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
0
PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/fernandosm/hybridmodels on 2026-10-11.

CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing hybridModels adds 30 packages (13 with compiled code, 29 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, Rcpp 1.8 MB.

Depends (1)
R >= 4.4.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.2.6 (2016)
Releases (7)
  • R
    R 4.6.0 released · 2026-04-24
  • 0.3.8Latest
    2025-04-19 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.3.7
    2020-06-26 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.3.6
    2020-04-16 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.3.5
    2018-06-15 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.2.15
    2017-09-27 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 0.2.9
    2016-11-09 · diff ↗ ·
    added 1 export
    findContactChain
Show 3 earlier eventsHide 3 earlier events
  • R
    R 3.3.0 released · 2016-05-03
  • 0.2.6
    2016-01-20
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2016-01-20
Total releases
7 / 10 yrs
License
GPL (>= 2) OSI
Download size
29 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("hybridModels")
S. Marques, F., Amaku, M., & H. H. Grisi-Filho, J. (2025). hybridModels: An R Package for the Stochastic Simulation of Disease Spreading in Dynamic Networks (Version 0.3.8) [Computer software]. https://doi.org/10.32614/CRAN.package.hybridModels

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for hybridModels version 0.3.8 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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