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modelSSE

0.1-3Package record

Modelling Infectious Disease Superspreading from Contact Tracing Data

0packages depend
2.2Kdownloads / year
–test coverage
0/13flavors OK

Overview

About
Maintained by Shi ZhaoCRAN page ↗

Comprehensive analytical tools are provided to characterize infectious disease superspreading from contact tracing surveillance data. The underlying theoretical frameworks of this toolkit include branching process with transmission heterogeneity (Lloyd-Smith et al. (2005) doi:10.1038/nature04153), case cluster size distribution (Nishiura et al. (2012) doi:10.1016/j.jtbi.2011.10.039, Blumberg et al. (2014) doi:10.1371/journal.ppat.1004452, and Kucharski and Althaus (2015) doi:10.2807/1560-7917.ES2015.20.25.21167), and decomposition of reproduction number (Zhao et al. (2022) doi:10.1371/journal.pcbi.1010281).

Install

Health

CRAN checks
13NOTE
Check messages
NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64

r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64

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r-oldrel-macos-arm64, r-oldrel-macos-x86_64

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CRAN check page ↗

Slowest check: 58 s · r-devel-windows-x86_64
Status changes
  • NOTE13 NOTE2026-06-08
  • ERROR12 NOTE, 1 ERROR2026-06-07
  • NOTE14 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1-3
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
13 (1 internal)
Examples that run
77%10 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran) · 1 hold no code
Exported functions with examples
100%
Documented parameters
54%
Return-value docs
100%
Help pages citing references
100%

Downloads

2.2K
CRAN downloads in the past year
Rank #22,081 · ~6/day · ~181/mo
Daily download trend is not available in this view yet.
25030 days
58890 days
2.2K1 year
Compare downloads with other packages →
Also on89 r2u10 autocran

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing modelSSE adds 1 package (1 with compiled code, 79 KB of source tarballs). Heaviest: Delaporte 79 KB.

Depends (1)
R >= 3.0.0
Imports (1)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.1-1 (2023)
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1-3Latest
    record
    2023-09-07 · current release · diff ↗
  • 0.1-2
    record
    2023-08-28 · diff ↗
  • 0.1-1
    record
    2023-06-30
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-06-30
Total releases
3 / 3 yrs
License
GPL-3 OSI
Minimum R
≥ 3.0.0
Bundled data
1.1 KB / 4 files
Download size
29 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("modelSSE")
Zhao, S. (2023). modelSSE: Modelling Infectious Disease Superspreading from Contact Tracing Data (Version 0.1-3) [Computer software]. https://doi.org/10.32614/CRAN.package.modelSSE

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 modelSSE version 0.1-3 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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