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EpiILM

1.5.4Package record

Spatial and Network Based Individual Level Models for Epidemics

0packages depend
4.7Kdownloads / year
35.7%test coverage
13/13flavors OK

Overview

About

Provides tools for simulating from discrete-time individual level models for infectious disease data analysis. This epidemic model class contains spatial and contact-network based models with two disease types: Susceptible-Infectious (SI) and Susceptible-Infectious-Removed (SIR).

Install

Health

CRAN checks
13OK
Slowest check: 6.9 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-03-10
Advisories

none known

Documentation

In release 1.5.4
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
13includes a package overview page
Examples that run
92%11 run in a plain check · 1 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
86%
Help pages citing references
54%

Also includes 2 demo scripts (run with demo())

Downloads

4.7K
CRAN downloads in the past year
Rank #8,232 · ~13/day · ~390/mo
Daily download trend is not available in this view yet.
50530 days
1.1K90 days
4.7K1 year
Compare downloads with other packages →
Also on376 r2u3 autocran110 c2d4u

Repository

6Stars
2Forks
0Open issues
0Open PRs
0Releases
36Commits
4Commit identities
36 commits · Last activity 2020-09-30 · The default branch showed an older version (1.5.2) than CRAN on 2026-10-21
Responsiveness
not measured

Stars over time

2023-05-25 · 62026-07-07 · 6
PracticesBeta

Checks run against github.com/waleedalmutiry/epiilm on 2026-10-21.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing EpiILM adds 6 packages (3 with compiled code, 5.2 MB of source tarballs). Heaviest: LaplacesDemon 2.0 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (7)
Imports (1)
methods
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 1.5.1 (2020) · added in 1.5
Author, Thesis advisor · added in 1.1

Previously maintained by Vineetha Warriyar. K. V. (1.0 to 1.5).

Listed in earlier versions (2)
Vineetha Warriyar. K. V.
no longer listed · 1.0 to 1.5.2
V.
no longer listed · 1.5.3 to 1.5.4
Releases (12)

Pick two releases to compare their code metrics.

  • 1.5.4Latest
    record
    2026-09-28 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • unarchivedReturned to CRAN
    2025-09-26
  • 1.5.3
    record
    2025-09-26 · diff ↗
  • archivedRemoved from CRAN
    2025-06-13
    issues were not corrected despite reminders
  • 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
  • 1.5.2
    record
    2020-09-30 · diff ↗
  • 1.5.1
    record
    2020-06-29 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.5
    record
    2020-03-12 · diff ↗ ·
    removed 2 exports
    epicurve, epispatial
    added 2 exports
    as.epidata, pred.epi
  • unarchivedReturned to CRAN
    2020-01-21
  • archivedRemoved from CRAN
    2020-01-16
    check issues were not corrected in time Differences from check output, platform-dependent
Show 11 earlier eventsHide 11 earlier events

Package metadata

First published
2017-04-14
Total releases
12 / 9 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.5.0
Bundled data
1.3 KB / 1 file
Download size
553 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("EpiILM")
Almutiry, W., Deardon, R., & V., V. W. K. (2026). EpiILM: Spatial and Network Based Individual Level Models for Epidemics (Version 1.5.4) [Computer software]. https://doi.org/10.32614/CRAN.package.EpiILM

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 EpiILM version 1.5.4 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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