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motifr

1.0.0Package record

Motif Analysis in Multi-Level Networks

0packages depend
2.8Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

Tools for motif analysis in multi-level networks. Multi-level networks combine multiple networks in one, e.g. social-ecological networks. Motifs are small configurations of nodes and edges (subgraphs) occurring in networks. 'motifr' can visualize multi-level networks, count multi-level network motifs and compare motif occurrences to baseline models. It also identifies contributions of existing or potential edges to motifs to find critical or missing edges. The package is in many parts an R wrapper for the excellent 'SESMotifAnalyser' 'Python' package written by Tim Seppelt.

Changes in 1.0.0
  • First release on CRAN

---

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.9 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.0
READMEYes · 1,300 wordsVignettesYes · 3 · staticNEWSYes · 100% structured · mentions 1.0.0Citation fileNoWebsiteYes · pkgdown
Help pages
27
Examples that run
33%8 run in a plain check · 16 never run
Exported functions with examples
90%
Documented parameters
99%
Return-value docs
95%
Help pages citing references
0%

Downloads

2.8K
CRAN downloads in the past year
Rank #13,840 · ~8/day · ~229/mo
Daily download trend is not available in this view yet.
36230 days
83190 days
2.8K1 year
Compare downloads with other packages →
Also on65 r2u9 autocran

Repository

16Stars
2Forks
10Open issues
0Open PRs
3Releases
231Commits
4Commit identities
231 commits · Last activity 2021-05-24 · 0% stars, 30d · Discussions: 1 post
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
24
Median days to close, 50 most recently updated closed PRs
1

Stars over time

2025-03-25 · 162026-07-07 · 16
PracticesBeta

7 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/marioangst/motifr on 2026-10-11.

Continuous integration (1)
Travis CI (config file)
Docs source (3)
README.Rmdpkgdown

GitHub Pages site last deployed 2021-05-24

pkgdown site last built 2021-05-24

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
Show all practicesHide 1 practice
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
20 external dependencies (excludes base and recommended)

Installing motifr adds 59 packages (38 with compiled code, 51 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, igraph 4.8 MB.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 1.0.0 (2020)
Releases (1)
  • 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
  • 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
  • 1.0.0Latest
    2020-12-10 · current release
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-12-10
Total releases
1 / 6 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Bundled data
20 KB / 5 files
Download size
753 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("motifr")
Angst, M., & Seppelt, T. (2020). motifr: Motif Analysis in Multi-Level Networks (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.motifr

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 motifr version 1.0.0 [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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