imaginarycss
0.1.0Tools for Studying Imaginary Cognitive Social Structure
Overview
Provides functions to measure and test imaginary cognitive social structure (CSS) motifs, which are patterns of perceived relationships among individuals in a social network. Includes tools for calculating motif frequencies, comparing observed motifs to expected distributions, and visualizing motif structures. Implements methods described in Tanaka and Vega Yon (2023) doi:10.1016/j.socnet.2023.11.005.
Install
Health
- WARNING r-oldrel-macos-arm64
- WARNING r-oldrel-macos-x86_64
- WARNING r-release-macos-x86_64
- WARNING2026-04-2210 OK · 0 NOTE · 4 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-189 OK · 0 NOTE · 4 WARNING · 1 ERROR · 0 FAILURE
- WARNING2026-03-109 OK · 0 NOTE · 4 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 7%
Downloads
Repository
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Repository practices
4 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/gvegayon/imaginary-structures on 2026-08-09.
Development tooling
Uses AI-assisted development tooling (declared in repo)
Earliest detected marker: copilot on 2025-08-08
Most recent: copilot on 2025-08-08
- copilot: on 2025-08-08 · evidence A, PR · sole bot-author seen
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-03-04
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 5.8 KB / 6 files
- Download size
- 408 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("imaginarycss")The authors publish a JOSS paper, so they have said how they want this cited. Run citation() and use what it gives you.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.