roundRobinR
1.0.1Manipulate and Analyze Round Robin Dyadic Data
Overview
Provides utilities for processing and analyzing dyadic data collected using a round-robin design, in which each person in a group rates or interacts with every other person on at least one variable. Data manipulation functions prepare datasets for dyadic data analysis by creating the actor and partner dummy variables required by the social relations model (SRM). Analysis functions implement the SRM using multilevel modeling via a custom 'nlme' covariance class ('pdSRM'), following the approach of Snijders and Kenny (1999) doi:10.1111/j.1475-6811.1999.tb00204.x and Knight and Humphrey (2019) doi:10.1037/0000115-019. The package estimates group, actor, partner, and relationship variance components along with generalized and dyadic reciprocity correlations, and supports both null and fixed-effects models.
Install
Health
- OK2026-08-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0813 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0712 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-228 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 40%
- Documented parameters
- 96%
- Return-value docs
- 100%
- References docs
- 36%
Downloads
Repository
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Repository practices
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Checks run against github.com/andrewpknight/roundrobinr on 2026-08-16.
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
- 1.0.1Latest2026-04-22 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-04-22
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 9.8 KB / 1 file
- Download size
- 33 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("roundRobinR")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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For a number measured here: a download total, a coverage figure, an archival date.
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