roundRobinR: Manipulate and Analyze Round Robin Dyadic Data
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.
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=roundRobinR
to link to this page.