A simulated long-format dataset containing the same dyads, members, and
dyad compositions as dyads_cross. Each member has one row. stress is the
member's average across the 14 observations in dyads_nbinom_ild. The count
outcome is a separate negative-binomial draw using the NB2 variance function;
it is not an average or sum of the daily counts.
Format
A data frame with 720 rows and 5 variables:
- personID
Unique person identifier.
- coupleID
Dyad identifier.
- gender
Gender role, with levels
femaleandmale.- conflict_count
Simulated number of conflictual interactions reported by a member.
- stress
Mean simulated stress score across 14 days.
Source
Simulated for dyadMLM; design adapted from
https://github.com/Pascal-Kueng/05DyadicDataAnalysis. See Küng,
P. M. (2026). Distinguishable and Exchangeable Dyads: Bayesian
Multilevel Modelling. Zenodo. doi:10.5281/zenodo.17400655
.
Details
Prepare with dyad = coupleID, member = personID, and role = gender.
These data contain three compositions. Use keep_compositions in
prepare_dyad_data() when an analysis should retain only selected
compositions; omit it when all supplied compositions should remain.