Example cross-sectional dyadic data with a Tweedie outcome — example_dyadic_crosssectional

A simulated cross-sectional long-format dataset for distinguishable dyads with a semi-continuous physical activity outcome. Each dyad contributes one row per member.

Usage

example_dyadic_crosssectional_tweedie

Format

A data frame with 240 rows and 5 variables:

personID: Unique person identifier.
coupleID: Dyad identifier.
gender: Gender role, with levels female and male.
motivation: Simulated motivation predictor, with some missing values.
physical_activity: Simulated Tweedie-like physical activity outcome, with some missing values.

Source

Adapted from https://github.com/Pascal-Kueng/05DyadicDataAnalysis. See Küng, P. M. (2026). Distinguishable and Exchangeable Dyads: Bayesian Multilevel Modelling (v2.0.9). Zenodo. doi:10.5281/zenodo.20720321 .

Details

Prepare with group = coupleID, member = personID, and role = gender.