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A simulated intensive longitudinal long-format dataset for distinguishable dyads with a semi-continuous physical activity outcome. Each dyad contributes one row per member and measurement occasion.

Usage

example_dyadic_ILD_tweedie

Format

A data frame with 1,120 rows and 6 variables:

personID

Unique person identifier.

coupleID

Dyad identifier.

diaryday

Measurement day.

gender

Gender role, with levels female and male.

physical_activity

Simulated Tweedie-like physical activity outcome, with some missing values.

provided_support

Simulated provided support score, 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, role = gender, and time = diaryday.