dyads_ild: Example Gaussian intensive longitudinal dyadic data

In dyadMLM: Tools for Dyadic Multilevel Models

Example Gaussian intensive longitudinal dyadic data

Description

A simulated long-format dataset containing distinguishable female-male dyads and exchangeable female-female and male-male dyads. Each dyad has two members observed on 14 diary days.

Usage

dyads_ild

Format

A data frame with 10,080 rows and 6 variables:

personID

Unique person identifier.

coupleID

Dyad identifier.

diaryday

Measurement day, from 0 through 13.

gender

Gender role, with levels female and male.

closeness

Simulated Gaussian closeness outcome.

provided_support

Simulated provided-support score.

Details

The Gaussian outcome includes independent member-specific stationary AR(1) residual components. Their marginal standard deviation is 0.60 for both genders, with lag-1 correlations within these components of 0.55 for female members and 0.50 for male members. Separate shared and difference residuals induce same-occasion partner covariance.

Prepare with dyad = coupleID, member = personID, role = gender, and time = diaryday. 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.

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. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.5281/zenodo.17400655")}.

dyadMLM documentation built on Oct. 28, 2026, 1:06 a.m.