dyads_nbinom_cross: Example negative-binomial cross-sectional dyadic data

In dyadMLM: Tools for Dyadic Multilevel Models

Example negative-binomial cross-sectional dyadic data

Description

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.

Usage

dyads_nbinom_cross

Format

A data frame with 720 rows and 5 variables:

personID

Unique person identifier.

coupleID

Dyad identifier.

gender

Gender role, with levels female and male.

conflict_count

Simulated number of conflictual interactions reported by a member.

stress

Mean simulated stress score across 14 days.

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.

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.