dyadMLM: Tools for Dyadic Multilevel Models
Provides tools for dyadic multilevel modeling with linear and generalized linear mixed-effects models. It validates and prepares long-format cross-sectional and intensive longitudinal data, including ecological momentary assessment designs, for distinguishable and exchangeable dyads. It also supports datasets containing multiple observed dyad compositions. It constructs composition-aware, model-ready variables for Actor-Partner Interdependence Models (APIMs), Dyad-Individual Models (DIMs), and Dyadic Score Models (DSMs). Prepared data can be used with model engines such as 'glmmTMB' and 'brms' for Gaussian and non-Gaussian outcomes, including counts, proportions, and skewed continuous responses. Post-estimation tools compare compatible fitted models and back-transform exchangeable sum-and-difference random-effect covariance structures into member-level quantities. Experimental predictive checks compare observed and simulated response variances and partner correlations in Gaussian and selected non-Gaussian models. Distributional diagnostics separately check response distributions and residual patterns, using simulations that retain partner and time dependence. The APIM and DSM specifications and their relationships follow Iida et al. (2018) <doi:10.1177/0265407517725407>; the multilevel sum-and-difference random-effects implementation for exchangeable dyads adapts del Rosario and West (2025) <doi:10.1177/25152459251351286>.
| Version: | 0.3.0 |
| Depends: | R (≥ 4.1) |
| Imports: | cli, dplyr (≥ 1.1.1), pillar, rlang (≥ 0.4.0), tidyselect, tibble (≥ 3.0.0), withr (≥ 3.0.3) |
| Suggests: | brms, glmmTMB (≥ 1.1.11), htmltools, knitr, lavaan, lifecycle, marginaleffects, qgam, rmarkdown, spelling, testthat (≥ 3.1.7) |
| Published: | 2026-10-28 |
| DOI: | 10.32614/CRAN.package.dyadMLM |
| Author: | Pascal Küng  [aut,
cre, cph] |
| Maintainer: | Pascal Küng <kueng.pascal at gmail.com> |
| BugReports: | https://github.com/Pascal-Kueng/dyadMLM/issues |
| License: | GPL-3 |
| URL: | https://pascal-kueng.github.io/dyadMLM/, https://github.com/Pascal-Kueng/dyadMLM |
| NeedsCompilation: | no |
| Language: | en-US |
| Citation: | dyadMLM citation info |
| Materials: | README, NEWS |
| CRAN checks: | dyadMLM results |
Documentation:
| Reference manual: | dyadMLM.html , dyadMLM.pdf |
| Vignettes: |
Actor-Partner Interdependence Model (APIM) (source, R code) Dyad-Individual Model (source, R code) Dyadic Score Model (DSM) (source, R code) Getting Started (source, R code) |
Downloads:
| Package source: | dyadMLM_0.3.0.tar.gz |
| Windows binaries: | r-devel: dyadMLM_0.2.0.zip, r-release: dyadMLM_0.3.0.zip, r-oldrel: dyadMLM_0.2.0.zip |
| macOS binaries: | r-release (arm64): dyadMLM_0.3.0.tgz, r-oldrel (arm64): dyadMLM_0.3.0.tgz, r-release (x86_64): dyadMLM_0.3.0.tgz, r-oldrel (x86_64): dyadMLM_0.3.0.tgz |
| Old sources: | dyadMLM archive |
Linking:
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