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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), Dyadic Score Models (DSMs), and Dyad-Individual Models (DIMs). 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. 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: | 0.1.0 |
| Depends: | R (≥ 4.1) |
| Imports: | dplyr (≥ 1.1.0), pillar, rlang (≥ 0.4.0), tidyselect, tibble (≥ 3.0.0) |
| Suggests: | brms, glmmTMB, htmltools, knitr, lavaan, marginaleffects, rmarkdown, spelling, testthat (≥ 3.1.7) |
| Published: | 2026-07-30 |
| DOI: | 10.32614/CRAN.package.dyadMLM |
| Author: | Pascal Küng |
| Maintainer: | Pascal Küng <kueng.pascal at gmail.com> |
| BugReports: | https://github.com/Pascal-Kueng/dyadMLM/issues |
| License: | MIT + file LICENSE |
| 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 |
| 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) |
| Package source: | dyadMLM_0.1.0.tar.gz |
| Windows binaries: | r-devel: dyadMLM_0.1.0.zip, r-release: dyadMLM_0.1.0.zip, r-oldrel: dyadMLM_0.1.0.zip |
| macOS binaries: | r-release (arm64): dyadMLM_0.1.0.tgz, r-oldrel (arm64): dyadMLM_0.1.0.tgz, r-release (x86_64): dyadMLM_0.1.0.tgz, r-oldrel (x86_64): dyadMLM_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.