modelbased: An R package to make the most out of your statistical models through marginal means, marginal effects, and model predictions
Makowski et al., (2025). modelbased: An R package to make the most out of your statistical models through marginal means, marginal effects, and model predictions. Journal of Open Source Software, 10(109), 7969, https://doi.org/10.21105/joss.07969
Authors
- Brenton M. Wiernik (ORCID: https://orcid.org/0000-0001-9560-6336)
- Mattan S. Ben‐Shachar (ORCID: https://orcid.org/0000-0002-4287-4801)
- Daniel Lüdecke (ORCID: https://orcid.org/0000-0002-8895-3206)
- Indrajeet Patil (ORCID: https://orcid.org/0000-0003-1995-6531)
- Rémi Thériault (ORCID: https://orcid.org/0000-0003-4315-6788)
- Dominique Makowski (ORCID: https://orcid.org/0000-0001-5375-9967)
Institutions
- Carl Zeiss (Germany) (DE)
- Universität Hamburg (DE)
- University of Sussex (GB)
- University Medical Center Hamburg-Eppendorf (DE)
- New York University (US)
Publication Details
- Journal
- The Journal of Open Source Software
- Published
- 2025-05-30
- DOI
- https://doi.org/10.21105/joss.07969
- Citations
- 17
- Primary Topic
- Meta-analysis and systematic reviews
- Type
- article
- Field-Weighted Citation Impact
- 23.77