License: Creative Commons Attribution 4.0 (2MB) |
- URN to cite this document:
- urn:nbn:de:bvb:355-epub-531766
- DOI to cite this document:
- 10.5283/epub.53176
Abstract
Biological data are often intrinsically hierarchical (e.g., species from different genera, plants within different mountain regions), which made mixed-effects models a common analysis tool in ecology and evolution because they can account for the non-independence. Many questions around their practical applications are solved but one is still debated: Should we treat a grouping variable with a low ...
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