Linear models and linear mixed effects models in R with linguistic applications
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Abstract (arXiv)
This text is a conceptual introduction to mixed effects modeling with linguistic applications, using the R programming environment. The reader is introduced to linear modeling and assumptions, as well as to mixed effects/multilevel modeling, including a discussion of random intercepts, random slopes and likelihood ratio tests. The example used throughout the text focuses on the phonetic analysis of voice pitch data.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 26 Aug 2013.
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Citing papers per year: 2026: 1.
1 paper.
- 2026The Effect of Scripts and Formats on LLM Numeracycited by 1
- 2026The Effect of Scripts and Formats on LLM Numeracy21 Jan 2026