# Linear models and linear mixed effects models in R with linguistic applications

arXiv: https://arxiv.org/abs/1308.5499 · HTML: https://mlsanity.com/paper/1308.5499/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Aug 2013.

## Built on by (most cited first, 1 of 1)

- [The Effect of Scripts and Formats on LLM Numeracy](https://mlsanity.com/paper/2601.15251/) (2026)

## 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.