{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/linear-models-and-linear-mixed-effects-models","title":"Linear models and linear mixed effects models in R with linguistic applications","arxiv_id":"1308.5499","date":"2013-08-26","proceeding":null,"authors":["Bodo Winter"],"abstract":"This text is a conceptual introduction to mixed effects modeling with\nlinguistic applications, using the R programming environment. The reader is\nintroduced to linear modeling and assumptions, as well as to mixed\neffects/multilevel modeling, including a discussion of random intercepts,\nrandom slopes and likelihood ratio tests. The example used throughout the text\nfocuses on the phonetic analysis of voice pitch data.","url_abs":"http://arxiv.org/abs/1308.5499v1","url_pdf":"http://arxiv.org/pdf/1308.5499v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"linear-models-and-linear-mixed-effects-models","repo_url":"https://github.com/somnath1077/statistical_rethinking","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}