Linear models and linear mixed effects models in R with linguistic applications
classification
💻 cs.CL
keywords
effectslinearmixedmodelingapplicationslinguisticmodelsrandom
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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.
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