Confronting Quasi-Separation in Logistic Mixed Effects for Linguistic Data: A Bayesian Approach

Mixed effects regression models are widely used by language researchers. However, these regressions are implemented with an algorithm which may not converge on a solution. While convergence issues in linear mixed effects models can often be addressed with careful experiment design and model building...

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Bibliographic Details
Main Authors: Eager, C. (Author), Kimball, A.E (Author), Roy, J. (Author), Shantz, K. (Author)
Format: Article
Language:English
Published: Routledge 2019
Online Access:View Fulltext in Publisher