Mixed-Effects Multinomial Logistic Regression

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Shuyuan Liu
Shuyuan Liu 2016-7-25
评论： ElliotHSmith 2019-2-14
In my mixed-effect multinomial logistic regression model, the response Y is nominal with more than two levels. The predictors include a random effect (i.e., participant ID), binary predictors, and continuous predictors. The fitglme (<http://www.mathworks.com/help/stats/fitglme.html#namevaluepairs)>, fit generalized linear mixed-effect regression model does not support the multinomial outcome. And I can't find a way to add random effect when using mnrfit (<http://www.mathworks.com/help/stats/mnrfit.html#description)>. Due to the confidentiality of data, I can't post sample data set. Does anybody know if there's a function in MATLAB that can do mixed-effect multinomial logistic regression? Thanks very much!
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Ruadhan Stokes
Ruadhan Stokes 2016-11-30
Hey did you ever figure this out? I am currently tring to do the same thing and just realised fitglme doesn't generalise to multinomial

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