These files accompany the webinar which can be viewed here:
About the webinar:
In this webinar you will learn how to fit wide variety of Linear Mixed-Effect (LME) models to make statistical inferences about your data and generate accurate predictions. Mixed-effect models are commonly used in econometrics (Panel Data), biostatistics and sociology (Longitudinal Data) where data is collected and summarized in groups. In these cases LME models with nested or crossed factors can fully incorporate group level contextual effects which cannot be accurately modeled by simple linear regression.
Shashank Prasanna (2019). Multilevel Mixed-Effects Modeling Using MATLAB (https://www.mathworks.com/matlabcentral/fileexchange/46515-multilevel-mixed-effects-modeling-using-matlab), MATLAB Central File Exchange. Retrieved .
Updated for MATLAB R2014b
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