Multilevel Mixed-Effects Modeling Using MATLAB
These files accompany the webinar which can be viewed here:
http://www.mathworks.com/videos/multilevel-mixed-effects-modeling-using-matlab-91755.html
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.
Citation pour cette source
Shashank Prasanna (2024). Multilevel Mixed-Effects Modeling Using MATLAB (https://www.mathworks.com/matlabcentral/fileexchange/46515-multilevel-mixed-effects-modeling-using-matlab), MATLAB Central File Exchange. Récupéré le .
Compatibilité avec les versions de MATLAB
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Windows macOS LinuxCatégories
- Control Systems > System Identification Toolbox > Linear Model Identification >
- Sciences > Biological and Health Sciences > Biostatistics >
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Version | Publié le | Notes de version | |
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1.5.0.1 | Updated license |
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1.5.0.0 | Updated for MATLAB R2014b |
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1.4.0.0 | Updated the webinar link |
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1.3.0.0 | Added copyrights to all MATLAB files |