mixed
Institute of Measurement Science SAS - MIXED estimates parameters of a linear mixed model (LMM) with a simple variance components structure
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Estimates the parameters of mixed linear model by using Henderson's Mixed Model Equations Algorithm.
References:
Searle, S.R., Cassela, G., McCulloch, C.E.: Variance Components. John Wiley & Sons, INC., New York, 1992. (pp. 275-286).
Witkovsky, V.: MATLAB Algorithm for solving Henderson's Mixed Model Equations. Technical Report No. 3/2000, Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, 2000.
Cite As
Viktor Witkovsky (2026). mixed (https://in.mathworks.com/matlabcentral/fileexchange/200-mixed), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: HPmixed: The High Performance Mixed Effects Model Toolbox
Inspired: HPmixed: The High Performance Mixed Effects Model Toolbox
General Information
- Version 2.0.1.1 (7.55 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 2.0.1.1 | Institute of Measurement Science SAS included in Summary |
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| 2.0.1.0 | Version 2 of the algorithm mixed.m polished for MATLAB Version 9.3. (R2017b) |
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| 2.0.0.0 | Version 2.0 of the algorithm mixed.m polished for MATLAB Version 9.3. (R2017b)
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| 1.0.0.0 |
