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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Updated 20 Nov 2020

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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 (2024). mixed (https://www.mathworks.com/matlabcentral/fileexchange/200-mixed), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2017b
Compatible with any release
Platform Compatibility
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Version Published Release Notes
2.0.1.1

Institute of Measurement Science SAS included in Summary

2.0.1.0

Version 2 of the algorithm mixed.m polished for MATLAB Version 9.3. (R2017b)

2.0.0.0

Version 2.0 of the algorithm mixed.m polished for MATLAB Version 9.3. (R2017b)
Version 2.0 of the algorithm mixed.m polished for MATLAB Version 9.3. (R2017b)

1.0.0.0