Multivariate Linear Mixed Models
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This menu provides facilities for analysis of multivariate linear mixed models and estimation of variance components using the method of residual maximum likelihood (REML), which is also sometimes called restricted maximum likelihood.

Data

This specifies the list of data variates to be analysed. The button allows multiple selections to be copied from Available Data.

Fixed Model

The fixed model describes imposed treatment factors and covariates for which the effect of specified levels or values are of interest. The model is described using a formula, which can combine main effects and interactions of factors and also covariates.

Random Model

The random model is generally used to describe those factors for which the values present in an experiment can be considered drawn from some large homogeneous population. The model is described using a formula, which can combine main effects and interactions of factors and also covariates.

Covariance Model Across Data

Allows you to specify the type of covariance model across the data. You can select either Identity or unstructured.

Available Data

This lists data structures appropriate to the current input field. The contents will change as you move from one field to the next. Double-click on a name to copy it to the current input field; alternatively, you can type in the name directly.

Operators

This provides a quick way of entering operators in the fixed and random model formulas. Double-click on the required symbol to copy it to the current input field. You can also type in operators directly. See model formula for a description of each.

See Also