Generalized Linear Mixed Model
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This menu estimates the parameters of a generalized linear mixed model using the method of Schall or the marginal method of Breslow and Clayton. The menu assumes a generalized linear mixed model, that is a generalized linear model with both fixed and random effects on the scale of the linear predictor. The menu estimates the fixed effects together with the variance components associated with the random effects.

Y-Variate

Specifies the response variate (dependent variate).

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.

Distribution

List of available error distributions. If you select the binomial distribution then you must supply the binomial totals in the space provided. Similarly, if the Negative binomial distribution is selected you must supply the aggregation parameter in the space provided.

Link Function

Lists the available link functions. If the Logratio link function is selected you can specify the parameter for logratio link in the form log(mean/(mean+k)) using the Logratio field.

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 Operators in model formulae for a description of each.

See Also