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.