These method functions return the model frame and design matrix for univariate or multivariate meta-analytical models represented in objects of class
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an object of class
further arguments passed to or from other methods.
The model frame is produced by
mvmeta when fitting the meta-analytical model, and stored in the
mvmeta object if argument
model=TRUE. Alternatively, the model frame is directly returned by
mvmeta with argument
method="model.frame". The method function
model.frame simply extracts the saved model frame if available, or otherwise evaluates a call to
The method function
model.matrix extracts the design matrix from a fitted meta-analytical model. It first extract the model frame by calling
model.frame, and then passes the call to the default method.
These methods functions are similar to those provided for regression objects
model.frame, a data.frame with special attributes (see the default method
model.frame) and the additional class
model.matrix, the design matrix used to fit the model.
The reason why these specific method functions are made available for class
mvmeta, and in particular why a new class
"data.frame.mvmeta" has been defined for model frames, lies in the special handling of missing values in multivariate meta-analysis models fitted with
na.exclude for class
"data.frame.mvmeta" are useful for properly accounting for missing values when fitting these models.
Antonio Gasparrini, [email protected]
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